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ESP: PubMed Auto Bibliography 08 Feb 2026 at 01:30 Created:
Biodiversity and Metagenomics
If evolution is the only light in which biology makes sense, and if variation is the raw material upon which selection works, then variety is not merely the spice of life, it is the essence of life — the sine qua non without which life could not exist. To understand biology, one must understand its diversity. Historically, studies of biodiversity were directed primarily at the realm of multicellular eukaryotes, since few tools existed to allow the study of non-eukaryotes. Because metagenomics allows the study of intact microbial communities, without requiring individual cultures, it provides a tool for understanding this huge, hitherto invisible pool of biodiversity, whether it occurs in free-living communities or in commensal microbiomes associated with larger organisms.
Created with PubMed® Query: biodiversity metagenomics NOT pmcbook NOT ispreviousversion
Citations The Papers (from PubMed®)
RevDate: 2026-02-07
CmpDate: 2026-02-07
Microbial taxonomic and functional responses to heavy metal gradients in mining-impacted stream sediments.
Environmental research, 293:123778.
Legacy heavy metal pollution from historical mining restructures sediment microbial composition and function directly impacting contaminant fate and ecosystem health. The Dongdagou stream (Baiyin, China) possesses a pronounced geochemical gradient caused by long-term discharge of potentially toxic metals including Cd, Cu, Pb, and Zn. We employed this natural gradient to characterize microbial taxonomic and functional responses to metal stress. Sediment samples from four zones along the contamination gradient were analyzed for geochemistry, metal concentrations, and microbial composition (bacteria, archaea, and fungi) via high-throughput amplicon sequencing, with functional potential inferred using PICRUSt2. We found that microbial community structure and function were primarily shaped by metal concentration, with db-RDA explaining 18.1 %, 12.4 %, and 12.9 % of the variance for bacteria, archaea, and fungi, respectively. Cadmium was identified as the strongest individual predictor for both bacterial (r[2] = 0.50, p = 0.001) and fungal (r[2] = 0.38, p = 0.001) communities. Bacterial diversity increased significantly downstream as contamination declined, with Shannon diversity increasing from 5.17 in the Source Zone to 6.28 in the Distal Zone (Tukey's multiple comparison test, p < 0.05). Upstream sediments were dominated by metal-tolerant taxa such as Sulfurifustis (17.4 %) and Acidithiobacillus (5.0 %), while downstream taxa shifted to heterotrophic genera like Gallionella (4.8 %) with diverse metabolic capabilities. Despite cadmium being a key predictor, archaeal and fungal communities demonstrated greater compositional stability than bacteria, as shown by their lower beta-dispersion (ANOSIM R = 0.3152 and 0.5762, respectively, compared to 0.7222 for bacteria), indicating potential functional redundancy. Metagenomic predictions revealed a significant enrichment of genes for metal detoxification, anaerobic respiration, and oxidative stress response in polluted zones. These findings establish that microbial communities are both sensitive bioindicators and key mediators of contaminant dynamics, providing a framework for using microbial signatures to assess sediment health and monitor remediation efficacy.
Additional Links: PMID-41539526
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@article {pmid41539526,
year = {2026},
author = {Uddin, G and Song, J and Lu, Z and Chaofie, Z and Sajjad, W and Li, P and Fan, Q},
title = {Microbial taxonomic and functional responses to heavy metal gradients in mining-impacted stream sediments.},
journal = {Environmental research},
volume = {293},
number = {},
pages = {123778},
doi = {10.1016/j.envres.2026.123778},
pmid = {41539526},
issn = {1096-0953},
mesh = {*Geologic Sediments/microbiology/chemistry ; *Metals, Heavy/analysis/toxicity ; *Mining ; Archaea/drug effects/classification ; *Water Pollutants, Chemical/analysis/toxicity ; Bacteria/drug effects/classification ; *Rivers/microbiology/chemistry ; China ; Fungi/drug effects/classification ; *Microbiota/drug effects ; Environmental Monitoring ; },
abstract = {Legacy heavy metal pollution from historical mining restructures sediment microbial composition and function directly impacting contaminant fate and ecosystem health. The Dongdagou stream (Baiyin, China) possesses a pronounced geochemical gradient caused by long-term discharge of potentially toxic metals including Cd, Cu, Pb, and Zn. We employed this natural gradient to characterize microbial taxonomic and functional responses to metal stress. Sediment samples from four zones along the contamination gradient were analyzed for geochemistry, metal concentrations, and microbial composition (bacteria, archaea, and fungi) via high-throughput amplicon sequencing, with functional potential inferred using PICRUSt2. We found that microbial community structure and function were primarily shaped by metal concentration, with db-RDA explaining 18.1 %, 12.4 %, and 12.9 % of the variance for bacteria, archaea, and fungi, respectively. Cadmium was identified as the strongest individual predictor for both bacterial (r[2] = 0.50, p = 0.001) and fungal (r[2] = 0.38, p = 0.001) communities. Bacterial diversity increased significantly downstream as contamination declined, with Shannon diversity increasing from 5.17 in the Source Zone to 6.28 in the Distal Zone (Tukey's multiple comparison test, p < 0.05). Upstream sediments were dominated by metal-tolerant taxa such as Sulfurifustis (17.4 %) and Acidithiobacillus (5.0 %), while downstream taxa shifted to heterotrophic genera like Gallionella (4.8 %) with diverse metabolic capabilities. Despite cadmium being a key predictor, archaeal and fungal communities demonstrated greater compositional stability than bacteria, as shown by their lower beta-dispersion (ANOSIM R = 0.3152 and 0.5762, respectively, compared to 0.7222 for bacteria), indicating potential functional redundancy. Metagenomic predictions revealed a significant enrichment of genes for metal detoxification, anaerobic respiration, and oxidative stress response in polluted zones. These findings establish that microbial communities are both sensitive bioindicators and key mediators of contaminant dynamics, providing a framework for using microbial signatures to assess sediment health and monitor remediation efficacy.},
}
MeSH Terms:
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hide MeSH Terms
*Geologic Sediments/microbiology/chemistry
*Metals, Heavy/analysis/toxicity
*Mining
Archaea/drug effects/classification
*Water Pollutants, Chemical/analysis/toxicity
Bacteria/drug effects/classification
*Rivers/microbiology/chemistry
China
Fungi/drug effects/classification
*Microbiota/drug effects
Environmental Monitoring
RevDate: 2026-02-07
CmpDate: 2026-02-07
Regulation of carbon cycling in plateau lakes by trophic states and seasonal variations: A focus on dissolved organic matter and microbial interactions.
Water research, 292:125312.
Plateau lakes are highly sensitive to climate change and anthropogenic disturbances. The intensification of seasonal variations caused by global warming has complicated the biogeochemical interactions between dissolved organic matter (DOM) and microbial communities. However, how DOM's chemical composition regulates microbial community dynamics and carbon cycling under varying trophic states and seasonal conditions remains unclear. Here, we employed Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and metagenomic sequencing to investigate the seasonal and trophic controls on DOM composition, microbial communities, and carbon cycling in plateau lakes. The results showed that in the dry season, DOM in the eutrophic lake exhibited pronounced aromaticity, with carboxyl-rich alicyclic molecules (CRAMs) constituting 42.80 % of the molecular pool. Conversely, during the wet season, sulfur- and nitrogen-containing compounds like CHOS and CHONS significantly increased, particularly in the eutrophic lake. The oligotrophic lake displayed the highest molecular lability, characterized by hydrogen-to-carbon (H/C) ratios of 1.24 and molecular lability indices (MLB%) of 34.76 %. Eutrophication altered microbial interaction networks, enhancing interspecies interactions and metabolic specialization. This metabolic shift drove preferential utilization of labile sugars in dry seasons and facilitated the degradation of recalcitrant carbon substrates in wet seasons, thereby optimizing carbon source partitioning. Notably, mesotrophic and oligotrophic lakes fostered resource cooperation by reducing network modularity and shaping carbon cycling through the coordinated action of multiple microbial groups. This study elucidates that carbon cycling in plateau lakes is governed by synergistic effects of trophic states and seasonal dynamics, with DOM serving as a critical mediator in microbial-driven carbon cycling dynamics.
Additional Links: PMID-41499829
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PubMed:
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@article {pmid41499829,
year = {2026},
author = {Huang, Z and Liu, H and Wang, C and Wang, J and Tian, C and Feng, J and Shen, J and Wang, X},
title = {Regulation of carbon cycling in plateau lakes by trophic states and seasonal variations: A focus on dissolved organic matter and microbial interactions.},
journal = {Water research},
volume = {292},
number = {},
pages = {125312},
doi = {10.1016/j.watres.2025.125312},
pmid = {41499829},
issn = {1879-2448},
mesh = {*Lakes/chemistry/microbiology ; Seasons ; *Carbon Cycle ; Eutrophication ; Carbon ; Microbial Interactions ; Microbiota ; },
abstract = {Plateau lakes are highly sensitive to climate change and anthropogenic disturbances. The intensification of seasonal variations caused by global warming has complicated the biogeochemical interactions between dissolved organic matter (DOM) and microbial communities. However, how DOM's chemical composition regulates microbial community dynamics and carbon cycling under varying trophic states and seasonal conditions remains unclear. Here, we employed Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and metagenomic sequencing to investigate the seasonal and trophic controls on DOM composition, microbial communities, and carbon cycling in plateau lakes. The results showed that in the dry season, DOM in the eutrophic lake exhibited pronounced aromaticity, with carboxyl-rich alicyclic molecules (CRAMs) constituting 42.80 % of the molecular pool. Conversely, during the wet season, sulfur- and nitrogen-containing compounds like CHOS and CHONS significantly increased, particularly in the eutrophic lake. The oligotrophic lake displayed the highest molecular lability, characterized by hydrogen-to-carbon (H/C) ratios of 1.24 and molecular lability indices (MLB%) of 34.76 %. Eutrophication altered microbial interaction networks, enhancing interspecies interactions and metabolic specialization. This metabolic shift drove preferential utilization of labile sugars in dry seasons and facilitated the degradation of recalcitrant carbon substrates in wet seasons, thereby optimizing carbon source partitioning. Notably, mesotrophic and oligotrophic lakes fostered resource cooperation by reducing network modularity and shaping carbon cycling through the coordinated action of multiple microbial groups. This study elucidates that carbon cycling in plateau lakes is governed by synergistic effects of trophic states and seasonal dynamics, with DOM serving as a critical mediator in microbial-driven carbon cycling dynamics.},
}
MeSH Terms:
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*Lakes/chemistry/microbiology
Seasons
*Carbon Cycle
Eutrophication
Carbon
Microbial Interactions
Microbiota
RevDate: 2026-02-07
CmpDate: 2026-02-07
Multi-Omics Signatures of Periodontitis and Periodontal Therapy on the Oral and Gut Microbiome.
Journal of periodontal research, 60(12):1237-1253.
AIM: To characterize the impact of periodontitis and of Steps I-II of periodontal therapy on microbiome composition, function, and metabolic output across the oral and gut environments.
METHODS: A multi-omics analysis was performed on saliva and stool samples collected from 50 systemically healthy individuals with and without Stage III-IV periodontitis. For participants with periodontitis, samples were analyzed both at baseline and 3 months after Steps I-II of periodontal therapy. High-throughput whole metagenome sequencing was used to profile microbial taxa and functional genes, NMR-based metabolomics profiled host-microbial metabolites. Single-omic differential abundance analysis between healthy samples and periodontitis samples was performed with MaAsLin2, while analysis between pre- and post-treatment was conducted with timeOmics. Variable selection and subsequent supervised multivariate analysis to determine group-separating markers utilized multi-level sparse Partial Least Squares Discriminant Analysis (sPLS-DA) through mixOmics. KEGG pathway enrichment was analyzed using clusterProfiler, whereas multi-omic data integration was performed with multi-block Partial Least Squares regression analysis.
RESULTS: Periodontitis was associated with significant compositional and functional changes in both saliva and stool, with increased abundance of pathobionts and loss of health-associated taxa in both niches. A subset of species was shared across oral and gut habitats, with detectable differences across clinical groups. As functional potential, periodontitis enriched microbial pro-inflammatory pathways (lipopolysaccharide biosynthesis, bacterial motility) and depleted beneficial short-chain fatty acid (SCFA)- and vitamin-producing functions. Metabolomic profiles revealed reduced SCFAs and amino acids in periodontitis, with elevated pro-inflammatory metabolites (succinate, trimethylamine) in both saliva and stool. Following therapy, microbial communities and their metabolic output partially reverted toward health-associated profiles, particularly in saliva. Stool samples showed subtler but consistent shifts, including a decrease in some typically oral species and decreased succinate and methylamine and restoration of amino acid and SCFA-related metabolites.
CONCLUSIONS: Periodontitis is associated with coordinated microbial and metabolic signatures across the oral and gut environments. Non-surgical periodontal therapy promotes partial ecological restoration in both niches, supporting the view of oral health as a modifiable target for influencing systemic microbial homeostasis.
TRIAL REGISTRATION: ClinicalTrials.gov identification number: NCT04826926.
Additional Links: PMID-41307322
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PubMed:
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@article {pmid41307322,
year = {2025},
author = {Baima, G and Dabdoub, S and Thumbigere-Math, V and Ribaldone, DG and Caviglia, GP and Tenori, L and Fantato, L and Vignoli, A and Romandini, M and Ferrocino, I and Aimetti, M},
title = {Multi-Omics Signatures of Periodontitis and Periodontal Therapy on the Oral and Gut Microbiome.},
journal = {Journal of periodontal research},
volume = {60},
number = {12},
pages = {1237-1253},
doi = {10.1111/jre.70055},
pmid = {41307322},
issn = {1600-0765},
support = {CUP B83C22004800006//Next Generation EU/ ; DM 1557 11.10.2022//Next Generation EU/ ; Prot. P2022YEX5R//Next Generation EU Program and the Italian Ministry of University and Research/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome ; Saliva/microbiology ; *Periodontitis/microbiology/therapy/metabolism ; Male ; Feces/microbiology ; Female ; Metabolomics ; Adult ; Middle Aged ; *Mouth/microbiology ; Multiomics ; },
abstract = {AIM: To characterize the impact of periodontitis and of Steps I-II of periodontal therapy on microbiome composition, function, and metabolic output across the oral and gut environments.
METHODS: A multi-omics analysis was performed on saliva and stool samples collected from 50 systemically healthy individuals with and without Stage III-IV periodontitis. For participants with periodontitis, samples were analyzed both at baseline and 3 months after Steps I-II of periodontal therapy. High-throughput whole metagenome sequencing was used to profile microbial taxa and functional genes, NMR-based metabolomics profiled host-microbial metabolites. Single-omic differential abundance analysis between healthy samples and periodontitis samples was performed with MaAsLin2, while analysis between pre- and post-treatment was conducted with timeOmics. Variable selection and subsequent supervised multivariate analysis to determine group-separating markers utilized multi-level sparse Partial Least Squares Discriminant Analysis (sPLS-DA) through mixOmics. KEGG pathway enrichment was analyzed using clusterProfiler, whereas multi-omic data integration was performed with multi-block Partial Least Squares regression analysis.
RESULTS: Periodontitis was associated with significant compositional and functional changes in both saliva and stool, with increased abundance of pathobionts and loss of health-associated taxa in both niches. A subset of species was shared across oral and gut habitats, with detectable differences across clinical groups. As functional potential, periodontitis enriched microbial pro-inflammatory pathways (lipopolysaccharide biosynthesis, bacterial motility) and depleted beneficial short-chain fatty acid (SCFA)- and vitamin-producing functions. Metabolomic profiles revealed reduced SCFAs and amino acids in periodontitis, with elevated pro-inflammatory metabolites (succinate, trimethylamine) in both saliva and stool. Following therapy, microbial communities and their metabolic output partially reverted toward health-associated profiles, particularly in saliva. Stool samples showed subtler but consistent shifts, including a decrease in some typically oral species and decreased succinate and methylamine and restoration of amino acid and SCFA-related metabolites.
CONCLUSIONS: Periodontitis is associated with coordinated microbial and metabolic signatures across the oral and gut environments. Non-surgical periodontal therapy promotes partial ecological restoration in both niches, supporting the view of oral health as a modifiable target for influencing systemic microbial homeostasis.
TRIAL REGISTRATION: ClinicalTrials.gov identification number: NCT04826926.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome
Saliva/microbiology
*Periodontitis/microbiology/therapy/metabolism
Male
Feces/microbiology
Female
Metabolomics
Adult
Middle Aged
*Mouth/microbiology
Multiomics
RevDate: 2026-02-05
Intersite differences in gut microbiome are associated with habitat quality in a limestone forest-dwelling langur.
BMC microbiology pii:10.1186/s12866-026-04800-7 [Epub ahead of print].
BACKGROUND: Studying the compositional structure and function of the gut microbiome is essential for evaluating adaptability of wildlife to their environment. Given the high plasticity of the gut microbiome in primates, studying conspecific populations under different habitat quality can provide valuable insights for the conservation and management. To investigate intersite differences in composition and function of the gut microbiome of endangered François' langurs (Trachypithecus francoisi), we employed 16S rRNA and metagenomic sequencing.
RESULTS: The results showed that higher gut microbiota diversity of François' langurs was associated with higher habitat quality, possibly driven by the dietary diversity. In contrast, François' langurs inhabiting lower-quality habitats had a higher relative abundance of Bacillota and more enriched functional genes related to amino acid metabolism and metabolic pathways than those in higher-quality habitats, which support enhanced fiber degradation to meet energy demands. Additionally, the proportion of tetracycline-related ARGs (tetA(58)) was more abundant in lower-quality habitats, likely due to villagers applying livestock and poultry manure.
CONCLUSION: Our study concludes that intersite differences in gut microbiome are associated with habitat quality in the François' langurs, underscoring its role in habitat adaptation and necessity for physiological indicators to elucidate the mechanisms by which wildlife responds to human disturbance and ecological variability. In addition, we recommend prioritizing the restoration of native vegetation diversity in the langurs' habitats, which leverages their gut microbiota's adaptive potential to provide a suitable fundamental environment for the langurs' long-term survival.
Additional Links: PMID-41645099
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PubMed:
Citation:
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@article {pmid41645099,
year = {2026},
author = {Qiu, Y and Mo, F and Chen, Y and Lai, Y and Zhang, K and Huang, Z},
title = {Intersite differences in gut microbiome are associated with habitat quality in a limestone forest-dwelling langur.},
journal = {BMC microbiology},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12866-026-04800-7},
pmid = {41645099},
issn = {1471-2180},
support = {2023GXNSFBA026045//Natural Science Foundation of Guangxi Zhuang Autonomous Region/ ; no.32170488//National Natural Science Foundation of China/ ; },
abstract = {BACKGROUND: Studying the compositional structure and function of the gut microbiome is essential for evaluating adaptability of wildlife to their environment. Given the high plasticity of the gut microbiome in primates, studying conspecific populations under different habitat quality can provide valuable insights for the conservation and management. To investigate intersite differences in composition and function of the gut microbiome of endangered François' langurs (Trachypithecus francoisi), we employed 16S rRNA and metagenomic sequencing.
RESULTS: The results showed that higher gut microbiota diversity of François' langurs was associated with higher habitat quality, possibly driven by the dietary diversity. In contrast, François' langurs inhabiting lower-quality habitats had a higher relative abundance of Bacillota and more enriched functional genes related to amino acid metabolism and metabolic pathways than those in higher-quality habitats, which support enhanced fiber degradation to meet energy demands. Additionally, the proportion of tetracycline-related ARGs (tetA(58)) was more abundant in lower-quality habitats, likely due to villagers applying livestock and poultry manure.
CONCLUSION: Our study concludes that intersite differences in gut microbiome are associated with habitat quality in the François' langurs, underscoring its role in habitat adaptation and necessity for physiological indicators to elucidate the mechanisms by which wildlife responds to human disturbance and ecological variability. In addition, we recommend prioritizing the restoration of native vegetation diversity in the langurs' habitats, which leverages their gut microbiota's adaptive potential to provide a suitable fundamental environment for the langurs' long-term survival.},
}
RevDate: 2026-02-05
CmpDate: 2026-02-05
Lipidomic and Metagenomic Profiling of Chinese Female Emerging Adults With Oily Scalp.
Journal of cosmetic dermatology, 25(2):e70714.
BACKGROUND: Excessive sebum secretion leads to oily scalps, which can disturb microbial homeostasis and cause various scalp issues, such as sensitive scalp, dandruff, and seborrheic dermatitis.
AIMS: This study aimed to investigate the characteristics of scalp lipids and microbiota in a group of females with excessive sebum secretion using omics technology, and to identify important relationships between feature lipids and dominant functional microbes on oily scalp.
METHODS: Through comparison of three lipidomic sampling methods, we first selected absorbent paper (AP) as a cost-effective and practical method for untargeted lipidomic profiling. Using this method, we then collected scalp surface lipids from 85 Chinese female emerging adults with varying degrees of excessive sebum and performed internal standard quantified lipidomic profiling using UPLC-QE Plus-MS equipped with LipidSearch software version 5.1. Simultaneously, we collected and analyzed scalp microorganisms using PE150 pair-end metagenomic sequencing on the Illumina NovaSeq platform followed by taxonomic and functional annotation with bioinformatic tools and databases. Afterwards, multivariate statistical analysis and bioinformatics were used to identify feature lipids related to high sebum levels, discern the roles of dominant microbes involved in lipid metabolism, and explore potential correlations between feature lipids and dominant functional microbes of oily scalp.
RESULTS: After comparison of three lipidomic sampling materials, absorbent paper (AP) was selected to collect scalp surface lipids from 85 volunteers. A total of 13 lipid classes were annotated and the most abundant in ESI (+) mode was triacylglycerol (TG, 99.18%) whereas in ESI (-) mode were fatty acid (FA, 56.94%) and O-acyl-(gamma-hydroxy) FA (OAHFA, 34.15%). We identified 27 TGs and 3 FAs as the major lipid molecules contributing to high sebum levels. Seventy percent of these TGs were unsaturated (33% monounsaturated, 26% diunsaturated, 11% triunsaturated), and 30% were saturated. Meanwhile, we found that although the dominant microorganisms, Cutibacterium, Lawsonella, Malassezia, and Staphylococcus were all involved in lipid metabolism on the scalp, only some of them were related to the degree of sebum level and also displayed species-specific preferences for lipids. Among them, Lawsonella clevelandensis and Malassezia globosa were weakly negatively associated with both unsaturated and saturated TGs, while Malassezia restricta and Cutibacterium granulosum were only weakly negatively correlated with saturated TGs, and Cutibacterium namnetense was weakly positively correlated with FA (26:0).
CONCLUSIONS: This study describes relevant lipid molecules contributing to higher sebum production, and reveals that L. clevelandensis, M. restricta, M. globosa, C. namnetense, and C. granulosum on the scalp are closely correlated with these lipids, showing species-specific preference. These findings provide new insights into the interaction between key surface lipids and dominant functional microorganisms on oily scalps.
Additional Links: PMID-41644290
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PubMed:
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@article {pmid41644290,
year = {2026},
author = {Yang, F and Xiang, B and Xia, D and Wu, Y and Chang, X and Sun, P and Zhang, M and Zhang, Y},
title = {Lipidomic and Metagenomic Profiling of Chinese Female Emerging Adults With Oily Scalp.},
journal = {Journal of cosmetic dermatology},
volume = {25},
number = {2},
pages = {e70714},
doi = {10.1111/jocd.70714},
pmid = {41644290},
issn = {1473-2165},
support = {//Proya Cosmetics Co. Ltd/ ; },
mesh = {Humans ; Female ; *Sebum/metabolism ; *Lipidomics/methods ; *Scalp/microbiology/metabolism ; Young Adult ; Adult ; *Dermatitis, Seborrheic/microbiology ; Metagenomics ; Microbiota ; *Scalp Dermatoses/microbiology ; China ; Dandruff/microbiology ; Lipids/analysis ; Paper ; East Asian People ; },
abstract = {BACKGROUND: Excessive sebum secretion leads to oily scalps, which can disturb microbial homeostasis and cause various scalp issues, such as sensitive scalp, dandruff, and seborrheic dermatitis.
AIMS: This study aimed to investigate the characteristics of scalp lipids and microbiota in a group of females with excessive sebum secretion using omics technology, and to identify important relationships between feature lipids and dominant functional microbes on oily scalp.
METHODS: Through comparison of three lipidomic sampling methods, we first selected absorbent paper (AP) as a cost-effective and practical method for untargeted lipidomic profiling. Using this method, we then collected scalp surface lipids from 85 Chinese female emerging adults with varying degrees of excessive sebum and performed internal standard quantified lipidomic profiling using UPLC-QE Plus-MS equipped with LipidSearch software version 5.1. Simultaneously, we collected and analyzed scalp microorganisms using PE150 pair-end metagenomic sequencing on the Illumina NovaSeq platform followed by taxonomic and functional annotation with bioinformatic tools and databases. Afterwards, multivariate statistical analysis and bioinformatics were used to identify feature lipids related to high sebum levels, discern the roles of dominant microbes involved in lipid metabolism, and explore potential correlations between feature lipids and dominant functional microbes of oily scalp.
RESULTS: After comparison of three lipidomic sampling materials, absorbent paper (AP) was selected to collect scalp surface lipids from 85 volunteers. A total of 13 lipid classes were annotated and the most abundant in ESI (+) mode was triacylglycerol (TG, 99.18%) whereas in ESI (-) mode were fatty acid (FA, 56.94%) and O-acyl-(gamma-hydroxy) FA (OAHFA, 34.15%). We identified 27 TGs and 3 FAs as the major lipid molecules contributing to high sebum levels. Seventy percent of these TGs were unsaturated (33% monounsaturated, 26% diunsaturated, 11% triunsaturated), and 30% were saturated. Meanwhile, we found that although the dominant microorganisms, Cutibacterium, Lawsonella, Malassezia, and Staphylococcus were all involved in lipid metabolism on the scalp, only some of them were related to the degree of sebum level and also displayed species-specific preferences for lipids. Among them, Lawsonella clevelandensis and Malassezia globosa were weakly negatively associated with both unsaturated and saturated TGs, while Malassezia restricta and Cutibacterium granulosum were only weakly negatively correlated with saturated TGs, and Cutibacterium namnetense was weakly positively correlated with FA (26:0).
CONCLUSIONS: This study describes relevant lipid molecules contributing to higher sebum production, and reveals that L. clevelandensis, M. restricta, M. globosa, C. namnetense, and C. granulosum on the scalp are closely correlated with these lipids, showing species-specific preference. These findings provide new insights into the interaction between key surface lipids and dominant functional microorganisms on oily scalps.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Female
*Sebum/metabolism
*Lipidomics/methods
*Scalp/microbiology/metabolism
Young Adult
Adult
*Dermatitis, Seborrheic/microbiology
Metagenomics
Microbiota
*Scalp Dermatoses/microbiology
China
Dandruff/microbiology
Lipids/analysis
Paper
East Asian People
RevDate: 2026-02-06
CmpDate: 2026-02-06
Strain-specific impacts of Pichia kudriavzevii on metabolite profiles and microbial community dynamics in Chinese Baijiu fermentation: Integrated metabolomics and metagenomics analysis.
International journal of food microbiology, 450:111660.
Pichia kudriavzevii is a dominant yeast species in Chinese baijiu fermentation, yet its intraspecific diversity remains underexplored. This study used metabolomics and metagenomics analysis to investigate the impact of four distinct P. kudriavzevii strains (PK12, PK25, PK97, and PK360) on the metabolite profiles and microbial community structure in a controlled baijiu solid-state fermentation. Metabolomics analysis identified 49 key volatile compounds and 2792 non-volatile metabolites. Strain PK97 exhibited exceptional capacity for butanoic acid metabolism, inducing a 55.27-fold increase in butanoic acid and a 30.54-fold enhancement in ethyl butanoate production. Strain PK25 specialized in acetoin biosynthesis, while PK360 maximized 2-phenylethanol production. Metagenomic analysis uncovered that strains PK12, PK25, and PK360 promoted Lactobacillus acetotolerans population, increasing its relative abundance to 67.39%, 58.57%, and 71.79%, respectively. In contrast, strain PK97 orchestrated a dramatic ecological shift, elevating Enterobacter mori abundance from 0.56% to 17.60%, transforming the community from Lactobacillus-dominated to Enterobacteriaceae-enriched. Integration of metabolomic and metagenomic data revealed that strain PK97's promotion of Enterobacter mori correlated with significant upregulation of key enzymes including α-amylase (EC 3.2.1.1), enoyl-CoA hydratase (EC 4.2.1.17), and succinyl-CoA synthetase (EC 6.2.1.5), creating a metabolic environment favoring enhanced starch hydrolysis, altered TCA cycle flux, and butanoic acid accumulation. Strain PK25 specifically upregulated acetyl-CoA hydrolase (EC 3.1.2.1), facilitating acetic acid and acetoin formation. Strain PK360 enhanced glucose pyrophosphorylase (EC 2.7.7.9) and asparagine synthetase (EC 6.3.1.1) activities, accelerating galactose metabolism and amino acid transformations. These findings illustrate the impact of P. kudriavzevii intraspecific diversity on reshaping microbial ecology and flavor chemistry in Chinese baijiu, offering novel insights for targeted fermentation control and quality enhancement strategies in baijiu production.
Additional Links: PMID-41592403
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PubMed:
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@article {pmid41592403,
year = {2026},
author = {Zhang, B and Wang, M and Zheng, J and Yu, C and Wei, C and Ren, J and Sun, S and Wang, G and Wang, J and Lu, Y and Lin, L and Zhang, C},
title = {Strain-specific impacts of Pichia kudriavzevii on metabolite profiles and microbial community dynamics in Chinese Baijiu fermentation: Integrated metabolomics and metagenomics analysis.},
journal = {International journal of food microbiology},
volume = {450},
number = {},
pages = {111660},
doi = {10.1016/j.ijfoodmicro.2026.111660},
pmid = {41592403},
issn = {1879-3460},
mesh = {Fermentation ; Metagenomics ; Metabolomics ; *Pichia/metabolism/genetics/classification ; China ; *Microbiota ; *Wine/microbiology/analysis ; Species Specificity ; },
abstract = {Pichia kudriavzevii is a dominant yeast species in Chinese baijiu fermentation, yet its intraspecific diversity remains underexplored. This study used metabolomics and metagenomics analysis to investigate the impact of four distinct P. kudriavzevii strains (PK12, PK25, PK97, and PK360) on the metabolite profiles and microbial community structure in a controlled baijiu solid-state fermentation. Metabolomics analysis identified 49 key volatile compounds and 2792 non-volatile metabolites. Strain PK97 exhibited exceptional capacity for butanoic acid metabolism, inducing a 55.27-fold increase in butanoic acid and a 30.54-fold enhancement in ethyl butanoate production. Strain PK25 specialized in acetoin biosynthesis, while PK360 maximized 2-phenylethanol production. Metagenomic analysis uncovered that strains PK12, PK25, and PK360 promoted Lactobacillus acetotolerans population, increasing its relative abundance to 67.39%, 58.57%, and 71.79%, respectively. In contrast, strain PK97 orchestrated a dramatic ecological shift, elevating Enterobacter mori abundance from 0.56% to 17.60%, transforming the community from Lactobacillus-dominated to Enterobacteriaceae-enriched. Integration of metabolomic and metagenomic data revealed that strain PK97's promotion of Enterobacter mori correlated with significant upregulation of key enzymes including α-amylase (EC 3.2.1.1), enoyl-CoA hydratase (EC 4.2.1.17), and succinyl-CoA synthetase (EC 6.2.1.5), creating a metabolic environment favoring enhanced starch hydrolysis, altered TCA cycle flux, and butanoic acid accumulation. Strain PK25 specifically upregulated acetyl-CoA hydrolase (EC 3.1.2.1), facilitating acetic acid and acetoin formation. Strain PK360 enhanced glucose pyrophosphorylase (EC 2.7.7.9) and asparagine synthetase (EC 6.3.1.1) activities, accelerating galactose metabolism and amino acid transformations. These findings illustrate the impact of P. kudriavzevii intraspecific diversity on reshaping microbial ecology and flavor chemistry in Chinese baijiu, offering novel insights for targeted fermentation control and quality enhancement strategies in baijiu production.},
}
MeSH Terms:
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Fermentation
Metagenomics
Metabolomics
*Pichia/metabolism/genetics/classification
China
*Microbiota
*Wine/microbiology/analysis
Species Specificity
RevDate: 2026-02-06
CmpDate: 2026-02-06
Lactic acid spraying on split carcasses reshapes microbial succession and reduces the occurrence of blown pack spoilage in vacuum-packaged beef stored at different temperatures over extended shelf life.
International journal of food microbiology, 450:111659.
Beef is a highly perishable product due to its high moisture content, neutral pH, and rich nutrient profile, which favor microbial growth and spoilage. While vacuum packaging extends shelf life by limiting aerobic bacteria, it may promote the proliferation of anaerobic and facultative anaerobic spoilage organisms, leading to blown pack spoilage. This study investigated the effects of lactic acid spraying on split carcasses categorized by two pH levels (high or ideal) on microbial succession and volatile organic compound (VOC) production in vacuum-packaged sirloins, stored at 0 °C, 4 °C, and 7 °C for up to 120 days. Using culture-based methods, 16S rRNA gene sequencing, and VOC profiling, it has been found that lactic acid treatment significantly reduced initial bacterial loads, especially in high-pH split carcasses (P < 0,05), and modulated microbial communities over time. Treated samples exhibited a lower incidence of blown pack spoilage (BPS) under specific storage time-temperature conditions. Nevertheless, bacterial changes under specific time-temperature storage conditions were characterized by a microbiota dominated by Lactococcus, Lactobacillus, Leuconostoc, Enterococcus, Carnobacterium, Hafnia-Obesumbacterium, and Serratia, regardless type of treatment. Overall microbial diversity was not significantly affected; however, the composition of dominant bacterial genera and VOC profiles differed between treated and non-treated groups, suggesting that specific bacterial taxa and compounds may serve as indicators of spoilage progression in vacuum-packed meat under defined storage conditions.
Additional Links: PMID-41592401
Publisher:
PubMed:
Citation:
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@article {pmid41592401,
year = {2026},
author = {Sandes, S and Figueiredo, N and Pires, S and Assis, D and Pedroso, S and Paiva, MJ and Neumann, E and Alvarenga, VO and Contreras-Castillo, CJ and Sant'Ana, AS},
title = {Lactic acid spraying on split carcasses reshapes microbial succession and reduces the occurrence of blown pack spoilage in vacuum-packaged beef stored at different temperatures over extended shelf life.},
journal = {International journal of food microbiology},
volume = {450},
number = {},
pages = {111659},
doi = {10.1016/j.ijfoodmicro.2026.111659},
pmid = {41592401},
issn = {1879-3460},
mesh = {Animals ; Food Packaging/methods ; Cattle ; Vacuum ; *Bacteria/drug effects/genetics/isolation & purification/classification/growth & development ; *Lactic Acid/pharmacology ; Temperature ; Food Storage ; Food Microbiology ; *Food Preservation/methods ; *Red Meat/microbiology ; Hydrogen-Ion Concentration ; Volatile Organic Compounds/analysis ; Microbiota/drug effects ; },
abstract = {Beef is a highly perishable product due to its high moisture content, neutral pH, and rich nutrient profile, which favor microbial growth and spoilage. While vacuum packaging extends shelf life by limiting aerobic bacteria, it may promote the proliferation of anaerobic and facultative anaerobic spoilage organisms, leading to blown pack spoilage. This study investigated the effects of lactic acid spraying on split carcasses categorized by two pH levels (high or ideal) on microbial succession and volatile organic compound (VOC) production in vacuum-packaged sirloins, stored at 0 °C, 4 °C, and 7 °C for up to 120 days. Using culture-based methods, 16S rRNA gene sequencing, and VOC profiling, it has been found that lactic acid treatment significantly reduced initial bacterial loads, especially in high-pH split carcasses (P < 0,05), and modulated microbial communities over time. Treated samples exhibited a lower incidence of blown pack spoilage (BPS) under specific storage time-temperature conditions. Nevertheless, bacterial changes under specific time-temperature storage conditions were characterized by a microbiota dominated by Lactococcus, Lactobacillus, Leuconostoc, Enterococcus, Carnobacterium, Hafnia-Obesumbacterium, and Serratia, regardless type of treatment. Overall microbial diversity was not significantly affected; however, the composition of dominant bacterial genera and VOC profiles differed between treated and non-treated groups, suggesting that specific bacterial taxa and compounds may serve as indicators of spoilage progression in vacuum-packed meat under defined storage conditions.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
Food Packaging/methods
Cattle
Vacuum
*Bacteria/drug effects/genetics/isolation & purification/classification/growth & development
*Lactic Acid/pharmacology
Temperature
Food Storage
Food Microbiology
*Food Preservation/methods
*Red Meat/microbiology
Hydrogen-Ion Concentration
Volatile Organic Compounds/analysis
Microbiota/drug effects
RevDate: 2026-02-06
CmpDate: 2026-02-06
Endophyte profiling of tomato leaf curl virus (ToLCV) resistant and susceptible tomato genotypes: Insights into microbial diversity and growth promotion.
Scientific reports, 16(1):5348.
Tomato (Solanum lycopersicum L.) is one of the most widely cultivated vegetable crops globally. Still, its productivity is significantly constrained by tomato leaf curl virus (ToLCV), a devastating begomovirus transmitted by whiteflies. This study examined the diversity and plant growth-promoting potential of culturable endophytes associated with tomato cultivars differing in resistance to tomato leaf curl virus (ToLCV). A total of 59 fungal and bacterial endophytes were isolated. Resistant cultivars (Nandi, Sankranthi, and Vybhav) harboured more diverse and compositionally distinct communities than the susceptible cultivar Arka Vikas, as indicated by Shannon, Simpson, and Chao-1 indices and multivariate analyses. Several isolates, particularly from the genera Xylaria, Fusarium, Arcopilus, Epicoccum, Bacillus, Pseudomonas, Stutzerimonas, and Paenibacillus, displayed strong nutrient-solubilizing traits in vitro, highlighting their potential as plant growth-promoting candidates. Eleven promising isolates were further evaluated on the susceptible cultivar Arka Vikas. At 30 days after sowing, Epicoccum nigrum and Bacillus subtilis significantly increased seedling height, biomass, and leaf number relative to the control. Overall, the study reveals that resistant cultivars are associated with greater culturable endophyte diversity and identifies several isolates with strong potential for promoting plant growth. Future research should assess the antiviral potential of these endophytes under ToLCV challenge and employ metagenomic studies to elucidate their functional roles in enhancing plant health.
Additional Links: PMID-41582242
PubMed:
Citation:
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@article {pmid41582242,
year = {2026},
author = {Chethan, D and Kavya, BS and Arati, and Chandana, R and Gowtham, HP and Ashika, S and Chanchala, S and Nagaraju, N and Reddy, CNL and Kunjeti, SG and Ningaraju, TM},
title = {Endophyte profiling of tomato leaf curl virus (ToLCV) resistant and susceptible tomato genotypes: Insights into microbial diversity and growth promotion.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {5348},
pmid = {41582242},
issn = {2045-2322},
mesh = {*Solanum lycopersicum/virology/genetics/microbiology/growth & development ; *Endophytes/genetics/isolation & purification/classification ; *Begomovirus/pathogenicity ; *Plant Diseases/virology/genetics/microbiology ; *Disease Resistance/genetics ; Genotype ; Biodiversity ; Bacteria/isolation & purification/genetics/classification ; },
abstract = {Tomato (Solanum lycopersicum L.) is one of the most widely cultivated vegetable crops globally. Still, its productivity is significantly constrained by tomato leaf curl virus (ToLCV), a devastating begomovirus transmitted by whiteflies. This study examined the diversity and plant growth-promoting potential of culturable endophytes associated with tomato cultivars differing in resistance to tomato leaf curl virus (ToLCV). A total of 59 fungal and bacterial endophytes were isolated. Resistant cultivars (Nandi, Sankranthi, and Vybhav) harboured more diverse and compositionally distinct communities than the susceptible cultivar Arka Vikas, as indicated by Shannon, Simpson, and Chao-1 indices and multivariate analyses. Several isolates, particularly from the genera Xylaria, Fusarium, Arcopilus, Epicoccum, Bacillus, Pseudomonas, Stutzerimonas, and Paenibacillus, displayed strong nutrient-solubilizing traits in vitro, highlighting their potential as plant growth-promoting candidates. Eleven promising isolates were further evaluated on the susceptible cultivar Arka Vikas. At 30 days after sowing, Epicoccum nigrum and Bacillus subtilis significantly increased seedling height, biomass, and leaf number relative to the control. Overall, the study reveals that resistant cultivars are associated with greater culturable endophyte diversity and identifies several isolates with strong potential for promoting plant growth. Future research should assess the antiviral potential of these endophytes under ToLCV challenge and employ metagenomic studies to elucidate their functional roles in enhancing plant health.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Solanum lycopersicum/virology/genetics/microbiology/growth & development
*Endophytes/genetics/isolation & purification/classification
*Begomovirus/pathogenicity
*Plant Diseases/virology/genetics/microbiology
*Disease Resistance/genetics
Genotype
Biodiversity
Bacteria/isolation & purification/genetics/classification
RevDate: 2026-02-06
CmpDate: 2026-02-06
Metagenomics insights into the effects of lactic acid bacteria inoculation on the microbial communities and antibiotic resistance genes in mare milk.
International journal of food microbiology, 450:111622.
Antibiotic resistance genes (ARGs) are emerging contaminants threatening public health, yet their transmission risk via mare milk products remains understudied. Using metagenomics, we analyzed lactic acid bacteria (LAB)-inoculated fermented, naturally fermented, raw, and pasteurized mare milk to investigate the effect of LAB inoculation on the distribution and transmission pathways of ARGs in mare milk. The results showed that naturally fermented, raw, and pasteurized mare milk had the highest number of pathogens, relative abundance of ARGs, and relative abundance of mobile genetic elements (MGEs), while LAB inoculation significantly reduced these (p < 0.05). Bacillota was the dominant microbial group in different samples. Compared to naturally fermented and raw mare milk, LAB-inoculated fermentation significantly altered microbial community structure (p < 0.05). This not only reduced or eliminated certain harmful bacteria but also decreased the abundance of total ARGs and multiple ARG subtypes by reducing host bacteria and MGEs. Microbes and MGEs jointly drove ARG transmission, with microbes being key. Transposon, Bacteroidota, and Pseudomonadota are the major MGEs and microbial taxa for ARG transmission. LAB inoculation can effectively inhibit the spread of 11 ARG types, including β-lactam and multidrug resistance, by weakening the co-occurrence network among microbes, ARGs, and MGEs. This study enhances understanding of resistance genes in diverse equine dairy products, elucidates the impact of LAB fermentation on ARG distribution and transmission pathways in mare milk, and provides valuable data references and theoretical guidance for safer equine dairy processing.
Additional Links: PMID-41547150
Publisher:
PubMed:
Citation:
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@article {pmid41547150,
year = {2026},
author = {Liu, J and Huang, X and Wang, Y and Wang, Y and Luo, R and Lu, X and Cao, K and Xing, J and Tu, Y and Zheng, W},
title = {Metagenomics insights into the effects of lactic acid bacteria inoculation on the microbial communities and antibiotic resistance genes in mare milk.},
journal = {International journal of food microbiology},
volume = {450},
number = {},
pages = {111622},
doi = {10.1016/j.ijfoodmicro.2026.111622},
pmid = {41547150},
issn = {1879-3460},
mesh = {Animals ; Horses ; *Milk/microbiology ; Metagenomics ; *Lactobacillales/genetics/physiology ; Fermentation ; *Microbiota ; *Drug Resistance, Microbial/genetics ; Bacteria/genetics/classification/isolation & purification/drug effects ; Anti-Bacterial Agents/pharmacology ; *Drug Resistance, Bacterial/genetics ; Female ; Food Microbiology ; },
abstract = {Antibiotic resistance genes (ARGs) are emerging contaminants threatening public health, yet their transmission risk via mare milk products remains understudied. Using metagenomics, we analyzed lactic acid bacteria (LAB)-inoculated fermented, naturally fermented, raw, and pasteurized mare milk to investigate the effect of LAB inoculation on the distribution and transmission pathways of ARGs in mare milk. The results showed that naturally fermented, raw, and pasteurized mare milk had the highest number of pathogens, relative abundance of ARGs, and relative abundance of mobile genetic elements (MGEs), while LAB inoculation significantly reduced these (p < 0.05). Bacillota was the dominant microbial group in different samples. Compared to naturally fermented and raw mare milk, LAB-inoculated fermentation significantly altered microbial community structure (p < 0.05). This not only reduced or eliminated certain harmful bacteria but also decreased the abundance of total ARGs and multiple ARG subtypes by reducing host bacteria and MGEs. Microbes and MGEs jointly drove ARG transmission, with microbes being key. Transposon, Bacteroidota, and Pseudomonadota are the major MGEs and microbial taxa for ARG transmission. LAB inoculation can effectively inhibit the spread of 11 ARG types, including β-lactam and multidrug resistance, by weakening the co-occurrence network among microbes, ARGs, and MGEs. This study enhances understanding of resistance genes in diverse equine dairy products, elucidates the impact of LAB fermentation on ARG distribution and transmission pathways in mare milk, and provides valuable data references and theoretical guidance for safer equine dairy processing.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
Horses
*Milk/microbiology
Metagenomics
*Lactobacillales/genetics/physiology
Fermentation
*Microbiota
*Drug Resistance, Microbial/genetics
Bacteria/genetics/classification/isolation & purification/drug effects
Anti-Bacterial Agents/pharmacology
*Drug Resistance, Bacterial/genetics
Female
Food Microbiology
RevDate: 2026-02-06
CmpDate: 2026-02-06
A novel synbiotic (SCM06) for anxiety and sensory hyperresponsiveness in children with autism spectrum disorder: an open-label pilot study.
NPJ biofilms and microbiomes, 12(1):36.
Anxiety and sensory hyperresponsiveness are common in children with autism spectrum disorder (ASD), but effective treatments are lacking. Targeting the microbiota-gut-brain axis is a promising strategy. This open-label pilot study evaluated SCM06, a novel synbiotic designed to target anxiety and sensory hyperresponsiveness, in 30 children with ASD (mean age 8.2 years, 22 males). We assessed symptom improvement, compliance, and safety, and collected stool samples for metagenomics and metabolomic analysis over 12 weeks. SCM06 was safe and well-tolerated, and significant improvements were observed in anxiety, sensory hyperresponsiveness, and abdominal pain. Following SCM06 treatment, increase in Bifidobacterium pseudocatenulatum was associated with improved functional abdominal pain (p = 0.0011, p_adj = 0.054), while the abundances of valeric acid and butyric acid increased (p_adj = 0.004 and p_adj = 0.072). Key microbial species, Coprococcus comes and Veillonella dispar, were candidate mediators of symptom improvements. Further randomised controlled trials are warranted to confirm its clinical efficacy.
Additional Links: PMID-41535300
PubMed:
Citation:
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@article {pmid41535300,
year = {2026},
author = {Wong, OWH and Xu, Z and Chan, SSM and Mo, FYM and Shea, CKS and Su, Q and Wan, MYT and Cheung, CP and Ching, JYL and Tang, W and Tun, HM and Chan, FKL and Ng, SC},
title = {A novel synbiotic (SCM06) for anxiety and sensory hyperresponsiveness in children with autism spectrum disorder: an open-label pilot study.},
journal = {NPJ biofilms and microbiomes},
volume = {12},
number = {1},
pages = {36},
pmid = {41535300},
issn = {2055-5008},
support = {NCI202346//New Cornerstone Science Foundation/ ; },
mesh = {Humans ; Pilot Projects ; Male ; *Autism Spectrum Disorder/microbiology/therapy/complications ; Female ; Child ; *Synbiotics/administration & dosage ; *Anxiety/therapy/microbiology ; Gastrointestinal Microbiome ; Feces/microbiology ; Metagenomics ; Treatment Outcome ; Bacteria/classification/genetics/isolation & purification ; Metabolomics ; },
abstract = {Anxiety and sensory hyperresponsiveness are common in children with autism spectrum disorder (ASD), but effective treatments are lacking. Targeting the microbiota-gut-brain axis is a promising strategy. This open-label pilot study evaluated SCM06, a novel synbiotic designed to target anxiety and sensory hyperresponsiveness, in 30 children with ASD (mean age 8.2 years, 22 males). We assessed symptom improvement, compliance, and safety, and collected stool samples for metagenomics and metabolomic analysis over 12 weeks. SCM06 was safe and well-tolerated, and significant improvements were observed in anxiety, sensory hyperresponsiveness, and abdominal pain. Following SCM06 treatment, increase in Bifidobacterium pseudocatenulatum was associated with improved functional abdominal pain (p = 0.0011, p_adj = 0.054), while the abundances of valeric acid and butyric acid increased (p_adj = 0.004 and p_adj = 0.072). Key microbial species, Coprococcus comes and Veillonella dispar, were candidate mediators of symptom improvements. Further randomised controlled trials are warranted to confirm its clinical efficacy.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Pilot Projects
Male
*Autism Spectrum Disorder/microbiology/therapy/complications
Female
Child
*Synbiotics/administration & dosage
*Anxiety/therapy/microbiology
Gastrointestinal Microbiome
Feces/microbiology
Metagenomics
Treatment Outcome
Bacteria/classification/genetics/isolation & purification
Metabolomics
RevDate: 2026-02-06
CmpDate: 2026-02-06
Rumen microbiota modulates metabolic stress in high-yield dairy cows: insights from early to peak lactation.
Microbiome, 14(1):61.
BACKGROUND: Early lactation (EL) in high-yield dairy cows represents a critical lactation phase marked by significant metabolic stress, which often provokes health disorders and production losses. The rumen microbiome is instrumental in regulating host health and metabolism. However, its contribution to metabolic stress experienced by EL cows has been largely unexplored.
RESULTS: Metabolic stress was prominently observed during EL in the form of elevated oxidative stress (OS), inflammation, and lipolysis. This stress gradually decreased with the progression of lactation from day in milk (DIM) 21 to 90. To identify the underlying mechanisms, this study analyzed EL cows (DIM 32) and peak lactation (PL, DIM 72) using an integrative approach including rumen metagenomics, rumen metabolomics, host metabolomics, and their interactions. Metagenomic analysis revealed a higher abundance of methanogenic archaea (Methanobrevibacter and Methanosphaera) in EL cows, driving increased methane production and subsequent energy loss. This energy waste likely worsened the negative energy balance and caused excessive lipolysis in EL cows. In contrast, the rumen microbiota of PL cows was enriched with Prevotella species and anti-inflammatory bacterial genera (Bacteroides, Parabacteroides, and Alistipes), which are associated with the alleviation of host metabolic stress. Functional analysis of the rumen microbiota uncovered increased tryptophan biosynthesis in EL cows, driving kynurenine production. Conversely, PL cows exhibited a greater abundance of enzymes involved in tryptophan metabolism, thus facilitating the production of indole-3-acetic acid (IAA). Metabolomics analysis also identified the tryptophan metabolism pathway as a shared link between the rumen and serum. Specifically, the kynurenine pathway, associated with OS and inflammation, was upregulated in EL cows, while the indole pathway, particularly the production of IAA, was markedly elevated in PL cows, which attenuated OS and inflammation.
CONCLUSIONS: The study results indicate that the rumen microbiota is pivotal in mitigating metabolic stress in EL cows by modulating tryptophan metabolism. Specifically, the transition from EL to PL was characterized by an enhanced tryptophan-indole pathway and a suppressed tryptophan-kynurenine pathway. The results offer meaningful insights into the microbial mechanisms underlying metabolic stress and identify potential strategies for improving cow health and productivity during lactation. Video Abstract.
Additional Links: PMID-41514445
PubMed:
Citation:
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@article {pmid41514445,
year = {2026},
author = {Li, M and Zhu, S and Sun, H and Huo, Y and Cao, Q and Deng, Z and Li, K and He, Y and Lu, X and Gao, J and Xu, C},
title = {Rumen microbiota modulates metabolic stress in high-yield dairy cows: insights from early to peak lactation.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {61},
pmid = {41514445},
issn = {2049-2618},
support = {32402957//National Natural Science Foundation of China/ ; 32125038//National Natural Science Foundation of China/ ; BX20240417//China National Postdoctoral Program for Innovative Talents/ ; 2024M753563//China Postdoctoral Science Foundation funded project/ ; 2023YFD1801100//National Key Research and Development Program of China/ ; },
mesh = {Animals ; Cattle ; *Rumen/microbiology/metabolism ; *Lactation/physiology ; Female ; *Gastrointestinal Microbiome ; Metagenomics/methods ; Bacteria/classification/genetics/isolation & purification/metabolism ; *Stress, Physiological ; Milk/metabolism ; Oxidative Stress ; Metabolomics ; Archaea/classification/genetics/isolation & purification ; Methane/metabolism ; },
abstract = {BACKGROUND: Early lactation (EL) in high-yield dairy cows represents a critical lactation phase marked by significant metabolic stress, which often provokes health disorders and production losses. The rumen microbiome is instrumental in regulating host health and metabolism. However, its contribution to metabolic stress experienced by EL cows has been largely unexplored.
RESULTS: Metabolic stress was prominently observed during EL in the form of elevated oxidative stress (OS), inflammation, and lipolysis. This stress gradually decreased with the progression of lactation from day in milk (DIM) 21 to 90. To identify the underlying mechanisms, this study analyzed EL cows (DIM 32) and peak lactation (PL, DIM 72) using an integrative approach including rumen metagenomics, rumen metabolomics, host metabolomics, and their interactions. Metagenomic analysis revealed a higher abundance of methanogenic archaea (Methanobrevibacter and Methanosphaera) in EL cows, driving increased methane production and subsequent energy loss. This energy waste likely worsened the negative energy balance and caused excessive lipolysis in EL cows. In contrast, the rumen microbiota of PL cows was enriched with Prevotella species and anti-inflammatory bacterial genera (Bacteroides, Parabacteroides, and Alistipes), which are associated with the alleviation of host metabolic stress. Functional analysis of the rumen microbiota uncovered increased tryptophan biosynthesis in EL cows, driving kynurenine production. Conversely, PL cows exhibited a greater abundance of enzymes involved in tryptophan metabolism, thus facilitating the production of indole-3-acetic acid (IAA). Metabolomics analysis also identified the tryptophan metabolism pathway as a shared link between the rumen and serum. Specifically, the kynurenine pathway, associated with OS and inflammation, was upregulated in EL cows, while the indole pathway, particularly the production of IAA, was markedly elevated in PL cows, which attenuated OS and inflammation.
CONCLUSIONS: The study results indicate that the rumen microbiota is pivotal in mitigating metabolic stress in EL cows by modulating tryptophan metabolism. Specifically, the transition from EL to PL was characterized by an enhanced tryptophan-indole pathway and a suppressed tryptophan-kynurenine pathway. The results offer meaningful insights into the microbial mechanisms underlying metabolic stress and identify potential strategies for improving cow health and productivity during lactation. Video Abstract.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
Cattle
*Rumen/microbiology/metabolism
*Lactation/physiology
Female
*Gastrointestinal Microbiome
Metagenomics/methods
Bacteria/classification/genetics/isolation & purification/metabolism
*Stress, Physiological
Milk/metabolism
Oxidative Stress
Metabolomics
Archaea/classification/genetics/isolation & purification
Methane/metabolism
RevDate: 2026-02-06
CmpDate: 2026-02-06
The impact of rumen and hindgut microbiomes on the persistent productivity of long-lived dairy cows.
Microbiome, 14(1):60.
BACKGROUND: In high-producing dairy systems, the average productive lifespan of cows is around 2.5-4 years. Persistent productivity and longevity are key determinants of dairy cow production performance and herd profitability. Although gastrointestinal microbiota influences dairy cow productivity, the mechanisms by which host-microbiome interactions support sustained productivity in long-lived dairy cows remain unclear. Therefore, this study integrated the metagenomics and metabolomics of the rumen and rectum, along with serum and milk metabolomics, to elucidate the potential impact of the rumen and rectum microbiota on the productivity of long-lived dairy cows.
RESULTS: Serum alanine aminotransferase (ALT), alkaline phosphatase (ALP), total cholesterol (TC), and high-density and low-density lipoprotein cholesterol (HDL-C and LDL-C) levels in long-lived dairy cows were positively correlated with milk yield (MY) and elevated in long-lived high-yielding (LH) dairy cows, whereas insulin (INS) and glucagon (GCG) were negatively correlated with MY and higher in long-lived low-yielding (LL) dairy cows. Rumen propionate level was elevated in LH group and positively correlated with MY. The rumen microbiome, in LH cows upregulated pathways involved in amino acid, cofactor, and vitamin metabolism. LH cows' rumen and rectum microbial networks had cohesion and vulnerability levels similar to those of LL cows and exhibited dependence on key nodes. The rumen and rectum MY-associated purine metabolites, guanosine and D-ribose-1-phosphate, mediated 65.56% and 67.55% of the significant positive effects of Acidaminococcaceae bacterium and Parabacteroides sp. on MY, respectively. Furthermore, the specific lipid metabolism-associated rumen microbiota module enhanced serum eicosapentaenoic acid (EPA) levels by modulating rumen α-linolenic acid metabolism, thereby promoting the synthesis of Pe(20:5/0:0) in milk, which positively contributed to MY.
CONCLUSIONS: This study revealed the potential contributions of the rumen and rectum microbiota to the productivity of long-lived dairy cows via purine metabolites, as well as the potential role of the rumen microbial network module in influencing productivity through α-linolenic acid metabolism, providing new insights for nutritional management strategies aimed at improving the persistent production capacity of dairy cows. Video Abstract.
Additional Links: PMID-41514433
PubMed:
Citation:
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@article {pmid41514433,
year = {2026},
author = {Yang, J and Feng, Y and Guo, T and Guo, S and Yang, M and Zhou, D and Lin, P and Wang, A and Jin, Y},
title = {The impact of rumen and hindgut microbiomes on the persistent productivity of long-lived dairy cows.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {60},
pmid = {41514433},
issn = {2049-2618},
support = {2023YFD1801100//National Key R&D Program of China/ ; 2022GD-TSLD-46//Shaanxi Livestock and Poultry Breeding Double-chain Fusion Key Project/ ; 2018BBF33001//The Key R&D Program of Ningxia Hui Autonomous Region/ ; },
mesh = {Animals ; Cattle ; *Rumen/microbiology ; *Gastrointestinal Microbiome ; Female ; Milk/chemistry/metabolism ; *Rectum/microbiology ; Metagenomics ; Lactation ; Metabolomics ; Bacteria/classification/genetics/isolation & purification ; Dairying ; Longevity ; },
abstract = {BACKGROUND: In high-producing dairy systems, the average productive lifespan of cows is around 2.5-4 years. Persistent productivity and longevity are key determinants of dairy cow production performance and herd profitability. Although gastrointestinal microbiota influences dairy cow productivity, the mechanisms by which host-microbiome interactions support sustained productivity in long-lived dairy cows remain unclear. Therefore, this study integrated the metagenomics and metabolomics of the rumen and rectum, along with serum and milk metabolomics, to elucidate the potential impact of the rumen and rectum microbiota on the productivity of long-lived dairy cows.
RESULTS: Serum alanine aminotransferase (ALT), alkaline phosphatase (ALP), total cholesterol (TC), and high-density and low-density lipoprotein cholesterol (HDL-C and LDL-C) levels in long-lived dairy cows were positively correlated with milk yield (MY) and elevated in long-lived high-yielding (LH) dairy cows, whereas insulin (INS) and glucagon (GCG) were negatively correlated with MY and higher in long-lived low-yielding (LL) dairy cows. Rumen propionate level was elevated in LH group and positively correlated with MY. The rumen microbiome, in LH cows upregulated pathways involved in amino acid, cofactor, and vitamin metabolism. LH cows' rumen and rectum microbial networks had cohesion and vulnerability levels similar to those of LL cows and exhibited dependence on key nodes. The rumen and rectum MY-associated purine metabolites, guanosine and D-ribose-1-phosphate, mediated 65.56% and 67.55% of the significant positive effects of Acidaminococcaceae bacterium and Parabacteroides sp. on MY, respectively. Furthermore, the specific lipid metabolism-associated rumen microbiota module enhanced serum eicosapentaenoic acid (EPA) levels by modulating rumen α-linolenic acid metabolism, thereby promoting the synthesis of Pe(20:5/0:0) in milk, which positively contributed to MY.
CONCLUSIONS: This study revealed the potential contributions of the rumen and rectum microbiota to the productivity of long-lived dairy cows via purine metabolites, as well as the potential role of the rumen microbial network module in influencing productivity through α-linolenic acid metabolism, providing new insights for nutritional management strategies aimed at improving the persistent production capacity of dairy cows. Video Abstract.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
Cattle
*Rumen/microbiology
*Gastrointestinal Microbiome
Female
Milk/chemistry/metabolism
*Rectum/microbiology
Metagenomics
Lactation
Metabolomics
Bacteria/classification/genetics/isolation & purification
Dairying
Longevity
RevDate: 2026-02-06
CmpDate: 2026-02-06
Short-chain fatty acids and their gut microbial pathways distinguish rheumatoid arthritis in discordant monozygotic twins.
Annals of the rheumatic diseases, 85(2):254-264.
OBJECTIVES: Although genetic risk factors, such as HLA-DRB1 alleles, contribute to the pathogenesis of rheumatoid arthritis (RA), the concordance rate in monozygotic (MZ) twins is low, suggesting that other factors are involved in disease development. Further, the relative contribution of nongenetic elements in identical twins has not been characterised. Here, we aimed to characterise host and microbial biomarkers of RA by studying MZ twins discordant for disease using a multiomics approach.
METHODS: Eight pairs of MZ twins discordant for RA (N = 16) were enrolled in the United States (US). The gut microbiome was assessed using shotgun metagenomic sequencing. Autoantibodies, cytokines, and plasma proteins were measured in both plasma and faeces. Levels of short-chain fatty acids (SCFAs) from serum and faeces were quantified using gas chromatography mass spectrometry (GC-MS). Metagenomic data from a UK twin registry (TwinsUK) (N = 14) were used to validate findings in the US population.
RESULTS: Although microbiome diversity and composition did not differ between twins, we observed a significant decrease in the SCFA-producing bacteria Blautia faecis and significantly lower concentrations of faecal butyrate and propionate in affected RA twins in the US. TwinsUK showed a similar reduction in the SCFA-producers Gemmiger formicilis and Faecalicatena fissicatena, as well as bacterial SCFA metabolism pathways.
CONCLUSIONS: Multiomics biomarkers differentiate MZ twins discordant for RA. Faecal butyrate and propionate, as well as SCFA-producing bacteria, were decreased in affected twins. We found a similar decrease in SCFA-producing taxa in affected twins in a geographically distinct cohort in the UK. Our results suggest that, if further validated in larger cohorts, multiomics approaches may improve our understanding of RA pathogenesis and, potentially, contribute to more accurate diagnostics and coadjuvant therapies.
Additional Links: PMID-41027803
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PubMed:
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@article {pmid41027803,
year = {2026},
author = {Blank, RB and Bu, K and Zhang, X and Chen, W and Cunningham, I and Sokolove, J and Lahey, L and Heguy, A and Medina, R and Ubeda, C and Nayak, RR and Hu, J and Cantor, A and Lee, J and Williams, FMK and Clemente, JC and Scher, JU},
title = {Short-chain fatty acids and their gut microbial pathways distinguish rheumatoid arthritis in discordant monozygotic twins.},
journal = {Annals of the rheumatic diseases},
volume = {85},
number = {2},
pages = {254-264},
doi = {10.1016/j.ard.2025.08.029},
pmid = {41027803},
issn = {1468-2060},
mesh = {Humans ; *Arthritis, Rheumatoid/microbiology/genetics/metabolism/diagnosis ; *Twins, Monozygotic ; *Fatty Acids, Volatile/metabolism/blood ; *Gastrointestinal Microbiome/genetics ; Male ; Female ; Middle Aged ; Biomarkers/metabolism ; Feces/chemistry/microbiology ; Adult ; Aged ; },
abstract = {OBJECTIVES: Although genetic risk factors, such as HLA-DRB1 alleles, contribute to the pathogenesis of rheumatoid arthritis (RA), the concordance rate in monozygotic (MZ) twins is low, suggesting that other factors are involved in disease development. Further, the relative contribution of nongenetic elements in identical twins has not been characterised. Here, we aimed to characterise host and microbial biomarkers of RA by studying MZ twins discordant for disease using a multiomics approach.
METHODS: Eight pairs of MZ twins discordant for RA (N = 16) were enrolled in the United States (US). The gut microbiome was assessed using shotgun metagenomic sequencing. Autoantibodies, cytokines, and plasma proteins were measured in both plasma and faeces. Levels of short-chain fatty acids (SCFAs) from serum and faeces were quantified using gas chromatography mass spectrometry (GC-MS). Metagenomic data from a UK twin registry (TwinsUK) (N = 14) were used to validate findings in the US population.
RESULTS: Although microbiome diversity and composition did not differ between twins, we observed a significant decrease in the SCFA-producing bacteria Blautia faecis and significantly lower concentrations of faecal butyrate and propionate in affected RA twins in the US. TwinsUK showed a similar reduction in the SCFA-producers Gemmiger formicilis and Faecalicatena fissicatena, as well as bacterial SCFA metabolism pathways.
CONCLUSIONS: Multiomics biomarkers differentiate MZ twins discordant for RA. Faecal butyrate and propionate, as well as SCFA-producing bacteria, were decreased in affected twins. We found a similar decrease in SCFA-producing taxa in affected twins in a geographically distinct cohort in the UK. Our results suggest that, if further validated in larger cohorts, multiomics approaches may improve our understanding of RA pathogenesis and, potentially, contribute to more accurate diagnostics and coadjuvant therapies.},
}
MeSH Terms:
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Humans
*Arthritis, Rheumatoid/microbiology/genetics/metabolism/diagnosis
*Twins, Monozygotic
*Fatty Acids, Volatile/metabolism/blood
*Gastrointestinal Microbiome/genetics
Male
Female
Middle Aged
Biomarkers/metabolism
Feces/chemistry/microbiology
Adult
Aged
RevDate: 2026-02-05
CmpDate: 2026-02-05
Microbial Metabolism and Disease Virulence Changes Across Day and Night in Coral Black Band Disease Lesions.
Environmental microbiology, 28(2):e70219.
Coral black band disease (BBD) is characterised as a cyanobacteria-dominated microbial mat that rapidly kills underlying coral tissue. Solar radiation promotes lesion progression by fuelling the cyanobacterial photosynthesis, while sulphate-reducing bacteria and sulphide-oxidising bacteria are implicated in sulphide dynamics within the mat. How the metabolism of the key microbial communities in the mat varies under light and dark conditions and impacts lesion virulence is poorly characterised, however. To compare microbial gene expression under different light regimes, we recovered 28 near-complete BBD-derived metagenome-assembled genomes (MAGs) using Oxford Nanopore Technologies long-read sequencing and profiled Illumina metatranscriptomic reads from BBD lesions collected at day and night by mapping to these MAGs. Genes from the cyanobacterium Roseofilum reptotaenium dominated the differentially expressed genes, with photosynthesis highly represented during the daytime. Relative expression of sulphur and nitrogen metabolism, cofactor biosynthesis, chemotaxis and motility increased among the non-cyanobacterial members at night. Enhanced sulphur reduction by Campylobacteriales and Desulfovibrionaceae at night likely supports a sulphide-rich and low oxygen micro-environment in the lesion, while increased chemotaxis and motility by Campylobacteriales and other heterotrophic bacteria drive lesion progression towards healthy coral tissue. This study provides insights into how diurnal light dynamics drive microbial metabolic pathways changes, thereby promoting BBD virulence.
Additional Links: PMID-41644119
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@article {pmid41644119,
year = {2026},
author = {Hung, JY and Cooke, I and Sato, Y and Miller, DJ and Bourne, DG},
title = {Microbial Metabolism and Disease Virulence Changes Across Day and Night in Coral Black Band Disease Lesions.},
journal = {Environmental microbiology},
volume = {28},
number = {2},
pages = {e70219},
doi = {10.1111/1462-2920.70219},
pmid = {41644119},
issn = {1462-2920},
support = {//Earthwatch Institute/ ; //James Cook University/ ; //Mitsubishi Corporation/ ; //JCU CTBMB grant/ ; //JCU OIRS Morris Family Trust grant/ ; },
mesh = {*Anthozoa/microbiology ; Animals ; Virulence ; *Bacteria/metabolism/genetics/pathogenicity ; *Cyanobacteria/metabolism/genetics ; Photosynthesis ; Metagenome ; Microbiota ; Light ; },
abstract = {Coral black band disease (BBD) is characterised as a cyanobacteria-dominated microbial mat that rapidly kills underlying coral tissue. Solar radiation promotes lesion progression by fuelling the cyanobacterial photosynthesis, while sulphate-reducing bacteria and sulphide-oxidising bacteria are implicated in sulphide dynamics within the mat. How the metabolism of the key microbial communities in the mat varies under light and dark conditions and impacts lesion virulence is poorly characterised, however. To compare microbial gene expression under different light regimes, we recovered 28 near-complete BBD-derived metagenome-assembled genomes (MAGs) using Oxford Nanopore Technologies long-read sequencing and profiled Illumina metatranscriptomic reads from BBD lesions collected at day and night by mapping to these MAGs. Genes from the cyanobacterium Roseofilum reptotaenium dominated the differentially expressed genes, with photosynthesis highly represented during the daytime. Relative expression of sulphur and nitrogen metabolism, cofactor biosynthesis, chemotaxis and motility increased among the non-cyanobacterial members at night. Enhanced sulphur reduction by Campylobacteriales and Desulfovibrionaceae at night likely supports a sulphide-rich and low oxygen micro-environment in the lesion, while increased chemotaxis and motility by Campylobacteriales and other heterotrophic bacteria drive lesion progression towards healthy coral tissue. This study provides insights into how diurnal light dynamics drive microbial metabolic pathways changes, thereby promoting BBD virulence.},
}
MeSH Terms:
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*Anthozoa/microbiology
Animals
Virulence
*Bacteria/metabolism/genetics/pathogenicity
*Cyanobacteria/metabolism/genetics
Photosynthesis
Metagenome
Microbiota
Light
RevDate: 2026-02-05
CmpDate: 2026-02-05
Rhapontin activating nuclear factor erythroid 2-related factor 2 to ameliorate Parkinson's disease-associated gastrointestinal dysfunction.
World journal of gastroenterology, 32(4):114468.
This commentary provides a critical evaluation of the study by Wang et al, which focuses on rhapontin activating colonic nuclear factor erythroid 2-related factor 2 (NRF2) to explore its therapeutic potential for Parkinson's disease (PD)-associated gastrointestinal dysfunction. The commentary acknowledges the academic value of the study: It has not only validated intestinal NRF2 as a therapeutic target for PD but also provided experimental support for the "enteric pathology hypothesis". However, several key gaps remain unresolved in the study. At the gut microbiota level, the exploration of the causal relationship of the microbiota is insufficient, with no validation conducted via methods such as fecal microbiota transplantation; additionally, it fails to systematically integrate the gut-brain axis with PD and does not assess the impact of rhapontin on the composition or function of the gut microbiota. At the pathway mechanism level, it lacks an analysis of the crosstalk between NRF2 and other rhapontin-targeted pathways, including nuclear factor kappa-B, mitogen-activated protein kinase, adenosine monophosphate-activated protein kinase, and sirtuin 1. At the experimental method level, the behavioral testing methods for PD mouse models and the limitations of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse models need attention. Additionally, certain flaws exist in some experimental result figures. Furthermore, this commentary puts forward improvement suggestions for the study. Future research should prioritize multi-omics analysis, encompassing combined metabolomics and metagenomics detection, while conducting mechanistic validation of NRF2-interacting molecules (KEAP1 and p62). In addition, it is necessary to improve refined behavioral tests, focusing on incorporating cognitive function and anxiety-related assessment items.
Additional Links: PMID-41640872
PubMed:
Citation:
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@article {pmid41640872,
year = {2026},
author = {Chen, YX and Sun, NQ and Mo, SJ},
title = {Rhapontin activating nuclear factor erythroid 2-related factor 2 to ameliorate Parkinson's disease-associated gastrointestinal dysfunction.},
journal = {World journal of gastroenterology},
volume = {32},
number = {4},
pages = {114468},
pmid = {41640872},
issn = {2219-2840},
mesh = {*NF-E2-Related Factor 2/metabolism ; Gastrointestinal Microbiome/drug effects ; Animals ; Humans ; *Parkinson Disease/complications ; *Gastrointestinal Diseases/etiology/therapy/microbiology ; Mice ; Disease Models, Animal ; Kelch-Like ECH-Associated Protein 1/metabolism ; Signal Transduction/drug effects ; Fecal Microbiota Transplantation ; Brain-Gut Axis/drug effects ; 1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine ; },
abstract = {This commentary provides a critical evaluation of the study by Wang et al, which focuses on rhapontin activating colonic nuclear factor erythroid 2-related factor 2 (NRF2) to explore its therapeutic potential for Parkinson's disease (PD)-associated gastrointestinal dysfunction. The commentary acknowledges the academic value of the study: It has not only validated intestinal NRF2 as a therapeutic target for PD but also provided experimental support for the "enteric pathology hypothesis". However, several key gaps remain unresolved in the study. At the gut microbiota level, the exploration of the causal relationship of the microbiota is insufficient, with no validation conducted via methods such as fecal microbiota transplantation; additionally, it fails to systematically integrate the gut-brain axis with PD and does not assess the impact of rhapontin on the composition or function of the gut microbiota. At the pathway mechanism level, it lacks an analysis of the crosstalk between NRF2 and other rhapontin-targeted pathways, including nuclear factor kappa-B, mitogen-activated protein kinase, adenosine monophosphate-activated protein kinase, and sirtuin 1. At the experimental method level, the behavioral testing methods for PD mouse models and the limitations of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse models need attention. Additionally, certain flaws exist in some experimental result figures. Furthermore, this commentary puts forward improvement suggestions for the study. Future research should prioritize multi-omics analysis, encompassing combined metabolomics and metagenomics detection, while conducting mechanistic validation of NRF2-interacting molecules (KEAP1 and p62). In addition, it is necessary to improve refined behavioral tests, focusing on incorporating cognitive function and anxiety-related assessment items.},
}
MeSH Terms:
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hide MeSH Terms
*NF-E2-Related Factor 2/metabolism
Gastrointestinal Microbiome/drug effects
Animals
Humans
*Parkinson Disease/complications
*Gastrointestinal Diseases/etiology/therapy/microbiology
Mice
Disease Models, Animal
Kelch-Like ECH-Associated Protein 1/metabolism
Signal Transduction/drug effects
Fecal Microbiota Transplantation
Brain-Gut Axis/drug effects
1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine
RevDate: 2026-02-05
CmpDate: 2026-02-05
Harnessing Population Genomics, Gut Microbiota, and Environmental DNA Surveillance for the Conservation of Chinese Spotted Seals in a Changing World.
Ecology and evolution, 16(2):e72952.
The triple planetary crisis-encompassing climate change, biodiversity loss, and pollution-poses escalating threats to Earth's systems, particularly impacting marine mammals. The spotted seal (Phoca largha Pallas 1811), currently recognized as the only pinniped species known to breed in China, holds the status of a National Grade I protected species in China. To elucidate the genetic diversity of Chinese spotted seal populations and provide scientific foundations for their conservation and management, this review systematically summarized the fundamental biological characteristics and documented migration routes of spotted seal populations in China, with particular emphasis on reviewing molecular-level research advancements regarding population genetic structure. Early studies primarily employed molecular markers such as microsatellite DNA and mitochondrial DNA (mtDNA), revealing relatively low genetic diversity levels within Chinese spotted seal populations. In recent years, rapid developments in omics technologies have enabled comprehensive investigations into both genomic compositions, as well as gut microbial community diversity and functional profiles of this species. Furthermore, this review critically examined current research limitations and challenges while proposing the potential advantages and developmental trends of environmental DNA (eDNA) technology in future population studies. These technological and strategic advancements are anticipated to significantly enhance survey efficiency and conservation effectiveness for Chinese spotted seal populations.
Additional Links: PMID-41640388
PubMed:
Citation:
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@article {pmid41640388,
year = {2026},
author = {Li, S and Li, W and Zhang, X and Zhou, H and Zhan, J},
title = {Harnessing Population Genomics, Gut Microbiota, and Environmental DNA Surveillance for the Conservation of Chinese Spotted Seals in a Changing World.},
journal = {Ecology and evolution},
volume = {16},
number = {2},
pages = {e72952},
pmid = {41640388},
issn = {2045-7758},
abstract = {The triple planetary crisis-encompassing climate change, biodiversity loss, and pollution-poses escalating threats to Earth's systems, particularly impacting marine mammals. The spotted seal (Phoca largha Pallas 1811), currently recognized as the only pinniped species known to breed in China, holds the status of a National Grade I protected species in China. To elucidate the genetic diversity of Chinese spotted seal populations and provide scientific foundations for their conservation and management, this review systematically summarized the fundamental biological characteristics and documented migration routes of spotted seal populations in China, with particular emphasis on reviewing molecular-level research advancements regarding population genetic structure. Early studies primarily employed molecular markers such as microsatellite DNA and mitochondrial DNA (mtDNA), revealing relatively low genetic diversity levels within Chinese spotted seal populations. In recent years, rapid developments in omics technologies have enabled comprehensive investigations into both genomic compositions, as well as gut microbial community diversity and functional profiles of this species. Furthermore, this review critically examined current research limitations and challenges while proposing the potential advantages and developmental trends of environmental DNA (eDNA) technology in future population studies. These technological and strategic advancements are anticipated to significantly enhance survey efficiency and conservation effectiveness for Chinese spotted seal populations.},
}
RevDate: 2026-02-04
CmpDate: 2026-02-04
Evolutionary features of new picorna-like viruses in Culex (Melanoconion) mosquitoes.
Current research in parasitology & vector-borne diseases, 8:100333.
In this study, we investigated unclassified picorna-like viruses in Culex (Melanoconion) mosquitoes from São Paulo, Brazil, an area of high mosquito biodiversity and arbovirus activity. Two mosquito pools were processed using next-generation sequencing (NGS), and datasets were analyzed via de novo assembly to reconstruct viral genomes and assess evolutionary relationships. We identified two highly similar viral genomes, named Culex (Melanoconion) picorna-like virus, CmV_B38 and CmV_B39, exhibiting 99.93% nucleotide identity, both of which encode a three-domain replication block characteristic of viruses within the order Picornavirales. Phylogenetic reconstruction based on the RNA-dependent RNA polymerase (RdRp) gene revealed that these viruses form a distinct, previously undescribed clade, most closely related to Yongsan picorna-like virus 4 and several other unclassified viruses that have been reported predominantly in Asian regions. These findings may indicate possible geographical connectivity or convergence in viral evolution across distinct ecosystems. Notably, the results highlight the underexplored diversity of insect-specific viruses, particularly those associated with mosquito vectors. Furthermore, the data are consistent with the hypothesis that ecological factors and host specificity could influence the evolutionary dynamics of these viral lineages. The study not only enhances our understanding of the mosquito-associated virome but also emphasizes the critical need for ongoing viral surveillance, especially in biodiverse regions. Such efforts are essential for elucidating the evolutionary dynamics of RNA viruses and for anticipating the emergence of novel viral pathogens that may pose future risks to public health or agriculture.
Additional Links: PMID-41635749
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@article {pmid41635749,
year = {2025},
author = {de Oliveira Guimarães, L and de Almeida, AR and Ramos, EDSF and Telles-de-Deus, J and Helfstein, VC and Morais, VDS and Dos Santos, JM and Pandey, RP and de Camargo-Neves, VLF and da Costa, AC and Kirchgatter, K and Leal, É},
title = {Evolutionary features of new picorna-like viruses in Culex (Melanoconion) mosquitoes.},
journal = {Current research in parasitology & vector-borne diseases},
volume = {8},
number = {},
pages = {100333},
pmid = {41635749},
issn = {2667-114X},
abstract = {In this study, we investigated unclassified picorna-like viruses in Culex (Melanoconion) mosquitoes from São Paulo, Brazil, an area of high mosquito biodiversity and arbovirus activity. Two mosquito pools were processed using next-generation sequencing (NGS), and datasets were analyzed via de novo assembly to reconstruct viral genomes and assess evolutionary relationships. We identified two highly similar viral genomes, named Culex (Melanoconion) picorna-like virus, CmV_B38 and CmV_B39, exhibiting 99.93% nucleotide identity, both of which encode a three-domain replication block characteristic of viruses within the order Picornavirales. Phylogenetic reconstruction based on the RNA-dependent RNA polymerase (RdRp) gene revealed that these viruses form a distinct, previously undescribed clade, most closely related to Yongsan picorna-like virus 4 and several other unclassified viruses that have been reported predominantly in Asian regions. These findings may indicate possible geographical connectivity or convergence in viral evolution across distinct ecosystems. Notably, the results highlight the underexplored diversity of insect-specific viruses, particularly those associated with mosquito vectors. Furthermore, the data are consistent with the hypothesis that ecological factors and host specificity could influence the evolutionary dynamics of these viral lineages. The study not only enhances our understanding of the mosquito-associated virome but also emphasizes the critical need for ongoing viral surveillance, especially in biodiverse regions. Such efforts are essential for elucidating the evolutionary dynamics of RNA viruses and for anticipating the emergence of novel viral pathogens that may pose future risks to public health or agriculture.},
}
RevDate: 2026-02-03
Antibiotic resistance gradient along a large Scandinavian river influenced by wastewater treatment plants.
FEMS microbiology ecology pii:8456379 [Epub ahead of print].
Recent studies have identified the environment as a key reservoir from which antibiotic resistance genes (ARGs) can be acquired and transmitted to pathogens. However, our knowledge about the presence of ARGs in high-flow river sediments is still limited. We analyzed the resistome of sediment bacterial communities along the Swedish river Göta Älv and investigated the potential dissemination of ARGs and antimicrobials from effluents of wastewater treatment plants (WWTPs). While we detected nine different antimicrobials in the effluent water from the WWTPs through HPLC-MS, their presence was not observed in river surface water. Analysis by qPCR revealed that the genes sul1 and ermB were the most dominant ARGs among sediment, sludge, and effluent samples. Shotgun metagenomics revealed unique differences between the sludge resistomes of the WWTPs. Moreover, our findings show that ARGs increase downstream of the Göta Älv and their diversity differs from the upstream sites. Efflux pump resistance-related genes were most abundant in sediment samples, and beta-lactams and tetracyclines were the most common antibiotic classes targeted by ARGs. Our study emphasizes the importance of urban river sediments as a reservoir of ARGs, as tracking ARGs in WWTPs and their receiving environments improves our understanding of their spread and characteristics.
Additional Links: PMID-41632094
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PubMed:
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@article {pmid41632094,
year = {2026},
author = {Gómez-MartÃnez, D and Ngou, JS and Ugolini, V and Lai, FY and Nilsson, RH and Kristiansson, E and Corcoll, N},
title = {Antibiotic resistance gradient along a large Scandinavian river influenced by wastewater treatment plants.},
journal = {FEMS microbiology ecology},
volume = {},
number = {},
pages = {},
doi = {10.1093/femsec/fiag007},
pmid = {41632094},
issn = {1574-6941},
abstract = {Recent studies have identified the environment as a key reservoir from which antibiotic resistance genes (ARGs) can be acquired and transmitted to pathogens. However, our knowledge about the presence of ARGs in high-flow river sediments is still limited. We analyzed the resistome of sediment bacterial communities along the Swedish river Göta Älv and investigated the potential dissemination of ARGs and antimicrobials from effluents of wastewater treatment plants (WWTPs). While we detected nine different antimicrobials in the effluent water from the WWTPs through HPLC-MS, their presence was not observed in river surface water. Analysis by qPCR revealed that the genes sul1 and ermB were the most dominant ARGs among sediment, sludge, and effluent samples. Shotgun metagenomics revealed unique differences between the sludge resistomes of the WWTPs. Moreover, our findings show that ARGs increase downstream of the Göta Älv and their diversity differs from the upstream sites. Efflux pump resistance-related genes were most abundant in sediment samples, and beta-lactams and tetracyclines were the most common antibiotic classes targeted by ARGs. Our study emphasizes the importance of urban river sediments as a reservoir of ARGs, as tracking ARGs in WWTPs and their receiving environments improves our understanding of their spread and characteristics.},
}
RevDate: 2026-02-05
CmpDate: 2026-02-05
Multi-omics reveals nitrogen dynamics associated with soil microbial blooms during snowmelt.
Nature microbiology, 11(2):359-374.
Snowmelt triggers a soil microbial bloom and crash that affects nitrogen (N) export in high-elevation watersheds. The mechanisms underlying these microbial dynamics are uncertain, making soil nitrogen processes difficult to predict as snowpack declines globally. Here, integration of genome-resolved metagenomics, metatranscriptomics and metabolomics in a high-elevation watershed revealed ecologically distinct soil microorganisms linked across the snowmelt time-period by their unique nitrogen cycling capacities. The molecular properties and transformations of dissolved organic N suggested that degradation or recycling of microbial biomass provided N for biosynthesis during the microbial bloom. Winter-adapted Bradyrhizobia spp. oxidized amino acids anaerobically and had the highest gene expression for denitrification during the microbial bloom. A pulse of nitrate was driven by spring-adapted Nitrososphaerales after snowmelt, but dissimilatory nitrate reduction to ammonia (DNRA) gene expression indicated significant nitrate retention potential. These findings inform our understanding of nitrogen cycling in environments sensitive to snowpack decline due to global change.
Additional Links: PMID-41593363
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Citation:
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@article {pmid41593363,
year = {2026},
author = {Sorensen, PO and Karaoz, U and Beller, HR and Bill, M and Bouskill, NJ and Banfied, JF and Chu, RK and Hoyt, DW and Eder, E and Eloe-Fadrosh, E and Sharrar, A and Tfaily, MM and Toyoda, J and Tolic, N and Wang, S and Wong, AR and Williams, KH and Zhong, Y and Brodie, EL},
title = {Multi-omics reveals nitrogen dynamics associated with soil microbial blooms during snowmelt.},
journal = {Nature microbiology},
volume = {11},
number = {2},
pages = {359-374},
pmid = {41593363},
issn = {2058-5276},
support = {DE-AC02-05CH11231//U.S. Department of Energy (DOE)/ ; DE-AC05-76RL01830//U.S. Department of Energy (DOE)/ ; DBI-1315705//National Science Foundation (NSF)/ ; },
mesh = {*Bacteria/metabolism ; Biomass ; Bradyrhizobium/metabolism ; Climate Change ; Metagenome ; Microbiota ; Nitrogen/metabolism ; *Nitrogen Compounds/metabolism ; *Nitrogen Cycle ; *Seasons ; *Snow ; *Soil Microbiology ; Ecosystem ; Multiomics ; },
abstract = {Snowmelt triggers a soil microbial bloom and crash that affects nitrogen (N) export in high-elevation watersheds. The mechanisms underlying these microbial dynamics are uncertain, making soil nitrogen processes difficult to predict as snowpack declines globally. Here, integration of genome-resolved metagenomics, metatranscriptomics and metabolomics in a high-elevation watershed revealed ecologically distinct soil microorganisms linked across the snowmelt time-period by their unique nitrogen cycling capacities. The molecular properties and transformations of dissolved organic N suggested that degradation or recycling of microbial biomass provided N for biosynthesis during the microbial bloom. Winter-adapted Bradyrhizobia spp. oxidized amino acids anaerobically and had the highest gene expression for denitrification during the microbial bloom. A pulse of nitrate was driven by spring-adapted Nitrososphaerales after snowmelt, but dissimilatory nitrate reduction to ammonia (DNRA) gene expression indicated significant nitrate retention potential. These findings inform our understanding of nitrogen cycling in environments sensitive to snowpack decline due to global change.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Bacteria/metabolism
Biomass
Bradyrhizobium/metabolism
Climate Change
Metagenome
Microbiota
Nitrogen/metabolism
*Nitrogen Compounds/metabolism
*Nitrogen Cycle
*Seasons
*Snow
*Soil Microbiology
Ecosystem
Multiomics
RevDate: 2026-02-05
CmpDate: 2026-02-05
Shaping soil fungal communities: How swine waste treatment systems and geography drive fungal community shifts.
The Science of the total environment, 1015:181376.
The use of swine waste as an organic fertilizer is an important practice in sustainable agriculture. This study aims to evaluate the effects of two common swine waste treatment systems, Covered Lagoon Biodigesters (CLB) and Waste Stabilization Ponds (WSP), on fungal community structure in soil. Soil and waste samples were collected from swine farms across five Brazilian states, representing different geographical regions with distinct climate, soil types, and vegetation. A metagenomic approach was employed to analyze the fungal communities present in the samples. Our results revealed that fertilization with swine waste did not significantly affect the overall diversity of fungal communities, although distinct shifts in community composition were observed between fertilized and non-fertilized soils. Notably, reads assigned to Sugiyamaella lignohabitans were detected only in samples from waste stabilization ponds, suggesting that this environment may favor fungal taxa associated with lignocellulose degradation. Furthermore, the fungal genera Fusarium and Rhizophagus exhibited contrasting responses to fertilization, with Fusarium being more abundant in fertilized soils and Rhizophagus decreasing in abundance. Geographic variation in fungal community composition was also observed, correlating with the physicochemical properties of the soil. These findings indicate that, in our dataset, the waste treatment systems had little influence on the fungal diversity of waste samples, whereas soil fertilization with swine waste was associated with marked shifts in fungal community composition, particularly in terms of taxonomic structure.
Additional Links: PMID-41581292
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@article {pmid41581292,
year = {2026},
author = {Diehl, C and Breyer, GM and Torres, MC and Wuaden, CR and Rebelatto, R and Pastore, J and da Silveira Nicoloso, R and Dorn, M and Kich, JD and Siqueira, FM},
title = {Shaping soil fungal communities: How swine waste treatment systems and geography drive fungal community shifts.},
journal = {The Science of the total environment},
volume = {1015},
number = {},
pages = {181376},
doi = {10.1016/j.scitotenv.2026.181376},
pmid = {41581292},
issn = {1879-1026},
mesh = {Animals ; *Soil Microbiology ; Swine ; *Fungi/classification ; Brazil ; Fertilizers ; *Mycobiome ; Soil/chemistry ; Manure ; },
abstract = {The use of swine waste as an organic fertilizer is an important practice in sustainable agriculture. This study aims to evaluate the effects of two common swine waste treatment systems, Covered Lagoon Biodigesters (CLB) and Waste Stabilization Ponds (WSP), on fungal community structure in soil. Soil and waste samples were collected from swine farms across five Brazilian states, representing different geographical regions with distinct climate, soil types, and vegetation. A metagenomic approach was employed to analyze the fungal communities present in the samples. Our results revealed that fertilization with swine waste did not significantly affect the overall diversity of fungal communities, although distinct shifts in community composition were observed between fertilized and non-fertilized soils. Notably, reads assigned to Sugiyamaella lignohabitans were detected only in samples from waste stabilization ponds, suggesting that this environment may favor fungal taxa associated with lignocellulose degradation. Furthermore, the fungal genera Fusarium and Rhizophagus exhibited contrasting responses to fertilization, with Fusarium being more abundant in fertilized soils and Rhizophagus decreasing in abundance. Geographic variation in fungal community composition was also observed, correlating with the physicochemical properties of the soil. These findings indicate that, in our dataset, the waste treatment systems had little influence on the fungal diversity of waste samples, whereas soil fertilization with swine waste was associated with marked shifts in fungal community composition, particularly in terms of taxonomic structure.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Soil Microbiology
Swine
*Fungi/classification
Brazil
Fertilizers
*Mycobiome
Soil/chemistry
Manure
RevDate: 2026-02-05
CmpDate: 2026-02-05
Tailoring microbial communities for medium chain fatty acid production from waste activated sludge: Comparative performance of endogenous vs. exogenous consortia.
Bioresource technology, 444:134038.
Optimizing medium chain fatty acid (MCFA) production from waste activated sludge (WAS) requires tailoring microbial communities, yet it remains unclear whether combining substrate sterilization with exogenous caproate-synthesizing bacteria (CSB) can enhance chain elongation. Here, we compared the MCFA production achieved using this strategy with that driven by the endogenous microbiomes in both the solid residue and the supernatant. Among all experimental groups, this strategy achieved the highest MCFA production in the supernatants (3935 ± 21 mg COD/L). This strategy increased CSB abundance in both the solid residue and the supernatant relative to the abundance in the endogenous microbiome systems. Notably, in supernatant systems, this strategy not only enriched acidogens but also led to the highest soluble protein utilization rate, maximal CO2 release/uptake, and an increased gene abundance related to pyruvate generation. Life cycle assessment confirmed economic and environmental benefits. This work provides new insights into optimizing MCFA recovery from WAS.
Additional Links: PMID-41548675
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@article {pmid41548675,
year = {2026},
author = {Li, D and Wang, Y and Qiang, H and Liu, Z and He, Z and Liu, W and Yue, X and Zhou, A},
title = {Tailoring microbial communities for medium chain fatty acid production from waste activated sludge: Comparative performance of endogenous vs. exogenous consortia.},
journal = {Bioresource technology},
volume = {444},
number = {},
pages = {134038},
doi = {10.1016/j.biortech.2026.134038},
pmid = {41548675},
issn = {1873-2976},
mesh = {*Sewage/microbiology ; *Fatty Acids/biosynthesis ; *Microbial Consortia/physiology ; *Microbiota ; Bioreactors/microbiology ; Bacteria/metabolism ; },
abstract = {Optimizing medium chain fatty acid (MCFA) production from waste activated sludge (WAS) requires tailoring microbial communities, yet it remains unclear whether combining substrate sterilization with exogenous caproate-synthesizing bacteria (CSB) can enhance chain elongation. Here, we compared the MCFA production achieved using this strategy with that driven by the endogenous microbiomes in both the solid residue and the supernatant. Among all experimental groups, this strategy achieved the highest MCFA production in the supernatants (3935 ± 21 mg COD/L). This strategy increased CSB abundance in both the solid residue and the supernatant relative to the abundance in the endogenous microbiome systems. Notably, in supernatant systems, this strategy not only enriched acidogens but also led to the highest soluble protein utilization rate, maximal CO2 release/uptake, and an increased gene abundance related to pyruvate generation. Life cycle assessment confirmed economic and environmental benefits. This work provides new insights into optimizing MCFA recovery from WAS.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Sewage/microbiology
*Fatty Acids/biosynthesis
*Microbial Consortia/physiology
*Microbiota
Bioreactors/microbiology
Bacteria/metabolism
RevDate: 2026-02-05
CmpDate: 2026-02-05
Gut microbiome convergence and functional adaptation underlie the evolution of predation in stink bugs (Heteroptera: Pentatomidae).
Microbiome, 14(1):56.
BACKGROUND: True bugs (Heteroptera) have undergone repeated evolutionary shifts between phytophagous and carnivorous feeding strategies. Although gut microbiomes are recognized for aiding dietary adaptation, their function in mediating these transitions is still unclear, specifically, how microbial communities change during dietary evolution and influence the diversification of feeding traits.
RESULTS: Here, we selected a stink bug lineage of the subfamily Asopinae (Pentatomidae), representative of an independent feeding trait transition from phytophagy to carnivory. Their gut microbiomes were analyzed and compared to those of closely related phytophagous species within the Pentatomidae family, as well as predatory assassin bugs from the Reduviidae family, which represent the ancestral heteropteran feeding trait of predation. It was found that Asopinae lack the gammaproteobacterial symbionts and midgut crypts that are conserved in their phytophagous counterparts. Instead, their gut microbiomes converged on a community dominated by Enterococcus (Firmicutes) and select Proteobacteria (Serratia, Yokenella, Proteus), mirroring the microbiome of assassin bugs. This core community persisted despite prey variation, likely maintained through pentatomid ancestral eggshell-piercing behavior, enabling vertical transmission. Metagenomic analysis linked the Asopinae microbiome to functions potentially associated with predation adaptation, including the digestion of chitinous substrates likely sourced from prey's internal body. Through bacterial isolation, genomics, and functional assays, we demonstrated that Serratia mediates chitin degradation, which along with a potential coordination in diet digestion, may also have been involved in an antifungal effect. Meanwhile, an Enterococcus strain exhibits inhibition to multiple pathogens such that may provide protections to the host, potentially via a class III lanthipeptide.
CONCLUSIONS: Our findings reveal a coordinated restructuring of the gut microbiome during dietary shifts. The convergence of Asopinae and Reduviidae microbiomes underscores how microbial communities may have facilitated the ecological adaptation, likely by enabling hosts to exploit new dietary niches and providing defense against bacterial and fungal pathogens. Video Abstract.
Additional Links: PMID-41501865
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Citation:
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@article {pmid41501865,
year = {2026},
author = {Sun, J and Meng, Y and Chen, Z and Zhao, T and Yang, C and Chen, S and Wang, J and Tian, L and Song, F and Duan, Y and Cai, W and Zhang, X and Li, H},
title = {Gut microbiome convergence and functional adaptation underlie the evolution of predation in stink bugs (Heteroptera: Pentatomidae).},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {56},
pmid = {41501865},
issn = {2049-2618},
support = {31730086//National Natural Science Foundation of China/ ; 110202101046[LS-06]//Pests and Diseases Green Prevention and Control Major Special Project/ ; xinkywdzc-2025001-91//Project of Fund for Stable Support to Agricultural Sci-Tech Renovation/ ; },
mesh = {Animals ; *Heteroptera/microbiology/physiology ; *Gastrointestinal Microbiome ; *Predatory Behavior ; Biological Evolution ; Bacteria/classification/genetics/isolation & purification ; Phylogeny ; Symbiosis ; Adaptation, Physiological ; Feeding Behavior ; RNA, Ribosomal, 16S/genetics ; },
abstract = {BACKGROUND: True bugs (Heteroptera) have undergone repeated evolutionary shifts between phytophagous and carnivorous feeding strategies. Although gut microbiomes are recognized for aiding dietary adaptation, their function in mediating these transitions is still unclear, specifically, how microbial communities change during dietary evolution and influence the diversification of feeding traits.
RESULTS: Here, we selected a stink bug lineage of the subfamily Asopinae (Pentatomidae), representative of an independent feeding trait transition from phytophagy to carnivory. Their gut microbiomes were analyzed and compared to those of closely related phytophagous species within the Pentatomidae family, as well as predatory assassin bugs from the Reduviidae family, which represent the ancestral heteropteran feeding trait of predation. It was found that Asopinae lack the gammaproteobacterial symbionts and midgut crypts that are conserved in their phytophagous counterparts. Instead, their gut microbiomes converged on a community dominated by Enterococcus (Firmicutes) and select Proteobacteria (Serratia, Yokenella, Proteus), mirroring the microbiome of assassin bugs. This core community persisted despite prey variation, likely maintained through pentatomid ancestral eggshell-piercing behavior, enabling vertical transmission. Metagenomic analysis linked the Asopinae microbiome to functions potentially associated with predation adaptation, including the digestion of chitinous substrates likely sourced from prey's internal body. Through bacterial isolation, genomics, and functional assays, we demonstrated that Serratia mediates chitin degradation, which along with a potential coordination in diet digestion, may also have been involved in an antifungal effect. Meanwhile, an Enterococcus strain exhibits inhibition to multiple pathogens such that may provide protections to the host, potentially via a class III lanthipeptide.
CONCLUSIONS: Our findings reveal a coordinated restructuring of the gut microbiome during dietary shifts. The convergence of Asopinae and Reduviidae microbiomes underscores how microbial communities may have facilitated the ecological adaptation, likely by enabling hosts to exploit new dietary niches and providing defense against bacterial and fungal pathogens. Video Abstract.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Heteroptera/microbiology/physiology
*Gastrointestinal Microbiome
*Predatory Behavior
Biological Evolution
Bacteria/classification/genetics/isolation & purification
Phylogeny
Symbiosis
Adaptation, Physiological
Feeding Behavior
RNA, Ribosomal, 16S/genetics
RevDate: 2026-02-05
CmpDate: 2026-02-05
Unveiling nitrogen and sulfur cycling mechanisms of odor reduction in kitchen waste composting driven by exogenous bacterial consortia.
Bioresource technology, 444:133923.
Odor emissions, primarily ammonia (NH3) and hydrogen sulfide (H2S) restrict the application of kitchen waste (KW) composting. Microbial inoculation is a promising strategy, yet mechanisms underlying odor mitigation remain unclear. KW composting with and without an immobilized bacterial consortium (IBC) was compared by monitoring physicochemical conditions, odor emissions, and microbial and functional profiles. IBC extended the thermophilic phase, improved composting efficiency, and reduced cumulative H2S (-44 %) and NH3 (-18 %). IBC reshaped bacterial, fungal and archaeal communities and strengthened microbial network connectivity. Metagenomic analysis showed IBC enriched nitrogen-fixation genes and suppressed ammonification, nitrification, denitrification, and nitrate reduction. IBC also enhanced thiosulfate and sulfite oxidation while inhibited reductive pathways linked to H2S formation. Partial least squares path model confirmed odor mitigation resulting from coordinated shifts in environmental conditions, microbial structure, and metabolic pathways. Overall, microbial inoculation effectively reduces odor emissions and enhances composting performance by redirecting nitrogen and sulfur transformations.
Additional Links: PMID-41490675
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PubMed:
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@article {pmid41490675,
year = {2026},
author = {Li, Y and Cao, L and Li, W and Yan, Y and Zuo, W and Xi, B and Huang, C},
title = {Unveiling nitrogen and sulfur cycling mechanisms of odor reduction in kitchen waste composting driven by exogenous bacterial consortia.},
journal = {Bioresource technology},
volume = {444},
number = {},
pages = {133923},
doi = {10.1016/j.biortech.2026.133923},
pmid = {41490675},
issn = {1873-2976},
mesh = {*Odorants/prevention & control/analysis ; *Composting/methods ; *Nitrogen/metabolism ; *Sulfur/metabolism ; *Microbial Consortia ; *Bacteria/metabolism ; Hydrogen Sulfide ; Ammonia ; },
abstract = {Odor emissions, primarily ammonia (NH3) and hydrogen sulfide (H2S) restrict the application of kitchen waste (KW) composting. Microbial inoculation is a promising strategy, yet mechanisms underlying odor mitigation remain unclear. KW composting with and without an immobilized bacterial consortium (IBC) was compared by monitoring physicochemical conditions, odor emissions, and microbial and functional profiles. IBC extended the thermophilic phase, improved composting efficiency, and reduced cumulative H2S (-44 %) and NH3 (-18 %). IBC reshaped bacterial, fungal and archaeal communities and strengthened microbial network connectivity. Metagenomic analysis showed IBC enriched nitrogen-fixation genes and suppressed ammonification, nitrification, denitrification, and nitrate reduction. IBC also enhanced thiosulfate and sulfite oxidation while inhibited reductive pathways linked to H2S formation. Partial least squares path model confirmed odor mitigation resulting from coordinated shifts in environmental conditions, microbial structure, and metabolic pathways. Overall, microbial inoculation effectively reduces odor emissions and enhances composting performance by redirecting nitrogen and sulfur transformations.},
}
MeSH Terms:
show MeSH Terms
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*Odorants/prevention & control/analysis
*Composting/methods
*Nitrogen/metabolism
*Sulfur/metabolism
*Microbial Consortia
*Bacteria/metabolism
Hydrogen Sulfide
Ammonia
RevDate: 2026-02-02
CmpDate: 2026-02-02
Microbiome Profiling in Chagas Disease: Sample Collection, Sequencing, and Analysis.
Methods in molecular biology (Clifton, N.J.), 3013:265-297.
Chagas disease, caused by Trypanosoma cruzi, leads to chronic cardiac and gastrointestinal complications. Emerging evidence shows the gut microbiome plays a key role in modulating disease severity, with shifts in microbial composition influencing immune responses and metabolic pathways. Here, we describe a workflow for microbiome analysis in T. cruzi-infected mice. Methods included sample collection from feces and gastrointestinal tissues, DNA extraction, sequencing, and quality control. Then, we outline bioinformatic analyses covering taxonomic profiling, diversity assessment, and microbial network construction. Finally, protocols for functional prediction tools are also included to explore microbial capabilities and the identification of signatures associated with disease progression.
Additional Links: PMID-41627741
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Citation:
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@article {pmid41627741,
year = {2026},
author = {Castañeda, S and RamÃrez, JD and Poveda, C},
title = {Microbiome Profiling in Chagas Disease: Sample Collection, Sequencing, and Analysis.},
journal = {Methods in molecular biology (Clifton, N.J.)},
volume = {3013},
number = {},
pages = {265-297},
pmid = {41627741},
issn = {1940-6029},
mesh = {*Chagas Disease/microbiology/parasitology ; Animals ; Mice ; Trypanosoma cruzi ; *Gastrointestinal Microbiome/genetics ; Feces/microbiology ; Computational Biology/methods ; High-Throughput Nucleotide Sequencing/methods ; *Microbiota ; Sequence Analysis, DNA/methods ; Metagenomics/methods ; },
abstract = {Chagas disease, caused by Trypanosoma cruzi, leads to chronic cardiac and gastrointestinal complications. Emerging evidence shows the gut microbiome plays a key role in modulating disease severity, with shifts in microbial composition influencing immune responses and metabolic pathways. Here, we describe a workflow for microbiome analysis in T. cruzi-infected mice. Methods included sample collection from feces and gastrointestinal tissues, DNA extraction, sequencing, and quality control. Then, we outline bioinformatic analyses covering taxonomic profiling, diversity assessment, and microbial network construction. Finally, protocols for functional prediction tools are also included to explore microbial capabilities and the identification of signatures associated with disease progression.},
}
MeSH Terms:
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hide MeSH Terms
*Chagas Disease/microbiology/parasitology
Animals
Mice
Trypanosoma cruzi
*Gastrointestinal Microbiome/genetics
Feces/microbiology
Computational Biology/methods
High-Throughput Nucleotide Sequencing/methods
*Microbiota
Sequence Analysis, DNA/methods
Metagenomics/methods
RevDate: 2026-02-04
CmpDate: 2026-02-04
Effector-host interactome map links type III secretion systems in healthy gut microbiomes to immune modulation.
Nature microbiology, 11(2):442-460.
Pseudomonadota (formerly Proteobacteria) are prevalent in the commensal human gut microbiota, but also include many pathogens that rely on secretion systems to support pathogenicity by injecting proteins into host cells. Here we show that 80% of Pseudomonadota from healthy gut microbiomes also have intact type III secretion systems (T3SS). Candidate effectors predicted by machine learning display sequence and structural features that are distinct from those of pathogen effectors. Towards a systems-level functional understanding, we experimentally constructed a protein-protein meta-interactome map between human proteins and commensal effectors. Network analyses uncovered that effector-targeted neighbourhoods are enriched for genetic variation linked to microbiome-associated conditions, including autoimmune and metabolic diseases. Metagenomic analysis revealed effector enrichment in Crohn's disease but depletion in ulcerative colitis. Functionally, commensal effectors can translocate into human cells and modulate NF-κB signalling and cytokine secretion in vitro. Our findings indicate that T3SS contribute to microorganism-host cohabitation and that effector-host protein interactions may represent an underappreciated route by which commensal gut microbiota influences health.
Additional Links: PMID-41588163
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Citation:
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@article {pmid41588163,
year = {2026},
author = {Young, V and Dohai, B and Halder, H and Fernandez-Macgregor, J and van Heusden, NS and Hitch, TCA and Weller, B and Hyden, P and Saha, D and Pieren, DKJ and Rittchen, S and Lambourne, L and Maseko, SB and Lin, CW and Tun, YM and Bibus, J and Pletschacher, L and Boujeant, M and Choteau, SA and Bergogne, L and Perrin, J and Ober, F and Schwehn, P and Rothballer, ST and Altmann, M and Altmann, S and Strobel, A and Rothballer, M and Tofaute, M and Kotlarz, D and Heinig, M and Clavel, T and Calderwood, MA and Vidal, M and Twizere, JC and Vincentelli, R and Krappmann, D and Boes, M and Falter, C and Rattei, T and Brun, C and Zanzoni, A and Falter-Braun, P},
title = {Effector-host interactome map links type III secretion systems in healthy gut microbiomes to immune modulation.},
journal = {Nature microbiology},
volume = {11},
number = {2},
pages = {442-460},
pmid = {41588163},
issn = {2058-5276},
support = {01EA1803//Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)/ ; 101003633//EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)/ ; 210592381//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 403224013//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 11819559//Österreichische Forschungsförderungsgesellschaft (Austrian Research Promotion Agency)/ ; ANR-16-CONV-0001//Agence Nationale de la Recherche (French National Research Agency)/ ; ANR-17-HDIM-000//Agence Nationale de la Recherche (French National Research Agency)/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome/immunology ; *Type III Secretion Systems/genetics/metabolism/immunology ; Bacterial Proteins/metabolism/genetics ; NF-kappa B/metabolism ; *Host-Pathogen Interactions/immunology ; Metagenomics ; *Host Microbial Interactions/immunology ; Cytokines/metabolism ; Protein Interaction Maps ; },
abstract = {Pseudomonadota (formerly Proteobacteria) are prevalent in the commensal human gut microbiota, but also include many pathogens that rely on secretion systems to support pathogenicity by injecting proteins into host cells. Here we show that 80% of Pseudomonadota from healthy gut microbiomes also have intact type III secretion systems (T3SS). Candidate effectors predicted by machine learning display sequence and structural features that are distinct from those of pathogen effectors. Towards a systems-level functional understanding, we experimentally constructed a protein-protein meta-interactome map between human proteins and commensal effectors. Network analyses uncovered that effector-targeted neighbourhoods are enriched for genetic variation linked to microbiome-associated conditions, including autoimmune and metabolic diseases. Metagenomic analysis revealed effector enrichment in Crohn's disease but depletion in ulcerative colitis. Functionally, commensal effectors can translocate into human cells and modulate NF-κB signalling and cytokine secretion in vitro. Our findings indicate that T3SS contribute to microorganism-host cohabitation and that effector-host protein interactions may represent an underappreciated route by which commensal gut microbiota influences health.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome/immunology
*Type III Secretion Systems/genetics/metabolism/immunology
Bacterial Proteins/metabolism/genetics
NF-kappa B/metabolism
*Host-Pathogen Interactions/immunology
Metagenomics
*Host Microbial Interactions/immunology
Cytokines/metabolism
Protein Interaction Maps
RevDate: 2026-02-04
CmpDate: 2026-02-04
Gut microbial ethanol metabolism contributes to auto-brewery syndrome in an observational cohort.
Nature microbiology, 11(2):415-428.
Auto-brewery syndrome (ABS) is a rarely diagnosed disorder of alcohol intoxication due to gut microbial ethanol production. Despite case reports and a small cohort study, the microbiological profiles of patients remain poorly understood. Here we conducted an observational study of 22 patients with ABS and 21 unaffected household partners. Faecal samples from individuals with ABS during a flare produced more ethanol in vitro, which could be reduced by antibiotic treatment. Gut microbiome analysis using metagenomics revealed an enrichment of Proteobacteria, including Escherichia coli and Klebsiella pneumoniae. Genes in metabolic pathways associated with ethanol production were enriched, including the mixed-acid fermentation pathway, heterolactic fermentation pathway and ethanolamine utilization pathway. Faecal metabolomics revealed increased acetate levels associated with ABS, which correlated with blood alcohol concentrations. Finally, one patient was treated with faecal microbiota transplantation, with positive correlations between gut microbiota composition and function, and symptoms. These findings can inform future clinical interventions for ABS.
Additional Links: PMID-41507585
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Citation:
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@article {pmid41507585,
year = {2026},
author = {Hsu, CL and Shukla, S and Freund, L and Chou, AC and Yang, Y and Bruellman, R and Raya Tonetti, F and Cabré, N and Mayo, S and Lim, HG and Magallan, V and Cordell, BJ and Lang, S and Demir, M and Stärkel, P and Llorente, C and Palsson, BO and Mandyam, C and Boland, BS and Hohmann, E and Schnabl, B},
title = {Gut microbial ethanol metabolism contributes to auto-brewery syndrome in an observational cohort.},
journal = {Nature microbiology},
volume = {11},
number = {2},
pages = {415-428},
pmid = {41507585},
issn = {2058-5276},
support = {BX004594//Biomedical Laboratory Research and Development, VA Office of Research and Development (VA Biomedical Laboratory Research and Development)/ ; CTORA23-208366//American Association for the Study of Liver Diseases (AASLD)/ ; K99 AA031328/AA/NIAAA NIH HHS/United States ; R01 AA029106, R21 AA030654, P30 AR073761//U.S. Department of Health & Human Services | National Institutes of Health (NIH)/ ; DE-AC02-05CH11231//U.S. Department of Energy (DOE)/ ; K99 AA031328/AA/NIAAA NIH HHS/United States ; },
mesh = {Humans ; *Gastrointestinal Microbiome/physiology/genetics ; Feces/microbiology/chemistry ; *Ethanol/metabolism ; Male ; Female ; Middle Aged ; Adult ; Cohort Studies ; Metagenomics ; Fecal Microbiota Transplantation ; Escherichia coli/metabolism/genetics ; Fermentation ; Bacteria/metabolism/genetics/classification/isolation & purification ; Proteobacteria/metabolism/genetics/isolation & purification ; Anti-Bacterial Agents/therapeutic use ; *Alcoholic Intoxication/microbiology ; Klebsiella pneumoniae/metabolism/genetics ; Metabolomics ; Metabolic Networks and Pathways/genetics ; },
abstract = {Auto-brewery syndrome (ABS) is a rarely diagnosed disorder of alcohol intoxication due to gut microbial ethanol production. Despite case reports and a small cohort study, the microbiological profiles of patients remain poorly understood. Here we conducted an observational study of 22 patients with ABS and 21 unaffected household partners. Faecal samples from individuals with ABS during a flare produced more ethanol in vitro, which could be reduced by antibiotic treatment. Gut microbiome analysis using metagenomics revealed an enrichment of Proteobacteria, including Escherichia coli and Klebsiella pneumoniae. Genes in metabolic pathways associated with ethanol production were enriched, including the mixed-acid fermentation pathway, heterolactic fermentation pathway and ethanolamine utilization pathway. Faecal metabolomics revealed increased acetate levels associated with ABS, which correlated with blood alcohol concentrations. Finally, one patient was treated with faecal microbiota transplantation, with positive correlations between gut microbiota composition and function, and symptoms. These findings can inform future clinical interventions for ABS.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome/physiology/genetics
Feces/microbiology/chemistry
*Ethanol/metabolism
Male
Female
Middle Aged
Adult
Cohort Studies
Metagenomics
Fecal Microbiota Transplantation
Escherichia coli/metabolism/genetics
Fermentation
Bacteria/metabolism/genetics/classification/isolation & purification
Proteobacteria/metabolism/genetics/isolation & purification
Anti-Bacterial Agents/therapeutic use
*Alcoholic Intoxication/microbiology
Klebsiella pneumoniae/metabolism/genetics
Metabolomics
Metabolic Networks and Pathways/genetics
RevDate: 2026-02-04
CmpDate: 2026-02-04
Metagenomic and metabolomic analyses of rumen fiber digestion in Mongolian cattle fed fresh grass versus hay.
Microbiology spectrum, 14(2):e0305125.
Mongolian cattle exhibit exceptional roughage tolerance due to their rumen microbiome's robust fiber-degrading capacity, enabling efficient utilization of low-quality forage under the Mongolian Plateau's seasonal fluctuations. This study compared rumen microbial composition, CAZyme profiles, fermentation parameters, and metabolic pathways in cattle fed fresh grass (FG) versus hay to elucidate microbe-metabolite interactions underlying fiber digestion. Thirty non-pregnant female Mongolian cattle (460 ± 35 kg, 3-4 years old) were randomly divided into two groups (n = 15/group): one grazed on FG, the other housed and fed autumn-harvested hay (HG). Six animals per group were subsampled for rumen fluid collection and multi-omics analyses (n = 6/group, total n = 12). Compared with the FG group, the HG group showed an increased molar proportion of acetate and a higher acetate-to-propionate ratio, along with reduced molar proportions of propionate and butyrate in rumen fermentation parameters. Metagenomic analysis revealed a higher abundance of Bacteroidalesbacteria and anaerobic fungi (including Neocallimastix sp.JGI-2020a and Piromyces sp.E2) in the HG group. Functional annotation further indicated enriched carbohydrate metabolism pathways in the HG group, along with a greater diversity of CAZymes, particularly those involved in hemicellulose and pectin degradation. Metabolomics identified 13 differentially abundant carbohydrate metabolites, with gluconolactone upregulated in the HG group. Additionally, carbohydrate metabolism pathways identified in the metabolome corroborated the reliability of the metagenomic functional annotations. Correlation network analysis revealed positive associations of Bacteroidaceaebacteria, Neocallimastix sp.JGI-2020a, and Piromyces sp.E2 with acetate, hemicellulose-degrading GHs, and carbohydrate metabolic pathways. In conclusion, hay feeding enhanced ruminal fiber degradation in Mongolian cattle through increased Bacteroidales and anaerobic fungi, diversified CAZymes (especially hemicellulases/pectinases), and upregulated carbohydrate metabolism, reflecting microbial adaptation to low-quality forage.IMPORTANCEMongolian cattle's superior roughage tolerance depends on a specialized rumen microbiome that degrades fibrous substrates via diverse CAZymes. However, microbe-metabolite interactions driving fiber digestion in this breed remain poorly understood. This study revealed an increased abundance of bacteria and fungi involved in rumen fiber degradation, which may be responsible for secreting enzymes associated with hemicellulose and pectin breakdown. Furthermore, the upregulation of key metabolites, including gluconolactone, indirectly promotes acetate production through pathways such as glycolysis and the pentose phosphate pathway. These findings reveal microbial adaptations enhancing low-quality forage utilization, offering new strategies for improving ruminant efficiency in seasonal or resource-limited grazing systems.
Additional Links: PMID-41504449
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PubMed:
Citation:
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@article {pmid41504449,
year = {2026},
author = {Xu, J and Ma, J and Lin, H and Yan, S and Niu, H},
title = {Metagenomic and metabolomic analyses of rumen fiber digestion in Mongolian cattle fed fresh grass versus hay.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0305125},
doi = {10.1128/spectrum.03051-25},
pmid = {41504449},
issn = {2165-0497},
support = {32460813//National Natural Science Foundation of China/ ; 2022MS03074, 2025MS03005, 2023YFDZ0079, 2023YFDZ0068, 2025YFDZ0123//Department of Science and Technology of Inner Mongolia Autonomous Region/ ; NJYT22054//Education Department of Inner Mongolia Autonomous Region/ ; },
mesh = {Animals ; *Rumen/microbiology/metabolism ; Cattle/microbiology ; *Animal Feed/analysis ; *Poaceae/metabolism ; Fermentation ; Metagenomics ; *Dietary Fiber/metabolism ; Bacteria/classification/genetics/metabolism/isolation & purification ; Gastrointestinal Microbiome ; Female ; Metabolomics ; Mongolia ; Digestion ; Fungi/classification/genetics/metabolism/isolation & purification ; Metagenome ; },
abstract = {Mongolian cattle exhibit exceptional roughage tolerance due to their rumen microbiome's robust fiber-degrading capacity, enabling efficient utilization of low-quality forage under the Mongolian Plateau's seasonal fluctuations. This study compared rumen microbial composition, CAZyme profiles, fermentation parameters, and metabolic pathways in cattle fed fresh grass (FG) versus hay to elucidate microbe-metabolite interactions underlying fiber digestion. Thirty non-pregnant female Mongolian cattle (460 ± 35 kg, 3-4 years old) were randomly divided into two groups (n = 15/group): one grazed on FG, the other housed and fed autumn-harvested hay (HG). Six animals per group were subsampled for rumen fluid collection and multi-omics analyses (n = 6/group, total n = 12). Compared with the FG group, the HG group showed an increased molar proportion of acetate and a higher acetate-to-propionate ratio, along with reduced molar proportions of propionate and butyrate in rumen fermentation parameters. Metagenomic analysis revealed a higher abundance of Bacteroidalesbacteria and anaerobic fungi (including Neocallimastix sp.JGI-2020a and Piromyces sp.E2) in the HG group. Functional annotation further indicated enriched carbohydrate metabolism pathways in the HG group, along with a greater diversity of CAZymes, particularly those involved in hemicellulose and pectin degradation. Metabolomics identified 13 differentially abundant carbohydrate metabolites, with gluconolactone upregulated in the HG group. Additionally, carbohydrate metabolism pathways identified in the metabolome corroborated the reliability of the metagenomic functional annotations. Correlation network analysis revealed positive associations of Bacteroidaceaebacteria, Neocallimastix sp.JGI-2020a, and Piromyces sp.E2 with acetate, hemicellulose-degrading GHs, and carbohydrate metabolic pathways. In conclusion, hay feeding enhanced ruminal fiber degradation in Mongolian cattle through increased Bacteroidales and anaerobic fungi, diversified CAZymes (especially hemicellulases/pectinases), and upregulated carbohydrate metabolism, reflecting microbial adaptation to low-quality forage.IMPORTANCEMongolian cattle's superior roughage tolerance depends on a specialized rumen microbiome that degrades fibrous substrates via diverse CAZymes. However, microbe-metabolite interactions driving fiber digestion in this breed remain poorly understood. This study revealed an increased abundance of bacteria and fungi involved in rumen fiber degradation, which may be responsible for secreting enzymes associated with hemicellulose and pectin breakdown. Furthermore, the upregulation of key metabolites, including gluconolactone, indirectly promotes acetate production through pathways such as glycolysis and the pentose phosphate pathway. These findings reveal microbial adaptations enhancing low-quality forage utilization, offering new strategies for improving ruminant efficiency in seasonal or resource-limited grazing systems.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Rumen/microbiology/metabolism
Cattle/microbiology
*Animal Feed/analysis
*Poaceae/metabolism
Fermentation
Metagenomics
*Dietary Fiber/metabolism
Bacteria/classification/genetics/metabolism/isolation & purification
Gastrointestinal Microbiome
Female
Metabolomics
Mongolia
Digestion
Fungi/classification/genetics/metabolism/isolation & purification
Metagenome
RevDate: 2026-02-04
CmpDate: 2026-02-04
Gut microbiota composition and derived enterotypes are associated with ponderal status in preschool children. Childhood obesity risk assessment longitudinal study (CORALS) cohort.
Clinical nutrition (Edinburgh, Scotland), 57:106558.
BACKGROUND AND AIMS: Childhood obesity is a growing public health concern increasingly linked to gut microbiota. We analysed associations between microbiota composition, functionality, and weight status in 1134 children aged 3-6 years from the CORALS cohort.
METHODS: The baseline cross-sectional study stratified participants by weight status (underweight, normal weight, overweight, obesity) and performed shotgun metagenomic sequencing of stool samples. Analyses in R assessed alpha/beta diversity, taxonomic composition, enterotypes, and microbial pathways.
RESULTS: Alpha diversity decreased with increasing BMI, particularly in obesity (Shannon adj.P = 0.00301; Simpson adj.P = 0.00158). Beta diversity revealed distinct microbial structures across groups (p = 0.001). Four enterotypes were identified: obesity was associated with Enterotype 3 (Segatella-dominated, p = 0.023), while Enterotype 1 (Alistipes, Akkermansia, Coprococcus) was enriched in underweight/normal weight. Species linked to obesity included higher Phocaeicola dorei (adj.P = 0.003) and Segatella hominis (adj.P = 0.001), and lower Longicatena caecimuris (adj.P = 0.03) and Blautia parvula (adj.P = 0.003). Functional analyses showed downregulation of vitamin and nucleotide biosynthesis pathways and reduced carbohydrate metabolism in overweight/obesity.
CONCLUSIONS: Gut microbiota composition and functionality are strongly associated with weight status in early childhood, suggesting microbial biomarkers and metabolic pathways relevant to understand early obesity development.
CLINICALTRIALS: gov ID NCT06317883.
Additional Links: PMID-41499920
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PubMed:
Citation:
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@article {pmid41499920,
year = {2026},
author = {Vázquez-Bolea, N and Mora-MartÃnez, C and Cuervo, M and Martinez, JA and Gil-Campos, M and Leis, R and Babio, N and Moreno, LA and Corella, D and Moreira Echeverria, A and Aguilera, CM and Castro-Collado, C and Picáns-Leis, R and Hernández-Cacho, A and Miguel-Berges, ML and Martin-Climent, P and Jurado-Castro, JM and Vázquez-Cobela, R and Plaza-Diaz, J and Rueda-De Torre, I and Pastor-Villaescusa, B and de la Torre-Aguilar, MJ and Salas-Salvadó, J and Sanz, Y and Navas-Carretero, S},
title = {Gut microbiota composition and derived enterotypes are associated with ponderal status in preschool children. Childhood obesity risk assessment longitudinal study (CORALS) cohort.},
journal = {Clinical nutrition (Edinburgh, Scotland)},
volume = {57},
number = {},
pages = {106558},
doi = {10.1016/j.clnu.2025.106558},
pmid = {41499920},
issn = {1532-1983},
mesh = {Humans ; *Gastrointestinal Microbiome/physiology ; Child ; Child, Preschool ; Female ; Male ; *Pediatric Obesity/microbiology ; Longitudinal Studies ; Cross-Sectional Studies ; Feces/microbiology ; Body Mass Index ; Risk Assessment ; *Thinness/microbiology ; Overweight/microbiology ; Cohort Studies ; Bacteria/classification ; },
abstract = {BACKGROUND AND AIMS: Childhood obesity is a growing public health concern increasingly linked to gut microbiota. We analysed associations between microbiota composition, functionality, and weight status in 1134 children aged 3-6 years from the CORALS cohort.
METHODS: The baseline cross-sectional study stratified participants by weight status (underweight, normal weight, overweight, obesity) and performed shotgun metagenomic sequencing of stool samples. Analyses in R assessed alpha/beta diversity, taxonomic composition, enterotypes, and microbial pathways.
RESULTS: Alpha diversity decreased with increasing BMI, particularly in obesity (Shannon adj.P = 0.00301; Simpson adj.P = 0.00158). Beta diversity revealed distinct microbial structures across groups (p = 0.001). Four enterotypes were identified: obesity was associated with Enterotype 3 (Segatella-dominated, p = 0.023), while Enterotype 1 (Alistipes, Akkermansia, Coprococcus) was enriched in underweight/normal weight. Species linked to obesity included higher Phocaeicola dorei (adj.P = 0.003) and Segatella hominis (adj.P = 0.001), and lower Longicatena caecimuris (adj.P = 0.03) and Blautia parvula (adj.P = 0.003). Functional analyses showed downregulation of vitamin and nucleotide biosynthesis pathways and reduced carbohydrate metabolism in overweight/obesity.
CONCLUSIONS: Gut microbiota composition and functionality are strongly associated with weight status in early childhood, suggesting microbial biomarkers and metabolic pathways relevant to understand early obesity development.
CLINICALTRIALS: gov ID NCT06317883.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome/physiology
Child
Child, Preschool
Female
Male
*Pediatric Obesity/microbiology
Longitudinal Studies
Cross-Sectional Studies
Feces/microbiology
Body Mass Index
Risk Assessment
*Thinness/microbiology
Overweight/microbiology
Cohort Studies
Bacteria/classification
RevDate: 2026-02-04
CmpDate: 2026-02-04
Rumen microbiota inoculation indicates collaborative mechanisms enhancing propionate supply to alleviate weaning stress in lambs.
Microbiome, 14(1):54.
BACKGROUND: The transition from milk to solid feed during weaning often imposes metabolic stress on young ruminants due to energy deficits. Previous studies suggest that ruminal microbiota transplantation from adults to juveniles can alleviate weaning stress, but the underlying mechanisms remain poorly defined.
RESULTS: In this study, 48 Hu lambs were randomly assigned to two groups (n = 24 each): an inoculated group (Inoc) that received lyophilized ruminal microbiota and a control group (Ctrl) that received no inoculation. We evaluated rumen fermentation characteristics, blood metabolites, hepatic glycogen levels, expression of hepatic gluconeogenic genes, and shifts in the rumen microbiome at three key time points-the end of weaning, 1 and 2 weeks post-weaning. Oral inoculation significantly elevated rumen propionate concentration, upregulated the gene expression of hepatic pyruvate carboxylase (EC 6.4.1.1) and glucose-6-phosphatase (EC 3.1.3.9), and increased hepatic glucose production. Microbiome analysis revealed increased colonization by lactic acid-producing bacteria (e.g., Olsenella and Sharpea) and propionate producers, such as Megasphaera elsdenii, alongside enriched families associated with propionate production, including Prevotellaceae, Succinivibrionaceae, and Erysipelotrichaceae. Genome-resolved metagenomics further demonstrated an increased abundance of metagenome-assembled genomes (MAGs) carrying polysaccharide utilization loci (PULs) and genes involved in lactate-to-propionate conversion. Notably, the inoculation promoted co-occurrence of functionally complementary MAGs-such as s_Megasphaera elsdenii (MAG98), s_Bilifractor sp902797025 (MAG125), s_Prevotella sp002391185 (MAG342), and s_Prevotella sp900540375 (MAG298)-that carry a wide repertoire of genes involved in polysaccharide degradation and lactate-to-propionate fermentation. In vitro co-culture experiments with Megasphaera elsdenii and Bilifractor porci confirmed their synergistic role in promoting propionate production.
CONCLUSIONS: This study demonstrates that oral inoculation of pre-weaned lambs with starter feed-adapted adult rumen microbiota facilitates the establishment of a microbial consortium capable of enhanced lactate and propionate production, thereby enhancing hepatic gluconeogenesis and energy homeostasis, which ultimately mitigates weaning stress. This approach may offer a promising strategy to facilitate dietary transition and enhance metabolic resilience in young ruminants during weaning by modulating rumen microbial composition toward a propionate-producing community. Video Abstract.
Additional Links: PMID-41491581
PubMed:
Citation:
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@article {pmid41491581,
year = {2026},
author = {Chen, T and Yu, S and Li, K and Huang, K and Shi, W and Chen, H and Hong, Q and Zhang, Y and Wang, J and Yu, Z and Wang, J},
title = {Rumen microbiota inoculation indicates collaborative mechanisms enhancing propionate supply to alleviate weaning stress in lambs.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {54},
pmid = {41491581},
issn = {2049-2618},
support = {2023YFD1300901//the Ministry of Science and Technology of the People's Republic of China/ ; D21C170001//the Natural Science Foundation of Zhejiang Province/ ; 31622056//the National Natural Science Foundation of China/ ; 226-2025-00026//Fundamental Research Funds for the Central Universities/ ; },
mesh = {Animals ; *Rumen/microbiology/metabolism ; *Propionates/metabolism ; Weaning ; Fermentation ; Sheep/microbiology ; *Gastrointestinal Microbiome ; *Bacteria/classification/metabolism/genetics/isolation & purification ; *Stress, Physiological ; Animal Feed ; Liver/metabolism ; Metagenomics ; Gluconeogenesis ; },
abstract = {BACKGROUND: The transition from milk to solid feed during weaning often imposes metabolic stress on young ruminants due to energy deficits. Previous studies suggest that ruminal microbiota transplantation from adults to juveniles can alleviate weaning stress, but the underlying mechanisms remain poorly defined.
RESULTS: In this study, 48 Hu lambs were randomly assigned to two groups (n = 24 each): an inoculated group (Inoc) that received lyophilized ruminal microbiota and a control group (Ctrl) that received no inoculation. We evaluated rumen fermentation characteristics, blood metabolites, hepatic glycogen levels, expression of hepatic gluconeogenic genes, and shifts in the rumen microbiome at three key time points-the end of weaning, 1 and 2 weeks post-weaning. Oral inoculation significantly elevated rumen propionate concentration, upregulated the gene expression of hepatic pyruvate carboxylase (EC 6.4.1.1) and glucose-6-phosphatase (EC 3.1.3.9), and increased hepatic glucose production. Microbiome analysis revealed increased colonization by lactic acid-producing bacteria (e.g., Olsenella and Sharpea) and propionate producers, such as Megasphaera elsdenii, alongside enriched families associated with propionate production, including Prevotellaceae, Succinivibrionaceae, and Erysipelotrichaceae. Genome-resolved metagenomics further demonstrated an increased abundance of metagenome-assembled genomes (MAGs) carrying polysaccharide utilization loci (PULs) and genes involved in lactate-to-propionate conversion. Notably, the inoculation promoted co-occurrence of functionally complementary MAGs-such as s_Megasphaera elsdenii (MAG98), s_Bilifractor sp902797025 (MAG125), s_Prevotella sp002391185 (MAG342), and s_Prevotella sp900540375 (MAG298)-that carry a wide repertoire of genes involved in polysaccharide degradation and lactate-to-propionate fermentation. In vitro co-culture experiments with Megasphaera elsdenii and Bilifractor porci confirmed their synergistic role in promoting propionate production.
CONCLUSIONS: This study demonstrates that oral inoculation of pre-weaned lambs with starter feed-adapted adult rumen microbiota facilitates the establishment of a microbial consortium capable of enhanced lactate and propionate production, thereby enhancing hepatic gluconeogenesis and energy homeostasis, which ultimately mitigates weaning stress. This approach may offer a promising strategy to facilitate dietary transition and enhance metabolic resilience in young ruminants during weaning by modulating rumen microbial composition toward a propionate-producing community. Video Abstract.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Rumen/microbiology/metabolism
*Propionates/metabolism
Weaning
Fermentation
Sheep/microbiology
*Gastrointestinal Microbiome
*Bacteria/classification/metabolism/genetics/isolation & purification
*Stress, Physiological
Animal Feed
Liver/metabolism
Metagenomics
Gluconeogenesis
RevDate: 2026-02-04
CmpDate: 2026-02-04
High-throughput single-cell isolation of Bifidobacterium strains from the human gut microbiome.
Microbiology spectrum, 14(2):e0303325.
UNLABELLED: Bifidobacterium represents a diverse genus of commensal gut bacteria with key roles in human health, from metabolizing indigestible fibers to protecting against pathogens. While metagenomic studies have highlighted significant strain diversity for Bifidobacterium species within individuals, their systematic isolation and phenotypic characterization can be hampered by the significant effort and biases inherent in traditional culturomics. Here, we explored the utility of a high-throughput single-cell dispensing system (B.SIGHT)-based workflow for accelerating the process of isolating diverse Bifidobacterium strains from fecal samples. Systematic assessment of this workflow revealed a high single-cell dispensing frequency (>88%) and the ability to preserve species diversity when a pool of Bifidobacterium strains was dispensed. Culturing-related factors including the use of an effective selection medium, such as the Bifidus Selective Medium supplemented with mupirocin, and the length of pre-dispensing incubation were found to be critical in determining isolation success. Leveraging this workflow, we obtained a total of 622 viable isolates from five Singaporean fecal samples, of which >98% were found to be from Bifidobacterium species. Whole-genome sequencing of 96 isolates identified six different Bifidobacterium species with both inter- and intra-subject strain and lineage diversity, and the majority (>66%) were novel relative to large public genomic databases. Our findings highlight the ability of this high-throughput culturomics workflow to accelerate the recovery of diverse and novel Bifidobacterium strains, enabling further interrogation of their functional characteristics and advancing our understanding of important bacterial species in the gut microbiome.
IMPORTANCE: The field of high-throughput microbial culturomics is still in its early stages. Enhancing our ability to isolate and phenotypically test bacterial strains from complex communities is crucial for advancing microbiome research and healthcare development. Given the time and cost inefficiencies of traditional culturing methods, a more efficient, high-throughput approach to obtain isolates is needed. In the present study, we assessed a single-cell dispensing platform and developed a workflow to isolate diverse Bifidobacterium strains from fecal samples. We demonstrated here the capability of this novel technology to efficiently obtain hundreds of isolates of a targeted group, covering both species and strain diversities. This generalizable and scalable method can potentially allow for the high-throughput recovery of microbes from other taxonomic groups, providing a fundamental step in improving the culturomics framework to complement metagenomic approaches and enable isolate-level functional studies of important microbes.
Additional Links: PMID-41467811
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PubMed:
Citation:
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@article {pmid41467811,
year = {2026},
author = {Ha, LH and On, YY and Pohan, C and Lee, J and How, SHC and Teo, Y-Y and Seedorf, H and Gounot, J-S and Nagarajan, N},
title = {High-throughput single-cell isolation of Bifidobacterium strains from the human gut microbiome.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0303325},
doi = {10.1128/spectrum.03033-25},
pmid = {41467811},
issn = {2165-0497},
support = {NRFI09-0015//National Research Foundation Singapore/ ; CIRG22jul-0023//National Medical Research Council/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome ; *Bifidobacterium/isolation & purification/genetics/classification ; Feces/microbiology ; *Single-Cell Analysis/methods ; Whole Genome Sequencing ; Genome, Bacterial ; Phylogeny ; },
abstract = {UNLABELLED: Bifidobacterium represents a diverse genus of commensal gut bacteria with key roles in human health, from metabolizing indigestible fibers to protecting against pathogens. While metagenomic studies have highlighted significant strain diversity for Bifidobacterium species within individuals, their systematic isolation and phenotypic characterization can be hampered by the significant effort and biases inherent in traditional culturomics. Here, we explored the utility of a high-throughput single-cell dispensing system (B.SIGHT)-based workflow for accelerating the process of isolating diverse Bifidobacterium strains from fecal samples. Systematic assessment of this workflow revealed a high single-cell dispensing frequency (>88%) and the ability to preserve species diversity when a pool of Bifidobacterium strains was dispensed. Culturing-related factors including the use of an effective selection medium, such as the Bifidus Selective Medium supplemented with mupirocin, and the length of pre-dispensing incubation were found to be critical in determining isolation success. Leveraging this workflow, we obtained a total of 622 viable isolates from five Singaporean fecal samples, of which >98% were found to be from Bifidobacterium species. Whole-genome sequencing of 96 isolates identified six different Bifidobacterium species with both inter- and intra-subject strain and lineage diversity, and the majority (>66%) were novel relative to large public genomic databases. Our findings highlight the ability of this high-throughput culturomics workflow to accelerate the recovery of diverse and novel Bifidobacterium strains, enabling further interrogation of their functional characteristics and advancing our understanding of important bacterial species in the gut microbiome.
IMPORTANCE: The field of high-throughput microbial culturomics is still in its early stages. Enhancing our ability to isolate and phenotypically test bacterial strains from complex communities is crucial for advancing microbiome research and healthcare development. Given the time and cost inefficiencies of traditional culturing methods, a more efficient, high-throughput approach to obtain isolates is needed. In the present study, we assessed a single-cell dispensing platform and developed a workflow to isolate diverse Bifidobacterium strains from fecal samples. We demonstrated here the capability of this novel technology to efficiently obtain hundreds of isolates of a targeted group, covering both species and strain diversities. This generalizable and scalable method can potentially allow for the high-throughput recovery of microbes from other taxonomic groups, providing a fundamental step in improving the culturomics framework to complement metagenomic approaches and enable isolate-level functional studies of important microbes.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome
*Bifidobacterium/isolation & purification/genetics/classification
Feces/microbiology
*Single-Cell Analysis/methods
Whole Genome Sequencing
Genome, Bacterial
Phylogeny
RevDate: 2026-02-04
CmpDate: 2026-02-04
Chicken cecal microbial functional gene content and resistome differ by age and barn disinfection practice.
Microbiology spectrum, 14(2):e0373725.
Chemical disinfectants and water-wash methods are widely employed in sanitizing broiler chicken barns. Studies showed that disinfectants affect environmental microbial composition and antibiotic resistance genes (ARGs). However, little is known regarding how barn disinfection treatments impact the chicken gut resistome and microbial functional gene content. The current study compared the effects of disinfection and water-wash method on the gut microbiome and resistome of commercial broilers using a crossover experimental design after two production cycles at seven barns. Shotgun metagenomic sequencing performed on cecal contents collected at days 7 and 30 also allowed the evaluation of age-associated characteristics of the microbiome. The age of the chickens had the largest effects on the resistome, with younger birds having higher relative abundance of total ARGs (P < 0.05) and differences in resistance mechanism; however, functional gene content and resistome differences were also identified by barn sanitation practice. At day 7, chickens in chemically disinfected barns had decreased gene content related to amino acid synthesis compared to the water-wash group. Additionally, genes related to stringent response were enriched in chickens raised under chemically disinfected conditions (FDR-P < 0.05), suggesting the selection for stress resistance. Lower abundance of genetic pathways encoding amino acid biosynthesis associated with cecal Helicobacter pullorum was observed in the disinfection group at day 30 compared to the water-wash group, with the same pattern in short-chain fatty acid biosynthesis (FDR-P < 0.05). Overall, while the use of disinfectants in barn sanitation slightly affected the relative abundance of some ARGs in the gut, age had a dominant effect on the microbial gene function and resistome.IMPORTANCEThis is the first study to evaluate the effect of sanitation practices on microbial functional gene content and resistome of chickens in a commercial setting. It is also amongst the biggest metagenomics studies on the gut microbiome of broiler chickens. It provides new insights into the changes in resistance profiles with age that agree with other studies examining maturation of the microbiome in other species. Finally, the current study provides valuable insights for informing industry sanitation practices and future studies on broiler gut microbiome and resistome.
Additional Links: PMID-41451983
Publisher:
PubMed:
Citation:
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@article {pmid41451983,
year = {2026},
author = {Fan, Y and Ju, T and Bhardwaj, T and Korver, DR and Willing, BP},
title = {Chicken cecal microbial functional gene content and resistome differ by age and barn disinfection practice.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0373725},
doi = {10.1128/spectrum.03737-25},
pmid = {41451983},
issn = {2165-0497},
support = {RGPIN-2019-06336//Natural Sciences and Engineering Research Council of Canada/ ; //Agriculture Funding Consortium/ ; },
mesh = {Animals ; *Chickens/microbiology ; *Cecum/microbiology ; *Disinfection/methods ; *Gastrointestinal Microbiome/genetics/drug effects ; Disinfectants/pharmacology ; *Bacteria/genetics/drug effects/classification/isolation & purification ; Age Factors ; Housing, Animal ; Metagenomics ; },
abstract = {Chemical disinfectants and water-wash methods are widely employed in sanitizing broiler chicken barns. Studies showed that disinfectants affect environmental microbial composition and antibiotic resistance genes (ARGs). However, little is known regarding how barn disinfection treatments impact the chicken gut resistome and microbial functional gene content. The current study compared the effects of disinfection and water-wash method on the gut microbiome and resistome of commercial broilers using a crossover experimental design after two production cycles at seven barns. Shotgun metagenomic sequencing performed on cecal contents collected at days 7 and 30 also allowed the evaluation of age-associated characteristics of the microbiome. The age of the chickens had the largest effects on the resistome, with younger birds having higher relative abundance of total ARGs (P < 0.05) and differences in resistance mechanism; however, functional gene content and resistome differences were also identified by barn sanitation practice. At day 7, chickens in chemically disinfected barns had decreased gene content related to amino acid synthesis compared to the water-wash group. Additionally, genes related to stringent response were enriched in chickens raised under chemically disinfected conditions (FDR-P < 0.05), suggesting the selection for stress resistance. Lower abundance of genetic pathways encoding amino acid biosynthesis associated with cecal Helicobacter pullorum was observed in the disinfection group at day 30 compared to the water-wash group, with the same pattern in short-chain fatty acid biosynthesis (FDR-P < 0.05). Overall, while the use of disinfectants in barn sanitation slightly affected the relative abundance of some ARGs in the gut, age had a dominant effect on the microbial gene function and resistome.IMPORTANCEThis is the first study to evaluate the effect of sanitation practices on microbial functional gene content and resistome of chickens in a commercial setting. It is also amongst the biggest metagenomics studies on the gut microbiome of broiler chickens. It provides new insights into the changes in resistance profiles with age that agree with other studies examining maturation of the microbiome in other species. Finally, the current study provides valuable insights for informing industry sanitation practices and future studies on broiler gut microbiome and resistome.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Chickens/microbiology
*Cecum/microbiology
*Disinfection/methods
*Gastrointestinal Microbiome/genetics/drug effects
Disinfectants/pharmacology
*Bacteria/genetics/drug effects/classification/isolation & purification
Age Factors
Housing, Animal
Metagenomics
RevDate: 2026-02-04
CmpDate: 2026-02-04
Controlled irrigation suppresses methane emissions by reshaping the rhizosphere microbiomes in rice.
Microbiology spectrum, 14(2):e0297025.
The rhizosphere microbiomes of rice plants under conventional flood irrigation consist of highly complex consortia of microorganisms and, in particular, methanogens purportedly associated with methane emissions therein. Controlled irrigation has been proposed as a cultivation method of choice over continuous flooding to reduce water and fertilizer usage in an aerobic environment. However, a systematic understanding of the assembly and function of microbiota in the rhizosphere under drip and flood irrigation remains unclear. Using empirical analyses, we report a significant reduction in methane emissions in controlled irrigation compared to the flooded environment. Genotypic or varietal differences did not influence such methane emissions under conventional flooded cultivation of rice. Using metagenomic sequencing and computational analyses, we provide a deeper understanding of how drip irrigation or continuous flooding affects the root-associated microbiomes in rice. Rhizosphere soil from two different rice varieties, Huanghuazhan and Temasek rice, grown under drip or flood conditions in a greenhouse, was collected over 2 months post-transplantation for metagenomic analysis. Our results reveal that drip irrigation favors microbes involved in the nitrifying-denitrifying processes, while continuous flooding enriches for methanotrophs and methanogenic archaea. Syntrophic microbiomes associated with methanogenesis were significantly reduced in drip irrigation. Several keystone taxa were evident in the co-occurrence network model related to methanogenic, methanotrophic, nitrifying, sulfur-oxidizing and sulfur-reducing activities. Lastly, oxygen availability and redox potential were identified as key drivers that reshape rhizosphere microbiota and the associated metabolic functional differences observed between the two irrigation regimes, leading up to the microbial mitigation of climate impact.IMPORTANCEUnlike previous studies in alternate wet-dry irrigation systems, this study characterized the rice microbiomes in a controlled drip irrigation setting where water levels were maintained at low levels and soil remained unflooded throughout the entire season in a greenhouse. A reduction of more than 90% in methane emissions was observed with drip irrigation compared to flood irrigation. A significant correlation was found between levels of methane emitted and mcrA gene copies detected, with a Pearson correlation coefficient R of 0.77 and P-value of 2.3e - 10. Methanogens are highly abundant in continuously flooded rice soil and are significantly reduced in drip-irrigated soil. Metagenomic profiling indicates that the shifts in microbial diversity under drip irrigation favor nitrifying microorganisms and are likely influenced by increased oxygen availability due to higher soil redox potential.
Additional Links: PMID-41432159
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PubMed:
Citation:
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@article {pmid41432159,
year = {2026},
author = {Lau, KJX and Ma, A and Chen, B and Thankaraj Salammal, MS and Ramachandran, S and Naqvi, NI},
title = {Controlled irrigation suppresses methane emissions by reshaping the rhizosphere microbiomes in rice.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0297025},
doi = {10.1128/spectrum.02970-25},
pmid = {41432159},
issn = {2165-0497},
support = {Intramural//Temasek Life Sciences Laboratory/ ; //Philanthropy Asia Alliance/ ; //Bill and Melinda Gates Foundation (GF)/ ; },
mesh = {*Oryza/microbiology/growth & development/metabolism ; *Methane/metabolism ; *Rhizosphere ; *Agricultural Irrigation/methods ; *Microbiota ; Soil Microbiology ; Bacteria/classification/genetics/metabolism/isolation & purification ; Archaea/metabolism/genetics/classification ; Plant Roots/microbiology ; Metagenomics ; Floods ; },
abstract = {The rhizosphere microbiomes of rice plants under conventional flood irrigation consist of highly complex consortia of microorganisms and, in particular, methanogens purportedly associated with methane emissions therein. Controlled irrigation has been proposed as a cultivation method of choice over continuous flooding to reduce water and fertilizer usage in an aerobic environment. However, a systematic understanding of the assembly and function of microbiota in the rhizosphere under drip and flood irrigation remains unclear. Using empirical analyses, we report a significant reduction in methane emissions in controlled irrigation compared to the flooded environment. Genotypic or varietal differences did not influence such methane emissions under conventional flooded cultivation of rice. Using metagenomic sequencing and computational analyses, we provide a deeper understanding of how drip irrigation or continuous flooding affects the root-associated microbiomes in rice. Rhizosphere soil from two different rice varieties, Huanghuazhan and Temasek rice, grown under drip or flood conditions in a greenhouse, was collected over 2 months post-transplantation for metagenomic analysis. Our results reveal that drip irrigation favors microbes involved in the nitrifying-denitrifying processes, while continuous flooding enriches for methanotrophs and methanogenic archaea. Syntrophic microbiomes associated with methanogenesis were significantly reduced in drip irrigation. Several keystone taxa were evident in the co-occurrence network model related to methanogenic, methanotrophic, nitrifying, sulfur-oxidizing and sulfur-reducing activities. Lastly, oxygen availability and redox potential were identified as key drivers that reshape rhizosphere microbiota and the associated metabolic functional differences observed between the two irrigation regimes, leading up to the microbial mitigation of climate impact.IMPORTANCEUnlike previous studies in alternate wet-dry irrigation systems, this study characterized the rice microbiomes in a controlled drip irrigation setting where water levels were maintained at low levels and soil remained unflooded throughout the entire season in a greenhouse. A reduction of more than 90% in methane emissions was observed with drip irrigation compared to flood irrigation. A significant correlation was found between levels of methane emitted and mcrA gene copies detected, with a Pearson correlation coefficient R of 0.77 and P-value of 2.3e - 10. Methanogens are highly abundant in continuously flooded rice soil and are significantly reduced in drip-irrigated soil. Metagenomic profiling indicates that the shifts in microbial diversity under drip irrigation favor nitrifying microorganisms and are likely influenced by increased oxygen availability due to higher soil redox potential.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Oryza/microbiology/growth & development/metabolism
*Methane/metabolism
*Rhizosphere
*Agricultural Irrigation/methods
*Microbiota
Soil Microbiology
Bacteria/classification/genetics/metabolism/isolation & purification
Archaea/metabolism/genetics/classification
Plant Roots/microbiology
Metagenomics
Floods
RevDate: 2026-02-04
CmpDate: 2026-02-04
Is light-to-moderate alcohol drinking associated with the onset of metabolic dysfunction-associated steatotic liver disease in a Chinese cohort?.
The American journal of clinical nutrition, 123(2):101144.
BACKGROUND: The association between light-to-moderate alcohol drinking (≤14 g/d for females; ≤28 g/d for males) and the risk of steatotic liver disease (SLD), including its metabolic dysfunction-associated subtype (MASLD), remains unclear, as does the role of related gut microbiota.
OBJECTIVES: We investigated the association between light-to-moderate alcohol drinking and incident SLD/MASLD, identified gut microbial species associated with such drinking, and evaluated their associations with disease risk.
METHODS: Among 1297 adults from a Chinese community-based cohort, alcohol intake was assessed by a validated questionnaire, and SLD was diagnosed by vibration-controlled transient elastography. In a subset with fecal samples at follow-up (n = 665), gut microbiota was profiled using shotgun metagenomic sequencing. We used the mean alcohol intake from baseline and follow-up to represent long-term drinking habits. Species differentially associated with alcohol intake were identified using zero-inflated Gaussian models with false discovery rate (FDR) correction. Cox and logistic regression were used to estimate hazard ratio (HR) and odds ratio (OR) with 95% confidence interval (CI), respectively.
RESULTS: During follow-up (2020-2025), 513 incident SLD cases were identified. Light-to-moderate drinkers showed higher risks of SLD (HR = 1.27, 95% CI: 1.03, 1.58) and MASLD (HR = 1.27, 95% CI: 1.01, 1.59) compared with abstainers. For the same comparison, liquor consumption was positively associated with SLD (HR = 1.29, 95% CI: 1.01, 1.65). We identified 89 microbial species associated with alcohol intake and constructed a microbial score, which was positively associated with SLD (ORT3 vs T1 = 1.54, 95% CI: 1.03, 2.31, Ptrend = 0.05) and MASLD (ORT3 vs T1 = 1.50, 95% CI: 1.00, 2.26, Ptrend = 0.05). Among these species, Stenotrophomonas maltophilia AQ, Olsenella E timonensis, and Firm 11 sp., which were less abundant in drinkers, showed inverse associations with both conditions after FDR correction.
CONCLUSIONS: Light-to-moderate alcohol consumption was associated with increased risks of SLD and MASLD. A gut microbial score based on alcohol-associated species also predicted higher disease risk.
Additional Links: PMID-41429225
Publisher:
PubMed:
Citation:
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@article {pmid41429225,
year = {2026},
author = {Chen, J and Cao, H and Xu, Y and Chang, Y and Qin, X and Zhang, Z and Yang, W},
title = {Is light-to-moderate alcohol drinking associated with the onset of metabolic dysfunction-associated steatotic liver disease in a Chinese cohort?.},
journal = {The American journal of clinical nutrition},
volume = {123},
number = {2},
pages = {101144},
doi = {10.1016/j.ajcnut.2025.101144},
pmid = {41429225},
issn = {1938-3207},
mesh = {Humans ; Male ; *Alcohol Drinking/adverse effects ; Female ; Middle Aged ; *Gastrointestinal Microbiome ; Adult ; China/epidemiology ; *Fatty Liver/etiology/epidemiology ; Cohort Studies ; Risk Factors ; Asian People ; Aged ; *Metabolic Diseases/etiology ; East Asian People ; },
abstract = {BACKGROUND: The association between light-to-moderate alcohol drinking (≤14 g/d for females; ≤28 g/d for males) and the risk of steatotic liver disease (SLD), including its metabolic dysfunction-associated subtype (MASLD), remains unclear, as does the role of related gut microbiota.
OBJECTIVES: We investigated the association between light-to-moderate alcohol drinking and incident SLD/MASLD, identified gut microbial species associated with such drinking, and evaluated their associations with disease risk.
METHODS: Among 1297 adults from a Chinese community-based cohort, alcohol intake was assessed by a validated questionnaire, and SLD was diagnosed by vibration-controlled transient elastography. In a subset with fecal samples at follow-up (n = 665), gut microbiota was profiled using shotgun metagenomic sequencing. We used the mean alcohol intake from baseline and follow-up to represent long-term drinking habits. Species differentially associated with alcohol intake were identified using zero-inflated Gaussian models with false discovery rate (FDR) correction. Cox and logistic regression were used to estimate hazard ratio (HR) and odds ratio (OR) with 95% confidence interval (CI), respectively.
RESULTS: During follow-up (2020-2025), 513 incident SLD cases were identified. Light-to-moderate drinkers showed higher risks of SLD (HR = 1.27, 95% CI: 1.03, 1.58) and MASLD (HR = 1.27, 95% CI: 1.01, 1.59) compared with abstainers. For the same comparison, liquor consumption was positively associated with SLD (HR = 1.29, 95% CI: 1.01, 1.65). We identified 89 microbial species associated with alcohol intake and constructed a microbial score, which was positively associated with SLD (ORT3 vs T1 = 1.54, 95% CI: 1.03, 2.31, Ptrend = 0.05) and MASLD (ORT3 vs T1 = 1.50, 95% CI: 1.00, 2.26, Ptrend = 0.05). Among these species, Stenotrophomonas maltophilia AQ, Olsenella E timonensis, and Firm 11 sp., which were less abundant in drinkers, showed inverse associations with both conditions after FDR correction.
CONCLUSIONS: Light-to-moderate alcohol consumption was associated with increased risks of SLD and MASLD. A gut microbial score based on alcohol-associated species also predicted higher disease risk.},
}
MeSH Terms:
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Humans
Male
*Alcohol Drinking/adverse effects
Female
Middle Aged
*Gastrointestinal Microbiome
Adult
China/epidemiology
*Fatty Liver/etiology/epidemiology
Cohort Studies
Risk Factors
Asian People
Aged
*Metabolic Diseases/etiology
East Asian People
RevDate: 2026-02-04
CmpDate: 2026-02-04
Assessment of the effectiveness of host depletion techniques for profiling fish skin microbiomes and metagenomic analysis.
Microbiology spectrum, 14(2):e0183825.
UNLABELLED: Microbiomes on fish mucosal surfaces play crucial roles in nutrient absorption, immune priming, and defense, and disruptions in these microbial communities can lead to adverse health outcomes, including disease. Studying fish microbiomes relies on sequencing microbiota within mucosal-rich samples; however, nucleic acid extraction from these samples is composed predominantly of host DNA, making subsequent bioinformatic processes difficult. Host depletion techniques address this issue by either selectively degrading host DNA before sequencing or retaining bacterial DNA post-extraction. However, their application to fish mucosal samples has been largely unexplored. Here, we assessed the efficacy of various host depletion techniques on fish skin mucosal swabs via either selectively removing CpG-methylated (predominantly eukaryotic) DNA or selectively lysing eukaryotic cells before DNA extraction. Surprisingly, none of the existing methods we assessed effectively reduced host DNA to be practically useful. Furthermore, some methods introduced a bias toward certain bacterial taxa, including the Bacilli class and the Proteobacteria phylum. Our findings illustrate that the currently available host depletion techniques are largely ineffective for reducing host DNA in fish mucosal samples. This poses a major limitation for developing an understanding of the functional composition of fish mucosal microbiomes, as enriching microbiota (and excluding host DNA) is fundamental for cost-effective metagenomic studies and facilitating more accurate analyses of the microbiota metabolome and proteome.
IMPORTANCE: Microbial communities on fish mucosal surfaces are vital for immune function and disease resistance. However, sequencing these communities is hindered by the dominance of host DNA in mucosal samples, which can exceed 99% of total nucleic acids. While host depletion techniques are routinely used in human and mammalian systems to enrich microbial DNA, their efficacy on fish samples remains uncharacterized. In this study, we assessed multiple commercial and published host depletion methods on fish skin microbiomes. None significantly reduced host DNA to levels suitable for high-quality metagenomic sequencing, and some introduced taxonomic bias. We suggest methodological reasons, including differences in fish cell structure and mucus composition compared to mammalian systems, that may explain these shortcomings. Based on our findings, we propose protocol modifications and highlight key areas for improvement. This work identifies critical limitations and offers a foundation for developing optimized host depletion strategies tailored to fish mucosal microbiome research.
Additional Links: PMID-41427714
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PubMed:
Citation:
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@article {pmid41427714,
year = {2026},
author = {Bell, AG and Cable, J and Temperton, B and Tyler, CR},
title = {Assessment of the effectiveness of host depletion techniques for profiling fish skin microbiomes and metagenomic analysis.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0183825},
doi = {10.1128/spectrum.01838-25},
pmid = {41427714},
issn = {2165-0497},
support = {[NE/R011524/1] (2401467)//Natural Environment Research Council/ ; },
mesh = {Animals ; *Skin/microbiology ; *Metagenomics/methods ; *Microbiota/genetics ; *Fishes/microbiology ; *Bacteria/genetics/classification/isolation & purification ; DNA, Bacterial/genetics/isolation & purification ; Mucous Membrane/microbiology ; },
abstract = {UNLABELLED: Microbiomes on fish mucosal surfaces play crucial roles in nutrient absorption, immune priming, and defense, and disruptions in these microbial communities can lead to adverse health outcomes, including disease. Studying fish microbiomes relies on sequencing microbiota within mucosal-rich samples; however, nucleic acid extraction from these samples is composed predominantly of host DNA, making subsequent bioinformatic processes difficult. Host depletion techniques address this issue by either selectively degrading host DNA before sequencing or retaining bacterial DNA post-extraction. However, their application to fish mucosal samples has been largely unexplored. Here, we assessed the efficacy of various host depletion techniques on fish skin mucosal swabs via either selectively removing CpG-methylated (predominantly eukaryotic) DNA or selectively lysing eukaryotic cells before DNA extraction. Surprisingly, none of the existing methods we assessed effectively reduced host DNA to be practically useful. Furthermore, some methods introduced a bias toward certain bacterial taxa, including the Bacilli class and the Proteobacteria phylum. Our findings illustrate that the currently available host depletion techniques are largely ineffective for reducing host DNA in fish mucosal samples. This poses a major limitation for developing an understanding of the functional composition of fish mucosal microbiomes, as enriching microbiota (and excluding host DNA) is fundamental for cost-effective metagenomic studies and facilitating more accurate analyses of the microbiota metabolome and proteome.
IMPORTANCE: Microbial communities on fish mucosal surfaces are vital for immune function and disease resistance. However, sequencing these communities is hindered by the dominance of host DNA in mucosal samples, which can exceed 99% of total nucleic acids. While host depletion techniques are routinely used in human and mammalian systems to enrich microbial DNA, their efficacy on fish samples remains uncharacterized. In this study, we assessed multiple commercial and published host depletion methods on fish skin microbiomes. None significantly reduced host DNA to levels suitable for high-quality metagenomic sequencing, and some introduced taxonomic bias. We suggest methodological reasons, including differences in fish cell structure and mucus composition compared to mammalian systems, that may explain these shortcomings. Based on our findings, we propose protocol modifications and highlight key areas for improvement. This work identifies critical limitations and offers a foundation for developing optimized host depletion strategies tailored to fish mucosal microbiome research.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Skin/microbiology
*Metagenomics/methods
*Microbiota/genetics
*Fishes/microbiology
*Bacteria/genetics/classification/isolation & purification
DNA, Bacterial/genetics/isolation & purification
Mucous Membrane/microbiology
RevDate: 2026-02-04
CmpDate: 2026-02-04
Microbiome dynamics in the congregate environment of U.S. Army Infantry training.
Microbiology spectrum, 14(2):e0047425.
Within military training and operational environments, individuals from diverse backgrounds share common spaces, follow structured routines and diets, and engage in physically demanding tasks. While there has been interest in leveraging microbiome features to predict and improve military health and performance, the longitudinal convergence of microbiomes in such constrained environments has not been established. To assess the degree of microbiome convergence, we performed shotgun metagenomic sequencing on swab samples from a military trainee cohort. Samples were taken across four different body sites, three timepoints, and two spatially distinct platoons. We observed evidence of convergence in one platoon, whereby similarity in microbiome composition increased over time, with numerous differentially abundant species. We found no indication of strain transfer between individuals, suggesting that convergence was influenced by external environmental factors, diet, and lifestyle. Microbial shifts observed in the convergence process included a decrease in fungal species, such as Malassezia restricta in nasal cavities, and a decrease in Prevotella species at inguinal regions across time. Shifts in multiple Corynebacterium species were also observed with varying magnitudes depending on the body site. Overall, we provide preliminary evidence of convergence of host microbial communities in military-associated environments that were distinguishable using shotgun metagenomic sequencing approaches. The data presented here on microbiome convergence, dynamics, and stability may inform risk-based mitigation in congregate military settings facilitating development of targeted microbial, dietary, or other interventions to optimize health and performance of military populations.IMPORTANCEMicrobiome convergence in deployed environments could impact the health and readiness of the warfighter, with potential implications for susceptibility to biothreats. This study describes a shotgun metagenomic approach used to study the microbiomes of swab samples collected at different body sites in a military trainee cohort. The results presented here provide a foundation for developing future microbiome-based interventions and protocols to enhance operational readiness.
Additional Links: PMID-41405224
Publisher:
PubMed:
Citation:
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@article {pmid41405224,
year = {2026},
author = {Kok, CR and Morrison, MD and Thissen, JB and Mabery, S and Carson, ML and Kimbrel, JA and Bennett, JW and Tribble, DR and Millar, EV and Mende, K and Be, NA},
title = {Microbiome dynamics in the congregate environment of U.S. Army Infantry training.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0047425},
doi = {10.1128/spectrum.00474-25},
pmid = {41405224},
issn = {2165-0497},
support = {Y1-Al-5072//National Institute of Allergy and Infectious Diseases/ ; HU0001190002//U.S. Department of Defense/ ; 20-FS-029//Laboratory Directed Research and Development/ ; },
mesh = {Humans ; *Military Personnel ; *Microbiota/genetics ; *Bacteria/classification/genetics/isolation & purification ; United States ; Metagenomics ; Fungi/classification/genetics/isolation & purification ; Male ; Female ; Adult ; },
abstract = {Within military training and operational environments, individuals from diverse backgrounds share common spaces, follow structured routines and diets, and engage in physically demanding tasks. While there has been interest in leveraging microbiome features to predict and improve military health and performance, the longitudinal convergence of microbiomes in such constrained environments has not been established. To assess the degree of microbiome convergence, we performed shotgun metagenomic sequencing on swab samples from a military trainee cohort. Samples were taken across four different body sites, three timepoints, and two spatially distinct platoons. We observed evidence of convergence in one platoon, whereby similarity in microbiome composition increased over time, with numerous differentially abundant species. We found no indication of strain transfer between individuals, suggesting that convergence was influenced by external environmental factors, diet, and lifestyle. Microbial shifts observed in the convergence process included a decrease in fungal species, such as Malassezia restricta in nasal cavities, and a decrease in Prevotella species at inguinal regions across time. Shifts in multiple Corynebacterium species were also observed with varying magnitudes depending on the body site. Overall, we provide preliminary evidence of convergence of host microbial communities in military-associated environments that were distinguishable using shotgun metagenomic sequencing approaches. The data presented here on microbiome convergence, dynamics, and stability may inform risk-based mitigation in congregate military settings facilitating development of targeted microbial, dietary, or other interventions to optimize health and performance of military populations.IMPORTANCEMicrobiome convergence in deployed environments could impact the health and readiness of the warfighter, with potential implications for susceptibility to biothreats. This study describes a shotgun metagenomic approach used to study the microbiomes of swab samples collected at different body sites in a military trainee cohort. The results presented here provide a foundation for developing future microbiome-based interventions and protocols to enhance operational readiness.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Military Personnel
*Microbiota/genetics
*Bacteria/classification/genetics/isolation & purification
United States
Metagenomics
Fungi/classification/genetics/isolation & purification
Male
Female
Adult
RevDate: 2026-02-04
CmpDate: 2026-02-04
Tanzanian goat gut microbiomes adapt to roadside pollutants and environmental stressors.
Microbiology spectrum, 14(2):e0203625.
The impact of environmental pollution reaching and affecting the gut microbiome is rising. Pollution from vehicle emissions can release compounds harmful to both animal and environmental health, and their effect on the host microbiome is yet to be determined, particularly in understudied locations. Here, we have investigated the potential effect of environmental pollution on the gut microbiome of Tanzanian goats grazing near a heavily trafficked road compared to goats living in a more rural setting. We identified 1,468 metagenome-assembled genomes (MAGs), of which 768 were unidentified species, and created a genomic database to which 52% of the bacterial community could be assigned. We find significant differences in the composition of the bacterial communities and resistomes between rural and road-exposed goats, but not a major difference in antimicrobial resistance (AMR) abundance. Genes involved in pollutant biodegradation were significantly more abundant in the microbiome of goats grazing along the road. This includes genes involved in degradation of naphthalene and toluene (both present in motor vehicle exhaust), as well as the detoxification enzyme, glutathione S-transferase. These findings suggest living near a heavily trafficked road selects for xenobiotic degrading functions within the goat gut microbiome, which might aid the host in detoxification of these compounds.IMPORTANCETo the best of our knowledge, this is the first study on the potential effect of environmental pollution on the gut microbiome of Tanzanian goats. Using shotgun metagenomics, we compare the gut microbiome of goats living near a heavily-trafficked road in Kigoma, Tanzania, with the gut microbiome of goats living in a rural area. We find that genes involved in pollutant biodegradation were significantly more abundant in the gut microbiome of the road-exposed goats, which potentially aids pollutant detoxification in the host. The effect of environmental pollution on the gut microbiome remains poorly understood; however, with this study, we link a potential effect of environmental pollution to changes in the gut microbiome of Tanzanian goats.
Additional Links: PMID-41404904
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PubMed:
Citation:
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@article {pmid41404904,
year = {2026},
author = {Jensen, EEB and Jespersen, ML and Svendsen, CA and Sonda, T and Otani, S and Aarestrup, FM},
title = {Tanzanian goat gut microbiomes adapt to roadside pollutants and environmental stressors.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0203625},
doi = {10.1128/spectrum.02036-25},
pmid = {41404904},
issn = {2165-0497},
support = {101103059//European and Developing Countries Clinical Trials Partnership/ ; },
mesh = {Animals ; *Goats/microbiology ; *Gastrointestinal Microbiome/drug effects/genetics ; Tanzania ; *Bacteria/genetics/classification/drug effects/isolation & purification/metabolism ; *Vehicle Emissions/toxicity ; *Environmental Pollutants/toxicity/metabolism ; Metagenome ; Environmental Pollution/adverse effects ; Biodegradation, Environmental ; Metagenomics ; },
abstract = {The impact of environmental pollution reaching and affecting the gut microbiome is rising. Pollution from vehicle emissions can release compounds harmful to both animal and environmental health, and their effect on the host microbiome is yet to be determined, particularly in understudied locations. Here, we have investigated the potential effect of environmental pollution on the gut microbiome of Tanzanian goats grazing near a heavily trafficked road compared to goats living in a more rural setting. We identified 1,468 metagenome-assembled genomes (MAGs), of which 768 were unidentified species, and created a genomic database to which 52% of the bacterial community could be assigned. We find significant differences in the composition of the bacterial communities and resistomes between rural and road-exposed goats, but not a major difference in antimicrobial resistance (AMR) abundance. Genes involved in pollutant biodegradation were significantly more abundant in the microbiome of goats grazing along the road. This includes genes involved in degradation of naphthalene and toluene (both present in motor vehicle exhaust), as well as the detoxification enzyme, glutathione S-transferase. These findings suggest living near a heavily trafficked road selects for xenobiotic degrading functions within the goat gut microbiome, which might aid the host in detoxification of these compounds.IMPORTANCETo the best of our knowledge, this is the first study on the potential effect of environmental pollution on the gut microbiome of Tanzanian goats. Using shotgun metagenomics, we compare the gut microbiome of goats living near a heavily-trafficked road in Kigoma, Tanzania, with the gut microbiome of goats living in a rural area. We find that genes involved in pollutant biodegradation were significantly more abundant in the gut microbiome of the road-exposed goats, which potentially aids pollutant detoxification in the host. The effect of environmental pollution on the gut microbiome remains poorly understood; however, with this study, we link a potential effect of environmental pollution to changes in the gut microbiome of Tanzanian goats.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Goats/microbiology
*Gastrointestinal Microbiome/drug effects/genetics
Tanzania
*Bacteria/genetics/classification/drug effects/isolation & purification/metabolism
*Vehicle Emissions/toxicity
*Environmental Pollutants/toxicity/metabolism
Metagenome
Environmental Pollution/adverse effects
Biodegradation, Environmental
Metagenomics
RevDate: 2026-02-04
CmpDate: 2026-02-04
Comparison of oral collection methods for 16S rRNA gene and shotgun metagenomic sequencing.
Microbiology spectrum, 14(2):e0180625.
UNLABELLED: To understand how sample collection affects oral microbiome studies, we evaluated the comparability of unpreserved saliva, saliva in glycerol, and mouthwash samples, their room temperature stability, and intraindividual stability over 6 months. Saliva and mouthwash samples were collected from 20 healthy participants 6 months apart. Saliva was divided, with half preserved in glycerol. Some aliquots were frozen immediately, while others were stored at room temperature for a week. DNA was extracted using the PowerSoil Pro and 16S rRNA gene, and shotgun metagenomic sequencing was conducted. Intraclass correlation coefficients (ICCs) from taxonomic and functional tables were compared to assess variability. We estimated sample size requirements based on the intraindividual stability over 6 months. Saliva in glycerol appeared more similar to unpreserved saliva than mouthwash, with higher median ICCs at genus (0.88 vs 0.60), species (0.92 vs 0.64), and gene levels (0.84 vs 0.36; all P < 0.01). Room temperature storage affected saliva in glycerol more than mouthwash (median genus-level ICC = 0.65). No significant differences were observed at the gene level. Intraindividual stability over 6 months was moderate. To detect an odds ratio of 1.5 with one sample per individual, estimated sample sizes ranged from 665 (common species) to 219,547 (rare species). Oral microbiome stability varies by collection method; mouthwash provides greater room temperature stability and may be preferable when immediate freezing is not feasible. For epidemiological studies, consistent use of a single collection method and inclusion of longitudinal sampling can improve reproducibility and power to detect associations with health outcomes.
IMPORTANCE: The oral microbiome plays a key role in health and disease, yet methodological inconsistencies in sample collection and processing can introduce variability and limit comparability across studies. This study investigates the impact of different oral sample collection methods on microbiome profiling and their stability over time. We demonstrate that sample type significantly influences taxonomic and functional microbiome profiles, with mouthwash showing greater stability during delayed processing and saliva in glycerol more closely resembling fresh saliva. Importantly, intraindividual microbial communities were only moderately stable over 6 months, emphasizing the need for consistent sampling protocols and consideration of temporal variation. These findings have direct implications for microbiome study design, highlighting that methodological choices can affect reproducibility, statistical power, and biological interpretation. Our results support the use of mouthwash as a practical alternative when freezing is delayed and underscore the value of longitudinal sampling for detecting biologically meaningful changes.
Additional Links: PMID-41396065
Publisher:
PubMed:
Citation:
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@article {pmid41396065,
year = {2026},
author = {Herrera, G and Zouiouich, S and Diaz-Mayoral, N and Purandare, V and Trabert, B and Wan, Y and Liu, J and Dagnall, CL and Jones, K and Hicks, BD and Hutchinson, A and Li, S and Shi, J and Abnet, CC and Vogtmann, E},
title = {Comparison of oral collection methods for 16S rRNA gene and shotgun metagenomic sequencing.},
journal = {Microbiology spectrum},
volume = {14},
number = {2},
pages = {e0180625},
doi = {10.1128/spectrum.01806-25},
pmid = {41396065},
issn = {2165-0497},
mesh = {Humans ; *Saliva/microbiology ; *RNA, Ribosomal, 16S/genetics ; *Specimen Handling/methods ; *Metagenomics/methods ; *Microbiota/genetics ; Mouthwashes ; Adult ; *Mouth/microbiology ; Male ; Female ; *Bacteria/genetics/classification/isolation & purification ; DNA, Bacterial/genetics ; Young Adult ; Glycerol ; Middle Aged ; },
abstract = {UNLABELLED: To understand how sample collection affects oral microbiome studies, we evaluated the comparability of unpreserved saliva, saliva in glycerol, and mouthwash samples, their room temperature stability, and intraindividual stability over 6 months. Saliva and mouthwash samples were collected from 20 healthy participants 6 months apart. Saliva was divided, with half preserved in glycerol. Some aliquots were frozen immediately, while others were stored at room temperature for a week. DNA was extracted using the PowerSoil Pro and 16S rRNA gene, and shotgun metagenomic sequencing was conducted. Intraclass correlation coefficients (ICCs) from taxonomic and functional tables were compared to assess variability. We estimated sample size requirements based on the intraindividual stability over 6 months. Saliva in glycerol appeared more similar to unpreserved saliva than mouthwash, with higher median ICCs at genus (0.88 vs 0.60), species (0.92 vs 0.64), and gene levels (0.84 vs 0.36; all P < 0.01). Room temperature storage affected saliva in glycerol more than mouthwash (median genus-level ICC = 0.65). No significant differences were observed at the gene level. Intraindividual stability over 6 months was moderate. To detect an odds ratio of 1.5 with one sample per individual, estimated sample sizes ranged from 665 (common species) to 219,547 (rare species). Oral microbiome stability varies by collection method; mouthwash provides greater room temperature stability and may be preferable when immediate freezing is not feasible. For epidemiological studies, consistent use of a single collection method and inclusion of longitudinal sampling can improve reproducibility and power to detect associations with health outcomes.
IMPORTANCE: The oral microbiome plays a key role in health and disease, yet methodological inconsistencies in sample collection and processing can introduce variability and limit comparability across studies. This study investigates the impact of different oral sample collection methods on microbiome profiling and their stability over time. We demonstrate that sample type significantly influences taxonomic and functional microbiome profiles, with mouthwash showing greater stability during delayed processing and saliva in glycerol more closely resembling fresh saliva. Importantly, intraindividual microbial communities were only moderately stable over 6 months, emphasizing the need for consistent sampling protocols and consideration of temporal variation. These findings have direct implications for microbiome study design, highlighting that methodological choices can affect reproducibility, statistical power, and biological interpretation. Our results support the use of mouthwash as a practical alternative when freezing is delayed and underscore the value of longitudinal sampling for detecting biologically meaningful changes.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Saliva/microbiology
*RNA, Ribosomal, 16S/genetics
*Specimen Handling/methods
*Metagenomics/methods
*Microbiota/genetics
Mouthwashes
Adult
*Mouth/microbiology
Male
Female
*Bacteria/genetics/classification/isolation & purification
DNA, Bacterial/genetics
Young Adult
Glycerol
Middle Aged
RevDate: 2026-02-04
CmpDate: 2026-02-04
Plant-based diets, gut microbiota, blood metabolome, and risk of colorectal, liver, and pancreatic cancers: results from a large prospective cohort study of predominantly low-income Americans.
The American journal of clinical nutrition, 123(2):101135.
BACKGROUND: Plant-based diets have been advertised for environmental and health benefits. Their effects on cancer risk, gut microbial, and blood metabolomic profiles remain unclear.
OBJECTIVES: We investigated plant-based diets in relation to cancer incidence as well as gut microbial composition and blood metabolites in the Southern Community Cohort Study.
METHODS: Included in the analysis were 71,533 participants. Habitual dietary intake assessed at baseline (2002-2009) was used to derive the overall plant-based diet index (PDI), healthy plant-based diet index (hPDI), and unhealthy plant-based diet index (uPDI). Incident cancer cases were ascertained via linkage to state cancer registries and the National Death Index. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated from Cox proportional hazards models after adjusting for potential confounders. We examined associations of the 3 indices with gut microbiota and blood metabolites using fecal metagenomic and blood metabolomic data from 2 subsets of 417 and 1581 participants, respectively.
RESULTS: During a median follow-up time of 11.6 y, 783, 316, and 295 incident colorectal, liver, and pancreatic cancer cases were identified. High hPDI was related to a lower liver cancer risk (HR: 0.67, 95% CI: 0.45, 0.99 comparing extreme quartiles, P-trend = 0.03). No apparent association was observed for colorectal cancer (CRC) in the whole cohort. However, among 49,132 CRC screening-naïve participants at baseline, PDI was inversely associated (HR: 0.74, 95% CI: 0.58, 0.96, P-trend = 0.01), whereas uPDI was positively associated (HR: 1.39, 95% CI: 1.06, 1.82, P-trend = 0.02) with CRC risk. No index was associated with pancreatic cancer. These diet indices were associated with microbial taxa and blood metabolites that have been implicated in the tumorigenesis of the colorectum and liver.
CONCLUSIONS: A diet high in healthy plant foods and low in animal foods was inversely associated with liver cancer risk and with CRC risk among screening-naïve participants. These associations may be partly mediated through gut microbiota and systemic metabolism.
Additional Links: PMID-41391639
Publisher:
PubMed:
Citation:
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@article {pmid41391639,
year = {2026},
author = {Yuan, F and Wang, L and Nguyen, SM and Shu, XO and Shrubsole, MJ and Wen, W and Cai, Q and Yu, D and Zheng, W},
title = {Plant-based diets, gut microbiota, blood metabolome, and risk of colorectal, liver, and pancreatic cancers: results from a large prospective cohort study of predominantly low-income Americans.},
journal = {The American journal of clinical nutrition},
volume = {123},
number = {2},
pages = {101135},
doi = {10.1016/j.ajcnut.2025.101135},
pmid = {41391639},
issn = {1938-3207},
mesh = {Humans ; *Gastrointestinal Microbiome ; Female ; Male ; Middle Aged ; *Pancreatic Neoplasms/epidemiology/blood ; *Diet, Vegetarian ; Prospective Studies ; *Colorectal Neoplasms/epidemiology/blood ; *Liver Neoplasms/epidemiology/blood ; *Metabolome ; Aged ; Adult ; Risk Factors ; Cohort Studies ; Diet, Plant-Based ; },
abstract = {BACKGROUND: Plant-based diets have been advertised for environmental and health benefits. Their effects on cancer risk, gut microbial, and blood metabolomic profiles remain unclear.
OBJECTIVES: We investigated plant-based diets in relation to cancer incidence as well as gut microbial composition and blood metabolites in the Southern Community Cohort Study.
METHODS: Included in the analysis were 71,533 participants. Habitual dietary intake assessed at baseline (2002-2009) was used to derive the overall plant-based diet index (PDI), healthy plant-based diet index (hPDI), and unhealthy plant-based diet index (uPDI). Incident cancer cases were ascertained via linkage to state cancer registries and the National Death Index. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated from Cox proportional hazards models after adjusting for potential confounders. We examined associations of the 3 indices with gut microbiota and blood metabolites using fecal metagenomic and blood metabolomic data from 2 subsets of 417 and 1581 participants, respectively.
RESULTS: During a median follow-up time of 11.6 y, 783, 316, and 295 incident colorectal, liver, and pancreatic cancer cases were identified. High hPDI was related to a lower liver cancer risk (HR: 0.67, 95% CI: 0.45, 0.99 comparing extreme quartiles, P-trend = 0.03). No apparent association was observed for colorectal cancer (CRC) in the whole cohort. However, among 49,132 CRC screening-naïve participants at baseline, PDI was inversely associated (HR: 0.74, 95% CI: 0.58, 0.96, P-trend = 0.01), whereas uPDI was positively associated (HR: 1.39, 95% CI: 1.06, 1.82, P-trend = 0.02) with CRC risk. No index was associated with pancreatic cancer. These diet indices were associated with microbial taxa and blood metabolites that have been implicated in the tumorigenesis of the colorectum and liver.
CONCLUSIONS: A diet high in healthy plant foods and low in animal foods was inversely associated with liver cancer risk and with CRC risk among screening-naïve participants. These associations may be partly mediated through gut microbiota and systemic metabolism.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome
Female
Male
Middle Aged
*Pancreatic Neoplasms/epidemiology/blood
*Diet, Vegetarian
Prospective Studies
*Colorectal Neoplasms/epidemiology/blood
*Liver Neoplasms/epidemiology/blood
*Metabolome
Aged
Adult
Risk Factors
Cohort Studies
Diet, Plant-Based
RevDate: 2026-02-04
CmpDate: 2026-02-04
Gut microbes related to the Dietary Approaches to Stop Hypertension score are associated with bone quantity but not with bone quality in a cross-sectional study of older Puerto Rican adults.
The American journal of clinical nutrition, 123(2):101129.
BACKGROUND: Bone mineral density (BMD) explains fractures incompletely; studies relating lifestyle to bone quality are lacking.
OBJECTIVES: This study aims to examine associations of diet quality with bone measures [bone material strength index (BMSi), trabecular bone score (TBS), BMD], evaluate moderation by inflammation, identify gut microbiome features linked to diet quality, and quantify diet-microbiome-bone relationships.
METHODS: This cross-sectional study included participants from the Boston Puerto Rican Osteoporosis Study. Diet was assessed with a culturally tailored food frequency questionnairew, and diet quality with the Dietary Approaches to Stop Hypertension (DASH) score. BMSi was measured using microindentation; BMD by dual-energy X-ray absorptiometry (DXA); TBS derived from DXA. Inflammation was assessed with a biomarker score (BMS) and tested as a moderator of diet-bone associations via interaction terms in linear regression. Gut microbiome composition (shotgun metagenomics) was analyzed with microbiome multivariate association with linear models regression to assess diet associations. A machine learning algorithm determined dietary, microbial, and bone-related predictors of bone health; sample sizes varied by outcome: BMSi (n = 86); TBS (n = 204); BMD femoral neck (n = 220), total hip (n = 221), lumbar spine (n = 207).
RESULTS: DASH score was not associated with BMSi [β = -0.10; 95% confidence interval (CI): -0.46, 0.27; P = 0.60], TBS (β = 0.002; 95% CI: -0.002, 0.005, P = 0.36), BMD at the femoral neck (β = 0.002; 95% CI: -0.002, 0.005; P = 0.30), or lumbar spine (β = 0.002; 95% CI: -0.003, 0.006, P = 0.52) but was at total hip (β = 0.004; 95% CI: 0.003, 0.008; P = 0.03). The association was not moderated by inflammation (β = -0.0001, P = 0.89). Lachnospira eligens was 1 of 4 taxa positively associated with DASH score and BMD. No microbial pathways were associated with the DASH score.
CONCLUSIONS: DASH score was associated with hip BMD, but not with BMSi or TBS. Select diet-related gut microbes and an inflammation score were associated with BMD. Future studies should examine dietary inflammation in relation to bone quality.
Additional Links: PMID-41317994
PubMed:
Citation:
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@article {pmid41317994,
year = {2026},
author = {Merrill, LC and MartÃnez, RL and Palacios, N and Dawson-Hughes, B and Noel, SE and Wang, Y and Tucker, KL and Mangano, KM},
title = {Gut microbes related to the Dietary Approaches to Stop Hypertension score are associated with bone quantity but not with bone quality in a cross-sectional study of older Puerto Rican adults.},
journal = {The American journal of clinical nutrition},
volume = {123},
number = {2},
pages = {101129},
pmid = {41317994},
issn = {1938-3207},
support = {R01 AG055948/AG/NIA NIH HHS/United States ; R01 AR072741/AR/NIAMS NIH HHS/United States ; RF1 AG075922/AG/NIA NIH HHS/United States ; },
mesh = {Humans ; Female ; Male ; Cross-Sectional Studies ; *Bone Density ; Aged ; *Gastrointestinal Microbiome/physiology ; *Dietary Approaches To Stop Hypertension ; Middle Aged ; Puerto Rico/ethnology ; Diet ; *Bone and Bones/physiology ; Absorptiometry, Photon ; Osteoporosis ; },
abstract = {BACKGROUND: Bone mineral density (BMD) explains fractures incompletely; studies relating lifestyle to bone quality are lacking.
OBJECTIVES: This study aims to examine associations of diet quality with bone measures [bone material strength index (BMSi), trabecular bone score (TBS), BMD], evaluate moderation by inflammation, identify gut microbiome features linked to diet quality, and quantify diet-microbiome-bone relationships.
METHODS: This cross-sectional study included participants from the Boston Puerto Rican Osteoporosis Study. Diet was assessed with a culturally tailored food frequency questionnairew, and diet quality with the Dietary Approaches to Stop Hypertension (DASH) score. BMSi was measured using microindentation; BMD by dual-energy X-ray absorptiometry (DXA); TBS derived from DXA. Inflammation was assessed with a biomarker score (BMS) and tested as a moderator of diet-bone associations via interaction terms in linear regression. Gut microbiome composition (shotgun metagenomics) was analyzed with microbiome multivariate association with linear models regression to assess diet associations. A machine learning algorithm determined dietary, microbial, and bone-related predictors of bone health; sample sizes varied by outcome: BMSi (n = 86); TBS (n = 204); BMD femoral neck (n = 220), total hip (n = 221), lumbar spine (n = 207).
RESULTS: DASH score was not associated with BMSi [β = -0.10; 95% confidence interval (CI): -0.46, 0.27; P = 0.60], TBS (β = 0.002; 95% CI: -0.002, 0.005, P = 0.36), BMD at the femoral neck (β = 0.002; 95% CI: -0.002, 0.005; P = 0.30), or lumbar spine (β = 0.002; 95% CI: -0.003, 0.006, P = 0.52) but was at total hip (β = 0.004; 95% CI: 0.003, 0.008; P = 0.03). The association was not moderated by inflammation (β = -0.0001, P = 0.89). Lachnospira eligens was 1 of 4 taxa positively associated with DASH score and BMD. No microbial pathways were associated with the DASH score.
CONCLUSIONS: DASH score was associated with hip BMD, but not with BMSi or TBS. Select diet-related gut microbes and an inflammation score were associated with BMD. Future studies should examine dietary inflammation in relation to bone quality.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Female
Male
Cross-Sectional Studies
*Bone Density
Aged
*Gastrointestinal Microbiome/physiology
*Dietary Approaches To Stop Hypertension
Middle Aged
Puerto Rico/ethnology
Diet
*Bone and Bones/physiology
Absorptiometry, Photon
Osteoporosis
RevDate: 2026-02-02
CmpDate: 2026-02-02
Understanding the bacteriome, phageome and phage-associated bacteriome in healthy Vietnamese children under two years of age.
Archives of microbiology, 208(4):167.
The establishment of the intestinal microbiota during early life plays an important role in physical and mental development and in shaping disease susceptibility in adult. However, knowledge of the gut microbiota in healthy Vietnamese children remains limited. In this study, real-time PCR was used to detect 24 diarrheal pathogens in stool samples, revealing that 41% of healthy infants aged 6-24 months living in Hanoi, Hung Yen were asymptomatic carriers of Escherichia coli (29.1%), Clostridioides difficile (10.3%) and Sapovirus. Pooled metagenomes of gut bacteria (HMG1, HMG2) and viruses (HV1, HV2) from two groups of pathogen-negative infants aged 6-11 months (n = 17) and 12-24 months (n = 13) were subsequently sequenced. As expected, from the classified reads, HMGs comprised of 99.99% bacterial reads, while HVs comprised of bacteria (78.5% in HV1, 42.3% in HV2), phages (8.3% in HV1, 41.0% in HV2) and viruses. The gut microbiota was formed by core bacteria: Actinobacteria (82.6-84.5%), Firmicutes, Proteobacteria and Bacteroidetes, with abundance of Bifidobacterium (> 80%), phages: Podoviridae (65.5-70.2%), Siphoviridae, Myoviridae with dominant crAssphage. The HMGs and HVs shared core bacterial composition but differed in relative abundance. The gut microbiota of older children was characterized by an increase of probiotic bacteria, Escherichia phage, Lactococcus phage and decrease of bacterial pathogens and phages targeting Lactobacillus, Klebsiella, Acinetobacter. Bacterial genes in the gut phage fraction may reflect bacterial community in recent past. Overall, this study provides a scientific basis for understanding the gut microbiome in relation to health and diseases in children particularly within the Vietnamese population.
Additional Links: PMID-41627460
PubMed:
Citation:
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@article {pmid41627460,
year = {2026},
author = {Do, TH and Dao, TK and Pham, TTN and Nguyen, MH and Nguyen, TQ and To, LA and Nguyen, TVH and Phung, TBT},
title = {Understanding the bacteriome, phageome and phage-associated bacteriome in healthy Vietnamese children under two years of age.},
journal = {Archives of microbiology},
volume = {208},
number = {4},
pages = {167},
pmid = {41627460},
issn = {1432-072X},
support = {DTDLCN.63/22//Ministry of Science and Technology/ ; },
mesh = {Humans ; Infant ; Vietnam ; *Gastrointestinal Microbiome ; Feces/microbiology/virology ; *Bacteria/classification/genetics/isolation & purification/virology ; *Bacteriophages/genetics/isolation & purification/classification ; Child, Preschool ; Male ; Female ; Metagenome ; Diarrhea/microbiology ; Southeast Asian People ; },
abstract = {The establishment of the intestinal microbiota during early life plays an important role in physical and mental development and in shaping disease susceptibility in adult. However, knowledge of the gut microbiota in healthy Vietnamese children remains limited. In this study, real-time PCR was used to detect 24 diarrheal pathogens in stool samples, revealing that 41% of healthy infants aged 6-24 months living in Hanoi, Hung Yen were asymptomatic carriers of Escherichia coli (29.1%), Clostridioides difficile (10.3%) and Sapovirus. Pooled metagenomes of gut bacteria (HMG1, HMG2) and viruses (HV1, HV2) from two groups of pathogen-negative infants aged 6-11 months (n = 17) and 12-24 months (n = 13) were subsequently sequenced. As expected, from the classified reads, HMGs comprised of 99.99% bacterial reads, while HVs comprised of bacteria (78.5% in HV1, 42.3% in HV2), phages (8.3% in HV1, 41.0% in HV2) and viruses. The gut microbiota was formed by core bacteria: Actinobacteria (82.6-84.5%), Firmicutes, Proteobacteria and Bacteroidetes, with abundance of Bifidobacterium (> 80%), phages: Podoviridae (65.5-70.2%), Siphoviridae, Myoviridae with dominant crAssphage. The HMGs and HVs shared core bacterial composition but differed in relative abundance. The gut microbiota of older children was characterized by an increase of probiotic bacteria, Escherichia phage, Lactococcus phage and decrease of bacterial pathogens and phages targeting Lactobacillus, Klebsiella, Acinetobacter. Bacterial genes in the gut phage fraction may reflect bacterial community in recent past. Overall, this study provides a scientific basis for understanding the gut microbiome in relation to health and diseases in children particularly within the Vietnamese population.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Infant
Vietnam
*Gastrointestinal Microbiome
Feces/microbiology/virology
*Bacteria/classification/genetics/isolation & purification/virology
*Bacteriophages/genetics/isolation & purification/classification
Child, Preschool
Male
Female
Metagenome
Diarrhea/microbiology
Southeast Asian People
RevDate: 2026-02-03
CmpDate: 2026-02-03
Post-defecation exposure alters gut microbiota of forest musk deer with implications for conservation metagenomics.
Applied microbiology and biotechnology, 110(1):53.
In endangered species conservation, fecal samples are a vital non-invasive tool for gut microbiota analysis. Yet, the influence of external exposure time on microbial composition and function remains unclear, constraining data accuracy and reliability. To address this, we investigated the time-gradient effect in the globally endangered forest musk deer (Moschus berezovskii). Using non-invasive sampling under standardized captive conditions, fecal samples were collected at six storage times: (0, 1, 2, 4, 6, 8 days). Gut microbiota composition, diversity, enterotypes, and functional differences were assessed through 16S rRNA gene sequencing on the Illumina MiSeq platform. In total, 147,013 valid ASVs (amplicon sequence variants) were obtained showing significant shifts in microbial composition with storage time. Dominant phyla included Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria. Increasing storage time led to declining α-diversity, reduced community stability, and more unique genera. PCoA (principal coordinates analysis) and NMDS (non-metric multidimensional scaling) indicated progressive separation of experimental groups from control groups, with Anosim and Adonis confirming progressive separation with storage time. Structurally, Firmicutes decreased while Proteobacteria, specifically the Acinetobacter genus, increased with storage time. Community assembly shifted from deterministic to stochastic processes, reflecting stronger environmental disturbance effects. These results demonstrate that the gut microbiota composition, diversity, and ecological functions in forest musk deer feces are highly sensitive to storage time. Thus, preservation duration must be strictly controlled as a critical variable in microbiome studies. This work establishes methodological standards for non-invasive fecal metagenomics in endangered species, providing theoretical insights and practical guidance for improving scientific rigor in conservation-related microbiome research. KEY POINTS: Fecal microbiota diversity and stability decline significantly with longer storage. Firmicutes decrease while Proteobacteria, especially Acinetobacter, increase over time. Storage duration strongly impacts microbiome data, requiring strict sampling control.
Additional Links: PMID-41627458
PubMed:
Citation:
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@article {pmid41627458,
year = {2026},
author = {Jiang, F and Gu, H and Song, P and Zhang, J and Cai, Z and Liang, C and Gao, H and Zhang, R and Zhang, T},
title = {Post-defecation exposure alters gut microbiota of forest musk deer with implications for conservation metagenomics.},
journal = {Applied microbiology and biotechnology},
volume = {110},
number = {1},
pages = {53},
pmid = {41627458},
issn = {1432-0614},
support = {32200408//National Natural Science Foundation of China/ ; 2023-ZJ-952Q//Natural Science Foundation of Qinghai Province/ ; 2023M743743//China Postdoctoral Science Foundation/ ; },
mesh = {Animals ; *Deer/microbiology ; *Gastrointestinal Microbiome/genetics ; Feces/microbiology ; *Metagenomics ; RNA, Ribosomal, 16S/genetics ; *Bacteria/classification/genetics/isolation & purification ; Forests ; DNA, Bacterial/genetics ; Endangered Species ; Conservation of Natural Resources ; Time Factors ; Sequence Analysis, DNA ; },
abstract = {In endangered species conservation, fecal samples are a vital non-invasive tool for gut microbiota analysis. Yet, the influence of external exposure time on microbial composition and function remains unclear, constraining data accuracy and reliability. To address this, we investigated the time-gradient effect in the globally endangered forest musk deer (Moschus berezovskii). Using non-invasive sampling under standardized captive conditions, fecal samples were collected at six storage times: (0, 1, 2, 4, 6, 8 days). Gut microbiota composition, diversity, enterotypes, and functional differences were assessed through 16S rRNA gene sequencing on the Illumina MiSeq platform. In total, 147,013 valid ASVs (amplicon sequence variants) were obtained showing significant shifts in microbial composition with storage time. Dominant phyla included Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria. Increasing storage time led to declining α-diversity, reduced community stability, and more unique genera. PCoA (principal coordinates analysis) and NMDS (non-metric multidimensional scaling) indicated progressive separation of experimental groups from control groups, with Anosim and Adonis confirming progressive separation with storage time. Structurally, Firmicutes decreased while Proteobacteria, specifically the Acinetobacter genus, increased with storage time. Community assembly shifted from deterministic to stochastic processes, reflecting stronger environmental disturbance effects. These results demonstrate that the gut microbiota composition, diversity, and ecological functions in forest musk deer feces are highly sensitive to storage time. Thus, preservation duration must be strictly controlled as a critical variable in microbiome studies. This work establishes methodological standards for non-invasive fecal metagenomics in endangered species, providing theoretical insights and practical guidance for improving scientific rigor in conservation-related microbiome research. KEY POINTS: Fecal microbiota diversity and stability decline significantly with longer storage. Firmicutes decrease while Proteobacteria, especially Acinetobacter, increase over time. Storage duration strongly impacts microbiome data, requiring strict sampling control.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Deer/microbiology
*Gastrointestinal Microbiome/genetics
Feces/microbiology
*Metagenomics
RNA, Ribosomal, 16S/genetics
*Bacteria/classification/genetics/isolation & purification
Forests
DNA, Bacterial/genetics
Endangered Species
Conservation of Natural Resources
Time Factors
Sequence Analysis, DNA
RevDate: 2026-02-02
CmpDate: 2026-02-02
The chromosomal genome sequence of the sponge Phakellia ventilabrum (Linnaeus, 1767) and its associated microbial metagenome sequences.
Wellcome open research, 11:15.
We present a genome assembly from a specimen of Phakellia ventilabrum (Porifera; Demospongiae; Bubarida; Bubaridae). The genome sequence has a total length of 211.92 megabases. Most of the assembly (99.97%) is scaffolded into 25 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 24.36 kilobases in length. Gene annotation of this assembly by Ensembl identified 21 622 protein-coding genes. Thirty-three binned genomes were generated from the metagenome assembly, of which eight were classified as high-quality metagenome assembled genomes (MAGs) and of which four of the MAGs are fully circular. The MAGs were taxonomically assigned to Pseudomonadota (i.e. Candidatus Poriferihabitaceae), Nitrospirota, Nitrospinota, and the archaeal Nitrosopumilus clade.
Additional Links: PMID-41625985
PubMed:
Citation:
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@article {pmid41625985,
year = {2026},
author = {Taboada, S and Riesgo, A and Busch, K and Erpenbeck, D and Hentschel, U and Galià , C and Oatley, G and Sinclair, E and Aunin, E and Gettle, N and Santos, C and Paulini, M and Niu, H and McKenna, V and O'Brien, R and , and , and , and , and , },
title = {The chromosomal genome sequence of the sponge Phakellia ventilabrum (Linnaeus, 1767) and its associated microbial metagenome sequences.},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {15},
pmid = {41625985},
issn = {2398-502X},
abstract = {We present a genome assembly from a specimen of Phakellia ventilabrum (Porifera; Demospongiae; Bubarida; Bubaridae). The genome sequence has a total length of 211.92 megabases. Most of the assembly (99.97%) is scaffolded into 25 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 24.36 kilobases in length. Gene annotation of this assembly by Ensembl identified 21 622 protein-coding genes. Thirty-three binned genomes were generated from the metagenome assembly, of which eight were classified as high-quality metagenome assembled genomes (MAGs) and of which four of the MAGs are fully circular. The MAGs were taxonomically assigned to Pseudomonadota (i.e. Candidatus Poriferihabitaceae), Nitrospirota, Nitrospinota, and the archaeal Nitrosopumilus clade.},
}
RevDate: 2026-02-02
CmpDate: 2026-02-02
Next release of the European Marine Omics Biodiversity Observation Network (EMO BON) shotgun metagenomic data from water and sediment samples (Release 2).
Biodiversity data journal, 14:e178484.
The European Marine Omics Biodiversity Observation Network (EMO BON) is a long-term genomic observatory run by the European Research Infrastructure European Marine Biological Resource Centre (EMBRC). It was established in 2021 to support the challenges of biodiversity observation and unsystematic management of biodiversity data in the European seas. EMO BON introduced and coordinated the systematic and harmonised observation of biodiversity amongst more than fourteen marine stations in the European coastline. Here, we report the next release (Release 2) of shotgun metagenomic data from seawater and sediment microbial communities.
Additional Links: PMID-41624426
PubMed:
Citation:
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@article {pmid41624426,
year = {2026},
author = {Santi, I and Pavloudi, C and Abagnale, M and Azua, I and Baña, Z and Bastianini, M and Belser, C and Berg, K and Bilbao, J and Bird, K and Broudin, C and Camusat, M and Cancio, I and Caray-Counil, L and Casotti, R and Castel, J and Comtet, T and Cox, CJ and Cunliffe, M and Daguin, C and Deneudt, K and DÃaz de Cerio, O and Exter, K and Fauvelot, C and Fontana, Y and Frada, MJ and Galand, PE and Gallia, R and Garczarek, L and González Fernández, J and Guillou, L and Heynderickx, H and Koplovitz, G and Labrune, C and Lagaisse, R and Laroquette, A and Lescure, L and Lopes, E and Loulakaki, M and Louro, B and Magalhães, C and Margiotta, F and Moal, H and Moussy, A and Not, F and Percopo, I and Paredes Rosendo, E and Péru, E and Poulain, J and Praebel, K and Rigaut-Jalabert, F and Romac, S and Rzeznik-Orignac, J and Sarno, D and Souza Troncoso, J and Thiébaut, E and Thomas, W and Tkacz, A and Tramontano, F and Trano, AC and Wincker, P and Pade, N},
title = {Next release of the European Marine Omics Biodiversity Observation Network (EMO BON) shotgun metagenomic data from water and sediment samples (Release 2).},
journal = {Biodiversity data journal},
volume = {14},
number = {},
pages = {e178484},
pmid = {41624426},
issn = {1314-2828},
abstract = {The European Marine Omics Biodiversity Observation Network (EMO BON) is a long-term genomic observatory run by the European Research Infrastructure European Marine Biological Resource Centre (EMBRC). It was established in 2021 to support the challenges of biodiversity observation and unsystematic management of biodiversity data in the European seas. EMO BON introduced and coordinated the systematic and harmonised observation of biodiversity amongst more than fourteen marine stations in the European coastline. Here, we report the next release (Release 2) of shotgun metagenomic data from seawater and sediment microbial communities.},
}
RevDate: 2026-02-03
CmpDate: 2026-02-03
Dysbiotic shift in the oral microbiota of patients with Alzheimer's disease compared to their healthy life partners-a combinatorial approach and a paired study design.
Alzheimer's research & therapy, 18(1):23.
BACKGROUND: The oral microbiota has been associated with Alzheimer's disease (AD). However, earlier studies provided conflicting results using varying sampling methods, sequencing techniques, and statistics, as well as independent subjects.
METHODS: To robustly identify disease-associated microbial features, we recruited patients and their healthy life partners from the same households sharing a more similar microbiota compared to independent individuals increasing statistical power via paired design and combined three different sequencing methods - including metagenomics-and several bioinformatic pipelines. We recruited 26 AD-patients and their life partners. Salivary and supragingival samples were collected and a clinical examination of the mouth was performed.
RESULTS: Both groups showed comparable oral health. By focusing primarily on recurrently identified species across the different datasets we were able to identify a Core dysbiosis. This Core dysbiosis surprisingly spares the most central of oral diseases pathogens, namely Porphyromonas gingivalis. However, it includes numerous other species commonly associated with oral pathologies such as Prevotella nigrescens, Streptococcus anginosus, Dialister invisus, Anaeroglobus geminatus, Olsenella uli and Mogibacterium timidum. In contrast, more host-compatible species such as Prevotella melaninogenica or Streptococcus parasanguinis are identified in controls.
CONCLUSIONS: This is the first study using a combined sequencing approach and a paired study design to identify robust features of the oral microbiota of AD-patients. Although promising, the results should nevertheless be interpreted with caution, as the cross-sectional study design limits the possibilities of interpretation, and larger, longitudinal data are necessary for causal conclusions. However, this combined approach on multiple processing levels to identify intra-partnership differences still offers the possibility to better identify disease-associated microbial features potentially involved in AD-pathogenesis.
TRIAL REGISTRATION: This study was prospectively registered at the German Clinical Trials Register (DRKS00023456) at the 30th of November 2020.
Additional Links: PMID-41527012
PubMed:
Citation:
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@article {pmid41527012,
year = {2026},
author = {Weber, C and Wind, D and Petzsch, P and Supprian, T and Dilthey, A and Christl, J and Finzer, P},
title = {Dysbiotic shift in the oral microbiota of patients with Alzheimer's disease compared to their healthy life partners-a combinatorial approach and a paired study design.},
journal = {Alzheimer's research & therapy},
volume = {18},
number = {1},
pages = {23},
pmid = {41527012},
issn = {1758-9193},
mesh = {Humans ; *Alzheimer Disease/microbiology ; Male ; Female ; Aged ; *Microbiota ; *Dysbiosis/microbiology ; *Mouth/microbiology ; Aged, 80 and over ; Middle Aged ; Saliva/microbiology ; },
abstract = {BACKGROUND: The oral microbiota has been associated with Alzheimer's disease (AD). However, earlier studies provided conflicting results using varying sampling methods, sequencing techniques, and statistics, as well as independent subjects.
METHODS: To robustly identify disease-associated microbial features, we recruited patients and their healthy life partners from the same households sharing a more similar microbiota compared to independent individuals increasing statistical power via paired design and combined three different sequencing methods - including metagenomics-and several bioinformatic pipelines. We recruited 26 AD-patients and their life partners. Salivary and supragingival samples were collected and a clinical examination of the mouth was performed.
RESULTS: Both groups showed comparable oral health. By focusing primarily on recurrently identified species across the different datasets we were able to identify a Core dysbiosis. This Core dysbiosis surprisingly spares the most central of oral diseases pathogens, namely Porphyromonas gingivalis. However, it includes numerous other species commonly associated with oral pathologies such as Prevotella nigrescens, Streptococcus anginosus, Dialister invisus, Anaeroglobus geminatus, Olsenella uli and Mogibacterium timidum. In contrast, more host-compatible species such as Prevotella melaninogenica or Streptococcus parasanguinis are identified in controls.
CONCLUSIONS: This is the first study using a combined sequencing approach and a paired study design to identify robust features of the oral microbiota of AD-patients. Although promising, the results should nevertheless be interpreted with caution, as the cross-sectional study design limits the possibilities of interpretation, and larger, longitudinal data are necessary for causal conclusions. However, this combined approach on multiple processing levels to identify intra-partnership differences still offers the possibility to better identify disease-associated microbial features potentially involved in AD-pathogenesis.
TRIAL REGISTRATION: This study was prospectively registered at the German Clinical Trials Register (DRKS00023456) at the 30th of November 2020.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Alzheimer Disease/microbiology
Male
Female
Aged
*Microbiota
*Dysbiosis/microbiology
*Mouth/microbiology
Aged, 80 and over
Middle Aged
Saliva/microbiology
RevDate: 2026-02-03
CmpDate: 2026-02-03
Gut microbial signatures in schizophrenia: exploring archaea, fungi, and bacteria.
BMC psychiatry, 26(1):113.
BACKGROUND: Gut microbial, mainly bacterial dysbiosis, has been demonstrated in patients with schizophrenia (SCH). However, the signatures and differences of minority gut microbiota in SCH, such as archaea and fungi, have been poorly addressed.
METHODS: We obtained stool samples from 61 SCH patients and 69 healthy controls (HC), and analyzed the compositional and functional alterations of gut archaea, fungi, and bacteria using metagenomic shotgun sequencing (MSS). Additionally, we developed potential biomarkers to distinguish SCH from HC.
RESULTS: SCH patients showed significantly lower archaeal α-diversity compared with that of HC. Whereas there were significant differences between SCH and HC in β-diversity at the species level of archaea, fungi and bacteria. Meanwhile, the functional differences between the two groups were concentrated in glucose, lipid and amino acid metabolic pathways. Furthermore, we established potential diagnostic archaeal (9 species, AUC = 0.73), fungal (8 species, AUC = 0.69), and bacterial (22 species, AUC = 0.74) microbiomes for differentiating SCH patients from HC.
CONCLUSIONS: This study describes a more comprehensive understanding of abnormal gut microbiome in SCH and might provide candidate targets for the development of a microbe-based diagnosis for SCH.
TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR2000032118, registration date: 2020/04/20.
Additional Links: PMID-41484966
PubMed:
Citation:
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@article {pmid41484966,
year = {2026},
author = {Fu, R and Liang, XJ and Yang, WM and Li, R and Shi, YR and Guo, L and Yu, H and Chen, YH and Wang, HN},
title = {Gut microbial signatures in schizophrenia: exploring archaea, fungi, and bacteria.},
journal = {BMC psychiatry},
volume = {26},
number = {1},
pages = {113},
pmid = {41484966},
issn = {1471-244X},
support = {LHJJ24YF06//Interdisciplinary Integration Project of Xijing hospital/ ; 82201679//National Natural Science Foundation of China/ ; 82330043//National Natural Science Foundation of China/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome ; Male ; Female ; Adult ; *Schizophrenia/microbiology ; *Archaea/genetics/isolation & purification ; *Bacteria/genetics/isolation & purification/classification ; *Fungi/genetics/isolation & purification ; *Dysbiosis/microbiology ; Feces/microbiology ; Middle Aged ; Case-Control Studies ; },
abstract = {BACKGROUND: Gut microbial, mainly bacterial dysbiosis, has been demonstrated in patients with schizophrenia (SCH). However, the signatures and differences of minority gut microbiota in SCH, such as archaea and fungi, have been poorly addressed.
METHODS: We obtained stool samples from 61 SCH patients and 69 healthy controls (HC), and analyzed the compositional and functional alterations of gut archaea, fungi, and bacteria using metagenomic shotgun sequencing (MSS). Additionally, we developed potential biomarkers to distinguish SCH from HC.
RESULTS: SCH patients showed significantly lower archaeal α-diversity compared with that of HC. Whereas there were significant differences between SCH and HC in β-diversity at the species level of archaea, fungi and bacteria. Meanwhile, the functional differences between the two groups were concentrated in glucose, lipid and amino acid metabolic pathways. Furthermore, we established potential diagnostic archaeal (9 species, AUC = 0.73), fungal (8 species, AUC = 0.69), and bacterial (22 species, AUC = 0.74) microbiomes for differentiating SCH patients from HC.
CONCLUSIONS: This study describes a more comprehensive understanding of abnormal gut microbiome in SCH and might provide candidate targets for the development of a microbe-based diagnosis for SCH.
TRIAL REGISTRATION: Chinese Clinical Trial Registry: ChiCTR2000032118, registration date: 2020/04/20.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome
Male
Female
Adult
*Schizophrenia/microbiology
*Archaea/genetics/isolation & purification
*Bacteria/genetics/isolation & purification/classification
*Fungi/genetics/isolation & purification
*Dysbiosis/microbiology
Feces/microbiology
Middle Aged
Case-Control Studies
RevDate: 2026-02-03
CmpDate: 2026-02-03
Antibiotic contamination and antimicrobial resistance dynamics in the urban sewage microbiome in India.
Nature communications, 17(1):1274.
The emergence and spread of antimicrobial resistance (AMR) in clinically important bacterial pathogens has severely compromised the effectiveness of commonly used antibiotics in healthcare. Acquisition and transmission of AMR genes (ARGs) are often facilitated by sublethal concentrations of antibiotics in microbially dense environments. In this study, we use sewage samples (n = 381) collected from six Indian states between June and December 2023 to assess the concentration of eleven antibiotics, microbial diversity, and ARG richness. We find antibiotics from seven drug classes and detect over 2000 bacterial amplicon sequence variants (ASVs). Metagenomic (n = 220) and isolated genome sequences (n = 305) of aerobic and anaerobic bacterial species identify 82 ARGs associated with 80 mobile genetic elements (MGEs). These MGEs are predominantly present in multidrug-resistant (MDR) bacterial pathogens. Comparative core genome analysis of MDR bacterial isolates (n = 7166) shows strong genetic similarity between sewage-derived strains and clinical pathogens. Our results highlight sewage as a significant reservoir for ARGs, where genetic exchanges occur and facilitate the evolution and spread of AMR pathogens in both community and healthcare settings. Additionally, the dipstick-based assay developed for ARGs detection can be used for sewage surveillance in low-resource settings for better understanding of resistance prevalence.
Additional Links: PMID-41457176
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@article {pmid41457176,
year = {2025},
author = {Paul, D and Talukdar, D and Kapuganti, RS and Gupta, V and Narendrakumar, L and Jana, P and Kumar, P and Singh, J and Kumari, S and Basak, C and Kamboj, K and Bakshi, S and Lal, S and Tanwar, S and Kumar, R and Babele, P and Bajpai, M and Kumar, Y and Mutreja, A and Mandal, S and Wadhwa, N and Banerjee, SK and Das, B},
title = {Antibiotic contamination and antimicrobial resistance dynamics in the urban sewage microbiome in India.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {1274},
pmid = {41457176},
issn = {2041-1723},
support = {RAD/22017/19/2022-KGD-DBT//Department of Biotechnology, Ministry of Science and Technology (DBT)/ ; GCI-13012/2/2025-GCl//Department of Biotechnology, Ministry of Science and Technology (DBT)/ ; },
mesh = {*Sewage/microbiology ; India ; *Anti-Bacterial Agents/pharmacology/analysis ; *Microbiota/genetics/drug effects ; *Bacteria/genetics/drug effects/isolation & purification/classification ; Drug Resistance, Multiple, Bacterial/genetics ; *Drug Resistance, Bacterial/genetics ; Metagenomics ; Humans ; Interspersed Repetitive Sequences/genetics ; Cities ; Microbial Sensitivity Tests ; },
abstract = {The emergence and spread of antimicrobial resistance (AMR) in clinically important bacterial pathogens has severely compromised the effectiveness of commonly used antibiotics in healthcare. Acquisition and transmission of AMR genes (ARGs) are often facilitated by sublethal concentrations of antibiotics in microbially dense environments. In this study, we use sewage samples (n = 381) collected from six Indian states between June and December 2023 to assess the concentration of eleven antibiotics, microbial diversity, and ARG richness. We find antibiotics from seven drug classes and detect over 2000 bacterial amplicon sequence variants (ASVs). Metagenomic (n = 220) and isolated genome sequences (n = 305) of aerobic and anaerobic bacterial species identify 82 ARGs associated with 80 mobile genetic elements (MGEs). These MGEs are predominantly present in multidrug-resistant (MDR) bacterial pathogens. Comparative core genome analysis of MDR bacterial isolates (n = 7166) shows strong genetic similarity between sewage-derived strains and clinical pathogens. Our results highlight sewage as a significant reservoir for ARGs, where genetic exchanges occur and facilitate the evolution and spread of AMR pathogens in both community and healthcare settings. Additionally, the dipstick-based assay developed for ARGs detection can be used for sewage surveillance in low-resource settings for better understanding of resistance prevalence.},
}
MeSH Terms:
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hide MeSH Terms
*Sewage/microbiology
India
*Anti-Bacterial Agents/pharmacology/analysis
*Microbiota/genetics/drug effects
*Bacteria/genetics/drug effects/isolation & purification/classification
Drug Resistance, Multiple, Bacterial/genetics
*Drug Resistance, Bacterial/genetics
Metagenomics
Humans
Interspersed Repetitive Sequences/genetics
Cities
Microbial Sensitivity Tests
RevDate: 2026-02-03
CmpDate: 2026-02-03
Multi-omics analysis identifies a microbiota-bile acid-TLR signaling axis driving bladder injury in interstitial cystitis.
Nature communications, 17(1):1299.
Hunner-type interstitial cystitis/bladder pain syndrome (HIC) is a debilitating condition defined by bladder pain and urinary urgency, yet its upstream drivers remain poorly understood. To identify upstream mechanisms that exacerbate urothelial injury, here we apply an integrative multi-omics framework combining metagenomic sequencing, targeted metabolomics of urine and serum, and single-cell RNA sequencing. This approach reveals a microbial signature enriched in Enterococcus avium and a marked alteration in bile acid metabolism, including increased taurochenodeoxycholic acid (TCDCA). Single-cell analysis indicates that these changes converge on Toll-like receptor 3 (TLR3) activation in urothelial cells. Further validations show that a microbiota-bile acid-TLR3 axis disrupts epithelial barrier integrity and triggers inflammatory responses in experimental models. Transplantation and metabolite administration confirm the causal role of E. avium and TCDCA, while TLR3 inhibition ameliorates injury. These findings uncover an upstream pathway linking gut-derived metabolites to bladder pathology and suggest opportunities for biomarker development and targeted therapies for HIC.
Additional Links: PMID-41457077
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Citation:
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@article {pmid41457077,
year = {2025},
author = {Peng, L and Chen, JW and Chen, YZ and Di, XP and Lin, LD and Li, BY and Zhang, C and Wang, W and Gao, XS and Ma, YC and Shen, SH and Li, HR and Xu, XF and Zeng, X and Shen, H and Sun, Q and Jin, T and Luo, DY},
title = {Multi-omics analysis identifies a microbiota-bile acid-TLR signaling axis driving bladder injury in interstitial cystitis.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {1299},
pmid = {41457077},
issn = {2041-1723},
support = {82422015//National Natural Science Foundation of China (National Science Foundation of China)/ ; 82270720//National Natural Science Foundation of China (National Science Foundation of China)/ ; 82400904//National Natural Science Foundation of China (National Science Foundation of China)/ ; 82500827//National Natural Science Foundation of China (National Science Foundation of China)/ ; 2024M752250//China Postdoctoral Science Foundation/ ; 2025T180613//China Postdoctoral Science Foundation/ ; },
mesh = {*Cystitis, Interstitial/microbiology/metabolism/pathology ; Animals ; *Toll-Like Receptor 3/metabolism/genetics ; *Urinary Bladder/pathology/metabolism/microbiology/injuries ; Signal Transduction ; Humans ; Mice ; *Bile Acids and Salts/metabolism ; Female ; Urothelium/metabolism/pathology ; Metabolomics/methods ; *Microbiota ; Single-Cell Analysis ; Mice, Inbred C57BL ; Male ; Multiomics ; },
abstract = {Hunner-type interstitial cystitis/bladder pain syndrome (HIC) is a debilitating condition defined by bladder pain and urinary urgency, yet its upstream drivers remain poorly understood. To identify upstream mechanisms that exacerbate urothelial injury, here we apply an integrative multi-omics framework combining metagenomic sequencing, targeted metabolomics of urine and serum, and single-cell RNA sequencing. This approach reveals a microbial signature enriched in Enterococcus avium and a marked alteration in bile acid metabolism, including increased taurochenodeoxycholic acid (TCDCA). Single-cell analysis indicates that these changes converge on Toll-like receptor 3 (TLR3) activation in urothelial cells. Further validations show that a microbiota-bile acid-TLR3 axis disrupts epithelial barrier integrity and triggers inflammatory responses in experimental models. Transplantation and metabolite administration confirm the causal role of E. avium and TCDCA, while TLR3 inhibition ameliorates injury. These findings uncover an upstream pathway linking gut-derived metabolites to bladder pathology and suggest opportunities for biomarker development and targeted therapies for HIC.},
}
MeSH Terms:
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hide MeSH Terms
*Cystitis, Interstitial/microbiology/metabolism/pathology
Animals
*Toll-Like Receptor 3/metabolism/genetics
*Urinary Bladder/pathology/metabolism/microbiology/injuries
Signal Transduction
Humans
Mice
*Bile Acids and Salts/metabolism
Female
Urothelium/metabolism/pathology
Metabolomics/methods
*Microbiota
Single-Cell Analysis
Mice, Inbred C57BL
Male
Multiomics
RevDate: 2026-02-03
CmpDate: 2026-02-03
Multi-Omics Reveal the Dysregulated Gut-Joint Axis in Knee Synovitis: Data from Two Osteoarthritis Studies in China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany), 13(7):e12020.
Gut microbiota dysbiosis and associated host immuno-metabolic disorders may play a role in knee synovitis. Herein, integrated multi-omics analyses of stool and blood samples from subjects from Pearl River Osteoarthritis Cohort (PROC, N = 207) are conducted to explore the potential gut-joint axis. Specifically, gut metagenomics, serum metabolomics and plasma proteomics are carried out. Knee synovitis is identified by magnetic resonance imaging. A total of 87 synovitis cases are identified in PROC, which are characterized by increased Firmicutes/Bacteroidetes (F/B) ratio. Alterations in microbial functions of both leucine and geraniol degradation are closely associated with increased serum 3-hydroxyisovaleric acid and decreased geranic acid. These perturbations are significantly correlated with F/B ratio and down-regulated plasma TWEAK. Building upon these, the potential synovial targets are explored using a synovial single-cell dataset and the Nanjing Osteoarthritis Cohort (NOC, N = 22). Synovial fluid proteomics, histological analysis, and in vitro experiments with human fibroblast-like synoviocytes (FLS) are conducted for NOC subjects with different synovitis grades. An upregulated TWEAK receptor is found in higher grade of synovitis. In vitro, higher TWEAK induced down-regulated TWEAK receptor in FLS. The study for the first time revealed the gut-joint axis in knee synovitis, providing new insight into potential targets for synovitis treatment.
Additional Links: PMID-41354462
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@article {pmid41354462,
year = {2026},
author = {Wang, X and Liu, Y and Sun, Z and Li, J and Lu, Z and Huang, J and Hu, S and Cao, P and Cao, X and Li, S and Ruan, J and Liu, J and Xie, J and Sun, H and Chen, T and Li, S and Zhu, Z and Wen, Z and Tuan, RS and Hunter, DJ and Li, ZA and Shi, D and Ding, C},
title = {Multi-Omics Reveal the Dysregulated Gut-Joint Axis in Knee Synovitis: Data from Two Osteoarthritis Studies in China.},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
volume = {13},
number = {7},
pages = {e12020},
pmid = {41354462},
issn = {2198-3844},
support = {2023YFE0209700//National Key Research and Development Program of China/ ; GZC20231059//Postdoctoral Fellowship Program of CPSF/ ; 2024M761326//China Postdoctoral Science Foundation/ ; 2023A1515110748//Guangdong Basic and Applied Basic Research Foundation/ ; 2024A1515011794//Guangdong Basic and Applied Basic Research Foundation/ ; 82373653//National Science Foundation of China/ ; 82572825//National Science Foundation of China/ ; 2024A04J5169//Science and Technology Projects in Guangzhou/ ; A2401031//Shenzhen Medical Research Funds/ ; 1194737//Arthritis Australia and an NHMRC Investigator Grant Leadership 2/ ; 82325035//National Natural Science Foundation of China for Distinguished Young Scholars/ ; 82530083//Key Project of the National Science Foundation of China/ ; },
mesh = {Humans ; China ; *Synovitis/metabolism/microbiology ; *Gastrointestinal Microbiome/physiology/genetics ; Male ; Female ; *Osteoarthritis, Knee/metabolism/microbiology ; Middle Aged ; Proteomics/methods ; *Knee Joint/metabolism/pathology ; Aged ; Metabolomics/methods ; Dysbiosis/metabolism ; Synovial Fluid/metabolism ; Multiomics ; },
abstract = {Gut microbiota dysbiosis and associated host immuno-metabolic disorders may play a role in knee synovitis. Herein, integrated multi-omics analyses of stool and blood samples from subjects from Pearl River Osteoarthritis Cohort (PROC, N = 207) are conducted to explore the potential gut-joint axis. Specifically, gut metagenomics, serum metabolomics and plasma proteomics are carried out. Knee synovitis is identified by magnetic resonance imaging. A total of 87 synovitis cases are identified in PROC, which are characterized by increased Firmicutes/Bacteroidetes (F/B) ratio. Alterations in microbial functions of both leucine and geraniol degradation are closely associated with increased serum 3-hydroxyisovaleric acid and decreased geranic acid. These perturbations are significantly correlated with F/B ratio and down-regulated plasma TWEAK. Building upon these, the potential synovial targets are explored using a synovial single-cell dataset and the Nanjing Osteoarthritis Cohort (NOC, N = 22). Synovial fluid proteomics, histological analysis, and in vitro experiments with human fibroblast-like synoviocytes (FLS) are conducted for NOC subjects with different synovitis grades. An upregulated TWEAK receptor is found in higher grade of synovitis. In vitro, higher TWEAK induced down-regulated TWEAK receptor in FLS. The study for the first time revealed the gut-joint axis in knee synovitis, providing new insight into potential targets for synovitis treatment.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
China
*Synovitis/metabolism/microbiology
*Gastrointestinal Microbiome/physiology/genetics
Male
Female
*Osteoarthritis, Knee/metabolism/microbiology
Middle Aged
Proteomics/methods
*Knee Joint/metabolism/pathology
Aged
Metabolomics/methods
Dysbiosis/metabolism
Synovial Fluid/metabolism
Multiomics
RevDate: 2026-01-31
Two worlds beneath: Distinct microbial strategies of the rock-attached and planktonic subsurface biosphere.
Microbiome pii:10.1186/s40168-025-02325-1 [Epub ahead of print].
BACKGROUND: Microorganisms in groundwater ecosystems exist either as planktonic cells or as attached communities on aquifer rock surfaces. Attached cells outnumber planktonic ones by at least three orders of magnitude, suggesting a critical role in aquifer ecosystem function. However, particularly in consolidated carbonate aquifers, where research has predominantly focused on planktonic microbes, the metabolic potential and ecological roles of attached communities remain poorly understood.
RESULTS: To investigate the differences between attached and planktonic communities, we sampled the attached microbiome from passive samplers filled with crushed carbonate rock exposed to oxic and anoxic groundwater in the Hainich Critical Zone Exploratory and compared it to a previously published, extensive dataset of planktonic communities from the same aquifer ecosystem. Microbial lifestyle (attached vs. planktonic) explained more variance in community composition than redox conditions, prompting us to further investigate its role in shaping functional and activity profiles. Metagenomic analysis revealed a striking taxonomic and functional segregation: the 605 metagenome-assembled genomes (MAGs) from attached communities were dominated by Proteobacteria (358 MAGs) and were enriched in genes for biofilm formation, chemolithoautotrophy, and redox cycling (e.g., iron and sulfur metabolism). In contrast, the 891 MAGs from planktonic communities were dominated by Cand. Patescibacteria (464 MAGs) and Nitrospirota (60 MAGs) and showed lower functional versatility. Only a few genera were shared, and even closely related MAGs (> 90% average nucleotide identity) differed in assembly size and metabolic traits, demonstrating lifestyle-specific functional adaptation. Analysis of active replication indicated that the active fraction of the attached community was primarily represented by the most abundant MAGs. Planktonic communities featured a higher fraction of active MAGs compared to attached communities, but overall with lower relative abundances.
CONCLUSIONS: The high abundance, metabolic specialization, and carbon fixation potential of attached microbes suggest that they are key drivers of subsurface biogeochemical processes. Carbonate aquifers may act as much larger inorganic carbon sinks than previously estimated based on CO2 fixation rates of the planktonic communities alone. Our findings underscore the need to incorporate attached microbial communities into models of subsurface ecosystem function. Video Abstract.
Additional Links: PMID-41620752
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@article {pmid41620752,
year = {2026},
author = {Sharma, A and Küsel, K and Wegner, CE and Pérez-Carrascal, OM and Taubert, M},
title = {Two worlds beneath: Distinct microbial strategies of the rock-attached and planktonic subsurface biosphere.},
journal = {Microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40168-025-02325-1},
pmid = {41620752},
issn = {2049-2618},
support = {218627073//Deutsche Forschungsgemeinschaft/ ; B 715-09075//Thüringer Ministerium für Wirtschaft, Wissenschaft und Digitale Gesellschaft/ ; },
abstract = {BACKGROUND: Microorganisms in groundwater ecosystems exist either as planktonic cells or as attached communities on aquifer rock surfaces. Attached cells outnumber planktonic ones by at least three orders of magnitude, suggesting a critical role in aquifer ecosystem function. However, particularly in consolidated carbonate aquifers, where research has predominantly focused on planktonic microbes, the metabolic potential and ecological roles of attached communities remain poorly understood.
RESULTS: To investigate the differences between attached and planktonic communities, we sampled the attached microbiome from passive samplers filled with crushed carbonate rock exposed to oxic and anoxic groundwater in the Hainich Critical Zone Exploratory and compared it to a previously published, extensive dataset of planktonic communities from the same aquifer ecosystem. Microbial lifestyle (attached vs. planktonic) explained more variance in community composition than redox conditions, prompting us to further investigate its role in shaping functional and activity profiles. Metagenomic analysis revealed a striking taxonomic and functional segregation: the 605 metagenome-assembled genomes (MAGs) from attached communities were dominated by Proteobacteria (358 MAGs) and were enriched in genes for biofilm formation, chemolithoautotrophy, and redox cycling (e.g., iron and sulfur metabolism). In contrast, the 891 MAGs from planktonic communities were dominated by Cand. Patescibacteria (464 MAGs) and Nitrospirota (60 MAGs) and showed lower functional versatility. Only a few genera were shared, and even closely related MAGs (> 90% average nucleotide identity) differed in assembly size and metabolic traits, demonstrating lifestyle-specific functional adaptation. Analysis of active replication indicated that the active fraction of the attached community was primarily represented by the most abundant MAGs. Planktonic communities featured a higher fraction of active MAGs compared to attached communities, but overall with lower relative abundances.
CONCLUSIONS: The high abundance, metabolic specialization, and carbon fixation potential of attached microbes suggest that they are key drivers of subsurface biogeochemical processes. Carbonate aquifers may act as much larger inorganic carbon sinks than previously estimated based on CO2 fixation rates of the planktonic communities alone. Our findings underscore the need to incorporate attached microbial communities into models of subsurface ecosystem function. Video Abstract.},
}
RevDate: 2026-01-31
CmpDate: 2026-01-31
Socioeconomic position and the gut microbiota: a narrative synthesis of the association and recommendations.
Gut microbes, 18(1):2623356.
Evidence suggests that socioeconomic position (SEP) may shape the gut microbiota (GM), representing a mechanism through which social and environmental factors may drive health inequalities, yet no systematic review has examined this association. In this narrative systematic review, we searched PubMed, Web of Science, and Scopus up to 30 November 2024 for observational studies examining associations between measures of SEP and GM diversity, composition, or function in participants of any age, ethnicity, or location. We identified 1,479 unique studies, of which 26 met the inclusion criteria for this review. Associations were observed between SEP indicators and GM features, including alpha (α) and beta (β) diversity, taxonomic composition, and functional pathways. Notably, socioeconomic patterns in α-diversity differed by context, with greater diversity observed in advantaged groups in high-income countries (HICs) but in disadvantaged groups in low- and middle-income countries (LMICs). Differences in β-diversity suggest that advantaged and disadvantaged groups have distinct GM profiles. Furthermore, considerable heterogeneity was evident across studies, particularly in sampling, sequencing, and analytical methods. Overall, socioeconomic-related differences in the GM are evident globally, highlighting the microbiota as a potential target for interventions aimed at reducing health disparities. Further research employing larger and more diverse cohorts, longitudinal designs, metagenomic sequencing approaches, and comprehensive measurement and adjustment of key covariates is needed to deepen understanding of this relationship.
Additional Links: PMID-41620643
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@article {pmid41620643,
year = {2026},
author = {Ratcliff, JS and Kumari, M and Varga-Weisz, P and O'Gorman, R},
title = {Socioeconomic position and the gut microbiota: a narrative synthesis of the association and recommendations.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2623356},
doi = {10.1080/19490976.2026.2623356},
pmid = {41620643},
issn = {1949-0984},
mesh = {*Gastrointestinal Microbiome ; Humans ; *Socioeconomic Factors ; Bacteria/classification/genetics/isolation & purification ; *Social Class ; },
abstract = {Evidence suggests that socioeconomic position (SEP) may shape the gut microbiota (GM), representing a mechanism through which social and environmental factors may drive health inequalities, yet no systematic review has examined this association. In this narrative systematic review, we searched PubMed, Web of Science, and Scopus up to 30 November 2024 for observational studies examining associations between measures of SEP and GM diversity, composition, or function in participants of any age, ethnicity, or location. We identified 1,479 unique studies, of which 26 met the inclusion criteria for this review. Associations were observed between SEP indicators and GM features, including alpha (α) and beta (β) diversity, taxonomic composition, and functional pathways. Notably, socioeconomic patterns in α-diversity differed by context, with greater diversity observed in advantaged groups in high-income countries (HICs) but in disadvantaged groups in low- and middle-income countries (LMICs). Differences in β-diversity suggest that advantaged and disadvantaged groups have distinct GM profiles. Furthermore, considerable heterogeneity was evident across studies, particularly in sampling, sequencing, and analytical methods. Overall, socioeconomic-related differences in the GM are evident globally, highlighting the microbiota as a potential target for interventions aimed at reducing health disparities. Further research employing larger and more diverse cohorts, longitudinal designs, metagenomic sequencing approaches, and comprehensive measurement and adjustment of key covariates is needed to deepen understanding of this relationship.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Gastrointestinal Microbiome
Humans
*Socioeconomic Factors
Bacteria/classification/genetics/isolation & purification
*Social Class
RevDate: 2026-02-02
CmpDate: 2026-02-02
Maxing Shigan decoction serves as a key component of Lianhua Qingwen in alleviating lung and gut injury by restoring gut microbiota homeostasis and inhibiting inflammation via TLR4/NF-κB and JAK2/STAT3 dual regulation.
Microbial pathogenesis, 212:108285.
Lianhua Qingwen (LHQW), a clinically validated herbal medicine containing Maxing Shigan Decoction (MXSGT) and others, shows broad efficacy in various respiratory disease. However, its regulatory role on the gut-lung axis, particularly the contribution of its MXSGT components, remains unexplored. This study employed a formula-disassembled approach to decipher this mechanism. Three preparations, including the complete LHQW prescription, LHQW excluding MXSGT components (LHQW-MXSGT), and MXSGT along, were administered to LPS-induced acute lung injury and DSS-induced ulcerative colitis to evaluate their therapeutic effects via the gut-lung axis. Pathological changes, mucosal barrier integrity, inflammatory cell infiltration and pro-inflammatory cytokine levels were evaluated by H&E staining, histochemical staining, immunofluorescence, ELISA, RT-qPCR and Western blot. Metagenomic analysis (16S rDNA sequencing) was conducted to examine their regulatory role of gut microbiota. Network pharmacology analysis and cellular validation was employed to explore their underlying mechanisms. Our analyses demonstrated that LHQW and MXSGT, but not LHQW-MXSGT, significantly attenuated lung/intestinal pathology damage, reduced pro-inflammatory cytokines (TNF-α, IL-1β, IL-6), and restored gut barrier proteins (ZO-1, Occludin, MUC2). LHQW/MXSGT suppressed pathogenic bacteria (Escherichia coli, Salmonella, Klebsiella pneumoniae) while enriching Akkermansia muciniphila, correlating with decreased systemic LPS. Network pharmacology and subsequent validation identified dual inhibition of TLR4/NF-κB and JAK2/STAT3 pathways as key mechanism of MXSGT. In conclusion, MXSGT serves a pivotal pharmacologically active component of LHQW for its gut-lung axis regulation, acting through gut microbiota homeostasis restoration, intestinal barrier integrity maintenance, and anti-inflammatory signaling pathways, providing compelling scientific evidence supporting LHQW's potential therapeutic application in managing diseases characterized by comorbid gut and lung inflammation.
Additional Links: PMID-41564978
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PubMed:
Citation:
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@article {pmid41564978,
year = {2026},
author = {Yuan, C and Jin, P and He, Z and Guo, J and Xiong, M and Sun, J and Wang, L and Wang, Z and Han, N and Feng, W and Hou, Y and Qi, H and Jia, Z},
title = {Maxing Shigan decoction serves as a key component of Lianhua Qingwen in alleviating lung and gut injury by restoring gut microbiota homeostasis and inhibiting inflammation via TLR4/NF-κB and JAK2/STAT3 dual regulation.},
journal = {Microbial pathogenesis},
volume = {212},
number = {},
pages = {108285},
doi = {10.1016/j.micpath.2026.108285},
pmid = {41564978},
issn = {1096-1208},
mesh = {*Gastrointestinal Microbiome/drug effects ; Animals ; Toll-Like Receptor 4/metabolism ; *Drugs, Chinese Herbal/pharmacology ; NF-kappa B/metabolism ; STAT3 Transcription Factor/metabolism ; Mice ; *Acute Lung Injury/drug therapy ; Janus Kinase 2/metabolism ; Inflammation/drug therapy ; Lung/drug effects/pathology ; Male ; Lipopolysaccharides ; Colitis, Ulcerative/drug therapy/chemically induced ; Homeostasis/drug effects ; Signal Transduction/drug effects ; Mice, Inbred C57BL ; Disease Models, Animal ; Cytokines/metabolism ; },
abstract = {Lianhua Qingwen (LHQW), a clinically validated herbal medicine containing Maxing Shigan Decoction (MXSGT) and others, shows broad efficacy in various respiratory disease. However, its regulatory role on the gut-lung axis, particularly the contribution of its MXSGT components, remains unexplored. This study employed a formula-disassembled approach to decipher this mechanism. Three preparations, including the complete LHQW prescription, LHQW excluding MXSGT components (LHQW-MXSGT), and MXSGT along, were administered to LPS-induced acute lung injury and DSS-induced ulcerative colitis to evaluate their therapeutic effects via the gut-lung axis. Pathological changes, mucosal barrier integrity, inflammatory cell infiltration and pro-inflammatory cytokine levels were evaluated by H&E staining, histochemical staining, immunofluorescence, ELISA, RT-qPCR and Western blot. Metagenomic analysis (16S rDNA sequencing) was conducted to examine their regulatory role of gut microbiota. Network pharmacology analysis and cellular validation was employed to explore their underlying mechanisms. Our analyses demonstrated that LHQW and MXSGT, but not LHQW-MXSGT, significantly attenuated lung/intestinal pathology damage, reduced pro-inflammatory cytokines (TNF-α, IL-1β, IL-6), and restored gut barrier proteins (ZO-1, Occludin, MUC2). LHQW/MXSGT suppressed pathogenic bacteria (Escherichia coli, Salmonella, Klebsiella pneumoniae) while enriching Akkermansia muciniphila, correlating with decreased systemic LPS. Network pharmacology and subsequent validation identified dual inhibition of TLR4/NF-κB and JAK2/STAT3 pathways as key mechanism of MXSGT. In conclusion, MXSGT serves a pivotal pharmacologically active component of LHQW for its gut-lung axis regulation, acting through gut microbiota homeostasis restoration, intestinal barrier integrity maintenance, and anti-inflammatory signaling pathways, providing compelling scientific evidence supporting LHQW's potential therapeutic application in managing diseases characterized by comorbid gut and lung inflammation.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Gastrointestinal Microbiome/drug effects
Animals
Toll-Like Receptor 4/metabolism
*Drugs, Chinese Herbal/pharmacology
NF-kappa B/metabolism
STAT3 Transcription Factor/metabolism
Mice
*Acute Lung Injury/drug therapy
Janus Kinase 2/metabolism
Inflammation/drug therapy
Lung/drug effects/pathology
Male
Lipopolysaccharides
Colitis, Ulcerative/drug therapy/chemically induced
Homeostasis/drug effects
Signal Transduction/drug effects
Mice, Inbred C57BL
Disease Models, Animal
Cytokines/metabolism
RevDate: 2026-02-02
CmpDate: 2026-02-02
Earthworm mediated microbial quorum sensing accelerates organic matter transformation during vermicomposting of dewatered sludge.
Waste management (New York, N.Y.), 212:115332.
Vermicomposting (VC) relies on the synergistic interaction between earthworms and microorganisms to drive the degradation of organic matter (OM). Quorum sensing (QS), which governs earthworm-microorganism interactions, may influence dissolved organic matter (DOM) transformation during VC. However, the presence of QS and the functional roles of signaling molecules during VC remain unclear. This study investigated earthworm mediated microbial QS in driving microbial community succession and accelerating DOM transformation during VC, by contrasting the process without earthworms. The results showed that VC exhibited a distinct decomposition pathway, achieving significantly faster DOM degradation and mineralization (P < 0.01), compared to the control. Additionally, earthworms markedly facilitated the transformation of protein-like compounds into humic-like substances over a shorter period. Their presence also modified acyl-homoserine lactone (AHL) synthesis patterns and suppressed AHLs hydrolysis, resulting in a 96.14 % increase (P < 0.01) in short-chain AHLs. Metagenomic analysis revealed that earthworm in VC significantly altered the bacterial diversity (P < 0.05), enriching modularity coefficient and deterministic processes by 18.75 % and 87.03 %, respectively. Finally, AHL-responsive microorganisms significantly influencing physicochemical and DOM transformation during the VC. This study suggests that earthworms enhance AHL-type QS regulation in microbial communities, improving their metabolic functions and accelerating DOM transformation.
Additional Links: PMID-41494246
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PubMed:
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@article {pmid41494246,
year = {2026},
author = {Ding, J and Guo, T and Xia, H and Huang, K and Li, M and Li, F},
title = {Earthworm mediated microbial quorum sensing accelerates organic matter transformation during vermicomposting of dewatered sludge.},
journal = {Waste management (New York, N.Y.)},
volume = {212},
number = {},
pages = {115332},
doi = {10.1016/j.wasman.2026.115332},
pmid = {41494246},
issn = {1879-2456},
mesh = {*Oligochaeta/physiology ; *Quorum Sensing ; Animals ; *Composting/methods ; *Sewage/microbiology ; Biodegradation, Environmental ; Humic Substances ; Microbiota ; Bacteria/metabolism ; Acyl-Butyrolactones/metabolism ; },
abstract = {Vermicomposting (VC) relies on the synergistic interaction between earthworms and microorganisms to drive the degradation of organic matter (OM). Quorum sensing (QS), which governs earthworm-microorganism interactions, may influence dissolved organic matter (DOM) transformation during VC. However, the presence of QS and the functional roles of signaling molecules during VC remain unclear. This study investigated earthworm mediated microbial QS in driving microbial community succession and accelerating DOM transformation during VC, by contrasting the process without earthworms. The results showed that VC exhibited a distinct decomposition pathway, achieving significantly faster DOM degradation and mineralization (P < 0.01), compared to the control. Additionally, earthworms markedly facilitated the transformation of protein-like compounds into humic-like substances over a shorter period. Their presence also modified acyl-homoserine lactone (AHL) synthesis patterns and suppressed AHLs hydrolysis, resulting in a 96.14 % increase (P < 0.01) in short-chain AHLs. Metagenomic analysis revealed that earthworm in VC significantly altered the bacterial diversity (P < 0.05), enriching modularity coefficient and deterministic processes by 18.75 % and 87.03 %, respectively. Finally, AHL-responsive microorganisms significantly influencing physicochemical and DOM transformation during the VC. This study suggests that earthworms enhance AHL-type QS regulation in microbial communities, improving their metabolic functions and accelerating DOM transformation.},
}
MeSH Terms:
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*Oligochaeta/physiology
*Quorum Sensing
Animals
*Composting/methods
*Sewage/microbiology
Biodegradation, Environmental
Humic Substances
Microbiota
Bacteria/metabolism
Acyl-Butyrolactones/metabolism
RevDate: 2026-02-01
CmpDate: 2026-02-01
Ganjie Decoction protects against respiratory syncytial virus infection by activating PI3K/AKT-apoptosis axis and regulating gut microbiota metabolism.
Journal of ethnopharmacology, 360:121142.
Ganjie Decoction (GJD), a traditional Chinese medicine (TCM) formula commonly used for respiratory diseases, has shown therapeutic potential against RSV pneumonia. However, its pharmacological mechanisms against respiratory syncytial virus (RSV) pneumonia are not fully understood.
AIM OF STUDY: This study aimd to characterize the active components of GJD and systematically investigate its therapeutic effects and underlying mechanisms in RSV-induced pneumonia.
MATERIALS AND METHODS: To evaluate the therapeutic efficacy of GJD in RSV-infected mice, we monitored body weight, performed qPCR, and conducted histopathological examination of lung tissues. The chemical constituents of GJD were characterized using UPLC-MS. Key bioactive compounds and their potential targets were predicted using network pharmacology and molecular docking. The underlying mechanisms were further elucidated using immunohistochemistry and western blotting. The interactions between GJD and the gut microbiota were explored using antibiotic depletion, fecal microbiota transplantation (FMT), metagenomic sequencing, and in vitro co-culture assays. Untargeted metabolomics was employed to assess GJD-induced metabolic alterations. Finally, the role of the key metabolite 4-hydroxyphenylacetic acid (4-HPA) was investigated in vivo and in vitro through qPCR, immunohistochemistry, ELISA, Western blot, cell viability assays and immunofluorescence.
RESULTS: GJD significantly mitigated weight loss, attenuated pulmonary viral load, and suppressed inflammation in RSV-infected mice. Network pharmacology and molecular docking revealed that specific compounds in GJD target the PI3K/AKT signaling pathway. This finding was validated by western blotting and immunohistochemistry, which demonstrated that GJD suppresses PI3K/AKT pathway activation, thereby attenuating apoptosis and ameliorating RSV-induced pneumonia. Notably, these protective effects were markedly attenuated in mice with depleted gut microbiota, while therapeutic effects of GJD against RSV pneumonia were transferable via gut microbiota transplantation. GJD restored RSV-induced dysbiosis of the gut microbiota, with Lactobacillus reuteri emerging as one of the most enriched microbes following treatment. Metabolomics analysis identified 4-HPA as a microbiota-dependent metabolite significantly upregulated by GJD. Remarkably, administration of 4-HPA reproduced GJD's therapeutic effects in RSV-infected mice and activated the KEAP1/NRF2 antioxidant pathway, suggesting that 4-HPA functions as a key mediator of GJD's anti-RSV activity.
CONCLUSIONS: These findings suggest that GJD alleviates RSV pneumonia through a synergistic mechanism that modulates the PI3K/AKT-apoptosis pathway, restores gut microbial balance, and normalizes metabolic disturbances. This study systematically elucidates the mechanistic basis underlying the therapeutic effects of GJD against RSV pneumonia.
Additional Links: PMID-41482085
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PubMed:
Citation:
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@article {pmid41482085,
year = {2026},
author = {Yang, B and Xia, Q and Ji, X and Su, K and Yu, T and Xiao, Z and Shi, C and Luo, Z and Wang, X and Xu, W and Gao, Y and Hua, H and Shan, J},
title = {Ganjie Decoction protects against respiratory syncytial virus infection by activating PI3K/AKT-apoptosis axis and regulating gut microbiota metabolism.},
journal = {Journal of ethnopharmacology},
volume = {360},
number = {},
pages = {121142},
doi = {10.1016/j.jep.2025.121142},
pmid = {41482085},
issn = {1872-7573},
mesh = {Animals ; *Respiratory Syncytial Virus Infections/drug therapy ; *Gastrointestinal Microbiome/drug effects ; *Drugs, Chinese Herbal/pharmacology/therapeutic use ; Proto-Oncogene Proteins c-akt/metabolism ; Mice ; Phosphatidylinositol 3-Kinases/metabolism ; Mice, Inbred BALB C ; Apoptosis/drug effects ; Signal Transduction/drug effects ; Humans ; *Antiviral Agents/pharmacology ; Lung/drug effects/pathology/virology ; Molecular Docking Simulation ; Female ; Male ; },
abstract = {Ganjie Decoction (GJD), a traditional Chinese medicine (TCM) formula commonly used for respiratory diseases, has shown therapeutic potential against RSV pneumonia. However, its pharmacological mechanisms against respiratory syncytial virus (RSV) pneumonia are not fully understood.
AIM OF STUDY: This study aimd to characterize the active components of GJD and systematically investigate its therapeutic effects and underlying mechanisms in RSV-induced pneumonia.
MATERIALS AND METHODS: To evaluate the therapeutic efficacy of GJD in RSV-infected mice, we monitored body weight, performed qPCR, and conducted histopathological examination of lung tissues. The chemical constituents of GJD were characterized using UPLC-MS. Key bioactive compounds and their potential targets were predicted using network pharmacology and molecular docking. The underlying mechanisms were further elucidated using immunohistochemistry and western blotting. The interactions between GJD and the gut microbiota were explored using antibiotic depletion, fecal microbiota transplantation (FMT), metagenomic sequencing, and in vitro co-culture assays. Untargeted metabolomics was employed to assess GJD-induced metabolic alterations. Finally, the role of the key metabolite 4-hydroxyphenylacetic acid (4-HPA) was investigated in vivo and in vitro through qPCR, immunohistochemistry, ELISA, Western blot, cell viability assays and immunofluorescence.
RESULTS: GJD significantly mitigated weight loss, attenuated pulmonary viral load, and suppressed inflammation in RSV-infected mice. Network pharmacology and molecular docking revealed that specific compounds in GJD target the PI3K/AKT signaling pathway. This finding was validated by western blotting and immunohistochemistry, which demonstrated that GJD suppresses PI3K/AKT pathway activation, thereby attenuating apoptosis and ameliorating RSV-induced pneumonia. Notably, these protective effects were markedly attenuated in mice with depleted gut microbiota, while therapeutic effects of GJD against RSV pneumonia were transferable via gut microbiota transplantation. GJD restored RSV-induced dysbiosis of the gut microbiota, with Lactobacillus reuteri emerging as one of the most enriched microbes following treatment. Metabolomics analysis identified 4-HPA as a microbiota-dependent metabolite significantly upregulated by GJD. Remarkably, administration of 4-HPA reproduced GJD's therapeutic effects in RSV-infected mice and activated the KEAP1/NRF2 antioxidant pathway, suggesting that 4-HPA functions as a key mediator of GJD's anti-RSV activity.
CONCLUSIONS: These findings suggest that GJD alleviates RSV pneumonia through a synergistic mechanism that modulates the PI3K/AKT-apoptosis pathway, restores gut microbial balance, and normalizes metabolic disturbances. This study systematically elucidates the mechanistic basis underlying the therapeutic effects of GJD against RSV pneumonia.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Respiratory Syncytial Virus Infections/drug therapy
*Gastrointestinal Microbiome/drug effects
*Drugs, Chinese Herbal/pharmacology/therapeutic use
Proto-Oncogene Proteins c-akt/metabolism
Mice
Phosphatidylinositol 3-Kinases/metabolism
Mice, Inbred BALB C
Apoptosis/drug effects
Signal Transduction/drug effects
Humans
*Antiviral Agents/pharmacology
Lung/drug effects/pathology/virology
Molecular Docking Simulation
Female
Male
RevDate: 2026-02-02
CmpDate: 2026-02-02
The infectome framework: linking polymicrobial ecology and biofilm dynamics to precision diagnostic approaches.
Infection, 54(1):111-126.
Chronic infections are a persistent global health problem and are frequently sustained by polymicrobial communities rather than by a single pathogen. This review brings together current evidence for the infectome concept, defined as the dynamic set of pathogenic or pathobiont taxa in the host, their shared functional capacities, and the interactions that connect them. We analyze how community-level processes promote persistence, cause diagnostic failure, and drive therapeutic resistance, with emphasis on multispecies biofilms, quorum sensing, horizontal gene transfer, metabolic cooperation, and immune modulation. We also highlight advances in multi-omics and computational integration that now permit high-resolution infectome profiling and reveal taxa and interspecies networks that are not captured by routine culture. Clinical examples such as periodontitis, bacterial vaginosis, chronic rhinosinusitis, device-associated infections, and recurrent urinary tract infections show the translational value of this shift. On the therapeutic side, we discuss infectome-informed options including antivirulence agents, biofilm-disrupting enzymes, bacteriophages and lysins, community-wide susceptibility-guided regimens, and microbiome-restoration strategies. Finally, we identify the main requirements for the field: standardized sampling and analytic workflows, reproducible infectome signatures linked to clinical outcomes, and trial designs able to capture ecological dynamics and meet regulatory expectations for community-targeted interventions. Adopting an infectome perspective can enable precision infectiology and reshape the management of chronic and recurrent infections.
Additional Links: PMID-41201733
PubMed:
Citation:
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@article {pmid41201733,
year = {2026},
author = {Saleh, RM and Hassan, OM},
title = {The infectome framework: linking polymicrobial ecology and biofilm dynamics to precision diagnostic approaches.},
journal = {Infection},
volume = {54},
number = {1},
pages = {111-126},
pmid = {41201733},
issn = {1439-0973},
mesh = {*Biofilms/growth & development ; Humans ; *Coinfection/microbiology/diagnosis ; *Microbiota ; *Precision Medicine/methods ; },
abstract = {Chronic infections are a persistent global health problem and are frequently sustained by polymicrobial communities rather than by a single pathogen. This review brings together current evidence for the infectome concept, defined as the dynamic set of pathogenic or pathobiont taxa in the host, their shared functional capacities, and the interactions that connect them. We analyze how community-level processes promote persistence, cause diagnostic failure, and drive therapeutic resistance, with emphasis on multispecies biofilms, quorum sensing, horizontal gene transfer, metabolic cooperation, and immune modulation. We also highlight advances in multi-omics and computational integration that now permit high-resolution infectome profiling and reveal taxa and interspecies networks that are not captured by routine culture. Clinical examples such as periodontitis, bacterial vaginosis, chronic rhinosinusitis, device-associated infections, and recurrent urinary tract infections show the translational value of this shift. On the therapeutic side, we discuss infectome-informed options including antivirulence agents, biofilm-disrupting enzymes, bacteriophages and lysins, community-wide susceptibility-guided regimens, and microbiome-restoration strategies. Finally, we identify the main requirements for the field: standardized sampling and analytic workflows, reproducible infectome signatures linked to clinical outcomes, and trial designs able to capture ecological dynamics and meet regulatory expectations for community-targeted interventions. Adopting an infectome perspective can enable precision infectiology and reshape the management of chronic and recurrent infections.},
}
MeSH Terms:
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hide MeSH Terms
*Biofilms/growth & development
Humans
*Coinfection/microbiology/diagnosis
*Microbiota
*Precision Medicine/methods
RevDate: 2026-02-03
CmpDate: 2026-02-02
Gut virome dynamics: from commensal to critical player in health and disease.
Nature reviews. Gastroenterology & hepatology, 23(2):126-144.
The gut virome is a complex ecosystem characterized by the interplay of diverse viral entities, predominantly bacteriophages and eukaryotic viruses. The gut virome has a critical role in human health by shaping microbial community profiles, modulating host immunity and influencing metabolic processes. Different viral metagenomics approaches have revealed the remarkable diversity of the gut virome, showing individual-specific patterns that evolve over time and adapt dynamically to environmental factors. Perturbations in this community are increasingly associated with chronic immune and inflammatory conditions, metabolic disorders and neurological conditions, highlighting its potential as a diagnostic biomarker and therapeutic target. The early-life gut virome is particularly influential in establishing lifelong health trajectories through its interactions with diet, immune pathways and others, thereby contributing to inflammatory and metabolic regulation. This Review synthesizes current knowledge of gut virome composition, dynamics and functional relevance, critically evaluating evidence distinguishing causal from correlative roles in disease pathogenesis. The interactions of the virome with other microbiome components and host immunity are examined, and emerging translational applications, including phage therapy and biomarker development, are discussed. Integrating these insights while acknowledging methodological challenges provides a comprehensive framework for understanding the complex roles of the gut virome in health and disease.
Additional Links: PMID-41193697
PubMed:
Citation:
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@article {pmid41193697,
year = {2026},
author = {Chica Cardenas, LA and Leonard, MM and Baldridge, MT and Handley, SA},
title = {Gut virome dynamics: from commensal to critical player in health and disease.},
journal = {Nature reviews. Gastroenterology & hepatology},
volume = {23},
number = {2},
pages = {126-144},
pmid = {41193697},
issn = {1759-5053},
mesh = {Humans ; *Virome/physiology ; *Gastrointestinal Microbiome/physiology ; Bacteriophages ; },
abstract = {The gut virome is a complex ecosystem characterized by the interplay of diverse viral entities, predominantly bacteriophages and eukaryotic viruses. The gut virome has a critical role in human health by shaping microbial community profiles, modulating host immunity and influencing metabolic processes. Different viral metagenomics approaches have revealed the remarkable diversity of the gut virome, showing individual-specific patterns that evolve over time and adapt dynamically to environmental factors. Perturbations in this community are increasingly associated with chronic immune and inflammatory conditions, metabolic disorders and neurological conditions, highlighting its potential as a diagnostic biomarker and therapeutic target. The early-life gut virome is particularly influential in establishing lifelong health trajectories through its interactions with diet, immune pathways and others, thereby contributing to inflammatory and metabolic regulation. This Review synthesizes current knowledge of gut virome composition, dynamics and functional relevance, critically evaluating evidence distinguishing causal from correlative roles in disease pathogenesis. The interactions of the virome with other microbiome components and host immunity are examined, and emerging translational applications, including phage therapy and biomarker development, are discussed. Integrating these insights while acknowledging methodological challenges provides a comprehensive framework for understanding the complex roles of the gut virome in health and disease.},
}
MeSH Terms:
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Humans
*Virome/physiology
*Gastrointestinal Microbiome/physiology
Bacteriophages
RevDate: 2026-02-02
CmpDate: 2026-02-02
In vivo exposure of mixed microplastic particles in mice and its impacts on the murine gut microbiome and metabolome.
Toxicological sciences : an official journal of the Society of Toxicology, 209(1):.
Microplastics (MPs) are emerging environmental contaminants due to increasing global plastic production and waste. MPs, defined as plastic particles less than 5 mm in diameter, are formed through the degradation of larger plastics via sunlight, weathering, and microbes. These plastic compounds are widely detected in water, soil, and food, as well as human stool and blood. The gut microbiome, often referred to as our second genome, is important in human health and is the primary point of contact for orally ingested MPs. To investigate the impact of ingested MPs on the gut microbiome and the metabolome, 8-week-old male and female C57BL/6 mice were orally gavaged with mixed plastic (5 µm) exposure consisting of polystyrene, polyethylene, and the biodegradable/biocompatible plastic, poly(lactic-co-glycolic acid), twice a week for 4 weeks at 0, 2, or 4 mg/week (n = 8/group). Fecal pellets were collected for bacterial DNA extraction and metagenomic shotgun sequencing, and serum was subjected to targeted and untargeted metabolomics. A total of 1,162 bacterial species and 1,437 metabolites were evaluated for downstream analysis. MPs' exposure resulted in significant sex-specific and dose-dependent changes to the gut microbiome composition, along with substantial regulation of predicted metabolic pathways. Untargeted metabolomics in serum showed that a low MPs dose displayed a more prominent effect on key metabolic pathways, such as amino acid metabolism, sugar metabolism, and inflammation. Additionally, short-chain fatty acid (SCFA)-targeted metabolomics showed significant changes in neuroprotective SCFA levels in both sexes. Our study demonstrates that MPs dysregulate the gut microbiome and serum metabolome, highlighting potential human disease risks.
Additional Links: PMID-41143690
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PubMed:
Citation:
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@article {pmid41143690,
year = {2026},
author = {Kim, KJ and Garcia, MM and Romero, AS and Jin, Y and Chi, J and Campen, MJ and Gu, H and Richardson, JR and Castillo, EF and Cui, JY},
title = {In vivo exposure of mixed microplastic particles in mice and its impacts on the murine gut microbiome and metabolome.},
journal = {Toxicological sciences : an official journal of the Society of Toxicology},
volume = {209},
number = {1},
pages = {},
doi = {10.1093/toxsci/kfaf145},
pmid = {41143690},
issn = {1096-0929},
support = {R01 ES032037/ES/NIEHS NIH HHS/United States ; T32ES007032//UW Environmental Pathology/Toxicology Training/ ; //Environmental Health and Microbiome Research Center (EHMBRACE)/ ; //Sheldon Murphy Endowment/ ; 5P30ES007033-27//UW EDGE Center/ ; 1U01AG088557/GF/NIH HHS/United States ; 1R01AG070776/GF/NIH HHS/United States ; //Dianne Isakson Distinguished Professorship/ ; },
mesh = {Animals ; *Gastrointestinal Microbiome/drug effects ; Male ; Female ; Mice, Inbred C57BL ; *Microplastics/toxicity ; *Metabolome/drug effects ; Feces/microbiology ; Mice ; Metabolomics ; },
abstract = {Microplastics (MPs) are emerging environmental contaminants due to increasing global plastic production and waste. MPs, defined as plastic particles less than 5 mm in diameter, are formed through the degradation of larger plastics via sunlight, weathering, and microbes. These plastic compounds are widely detected in water, soil, and food, as well as human stool and blood. The gut microbiome, often referred to as our second genome, is important in human health and is the primary point of contact for orally ingested MPs. To investigate the impact of ingested MPs on the gut microbiome and the metabolome, 8-week-old male and female C57BL/6 mice were orally gavaged with mixed plastic (5 µm) exposure consisting of polystyrene, polyethylene, and the biodegradable/biocompatible plastic, poly(lactic-co-glycolic acid), twice a week for 4 weeks at 0, 2, or 4 mg/week (n = 8/group). Fecal pellets were collected for bacterial DNA extraction and metagenomic shotgun sequencing, and serum was subjected to targeted and untargeted metabolomics. A total of 1,162 bacterial species and 1,437 metabolites were evaluated for downstream analysis. MPs' exposure resulted in significant sex-specific and dose-dependent changes to the gut microbiome composition, along with substantial regulation of predicted metabolic pathways. Untargeted metabolomics in serum showed that a low MPs dose displayed a more prominent effect on key metabolic pathways, such as amino acid metabolism, sugar metabolism, and inflammation. Additionally, short-chain fatty acid (SCFA)-targeted metabolomics showed significant changes in neuroprotective SCFA levels in both sexes. Our study demonstrates that MPs dysregulate the gut microbiome and serum metabolome, highlighting potential human disease risks.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Gastrointestinal Microbiome/drug effects
Male
Female
Mice, Inbred C57BL
*Microplastics/toxicity
*Metabolome/drug effects
Feces/microbiology
Mice
Metabolomics
RevDate: 2026-02-02
CmpDate: 2026-02-02
Dental plaque microbiota following allogeneic hematopoietic cell transplantation and risk of chronic graft-versus-host disease.
Haematologica, 111(2):620-631.
Microbiota disruptions have been associated with short-term complications after allogeneic hematopoietic cell transplantation (alloHCT). However, only a few studies have examined the relationship between dysbiosis and chronic graft-versus-host disease (cGvHD), the main long-term immunologic toxicity of alloHCT. Considering the role of oral microbiota in systemic inflammatory diseases, we evaluated whether oral microbiota at day 28 post HCT corresponding to clinical recovery from the acute events after transplantation is associated with subsequent cGvHD. Shotgun metagenomic sequencing of 207 saliva and supragingival plaque samples collected longitudinally at baseline (pre-conditioning), day +28, and day +84 from 37 patients (11 with subsequent moderate/severe cGvHD) revealed a significant association between day +28 plaque microbiota composition and cGvHD. Two orthogonal statistical approaches demonstrated Streptococcus sanguinis and Prevotella loescheii in day +28 plaque to be associated with cGvHD. Metagenome-based functional analysis identified 4 microbial metabolic pathways associated with future cGvHD, 2 of which were highly attributed to S. sanguinis. These pathways - ethanolamine utilization and glycerol metabolism - increase bacterial fitness by providing an alternative carbon/nitrogen source and improving survival in inflamed tissues. Our findings propose a novel mechanism by which the early post-transplant dental biofilm may contribute to cGvHD months later, offering a potential target for early prophylactic intervention.
Additional Links: PMID-40905099
Publisher:
PubMed:
Citation:
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@article {pmid40905099,
year = {2026},
author = {Gem, H and Ebadi, M and Sebastian, G and Abasaeed, R and Lloid, M and Minot, SS and Dean, DR and Rashidi, A},
title = {Dental plaque microbiota following allogeneic hematopoietic cell transplantation and risk of chronic graft-versus-host disease.},
journal = {Haematologica},
volume = {111},
number = {2},
pages = {620-631},
doi = {10.3324/haematol.2025.288279},
pmid = {40905099},
issn = {1592-8721},
mesh = {Humans ; *Graft vs Host Disease/etiology/diagnosis/microbiology ; *Hematopoietic Stem Cell Transplantation/adverse effects ; Female ; Male ; Middle Aged ; Adult ; *Dental Plaque/microbiology ; *Microbiota ; Transplantation, Homologous ; Chronic Disease ; Aged ; Young Adult ; },
abstract = {Microbiota disruptions have been associated with short-term complications after allogeneic hematopoietic cell transplantation (alloHCT). However, only a few studies have examined the relationship between dysbiosis and chronic graft-versus-host disease (cGvHD), the main long-term immunologic toxicity of alloHCT. Considering the role of oral microbiota in systemic inflammatory diseases, we evaluated whether oral microbiota at day 28 post HCT corresponding to clinical recovery from the acute events after transplantation is associated with subsequent cGvHD. Shotgun metagenomic sequencing of 207 saliva and supragingival plaque samples collected longitudinally at baseline (pre-conditioning), day +28, and day +84 from 37 patients (11 with subsequent moderate/severe cGvHD) revealed a significant association between day +28 plaque microbiota composition and cGvHD. Two orthogonal statistical approaches demonstrated Streptococcus sanguinis and Prevotella loescheii in day +28 plaque to be associated with cGvHD. Metagenome-based functional analysis identified 4 microbial metabolic pathways associated with future cGvHD, 2 of which were highly attributed to S. sanguinis. These pathways - ethanolamine utilization and glycerol metabolism - increase bacterial fitness by providing an alternative carbon/nitrogen source and improving survival in inflamed tissues. Our findings propose a novel mechanism by which the early post-transplant dental biofilm may contribute to cGvHD months later, offering a potential target for early prophylactic intervention.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Graft vs Host Disease/etiology/diagnosis/microbiology
*Hematopoietic Stem Cell Transplantation/adverse effects
Female
Male
Middle Aged
Adult
*Dental Plaque/microbiology
*Microbiota
Transplantation, Homologous
Chronic Disease
Aged
Young Adult
RevDate: 2026-01-31
CmpDate: 2026-01-31
Genetic diversity, microbiome composition and socio-sanitary predictors of head lice (Pediculus humanus capitis) among disadvantaged children in Klang Valley, Malaysia.
Tropical biomedicine, 42(4):435-445.
Pediculosis capitis remains a neglected public health issue in Malaysia, particularly among disadvantaged children. While the genetic diversity of head lice is well studied, their associated microbiome and links to socio-sanitary conditions remain unclear. This study examined 266 children from ten children's establishments in Klang Valley and Greater Kuala Lumpur, of whom 89 (33.46%) were positive for pediculosis capitis. Cytochrome c oxidase subunit I (COI) barcoding identified two clades: A (36%) and C (64%). 16S rRNA metagenomic profiling of pooled samples revealed higher microbial diversity in Clade C compared to Clade A, with opportunistic bacteria, including Propionibacterium acnes, Streptococcus spp., Bacteroides fragilis, and Staphylococcus aureus being detected. Logistic regression identified age, head lice awareness, and eating with hands as significant predictors of infection. These findings demonstrate that head lice not only cluster genetically but also may harbour clade-dependent microbiomes, with potential health implications. The integration of genetic diversity, microbial variation, and socio-sanitary data highlights the multifactorial risks of pediculosis capitis in vulnerable populations, underscoring the importance of combined ectoparasite control and hygiene interventions.
Additional Links: PMID-41619244
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PubMed:
Citation:
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@article {pmid41619244,
year = {2025},
author = {Zahanuddin, A and Rahim, FF and Lau, YL and Mokhtar, AS},
title = {Genetic diversity, microbiome composition and socio-sanitary predictors of head lice (Pediculus humanus capitis) among disadvantaged children in Klang Valley, Malaysia.},
journal = {Tropical biomedicine},
volume = {42},
number = {4},
pages = {435-445},
doi = {10.47665/tb.42.4.010},
pmid = {41619244},
issn = {2521-9855},
mesh = {Humans ; Malaysia/epidemiology ; *Pediculus/genetics/classification ; Animals ; *Microbiota ; Male ; *Lice Infestations/epidemiology/parasitology ; Female ; Child ; Child, Preschool ; *Genetic Variation ; RNA, Ribosomal, 16S/genetics ; Vulnerable Populations ; Infant ; Bacteria/classification/genetics/isolation & purification ; },
abstract = {Pediculosis capitis remains a neglected public health issue in Malaysia, particularly among disadvantaged children. While the genetic diversity of head lice is well studied, their associated microbiome and links to socio-sanitary conditions remain unclear. This study examined 266 children from ten children's establishments in Klang Valley and Greater Kuala Lumpur, of whom 89 (33.46%) were positive for pediculosis capitis. Cytochrome c oxidase subunit I (COI) barcoding identified two clades: A (36%) and C (64%). 16S rRNA metagenomic profiling of pooled samples revealed higher microbial diversity in Clade C compared to Clade A, with opportunistic bacteria, including Propionibacterium acnes, Streptococcus spp., Bacteroides fragilis, and Staphylococcus aureus being detected. Logistic regression identified age, head lice awareness, and eating with hands as significant predictors of infection. These findings demonstrate that head lice not only cluster genetically but also may harbour clade-dependent microbiomes, with potential health implications. The integration of genetic diversity, microbial variation, and socio-sanitary data highlights the multifactorial risks of pediculosis capitis in vulnerable populations, underscoring the importance of combined ectoparasite control and hygiene interventions.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Malaysia/epidemiology
*Pediculus/genetics/classification
Animals
*Microbiota
Male
*Lice Infestations/epidemiology/parasitology
Female
Child
Child, Preschool
*Genetic Variation
RNA, Ribosomal, 16S/genetics
Vulnerable Populations
Infant
Bacteria/classification/genetics/isolation & purification
RevDate: 2026-01-31
CmpDate: 2026-01-31
From predisposition to recovery: field evidence of interactions between the gut microbiota and Brachyspira hyodysenteriae infection.
Veterinary research, 57(1):25.
Restrictions on antibiotics use have increased interest in the gut microbiota relationship to host health, particularly in enteric infections. The present field study, performed on two farms with endemic swine dysentery (SD) infection, characterises the faecal microbiota in 102 faecal samples from 13 diseased and 13 non-diseased pigs by shotgun metagenomic sequencing. The samples were collected during four samplings, which allowed us to monitor the animals before, during and after the clinical disease to investigate the role of the gut microbiota in disease outcome, assess the impact of infection on microbial composition and evaluate the microbiota evolution following recovery. Samples collected before disease demonstrated that SD susceptible pigs had lower microbial diversity, with significantly lower abundance of Treponema rectale, Prevotella spp. or Ruminiclostridium E compared with SD resistant pigs, which remained healthy. Marked alterations in microbial species composition and their functional profiles were evident during clinical disease. Brachyspira hyodysenteriae, Dysosmobacter sp. BX15, Acetivibrio ethanolgignens and Mucispirillum sp. 910586745 were significantly increased in abundance, which was associated with an increase of functions such as Bacteroides capsular polysaccharide transcription antitermination proteins or pterin carbinolamine dehydratase. No changes in the microbiota were observed after the disease when compared with non-diseased pigs, thus evidencing a restoration of the microbiota composition after therapeutic treatment and recovery. The study demonstrates that the microbiota may play a relevant role in SD disease outcome and evidences the changes that occur during clinical disease do not persist over time after pig therapeutic treatment.
Additional Links: PMID-41618383
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Citation:
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@article {pmid41618383,
year = {2026},
author = {Pérez-Pérez, L and Arguello, H and Cobo-DÃaz, JF and Galisteo, C and Puente, H and Gómez-MartÃnez, S and Carvajal, A},
title = {From predisposition to recovery: field evidence of interactions between the gut microbiota and Brachyspira hyodysenteriae infection.},
journal = {Veterinary research},
volume = {57},
number = {1},
pages = {25},
pmid = {41618383},
issn = {1297-9716},
support = {PRE2020-093762//Ministerio de Ciencia, Innovación y Universidades/ ; JDC2023-051122-I//Ministerio de Ciencia, Innovación y Universidades/ ; EDU-1868-2022//Junta de Castilla y León/ ; },
mesh = {Animals ; Swine ; *Gastrointestinal Microbiome ; *Swine Diseases/microbiology ; *Gram-Negative Bacterial Infections/veterinary/microbiology ; *Brachyspira hyodysenteriae/physiology ; Feces/microbiology ; Disease Susceptibility/veterinary/microbiology ; },
abstract = {Restrictions on antibiotics use have increased interest in the gut microbiota relationship to host health, particularly in enteric infections. The present field study, performed on two farms with endemic swine dysentery (SD) infection, characterises the faecal microbiota in 102 faecal samples from 13 diseased and 13 non-diseased pigs by shotgun metagenomic sequencing. The samples were collected during four samplings, which allowed us to monitor the animals before, during and after the clinical disease to investigate the role of the gut microbiota in disease outcome, assess the impact of infection on microbial composition and evaluate the microbiota evolution following recovery. Samples collected before disease demonstrated that SD susceptible pigs had lower microbial diversity, with significantly lower abundance of Treponema rectale, Prevotella spp. or Ruminiclostridium E compared with SD resistant pigs, which remained healthy. Marked alterations in microbial species composition and their functional profiles were evident during clinical disease. Brachyspira hyodysenteriae, Dysosmobacter sp. BX15, Acetivibrio ethanolgignens and Mucispirillum sp. 910586745 were significantly increased in abundance, which was associated with an increase of functions such as Bacteroides capsular polysaccharide transcription antitermination proteins or pterin carbinolamine dehydratase. No changes in the microbiota were observed after the disease when compared with non-diseased pigs, thus evidencing a restoration of the microbiota composition after therapeutic treatment and recovery. The study demonstrates that the microbiota may play a relevant role in SD disease outcome and evidences the changes that occur during clinical disease do not persist over time after pig therapeutic treatment.},
}
MeSH Terms:
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Animals
Swine
*Gastrointestinal Microbiome
*Swine Diseases/microbiology
*Gram-Negative Bacterial Infections/veterinary/microbiology
*Brachyspira hyodysenteriae/physiology
Feces/microbiology
Disease Susceptibility/veterinary/microbiology
RevDate: 2026-01-30
Diversity and ecological roles of hidden viral players in groundwater microbiomes.
Nature communications pii:10.1038/s41467-026-68914-2 [Epub ahead of print].
Groundwater ecosystems harbor diverse microbial communities adapted to energy-limited, light-deprived conditions, yet the role of viruses in these environments remains poorly understood. Here, we analyzed 1.24 terabases of metagenomic and metatranscriptomic data from seven wells in the Hainich Critical Zone Exploratory (CZE) to characterize groundwater viromes. We identified 257,252 viral operational taxonomic units (vOTUs) (≥ 5 kb), with 99% novel at order, family and genus levels against global ocean, freshwater and/or other publicly available datasets. In silico host predictions suggest that vOTUs primarily targeted Proteobacteria, Candidate Phyla Radiation (CPR) bacteria, and DPANN archaea, which reflects abundant and active groundwater microbial members. Patterns of virus-host abundance ratios, CRISPR-spacers, and prophage screening suggest the potential for multi-layer interactions involving CPR/DPANN lineages, their hosts, and viruses. Additionally, we identified 289 KEGG metabolic modules, 31.1% of which were targeted by 3378 vOTUs encoded auxiliary metabolic genes (AMGs) linked to carbon, nitrogen, and sulfur cycling. These findings provide a baseline for exploring how viruses influence microbial community dynamics, metabolic reprogramming and nutrient cycling in groundwater.
Additional Links: PMID-41617723
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@article {pmid41617723,
year = {2026},
author = {Pratama, AA and Pérez-Carrascal, O and Sullivan, MB and Küsel, K},
title = {Diversity and ecological roles of hidden viral players in groundwater microbiomes.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-68914-2},
pmid = {41617723},
issn = {2041-1723},
support = {EXC 2051, Project-ID 390713860//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; DE-SC0023307//U.S. Department of Energy (DOE)/ ; },
abstract = {Groundwater ecosystems harbor diverse microbial communities adapted to energy-limited, light-deprived conditions, yet the role of viruses in these environments remains poorly understood. Here, we analyzed 1.24 terabases of metagenomic and metatranscriptomic data from seven wells in the Hainich Critical Zone Exploratory (CZE) to characterize groundwater viromes. We identified 257,252 viral operational taxonomic units (vOTUs) (≥ 5 kb), with 99% novel at order, family and genus levels against global ocean, freshwater and/or other publicly available datasets. In silico host predictions suggest that vOTUs primarily targeted Proteobacteria, Candidate Phyla Radiation (CPR) bacteria, and DPANN archaea, which reflects abundant and active groundwater microbial members. Patterns of virus-host abundance ratios, CRISPR-spacers, and prophage screening suggest the potential for multi-layer interactions involving CPR/DPANN lineages, their hosts, and viruses. Additionally, we identified 289 KEGG metabolic modules, 31.1% of which were targeted by 3378 vOTUs encoded auxiliary metabolic genes (AMGs) linked to carbon, nitrogen, and sulfur cycling. These findings provide a baseline for exploring how viruses influence microbial community dynamics, metabolic reprogramming and nutrient cycling in groundwater.},
}
RevDate: 2026-01-30
Human activities and horizontal gene transfer shape the resistome landscapes of non-human primates.
Journal of hazardous materials, 504:141276 pii:S0304-3894(26)00254-2 [Epub ahead of print].
Antibiotic resistance represents a growing threat to human, animal, and ecosystem health, yet its dynamics in wildlife remain poorly understood. We conducted a systematic analysis of the gut resistomes in non-human primates (NHPs) and environmental soils in Guizhou Province, China, a biodiversity hotspot. Metagenomic analyses reveal that human activities and horizontal gene transfer (HGT) influence primate resistome landscapes and enhance their dissemination potential. A total of 1927 antibiotic resistance ontologies (AROs) distributed across 1477 species-level genome bins (SGBs), providing a comprehensive genomic catalog of the NHPs resistome. Bacterial genera such as Pseudomonas, Stenotrophomonas, and Comamonas drive ARG mobilization, with a core subset of ARGs that reliably predict overall resistance burdens. Notably, widely distributed primate species, with large habitat ranges and frequent interspecies interactions exhibit the most potential for ARG dissemination. Ecological modeling identifies current and future hotspot regions requiring prioritized monitoring amid ongoing human disturbance and climate change. These findings provide a molecular-indicator-based framework for environmental antibiotic resistance (AR) monitoring and conservation strategies for endangered species. Despite limitations in temporal and spatial coverage, our study highlights the need to integrate wildlife, particularly NHPs, as sentinel species into "One Health" AR surveillance and policy. This approach will strengthen our understanding of ARG transmission dynamics and their long-term impacts on host adaptation, ecosystem stability, and public health.
Additional Links: PMID-41616624
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@article {pmid41616624,
year = {2026},
author = {Sun, Y and Zhang, M and Teng, Y and Yin, Y and Ran, J and Su, H and Li, H and Huang, X and Long, Z and Sun, X and Pan, H and Wang, X and Li, M},
title = {Human activities and horizontal gene transfer shape the resistome landscapes of non-human primates.},
journal = {Journal of hazardous materials},
volume = {504},
number = {},
pages = {141276},
doi = {10.1016/j.jhazmat.2026.141276},
pmid = {41616624},
issn = {1873-3336},
abstract = {Antibiotic resistance represents a growing threat to human, animal, and ecosystem health, yet its dynamics in wildlife remain poorly understood. We conducted a systematic analysis of the gut resistomes in non-human primates (NHPs) and environmental soils in Guizhou Province, China, a biodiversity hotspot. Metagenomic analyses reveal that human activities and horizontal gene transfer (HGT) influence primate resistome landscapes and enhance their dissemination potential. A total of 1927 antibiotic resistance ontologies (AROs) distributed across 1477 species-level genome bins (SGBs), providing a comprehensive genomic catalog of the NHPs resistome. Bacterial genera such as Pseudomonas, Stenotrophomonas, and Comamonas drive ARG mobilization, with a core subset of ARGs that reliably predict overall resistance burdens. Notably, widely distributed primate species, with large habitat ranges and frequent interspecies interactions exhibit the most potential for ARG dissemination. Ecological modeling identifies current and future hotspot regions requiring prioritized monitoring amid ongoing human disturbance and climate change. These findings provide a molecular-indicator-based framework for environmental antibiotic resistance (AR) monitoring and conservation strategies for endangered species. Despite limitations in temporal and spatial coverage, our study highlights the need to integrate wildlife, particularly NHPs, as sentinel species into "One Health" AR surveillance and policy. This approach will strengthen our understanding of ARG transmission dynamics and their long-term impacts on host adaptation, ecosystem stability, and public health.},
}
RevDate: 2026-01-29
CmpDate: 2026-01-29
The Airway Microbiome in Chronic Obstructive Pulmonary Disease (COPD): A Guide for Clinicians.
British journal of hospital medicine (London, England : 2005), 87(1):50163.
Chronic obstructive pulmonary disease (COPD) is a progressive and debilitating respiratory condition marked by chronic symptoms and frequent exacerbations, contributing to significant morbidity and mortality. The advent of molecular microbiology and next-generation sequencing (NGS) has expanded our understanding of the lung microbiome, and integration of microbiome datasets with other omics reveals important microbial-metabolic-immuno-inflammatory interactions that influence COPD pathogenesis. Recent studies have highlighted dysbiosis of the airway microbiome, with shifts in bacterial, viral, and fungal communities playing a crucial role in disease progression, exacerbations and clinical outcomes. Moreover, microbiome changes are observed in COPD associated overlap syndromes, complicating diagnosis and treatment. This review synthesizes current microbiome research in COPD, focusing on its clinical relevance, including its potential as a diagnostic and prognostic tool. We additionally discuss the challenges of integrating microbiome data into clinical practice, emphasizing the need for personalized, precision medicine approaches to optimize COPD management and improve patient outcomes.
Additional Links: PMID-41609167
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@article {pmid41609167,
year = {2026},
author = {Koo, WLY and Thng, KX and Tiew, PY and Chotirmall, SH},
title = {The Airway Microbiome in Chronic Obstructive Pulmonary Disease (COPD): A Guide for Clinicians.},
journal = {British journal of hospital medicine (London, England : 2005)},
volume = {87},
number = {1},
pages = {50163},
doi = {10.31083/BJHM50163},
pmid = {41609167},
issn = {1750-8460},
support = {MOH-001636//National Research Foundation Singapore/ ; MOH-001356//Singapore Ministry of Health's National Medical Research Council/ ; MOH-000710//Singapore Ministry of Health's National Medical Research Council/ ; MOH-001275-00//Singapore Ministry of Health's National Medical Research Council/ ; MOH-000955//Singapore Ministry of Health's National Medical Research Council/ ; RT1/22//Singapore Ministry of Education/ ; },
mesh = {Humans ; *Pulmonary Disease, Chronic Obstructive/microbiology/therapy ; *Microbiota ; Dysbiosis/microbiology ; *Lung/microbiology ; Disease Progression ; },
abstract = {Chronic obstructive pulmonary disease (COPD) is a progressive and debilitating respiratory condition marked by chronic symptoms and frequent exacerbations, contributing to significant morbidity and mortality. The advent of molecular microbiology and next-generation sequencing (NGS) has expanded our understanding of the lung microbiome, and integration of microbiome datasets with other omics reveals important microbial-metabolic-immuno-inflammatory interactions that influence COPD pathogenesis. Recent studies have highlighted dysbiosis of the airway microbiome, with shifts in bacterial, viral, and fungal communities playing a crucial role in disease progression, exacerbations and clinical outcomes. Moreover, microbiome changes are observed in COPD associated overlap syndromes, complicating diagnosis and treatment. This review synthesizes current microbiome research in COPD, focusing on its clinical relevance, including its potential as a diagnostic and prognostic tool. We additionally discuss the challenges of integrating microbiome data into clinical practice, emphasizing the need for personalized, precision medicine approaches to optimize COPD management and improve patient outcomes.},
}
MeSH Terms:
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Humans
*Pulmonary Disease, Chronic Obstructive/microbiology/therapy
*Microbiota
Dysbiosis/microbiology
*Lung/microbiology
Disease Progression
RevDate: 2026-01-29
CmpDate: 2026-01-29
Decoding resistome profiles and horizontal transfer of antibiotic resistance genes across the pork production chain under One Health sectors.
Food research international (Ottawa, Ont.), 221(Pt 1):117259.
The emergence of antimicrobial resistance has become a global threat to public health. Intensive antibiotic use in swine farming has accelerated the proliferation of antibiotic resistance genes (ARGs) in animal-derived foods, making the production chain a potential ARG transmission route to humans. However, shared resistome profiles and horizontal gene transfer (HGT) mechanisms along this chain remain unclear. Here, we systematically investigated the resistome profile, ARGs' host, and potential HGT of ARGs across interconnected swine farm, slaughterhouse, and retail market by metagenomic assembly and binning. From 42 metagenomes, 1354 ARG subtypes were identified, with 303 shared across all interfaces. Both microbiome and mobile genetic elements (MGEs) contributed to the variation in ARG profiles. Pseudomonadota were the dominant drivers that shape the resistome through plasmid-mediated HGT. Among the 133 reconstructed ARG-carrying genomes (ACGs), 38 of them carried multiple ARGs, indicating the potential mobility of ARGs. Notably, 3 ACGs taxonomically assigned to Pseudomonas_E alcaligenes, Serratia_J grimesii, and Escherichia coli carrying 9, 13, and 41 ARGs, respectively. Furthermore, MetaCHIP analysis uncovered 445 potential HGT events, and ARGs including CpxR, macB, fusA, and vanR were annotated as potentially transferred subtypes. This study decodes the resistome profiles and tracks horizontal ARG transfer at the community level across the entire pork supply chain - from swine farms to retail outlets. To our knowledge, few studies have explored ARG transmission subtypes and directional flows among humans, pigs, and environmental compartments in the pork production chain using metagenomic approaches. These findings highlight the important role of the pork production chain as a critical transmission vector for ARGs under One Health framework.
Additional Links: PMID-41606855
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PubMed:
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@article {pmid41606855,
year = {2025},
author = {Yang, J and He, Y and Huang, J and Li, M and Wu, X and Pei, X and Yang, X},
title = {Decoding resistome profiles and horizontal transfer of antibiotic resistance genes across the pork production chain under One Health sectors.},
journal = {Food research international (Ottawa, Ont.)},
volume = {221},
number = {Pt 1},
pages = {117259},
doi = {10.1016/j.foodres.2025.117259},
pmid = {41606855},
issn = {1873-7145},
mesh = {*Gene Transfer, Horizontal ; Animals ; Swine ; Anti-Bacterial Agents/pharmacology ; *Drug Resistance, Microbial/genetics ; *One Health ; *Drug Resistance, Bacterial/genetics ; *Pork Meat/microbiology ; Food Microbiology ; Abattoirs ; Metagenome ; Microbiota/genetics ; Metagenomics ; Bacteria/genetics ; },
abstract = {The emergence of antimicrobial resistance has become a global threat to public health. Intensive antibiotic use in swine farming has accelerated the proliferation of antibiotic resistance genes (ARGs) in animal-derived foods, making the production chain a potential ARG transmission route to humans. However, shared resistome profiles and horizontal gene transfer (HGT) mechanisms along this chain remain unclear. Here, we systematically investigated the resistome profile, ARGs' host, and potential HGT of ARGs across interconnected swine farm, slaughterhouse, and retail market by metagenomic assembly and binning. From 42 metagenomes, 1354 ARG subtypes were identified, with 303 shared across all interfaces. Both microbiome and mobile genetic elements (MGEs) contributed to the variation in ARG profiles. Pseudomonadota were the dominant drivers that shape the resistome through plasmid-mediated HGT. Among the 133 reconstructed ARG-carrying genomes (ACGs), 38 of them carried multiple ARGs, indicating the potential mobility of ARGs. Notably, 3 ACGs taxonomically assigned to Pseudomonas_E alcaligenes, Serratia_J grimesii, and Escherichia coli carrying 9, 13, and 41 ARGs, respectively. Furthermore, MetaCHIP analysis uncovered 445 potential HGT events, and ARGs including CpxR, macB, fusA, and vanR were annotated as potentially transferred subtypes. This study decodes the resistome profiles and tracks horizontal ARG transfer at the community level across the entire pork supply chain - from swine farms to retail outlets. To our knowledge, few studies have explored ARG transmission subtypes and directional flows among humans, pigs, and environmental compartments in the pork production chain using metagenomic approaches. These findings highlight the important role of the pork production chain as a critical transmission vector for ARGs under One Health framework.},
}
MeSH Terms:
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*Gene Transfer, Horizontal
Animals
Swine
Anti-Bacterial Agents/pharmacology
*Drug Resistance, Microbial/genetics
*One Health
*Drug Resistance, Bacterial/genetics
*Pork Meat/microbiology
Food Microbiology
Abattoirs
Metagenome
Microbiota/genetics
Metagenomics
Bacteria/genetics
RevDate: 2026-01-30
CmpDate: 2026-01-30
Microbiome of soil waste dumpsite and adjacent river habitat harbors dynamic plastic degrading bacterial diversity and abundant functional enzymes.
The Science of the total environment, 1014:181331.
Landfill leachates and adjacent riverine ecosystems are usually the reservoirs of plastic-derived contaminants and other xenobiotics. Yet these sites are still less explored for their degradation potential. This study employed a whole metagenome analysis to characterize microbial communities and functional genes from the Ghaila municipal dumpsite and the Gomti river, Lucknow, India. Physicochemical analyses revealed neutral to slightly alkaline pH and elevated BOD and COD in downstream river sites, indicating high organic and plastic-associated pollutant loads. Taxonomic profiling identified 57 phyla, dominated by Proteobacteria, Bacteroidetes, Chloroflexi, and Firmicutes, with occurrence of key genera such as Pseudomonas, Acinetobacter, Flavobacterium, and Sphingomonas in abundance. Functional annotation of the metagenomic sequences detected 31 enzymes targeting 24 polymeric substances, including PETase, MHETase, urethanases, laccases, and nylon hydrolases in both dumpsite leachate and sludge (p < 0.05) samples. Antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) were widely distributed, particularly in leachate and sludge, underscoring their role as resistance reservoirs. These findings demonstrate that municipal dumpsite ecosystems are hotspots for plastic and xenobiotic degradation, highlighting their potential as genetic resources for bioremediation and advancing understanding of contaminant-driven microbial adaptation at landfill-river interfaces. NUCLEOTIDE SEQUENCE ACCESSION NUMBER: The complete metagenome sequence has been deposited at NCBI GenBank having accession no: SAMN42678420 to SAMN42678429 (BioProject).
Additional Links: PMID-41529347
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@article {pmid41529347,
year = {2026},
author = {Singh, S and Bajaj, A and Manickam, N},
title = {Microbiome of soil waste dumpsite and adjacent river habitat harbors dynamic plastic degrading bacterial diversity and abundant functional enzymes.},
journal = {The Science of the total environment},
volume = {1014},
number = {},
pages = {181331},
doi = {10.1016/j.scitotenv.2025.181331},
pmid = {41529347},
issn = {1879-1026},
mesh = {*Microbiota ; Biodegradation, Environmental ; Rivers/microbiology ; *Soil Microbiology ; Bacteria/classification ; *Plastics/metabolism ; India ; *Soil Pollutants/metabolism/analysis ; Waste Disposal Facilities ; Water Pollutants, Chemical/analysis ; Biodiversity ; },
abstract = {Landfill leachates and adjacent riverine ecosystems are usually the reservoirs of plastic-derived contaminants and other xenobiotics. Yet these sites are still less explored for their degradation potential. This study employed a whole metagenome analysis to characterize microbial communities and functional genes from the Ghaila municipal dumpsite and the Gomti river, Lucknow, India. Physicochemical analyses revealed neutral to slightly alkaline pH and elevated BOD and COD in downstream river sites, indicating high organic and plastic-associated pollutant loads. Taxonomic profiling identified 57 phyla, dominated by Proteobacteria, Bacteroidetes, Chloroflexi, and Firmicutes, with occurrence of key genera such as Pseudomonas, Acinetobacter, Flavobacterium, and Sphingomonas in abundance. Functional annotation of the metagenomic sequences detected 31 enzymes targeting 24 polymeric substances, including PETase, MHETase, urethanases, laccases, and nylon hydrolases in both dumpsite leachate and sludge (p < 0.05) samples. Antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) were widely distributed, particularly in leachate and sludge, underscoring their role as resistance reservoirs. These findings demonstrate that municipal dumpsite ecosystems are hotspots for plastic and xenobiotic degradation, highlighting their potential as genetic resources for bioremediation and advancing understanding of contaminant-driven microbial adaptation at landfill-river interfaces. NUCLEOTIDE SEQUENCE ACCESSION NUMBER: The complete metagenome sequence has been deposited at NCBI GenBank having accession no: SAMN42678420 to SAMN42678429 (BioProject).},
}
MeSH Terms:
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*Microbiota
Biodegradation, Environmental
Rivers/microbiology
*Soil Microbiology
Bacteria/classification
*Plastics/metabolism
India
*Soil Pollutants/metabolism/analysis
Waste Disposal Facilities
Water Pollutants, Chemical/analysis
Biodiversity
RevDate: 2026-01-30
CmpDate: 2026-01-30
Core microbiota recruited by healthy grapevines enhance resistance against root rot disease.
Genome biology, 27(1):13.
BACKGROUND: Root rot disease caused by fungal pathogens of wine grapevines poses a serious threat to their growth and results in a substantial economic impact on grape industry. The rhizosphere microbiome recruited to plants is critical for mitigating soil-borne pathogens. However, how beneficial microbes influence disease resistance remains unclear.
RESULTS: We investigate the composition and gene functions of microorganisms in wine grapevines with root rot disease and healthy controls by amplicon and metagenomic sequencing. We use culturomics and in vivo experiments to verify the pathogen and beneficial strains to improve plant health. We find that root rot disease in grapevines significantly affects rhizosphere microbiome diversity and composition. The microbial interkingdom network indicates that the disease destabilizes the bacteria-fungi co-occurrence network. We find that plants recruit the potentially beneficial bacteria Pseudomonas, Bacillus and Streptomyces in healthy rhizosphere soil. By culturomics, we confirm that Fusarium solani is the main pathogen causing root rot disease. We further observe that these three key beneficial bacteria from the co-occurrence networks enhance the resistance of grapevines to pathogens. Furthermore, metagenomic analysis reveals that beneficial bacterial strains suppress pathogens by enriching potential functional genes in pathways involved in disease resistance.
CONCLUSIONS: Our findings highlight the critical role of disease resistance pathways of potentially beneficial microorganisms in fighting disease and supporting plant health, offering new insight for the exploration of beneficial microbial resources and providing a basis for the development of biological control of grape root rot disease.
Additional Links: PMID-41491699
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Citation:
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@article {pmid41491699,
year = {2026},
author = {Wang, R and Zhang, W and He, Z and Zhou, Y and Chen, C and Song, K and Shang, Q and Wu, Y and Gu, P and Shu, D and Zhao, L},
title = {Core microbiota recruited by healthy grapevines enhance resistance against root rot disease.},
journal = {Genome biology},
volume = {27},
number = {1},
pages = {13},
pmid = {41491699},
issn = {1474-760X},
support = {2023BCF01026//Key Research and Development Program of Ningxia/ ; 2025NC-YBXM-068//Key Research and Development Projects of Shaanxi Province/ ; 32372501//National Natural Science Foundation of China/ ; },
mesh = {*Vitis/microbiology/genetics ; *Disease Resistance/genetics ; *Microbiota ; *Plant Diseases/microbiology/genetics ; *Plant Roots/microbiology ; Rhizosphere ; Soil Microbiology ; Fusarium/pathogenicity ; Metagenomics ; Bacteria/genetics ; },
abstract = {BACKGROUND: Root rot disease caused by fungal pathogens of wine grapevines poses a serious threat to their growth and results in a substantial economic impact on grape industry. The rhizosphere microbiome recruited to plants is critical for mitigating soil-borne pathogens. However, how beneficial microbes influence disease resistance remains unclear.
RESULTS: We investigate the composition and gene functions of microorganisms in wine grapevines with root rot disease and healthy controls by amplicon and metagenomic sequencing. We use culturomics and in vivo experiments to verify the pathogen and beneficial strains to improve plant health. We find that root rot disease in grapevines significantly affects rhizosphere microbiome diversity and composition. The microbial interkingdom network indicates that the disease destabilizes the bacteria-fungi co-occurrence network. We find that plants recruit the potentially beneficial bacteria Pseudomonas, Bacillus and Streptomyces in healthy rhizosphere soil. By culturomics, we confirm that Fusarium solani is the main pathogen causing root rot disease. We further observe that these three key beneficial bacteria from the co-occurrence networks enhance the resistance of grapevines to pathogens. Furthermore, metagenomic analysis reveals that beneficial bacterial strains suppress pathogens by enriching potential functional genes in pathways involved in disease resistance.
CONCLUSIONS: Our findings highlight the critical role of disease resistance pathways of potentially beneficial microorganisms in fighting disease and supporting plant health, offering new insight for the exploration of beneficial microbial resources and providing a basis for the development of biological control of grape root rot disease.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Vitis/microbiology/genetics
*Disease Resistance/genetics
*Microbiota
*Plant Diseases/microbiology/genetics
*Plant Roots/microbiology
Rhizosphere
Soil Microbiology
Fusarium/pathogenicity
Metagenomics
Bacteria/genetics
RevDate: 2026-01-30
CmpDate: 2026-01-30
Biogeography influences plant-microbe interactions and natural soil suppressiveness to black root rot disease of tobacco.
Genome biology, 27(1):16.
BACKGROUND: In disease-suppressive soils, the rhizosphere microbiota protects plants from root disease(s). However, the soil microbiome follows distinct spatial patterns, and the biogeographic factors shaping plant-microbe interactions and soil suppressiveness remain poorly understood. Here, we use Swiss and Savoie soils suppressive or conducive to Thielaviopsis basicola-mediated black root rot of tobacco, to test the hypothesis that plant-microbe interactions and suppressiveness are influenced by both the geological origin and geographic positioning of soils. Soils are compared based on tobacco health, soil physicochemistry and organic matter profiles, taxonomic and functional microbial diversity, and plant physiological responses.
RESULTS: Soil physicochemistry and metabolomic profiling of soil organic matter show differences based on suppressiveness status, soil geology and geography. The taxonomic (metabarcoding of prokaryotes and fungi) and functional (metagenomics) diversity of the tobacco rhizosphere reveals that the microbiota is influenced by geography and geology which, in turn, affects suppressiveness. Additionally, shoot metabolomics shows that tobacco responses are impacted by soil geography and geology, particularly in Savoie soils regarding two nicotinic derivatives.
CONCLUSIONS: Overall, suppressiveness is influenced by both the geological origin and geographic positioning of the soils, with distinct patterns in the two regions. In Swiss soils, suppressiveness is primarily associated with major differences in rhizosphere microbiota composition and functions between suppressive and conducive soils. In contrast, in Savoie soils, suppressiveness is linked to distinct plant physiological responses (pointing to induced systemic resistance) rather than strong microbial shifts. This study highlights the importance of considering the biogeographic features shaping disease-suppressive soils and their microbiota-plant interactions.
Additional Links: PMID-41457274
PubMed:
Citation:
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@article {pmid41457274,
year = {2025},
author = {Catry, A and Abrouk, D and Fierling, N and Mendoza, AIS and Rey, M and Vesga, P and Heiman, CM and Garrido-Sanz, D and Bouffaud, ML and Buscot, F and Giongo, A and Smalla, K and Comte, G and Keel, C and Muller, D and Moënne-Loccoz, Y},
title = {Biogeography influences plant-microbe interactions and natural soil suppressiveness to black root rot disease of tobacco.},
journal = {Genome biology},
volume = {27},
number = {1},
pages = {16},
pmid = {41457274},
issn = {1474-760X},
support = {BiodivERsA3 ERA-Net SuppressSOIL//Biodiversa+/ ; grant SuppressSOIL no. ANR19-EBI3-0007//Agence Nationale de la Recherche/ ; grant SuppressSOIL no. 31BD30_186540//Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung/ ; grant no. 51NF40_180575//NCCR Microbiomes/ ; BU 941/30-1//Deutsche Forschungsgemeinschaft/ ; project DiControl 031A560A-F//Bundesministerium für Bildung und Forschung/ ; },
mesh = {*Nicotiana/microbiology ; *Soil Microbiology ; Rhizosphere ; *Plant Diseases/microbiology ; Plant Roots/microbiology ; Soil/chemistry ; Microbiota ; },
abstract = {BACKGROUND: In disease-suppressive soils, the rhizosphere microbiota protects plants from root disease(s). However, the soil microbiome follows distinct spatial patterns, and the biogeographic factors shaping plant-microbe interactions and soil suppressiveness remain poorly understood. Here, we use Swiss and Savoie soils suppressive or conducive to Thielaviopsis basicola-mediated black root rot of tobacco, to test the hypothesis that plant-microbe interactions and suppressiveness are influenced by both the geological origin and geographic positioning of soils. Soils are compared based on tobacco health, soil physicochemistry and organic matter profiles, taxonomic and functional microbial diversity, and plant physiological responses.
RESULTS: Soil physicochemistry and metabolomic profiling of soil organic matter show differences based on suppressiveness status, soil geology and geography. The taxonomic (metabarcoding of prokaryotes and fungi) and functional (metagenomics) diversity of the tobacco rhizosphere reveals that the microbiota is influenced by geography and geology which, in turn, affects suppressiveness. Additionally, shoot metabolomics shows that tobacco responses are impacted by soil geography and geology, particularly in Savoie soils regarding two nicotinic derivatives.
CONCLUSIONS: Overall, suppressiveness is influenced by both the geological origin and geographic positioning of the soils, with distinct patterns in the two regions. In Swiss soils, suppressiveness is primarily associated with major differences in rhizosphere microbiota composition and functions between suppressive and conducive soils. In contrast, in Savoie soils, suppressiveness is linked to distinct plant physiological responses (pointing to induced systemic resistance) rather than strong microbial shifts. This study highlights the importance of considering the biogeographic features shaping disease-suppressive soils and their microbiota-plant interactions.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Nicotiana/microbiology
*Soil Microbiology
Rhizosphere
*Plant Diseases/microbiology
Plant Roots/microbiology
Soil/chemistry
Microbiota
RevDate: 2026-01-30
CmpDate: 2026-01-30
Electroconvulsive therapy modulates brain plasticity in male depression: Links to gut microbial metabolites and diet-derived regulation of Wnt/BDNF signaling.
The Journal of nutritional biochemistry, 150:110240.
Electroconvulsive therapy (ECT) stands as the most effective intervention for treatment-resistant depression; however, its interaction with dietary regulation of the gut-brain axis has not been thoroughly explored. This study aimed to elucidate the mechanistic link between ECT, gut microbiota remodeling, short-chain fatty acid (SCFA) production, and neural plasticity. In this study, mice were subjected to chronic restraint stress (6 h/d for 28 consecutive days) to establish a depression-like model. Utilizing a translational approach that incorporated behavioral assessments, multimodal neuroimaging techniques such as PET-CT and laser speckle contrast imaging, along with multiomics analyses including metagenomics, metabolomics, and transcriptomics in rodent models, we demonstrated that ECT induced significant gut microbiota remodeling, characterized by an enrichment of SCFA-producing genera like Lactobacillus and Bifidobacterium. This remodeling was associated with restored intestinal barrier integrity and elevated plasma SCFA levels. Mechanistically, these microbial metabolites activated hippocampal Wnt/β-catenin signaling pathways, enhancing synaptic plasticity restoration, while concurrent probiotic supplementation further amplified brain-derived neurotrophic factor (BDNF) expression via SCFA-dependent epigenetic mechanisms. Neuroimaging corroborated the normalization of cerebral glucose metabolism and hemodynamic function post-ECT. In conclusion, our findings unveil a novel gut-brain communication pathway by which ECT exerts its antidepressant effects, positioning SCFAs as vital mediators connecting microbial metabolic alterations to neural plasticity. This research not only redefines the role of nutritional biochemistry in neuromodulation but also suggests the potential of microbial metabolite monitoring to tailor antidepressant therapies for enhanced efficacy.
Additional Links: PMID-41429195
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@article {pmid41429195,
year = {2026},
author = {Ji, J and Guo, J and Huang, Y and Chen, K and Xu, Y and Liang, W and Lin, Z and Xiong, C and Han, X and Liu, J and Hei, Z and Chen, S and Yao, W and Chen, C},
title = {Electroconvulsive therapy modulates brain plasticity in male depression: Links to gut microbial metabolites and diet-derived regulation of Wnt/BDNF signaling.},
journal = {The Journal of nutritional biochemistry},
volume = {150},
number = {},
pages = {110240},
doi = {10.1016/j.jnutbio.2025.110240},
pmid = {41429195},
issn = {1873-4847},
mesh = {Animals ; Male ; *Gastrointestinal Microbiome/physiology ; *Brain-Derived Neurotrophic Factor/metabolism ; *Neuronal Plasticity ; Mice ; *Electroconvulsive Therapy ; *Depression/therapy/metabolism ; *Wnt Signaling Pathway ; Mice, Inbred C57BL ; Fatty Acids, Volatile/metabolism ; Diet ; Probiotics ; Brain/metabolism ; },
abstract = {Electroconvulsive therapy (ECT) stands as the most effective intervention for treatment-resistant depression; however, its interaction with dietary regulation of the gut-brain axis has not been thoroughly explored. This study aimed to elucidate the mechanistic link between ECT, gut microbiota remodeling, short-chain fatty acid (SCFA) production, and neural plasticity. In this study, mice were subjected to chronic restraint stress (6 h/d for 28 consecutive days) to establish a depression-like model. Utilizing a translational approach that incorporated behavioral assessments, multimodal neuroimaging techniques such as PET-CT and laser speckle contrast imaging, along with multiomics analyses including metagenomics, metabolomics, and transcriptomics in rodent models, we demonstrated that ECT induced significant gut microbiota remodeling, characterized by an enrichment of SCFA-producing genera like Lactobacillus and Bifidobacterium. This remodeling was associated with restored intestinal barrier integrity and elevated plasma SCFA levels. Mechanistically, these microbial metabolites activated hippocampal Wnt/β-catenin signaling pathways, enhancing synaptic plasticity restoration, while concurrent probiotic supplementation further amplified brain-derived neurotrophic factor (BDNF) expression via SCFA-dependent epigenetic mechanisms. Neuroimaging corroborated the normalization of cerebral glucose metabolism and hemodynamic function post-ECT. In conclusion, our findings unveil a novel gut-brain communication pathway by which ECT exerts its antidepressant effects, positioning SCFAs as vital mediators connecting microbial metabolic alterations to neural plasticity. This research not only redefines the role of nutritional biochemistry in neuromodulation but also suggests the potential of microbial metabolite monitoring to tailor antidepressant therapies for enhanced efficacy.},
}
MeSH Terms:
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Animals
Male
*Gastrointestinal Microbiome/physiology
*Brain-Derived Neurotrophic Factor/metabolism
*Neuronal Plasticity
Mice
*Electroconvulsive Therapy
*Depression/therapy/metabolism
*Wnt Signaling Pathway
Mice, Inbred C57BL
Fatty Acids, Volatile/metabolism
Diet
Probiotics
Brain/metabolism
RevDate: 2026-01-30
CmpDate: 2026-01-30
Expanded global groundwater microbial diversity reveals bioprospecting potential.
Cell reports, 45(1):116760.
Although the terrestrial subsurface harbors a substantial fraction of Earth's microbial biomass, the genomic diversity of groundwater microbiomes and their potential for bioprospecting remain poorly characterized. Here, we recovered 44,320 bacterial and archaeal genomes from in-house and publicly available metagenomic datasets, establishing a large-scale groundwater microbiota catalog (GWMC) spanning 167 phyla, including four candidate phyla and over 12,000 previously uncharacterized species. This unprecedented phylogenetic diversity was accompanied by a bimodal genome size distribution (0.3-12.8 Mbp), revealing divergent strategies of genomic allocation. By mining extensive genomic resources, we found that small genomes prioritized molecular defense and redox regulation, whereas large genomes frequently harbored greater biosynthetic potential. Notably, we establish the largest selenoprotein catalog to date and highlight groundwater as an overlooked hotspot of microbial selenium metabolism. Overall, this work advances our understanding of microbial diversity in aquifers and uncovers underexplored genomic resources with potential for biotechnology and biomedicine.
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@article {pmid41428487,
year = {2026},
author = {Deng, C and Hu, J and Chen, Q and Zhou, S and Ni, J},
title = {Expanded global groundwater microbial diversity reveals bioprospecting potential.},
journal = {Cell reports},
volume = {45},
number = {1},
pages = {116760},
doi = {10.1016/j.celrep.2025.116760},
pmid = {41428487},
issn = {2211-1247},
mesh = {*Groundwater/microbiology ; Phylogeny ; *Bacteria/genetics/classification ; *Microbiota/genetics ; *Bioprospecting ; Archaea/genetics/classification ; Genome, Bacterial/genetics ; Genome, Archaeal/genetics ; Biodiversity ; Metagenomics ; Metagenome ; },
abstract = {Although the terrestrial subsurface harbors a substantial fraction of Earth's microbial biomass, the genomic diversity of groundwater microbiomes and their potential for bioprospecting remain poorly characterized. Here, we recovered 44,320 bacterial and archaeal genomes from in-house and publicly available metagenomic datasets, establishing a large-scale groundwater microbiota catalog (GWMC) spanning 167 phyla, including four candidate phyla and over 12,000 previously uncharacterized species. This unprecedented phylogenetic diversity was accompanied by a bimodal genome size distribution (0.3-12.8 Mbp), revealing divergent strategies of genomic allocation. By mining extensive genomic resources, we found that small genomes prioritized molecular defense and redox regulation, whereas large genomes frequently harbored greater biosynthetic potential. Notably, we establish the largest selenoprotein catalog to date and highlight groundwater as an overlooked hotspot of microbial selenium metabolism. Overall, this work advances our understanding of microbial diversity in aquifers and uncovers underexplored genomic resources with potential for biotechnology and biomedicine.},
}
MeSH Terms:
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*Groundwater/microbiology
Phylogeny
*Bacteria/genetics/classification
*Microbiota/genetics
*Bioprospecting
Archaea/genetics/classification
Genome, Bacterial/genetics
Genome, Archaeal/genetics
Biodiversity
Metagenomics
Metagenome
RevDate: 2026-01-30
CmpDate: 2026-01-30
Altered Gut Microbiota in Pediatric Quiescent Crohn's Disease Patients with Iron Deficiency Anemia.
Inflammatory bowel diseases, 32(2):303-313.
BACKGROUND: Iron deficiency anemia (IDA) is the most common extra-intestinal complication in inflammatory bowel disease (IBD). The persistence of iron deficiency in patients living with quiescent IBD remains poorly understood. Given the extensive body of research linking IBD pathogenesis to microbiome disruptions, it is hypothesized that alterations in the microbiota or immune responses may drive the persistence of IDA in quiescent Crohn's disease. This study aimed to determine whether changes in the gut microbiota or immune phenotypes contribute to IDA, while uncovering potential mechanisms driving IDA in quiescent disease.
METHODS: This cross-sectional, descriptive, and analytical study utilized 141 samples from pediatric Crohn's disease patients with and without iron deficiency as well as healthy controls for initial 16S microbiome analysis and a smaller subset for Shotgun Metagenomics and immunologic analyses. Fecal and peripheral blood samples were obtained from the Jill Roberts Institute Live Cell Bank.
RESULTS: While no major differences were observed in the overall gut microbiome composition between pediatric patients with quiescent Crohn's disease, with or without IDA, notable shifts in specific microbial strains were identified. Specifically, levels of Anaerobutyricum soehngenii and Alistipes shahii were significantly altered. Metagenomic analysis revealed an enrichment of pathways related to short-chain fatty acid metabolism and ascorbate degradation, indicative of functional change in these microbes.
CONCLUSIONS: This is the first comprehensive microbiome analysis of quiescent pediatric Crohn's disease with concomitant IDA. The findings indicate modest but significant microbial strain-level differences and associated functional pathways, potentially implicating microbiota-mediated mechanisms in the persistence of IDA.
Additional Links: PMID-41423811
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@article {pmid41423811,
year = {2026},
author = {Gordon, ES and Goc, J and Grier, A and Thomas, C and , and Lentine, J and Sockolow, RE and Sonnenberg, GF},
title = {Altered Gut Microbiota in Pediatric Quiescent Crohn's Disease Patients with Iron Deficiency Anemia.},
journal = {Inflammatory bowel diseases},
volume = {32},
number = {2},
pages = {303-313},
doi = {10.1093/ibd/izaf295},
pmid = {41423811},
issn = {1536-4844},
support = {//Weill Cornell Medicine Department of Pediatrics/ ; R01AI143842/NH/NIH HHS/United States ; R01AI123368/NH/NIH HHS/United States ; R01AI145989/NH/NIH HHS/United States ; U01AI095608/NH/NIH HHS/United States ; R01AI162936/NH/NIH HHS/United States ; R01CA274534/NH/NIH HHS/United States ; R37AI174468/NH/NIH HHS/United States ; //Pathogenesis of Infectious Disease/ ; //Burroughs Welcome Fund/ ; //Meyer Cancer Center Collaborative Research Initiative/ ; //Dalton Family Foundation/ ; //Rosanne H. Silbermann Foundation/ ; //Weill Cornell Medicine Division of Pediatric Gastroenterology and Nutrition/ ; },
mesh = {Humans ; *Crohn Disease/microbiology/complications ; *Gastrointestinal Microbiome ; Male ; Female ; Child ; *Anemia, Iron-Deficiency/microbiology/etiology ; Cross-Sectional Studies ; Adolescent ; Case-Control Studies ; Feces/microbiology ; Metagenomics ; RNA, Ribosomal, 16S/genetics ; },
abstract = {BACKGROUND: Iron deficiency anemia (IDA) is the most common extra-intestinal complication in inflammatory bowel disease (IBD). The persistence of iron deficiency in patients living with quiescent IBD remains poorly understood. Given the extensive body of research linking IBD pathogenesis to microbiome disruptions, it is hypothesized that alterations in the microbiota or immune responses may drive the persistence of IDA in quiescent Crohn's disease. This study aimed to determine whether changes in the gut microbiota or immune phenotypes contribute to IDA, while uncovering potential mechanisms driving IDA in quiescent disease.
METHODS: This cross-sectional, descriptive, and analytical study utilized 141 samples from pediatric Crohn's disease patients with and without iron deficiency as well as healthy controls for initial 16S microbiome analysis and a smaller subset for Shotgun Metagenomics and immunologic analyses. Fecal and peripheral blood samples were obtained from the Jill Roberts Institute Live Cell Bank.
RESULTS: While no major differences were observed in the overall gut microbiome composition between pediatric patients with quiescent Crohn's disease, with or without IDA, notable shifts in specific microbial strains were identified. Specifically, levels of Anaerobutyricum soehngenii and Alistipes shahii were significantly altered. Metagenomic analysis revealed an enrichment of pathways related to short-chain fatty acid metabolism and ascorbate degradation, indicative of functional change in these microbes.
CONCLUSIONS: This is the first comprehensive microbiome analysis of quiescent pediatric Crohn's disease with concomitant IDA. The findings indicate modest but significant microbial strain-level differences and associated functional pathways, potentially implicating microbiota-mediated mechanisms in the persistence of IDA.},
}
MeSH Terms:
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Humans
*Crohn Disease/microbiology/complications
*Gastrointestinal Microbiome
Male
Female
Child
*Anemia, Iron-Deficiency/microbiology/etiology
Cross-Sectional Studies
Adolescent
Case-Control Studies
Feces/microbiology
Metagenomics
RNA, Ribosomal, 16S/genetics
RevDate: 2026-01-30
CmpDate: 2026-01-30
Characterization of gut microbiomes in rural Honduras reveals uncharacterized species and associations with human genetic variation.
Cell reports, 45(1):116724.
The gut microbiome is integral to human health, yet research data to date have emphasized industrialized populations. Here, we performed large-scale shotgun metagenomic sequencing on 1,893 individuals from rural Honduras, providing the most comprehensive microbiome dataset from Central America. We identify a distinct microbial composition enriched in Prevotella species. Longitudinal analysis in 301 individuals reveals microbiome instability, with shifts in taxonomic diversity and metabolic potential, including changes associated with severe acute respiratory syndrome coronavirus 2 infection. Additionally, we characterize the gut virome and eukaryotic microbiome, identifying uncharacterized viral taxa and a high prevalence of Blastocystis species in individuals with greater microbial diversity. Finally, by integrating host genomic data, we uncover significant host-microbiome associations, highlighting the influence of human genetic variation on microbial composition. These findings expand our understanding of microbiome diversity in non-industrialized populations, underscoring the need for global microbiome research.
Additional Links: PMID-41420859
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Citation:
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@article {pmid41420859,
year = {2026},
author = {Beghini, F and Brito, IL and Gerstein, M and Christakis, NA},
title = {Characterization of gut microbiomes in rural Honduras reveals uncharacterized species and associations with human genetic variation.},
journal = {Cell reports},
volume = {45},
number = {1},
pages = {116724},
doi = {10.1016/j.celrep.2025.116724},
pmid = {41420859},
issn = {2211-1247},
mesh = {Humans ; Honduras ; *Gastrointestinal Microbiome/genetics ; *Genetic Variation ; Rural Population ; Male ; Female ; COVID-19/virology/microbiology ; Adult ; Metagenomics ; Middle Aged ; SARS-CoV-2 ; Metagenome ; },
abstract = {The gut microbiome is integral to human health, yet research data to date have emphasized industrialized populations. Here, we performed large-scale shotgun metagenomic sequencing on 1,893 individuals from rural Honduras, providing the most comprehensive microbiome dataset from Central America. We identify a distinct microbial composition enriched in Prevotella species. Longitudinal analysis in 301 individuals reveals microbiome instability, with shifts in taxonomic diversity and metabolic potential, including changes associated with severe acute respiratory syndrome coronavirus 2 infection. Additionally, we characterize the gut virome and eukaryotic microbiome, identifying uncharacterized viral taxa and a high prevalence of Blastocystis species in individuals with greater microbial diversity. Finally, by integrating host genomic data, we uncover significant host-microbiome associations, highlighting the influence of human genetic variation on microbial composition. These findings expand our understanding of microbiome diversity in non-industrialized populations, underscoring the need for global microbiome research.},
}
MeSH Terms:
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Humans
Honduras
*Gastrointestinal Microbiome/genetics
*Genetic Variation
Rural Population
Male
Female
COVID-19/virology/microbiology
Adult
Metagenomics
Middle Aged
SARS-CoV-2
Metagenome
RevDate: 2026-01-30
CmpDate: 2026-01-30
Reconstruction of 2,965 Microbial Genomes from Mangrove Sediments across Guangxi, China.
Scientific data, 13(1):125.
Mangrove sediments, being organic-rich and anoxic, host diverse and functionally important microorganisms that play crucial roles in global biogeochemical cycling. In order to characterize this diversity at the genome-resolved level, we collected 38 sediment samples encompassing both surface (0-5 cm) and core (up to 90 cm) depths from six representative mangrove sites across Guangxi Province, China. Using a standardized pipeline for assembly, binning, and dereplication, we reconstructed 2,965 non-redundant metagenome-assembled genomes (MAGs), comprising 2,383 bacterial and 582 archaeal genomes spanning 78 microbial phyla. This dataset captures the high microbial diversity and functional potential within mangrove sediments under variable environmental conditions. It provides a valuable genomic resource for investigating the structure, metabolism, and ecological roles of sediment microbial communities in intertidal, nutrient-rich ecosystems, supporting future studies on microbial adaptation and biogeochemical cycling in global blue carbon environments.
Additional Links: PMID-41419779
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@article {pmid41419779,
year = {2025},
author = {Liu, Y and Chen, S and Li, H and Mahtab, N and Sun, Y and Li, Y and Song, J and Sun, D and Liang, M and Chen, J and Sun, J and Gong, B and Jing, J and Bu, R},
title = {Reconstruction of 2,965 Microbial Genomes from Mangrove Sediments across Guangxi, China.},
journal = {Scientific data},
volume = {13},
number = {1},
pages = {125},
pmid = {41419779},
issn = {2052-4463},
support = {2024GXNSFBA010371//Natural Science Foundation of Guangxi Province (Guangxi Natural Science Foundation)/ ; 2025GXNSFHA069226//Natural Science Foundation of Guangxi Province (Guangxi Natural Science Foundation)/ ; 2025GXNSFHA069232//Natural Science Foundation of Guangxi Province (Guangxi Natural Science Foundation)/ ; },
mesh = {China ; *Geologic Sediments/microbiology ; Wetlands ; Archaea/genetics ; *Genome, Bacterial ; *Genome, Microbial ; *Genome, Archaeal ; Bacteria/genetics/classification ; Metagenome ; Microbiota ; },
abstract = {Mangrove sediments, being organic-rich and anoxic, host diverse and functionally important microorganisms that play crucial roles in global biogeochemical cycling. In order to characterize this diversity at the genome-resolved level, we collected 38 sediment samples encompassing both surface (0-5 cm) and core (up to 90 cm) depths from six representative mangrove sites across Guangxi Province, China. Using a standardized pipeline for assembly, binning, and dereplication, we reconstructed 2,965 non-redundant metagenome-assembled genomes (MAGs), comprising 2,383 bacterial and 582 archaeal genomes spanning 78 microbial phyla. This dataset captures the high microbial diversity and functional potential within mangrove sediments under variable environmental conditions. It provides a valuable genomic resource for investigating the structure, metabolism, and ecological roles of sediment microbial communities in intertidal, nutrient-rich ecosystems, supporting future studies on microbial adaptation and biogeochemical cycling in global blue carbon environments.},
}
MeSH Terms:
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China
*Geologic Sediments/microbiology
Wetlands
Archaea/genetics
*Genome, Bacterial
*Genome, Microbial
*Genome, Archaeal
Bacteria/genetics/classification
Metagenome
Microbiota
RevDate: 2026-01-30
CmpDate: 2026-01-30
Exploring the gut microbiome in systemic lupus erythematosus: metagenomic and metabolomic insights into a new pro-inflammatory bacteria Clostridium scindens.
Clinical rheumatology, 45(2):857-873.
OBJECTIVES: Systemic lupus erythematosus (SLE) is a complex autoimmune disease with unclear pathogenesis. Emerging evidence indicates that the gut microbiome may play a critical role in immune regulation. This study aimed to investigate gut microbiome and metabolome alterations in SLE patients, with a focus on the pro-inflammatory bacterium Clostridium scindens (C. scindens), and explore its potential contribution to disease pathogenesis.
METHOD: We performed metagenomic sequencing to analyze gut microbial composition in SLE patients and healthy controls, alongside untargeted metabolomic profiling of peripheral blood to assess systemic metabolic changes. We examined species diversity, taxonomic differences at both phylum and species levels, and metabolic alterations. Statistical analyses identified significant associations and potential diagnostic markers.
RESULTS: SLE patients did not show a consistent reduction in species diversity, but exhibited significant microbial compositional differences compared to healthy controls. These patterns suggest potential diagnostic utility. Metabolomic analysis revealed systemic metabolic disturbances linked to gut dysbiosis. Ruminococcus gnavus was associated with altered amino acid, lactose, and sphingolipid metabolism, potentially affecting host immunity. Notably, C. scindens appeared to contribute to immune dysregulation via bile acid metabolism.
CONCLUSIONS: This study reveals distinct microbial and metabolic profiles in SLE, identifying C. scindens as a potential driver of immune imbalance. The findings suggest that targeting the gut microbiome could offer novel strategies for diagnosis and therapeutic intervention in SLE. Key Points • Gut microbial composition is significantly altered in SLE patients compared to healthy controls. • Metabolomic profiling reveals systemic disturbances linked to gut dysbiosis. • Clostridium scindens is associated with bile acid metabolism and immune dysregulation in SLE. • The gut microbiome may serve as a potential target for diagnosis and treatment in SLE.
Additional Links: PMID-41408023
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@article {pmid41408023,
year = {2026},
author = {Wang, H and Zhang, M and Hua, B and He, J and Yang, Y and Wu, W and Zhang, Y and Wei, F and Cai, Y and Wang, Q},
title = {Exploring the gut microbiome in systemic lupus erythematosus: metagenomic and metabolomic insights into a new pro-inflammatory bacteria Clostridium scindens.},
journal = {Clinical rheumatology},
volume = {45},
number = {2},
pages = {857-873},
pmid = {41408023},
issn = {1434-9949},
support = {C2301008,C2404002//Shenzhen Medical Research Fund/ ; 2023B1515230002//Guangdong Basic and Applied Basic Research Foundation/ ; 2023A1515010294//Guangdong Basic and Applied Basic Research Foundation/ ; 0102018-2019-YBXM-1499-01-0414//Treatment and Prevention Integration Project of Shenzhen Municipal Health Commission/ ; SZSM202311030//Sanming Project of Medicine in Shenzhen/ ; No. NSFC 82302037//The National Natural Science Foundation of China/ ; KYQD2024355//Shenzhen High-level Hospital Construction Fund and Peking University Shenzhen Hospital Scientific Research Fund/ ; },
mesh = {Humans ; *Lupus Erythematosus, Systemic/microbiology/metabolism ; *Gastrointestinal Microbiome ; *Clostridium/genetics ; Female ; Adult ; Male ; Middle Aged ; Metagenomics ; Metabolomics ; Case-Control Studies ; Metabolome ; Dysbiosis/microbiology ; Eubacteriales ; },
abstract = {OBJECTIVES: Systemic lupus erythematosus (SLE) is a complex autoimmune disease with unclear pathogenesis. Emerging evidence indicates that the gut microbiome may play a critical role in immune regulation. This study aimed to investigate gut microbiome and metabolome alterations in SLE patients, with a focus on the pro-inflammatory bacterium Clostridium scindens (C. scindens), and explore its potential contribution to disease pathogenesis.
METHOD: We performed metagenomic sequencing to analyze gut microbial composition in SLE patients and healthy controls, alongside untargeted metabolomic profiling of peripheral blood to assess systemic metabolic changes. We examined species diversity, taxonomic differences at both phylum and species levels, and metabolic alterations. Statistical analyses identified significant associations and potential diagnostic markers.
RESULTS: SLE patients did not show a consistent reduction in species diversity, but exhibited significant microbial compositional differences compared to healthy controls. These patterns suggest potential diagnostic utility. Metabolomic analysis revealed systemic metabolic disturbances linked to gut dysbiosis. Ruminococcus gnavus was associated with altered amino acid, lactose, and sphingolipid metabolism, potentially affecting host immunity. Notably, C. scindens appeared to contribute to immune dysregulation via bile acid metabolism.
CONCLUSIONS: This study reveals distinct microbial and metabolic profiles in SLE, identifying C. scindens as a potential driver of immune imbalance. The findings suggest that targeting the gut microbiome could offer novel strategies for diagnosis and therapeutic intervention in SLE. Key Points • Gut microbial composition is significantly altered in SLE patients compared to healthy controls. • Metabolomic profiling reveals systemic disturbances linked to gut dysbiosis. • Clostridium scindens is associated with bile acid metabolism and immune dysregulation in SLE. • The gut microbiome may serve as a potential target for diagnosis and treatment in SLE.},
}
MeSH Terms:
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Humans
*Lupus Erythematosus, Systemic/microbiology/metabolism
*Gastrointestinal Microbiome
*Clostridium/genetics
Female
Adult
Male
Middle Aged
Metagenomics
Metabolomics
Case-Control Studies
Metabolome
Dysbiosis/microbiology
Eubacteriales
RevDate: 2026-01-30
CmpDate: 2026-01-30
The role of the urinary microbiome in diabetes-associated UTIs: current understanding and future directions.
Journal of basic and clinical physiology and pharmacology, 37(1):9-24.
This review explores the interplay between type 2 diabetes mellitus (T2DM) and urinary microbiome dysbiosis, focusing on its role in urinary tract infections (UTIs). Once considered sterile, the urinary tract hosts a diverse microbiota that supports mucosal immunity and pathogen resistance. In T2DM, chronic hyperglycemia and glycosuria disrupt microbial balance, impair immune responses, and increase UTI susceptibility. Glycosuria promotes pathogenic colonization, biofilm formation, and microbial shifts, with studies reporting a threefold rise in Escherichia coli and a 56 % reduction in Lactobacillus spp. in diabetic women with recurrent UTIs. Diabetic urine shows reduced diversity, higher abundance of Klebsiella, Pseudomonas, and Enterococcus, and elevated IL-8. Microbiota-targeted interventions, including probiotics (Lactobacillus crispatus, Lactobacillus rhamnosus GR-1), prebiotics (astaxanthin), and phytotherapeutics (cranberry), demonstrate potential via lactic acid, hydrogen peroxide production, competitive exclusion, and NF-κB modulation. A 12-month RCT showed significant UTI recurrence reduction with probiotics. Advances in 16 S rRNA sequencing and metagenomics reveal microbial signatures associated with diabetic UTIs, though methodological heterogeneity limits comparability. A review of 1,200 publications (2000-2024) highlights the need for longitudinal studies and precision microbiota therapeutics to translate findings into clinical practice.
Additional Links: PMID-41250628
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@article {pmid41250628,
year = {2026},
author = {Yathindra, MR and Badugu, R and Singh, SK and Paluri, S and Poudala, H and Swathi, NL},
title = {The role of the urinary microbiome in diabetes-associated UTIs: current understanding and future directions.},
journal = {Journal of basic and clinical physiology and pharmacology},
volume = {37},
number = {1},
pages = {9-24},
pmid = {41250628},
issn = {2191-0286},
mesh = {Humans ; *Diabetes Mellitus, Type 2/microbiology/complications ; *Microbiota/physiology ; Probiotics/therapeutic use/administration & dosage ; *Urinary Tract Infections/microbiology ; Dysbiosis/microbiology ; Prebiotics/administration & dosage ; Animals ; *Urinary Tract/microbiology ; Female ; },
abstract = {This review explores the interplay between type 2 diabetes mellitus (T2DM) and urinary microbiome dysbiosis, focusing on its role in urinary tract infections (UTIs). Once considered sterile, the urinary tract hosts a diverse microbiota that supports mucosal immunity and pathogen resistance. In T2DM, chronic hyperglycemia and glycosuria disrupt microbial balance, impair immune responses, and increase UTI susceptibility. Glycosuria promotes pathogenic colonization, biofilm formation, and microbial shifts, with studies reporting a threefold rise in Escherichia coli and a 56 % reduction in Lactobacillus spp. in diabetic women with recurrent UTIs. Diabetic urine shows reduced diversity, higher abundance of Klebsiella, Pseudomonas, and Enterococcus, and elevated IL-8. Microbiota-targeted interventions, including probiotics (Lactobacillus crispatus, Lactobacillus rhamnosus GR-1), prebiotics (astaxanthin), and phytotherapeutics (cranberry), demonstrate potential via lactic acid, hydrogen peroxide production, competitive exclusion, and NF-κB modulation. A 12-month RCT showed significant UTI recurrence reduction with probiotics. Advances in 16 S rRNA sequencing and metagenomics reveal microbial signatures associated with diabetic UTIs, though methodological heterogeneity limits comparability. A review of 1,200 publications (2000-2024) highlights the need for longitudinal studies and precision microbiota therapeutics to translate findings into clinical practice.},
}
MeSH Terms:
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hide MeSH Terms
Humans
*Diabetes Mellitus, Type 2/microbiology/complications
*Microbiota/physiology
Probiotics/therapeutic use/administration & dosage
*Urinary Tract Infections/microbiology
Dysbiosis/microbiology
Prebiotics/administration & dosage
Animals
*Urinary Tract/microbiology
Female
RevDate: 2026-01-30
CmpDate: 2026-01-30
Assessment of glymphatic dysfunction in ulcerative colitis using DKI-ALPS: An innovative imaging biomarker.
Journal of neuroradiology = Journal de neuroradiologie, 53(1):101402.
PURPOSE: Ulcerative colitis (UC) is associated with higher anxiety, depression, and cognitive disorders linked to brain glymphatic dysfunction. In this study, we used along-the-perivascular-space (ALPS) index (based on DTI and DKI) to determine if UC relates to glymphatic dysfunction and explore how microbiota dysbiosis and inflammation affect brain glymphatic function.
MATERIALS AND METHODS: In this study, 63 patients with UC and 68 healthy controls underwent 3-Tesla MRI scans to evaluate DTI-ALPS and DKI-ALPS index. The protocol included diffusion-weighted imaging (DWI) and diffusion kurtosis imaging (DKI) sequences to calculate the ALPS index, which quantifies glymphatic system function. All participants completed cognitive (MMSE) and depression (SAS/SDS) assessments (SAS/SDS). Patients with UC also underwent assessment for inflammation and gut microbiota (based on metagenomic analysis). Data analysis was performed using correlation analysis and linear regression.
RESULTS: Patients with UC showed lower DTI-ALPS index (1.25) and DKI-ALPS index (1.40) compared to controls (1.40 vs. 1.69; P < 0.001). In multi-adjusted linear regression models, UC was associated with lower DTI-ALPS index and DKI-ALPS index (β =-0.142 vs.-0.284), with DKI-ALPS showing higher sensitivity. The results remained significant even after stratification by age and sex. The Mayo score correlated negatively with DTI and DKI-ALPS index. The ALPS index correlates with gut microbiota, particularly those involved in butyrate and short-chain fatty acid (SCFA) production. DTI-ALPS index was significantly correlated with ESR (β =-0.003), CRP (β =-0.035), SII (β =-0.062), INFLA (β =-0.010), and SIRI (β =-0.058). We also observed significant correlations between DKI ALPS index and ESR (β =-0.006), CRP (β =-0.051), SII (β =-0.130), INFLA (β =-0.017), SIRI (β =-0.095), IL-6 (β =-0.081) and NLR (β =-0.108).
CONCLUSIONS: UC is associated with brain glymphatic dysfunction, correlating with inflammation level. DKI-ALPS serves as a more sensitive method than DTI-ALPS, offering a new approach for managing ulcerative colitis through glymphatic dysfunction.
Additional Links: PMID-41205408
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@article {pmid41205408,
year = {2026},
author = {Bao, C and Ma, Y and Li, M and Li, Y and Zhang, C and Liu, X and Fan, R and Cui, W and Fan, X and Zheng, F and Duan, F and Liu, J},
title = {Assessment of glymphatic dysfunction in ulcerative colitis using DKI-ALPS: An innovative imaging biomarker.},
journal = {Journal of neuroradiology = Journal de neuroradiologie},
volume = {53},
number = {1},
pages = {101402},
doi = {10.1016/j.neurad.2025.101402},
pmid = {41205408},
issn = {0150-9861},
mesh = {Humans ; *Colitis, Ulcerative/diagnostic imaging/physiopathology/microbiology/complications ; Male ; Female ; Adult ; Middle Aged ; *Glymphatic System/diagnostic imaging/physiopathology ; Biomarkers ; Gastrointestinal Microbiome ; *Diffusion Magnetic Resonance Imaging/methods ; Case-Control Studies ; *Diffusion Tensor Imaging/methods ; },
abstract = {PURPOSE: Ulcerative colitis (UC) is associated with higher anxiety, depression, and cognitive disorders linked to brain glymphatic dysfunction. In this study, we used along-the-perivascular-space (ALPS) index (based on DTI and DKI) to determine if UC relates to glymphatic dysfunction and explore how microbiota dysbiosis and inflammation affect brain glymphatic function.
MATERIALS AND METHODS: In this study, 63 patients with UC and 68 healthy controls underwent 3-Tesla MRI scans to evaluate DTI-ALPS and DKI-ALPS index. The protocol included diffusion-weighted imaging (DWI) and diffusion kurtosis imaging (DKI) sequences to calculate the ALPS index, which quantifies glymphatic system function. All participants completed cognitive (MMSE) and depression (SAS/SDS) assessments (SAS/SDS). Patients with UC also underwent assessment for inflammation and gut microbiota (based on metagenomic analysis). Data analysis was performed using correlation analysis and linear regression.
RESULTS: Patients with UC showed lower DTI-ALPS index (1.25) and DKI-ALPS index (1.40) compared to controls (1.40 vs. 1.69; P < 0.001). In multi-adjusted linear regression models, UC was associated with lower DTI-ALPS index and DKI-ALPS index (β =-0.142 vs.-0.284), with DKI-ALPS showing higher sensitivity. The results remained significant even after stratification by age and sex. The Mayo score correlated negatively with DTI and DKI-ALPS index. The ALPS index correlates with gut microbiota, particularly those involved in butyrate and short-chain fatty acid (SCFA) production. DTI-ALPS index was significantly correlated with ESR (β =-0.003), CRP (β =-0.035), SII (β =-0.062), INFLA (β =-0.010), and SIRI (β =-0.058). We also observed significant correlations between DKI ALPS index and ESR (β =-0.006), CRP (β =-0.051), SII (β =-0.130), INFLA (β =-0.017), SIRI (β =-0.095), IL-6 (β =-0.081) and NLR (β =-0.108).
CONCLUSIONS: UC is associated with brain glymphatic dysfunction, correlating with inflammation level. DKI-ALPS serves as a more sensitive method than DTI-ALPS, offering a new approach for managing ulcerative colitis through glymphatic dysfunction.},
}
MeSH Terms:
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Humans
*Colitis, Ulcerative/diagnostic imaging/physiopathology/microbiology/complications
Male
Female
Adult
Middle Aged
*Glymphatic System/diagnostic imaging/physiopathology
Biomarkers
Gastrointestinal Microbiome
*Diffusion Magnetic Resonance Imaging/methods
Case-Control Studies
*Diffusion Tensor Imaging/methods
RevDate: 2026-01-30
CmpDate: 2026-01-30
A Multiomics Analysis Reveals a Gut Microbiome: LPC Metabolic Axis Driving Postoperative Inflammation in Cardiopulmonary Bypass Patients.
Shock (Augusta, Ga.), 65(2):188-200.
BACKGROUND: Patients undergoing cardiac surgery with cardiopulmonary bypass (CSCPB) are at substantial postoperative risk, which may be influenced by alterations in gut microbiota and metabolites. The roles of these biological changes in postoperative outcomes remain inadequately explored.
METHODS: We collected 54 preoperative samples and 33 postoperative samples from 60 CSCPB patients. Metagenomic and metabolomic sequencing were performed to identify the gut microbiota and serum and fecal metabolites. We examined the dynamic pattern of these microbiota and metabolites, as well as their associations with the postoperative risks. Additionally, we developed a predictive model for postoperative risk based on preoperative microbiome and metabolome data.
RESULTS: We revealed significant alterations of gut microbiota (P = 0.012), serum metabolites (P = 3.50 e-10), and fecal metabolites (P = 0.0081) in patients following CSCPB, among which lysophosphatidylcholines (LPCs) exhibited notable changes. Particularly, we identified a potential regulatory function of the microbiota on LPC metabolism, which further influences the postoperative risk. The predictive model for intensive care unit stay duration achieved a mean absolute error of 1.27 days and an R² of 0.63, suggesting its utility in assessing postoperative risk. Also, our study provides a valuable resource (catalogue GM3C) for further investigation into potential medical targets in CSCPB patients, comprising more than 2,000 metagenome-assembled genomes and 3 million unigenes.
CONCLUSIONS: Our study reveals that the gut microbiome and LPC-centered metabolism form a functional network influencing postoperative risk in CSCPB patients. These findings underscore the role of gut-derived signals in modulating noninfectious inflammatory responses and host imbalance, offering a multiomics framework for decoding systemic complications beyond classical sepsis paradigms.
TRIAL REGISTRATION: ClinicalTrials.gov (NCT04032938). Registered 25 July 2019, https://clinicaltrials.gov/study/NCT04032938#study-record-dates .
Additional Links: PMID-41166145
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PubMed:
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@article {pmid41166145,
year = {2026},
author = {Ding, W and Zhang, H and Wen, J and Xiong, G and Cheng, M and Liu, J and Zhao, Y and Miao, Q and Deng, H and Xu, Z and Mi, L and Tan, Z and Su, L and Long, Y and Ning, K},
title = {A Multiomics Analysis Reveals a Gut Microbiome: LPC Metabolic Axis Driving Postoperative Inflammation in Cardiopulmonary Bypass Patients.},
journal = {Shock (Augusta, Ga.)},
volume = {65},
number = {2},
pages = {188-200},
doi = {10.1097/SHK.0000000000002722},
pmid = {41166145},
issn = {1540-0514},
support = {2023YFA1800900//the National Key R&D Program of China/ ; 2018YFC0910502//the National Key R&D Program of China/ ; 32071465//the National Natural Science Foundation of China/ ; 31871334//the National Natural Science Foundation of China/ ; 31671374//the National Natural Science Foundation of China/ ; 2022-PUMCH-B-115//National High-Level Hospital Clinical Research Founding/ ; 2022-PUMCH-D-005//National High-Level Hospital Clinical Research Founding/ ; 2023â€I2Mâ€2â€002//CAMS Innovation Fund for Medical Sciences/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome/physiology ; Female ; Male ; *Cardiopulmonary Bypass/adverse effects ; Middle Aged ; Aged ; *Inflammation/metabolism/etiology ; *Postoperative Complications/metabolism/microbiology ; *Lysophosphatidylcholines/metabolism ; Metabolomics ; Metabolome ; Multiomics ; },
abstract = {BACKGROUND: Patients undergoing cardiac surgery with cardiopulmonary bypass (CSCPB) are at substantial postoperative risk, which may be influenced by alterations in gut microbiota and metabolites. The roles of these biological changes in postoperative outcomes remain inadequately explored.
METHODS: We collected 54 preoperative samples and 33 postoperative samples from 60 CSCPB patients. Metagenomic and metabolomic sequencing were performed to identify the gut microbiota and serum and fecal metabolites. We examined the dynamic pattern of these microbiota and metabolites, as well as their associations with the postoperative risks. Additionally, we developed a predictive model for postoperative risk based on preoperative microbiome and metabolome data.
RESULTS: We revealed significant alterations of gut microbiota (P = 0.012), serum metabolites (P = 3.50 e-10), and fecal metabolites (P = 0.0081) in patients following CSCPB, among which lysophosphatidylcholines (LPCs) exhibited notable changes. Particularly, we identified a potential regulatory function of the microbiota on LPC metabolism, which further influences the postoperative risk. The predictive model for intensive care unit stay duration achieved a mean absolute error of 1.27 days and an R² of 0.63, suggesting its utility in assessing postoperative risk. Also, our study provides a valuable resource (catalogue GM3C) for further investigation into potential medical targets in CSCPB patients, comprising more than 2,000 metagenome-assembled genomes and 3 million unigenes.
CONCLUSIONS: Our study reveals that the gut microbiome and LPC-centered metabolism form a functional network influencing postoperative risk in CSCPB patients. These findings underscore the role of gut-derived signals in modulating noninfectious inflammatory responses and host imbalance, offering a multiomics framework for decoding systemic complications beyond classical sepsis paradigms.
TRIAL REGISTRATION: ClinicalTrials.gov (NCT04032938). Registered 25 July 2019, https://clinicaltrials.gov/study/NCT04032938#study-record-dates .},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome/physiology
Female
Male
*Cardiopulmonary Bypass/adverse effects
Middle Aged
Aged
*Inflammation/metabolism/etiology
*Postoperative Complications/metabolism/microbiology
*Lysophosphatidylcholines/metabolism
Metabolomics
Metabolome
Multiomics
RevDate: 2026-01-30
CmpDate: 2026-01-30
Assessment of multi-strain probiotics in regulating diet-induced obesity in Balb/c mice model.
International journal of obesity (2005), 50(1):202-212.
BACKGROUND/OBJECTIVES: This study investigated the efficacy of a novel multi-strain probiotic (MSP), composed of Limosilactobacillus fermentum BAB 7912, Bacillus rugosus PIC5CR, and Bacillus rugosus PIB9CR, in preventing and reverting diet-induced obesity in Balb/c male mice.
SUBJECTS/METHODS: This study used 8-week-old Balb/c mice. A total of 40 mice were divided into five groups namely control negative (CN), control with obesity (CO), and three treatment groups: microbial consortium treated (MCT), Healthy control 1 (HC1), and Healthy control 2 (HC2). Obesity was induced using a high-fat diet. MSP formulation developed indigenously as part of previous study, was fed to Balb/c mice at different time intervals to study its preventive and ameliorative potential. Animals were dissected for the collection of blood as well as various organs to study the effect of MSP feeding on obesity status. Results were validated using histopathological and metagenomic data.
RESULTS: The CN and other treatment groups gained significant weight at the end of 6 weeks, while no significant weight gain was observed among HC1 group animals that were fed with HFD and MSP together. This highlights the preventive effect of continuous MSP feeding in the HC1 animal group. Initial liver histopathology in the HC1 group revealed enlarged hepatocytes and fat droplets. By week 9, the MCT group, which received MSP with a basal diet, showed liver recovery towards normal, accompanied by body weight improvement from 28.02 ± 0.7 g to 26.18 ± 0.96 g. Metagenomic analysis revealed that MSP treatment increased the relative abundance of health-promoting bacteria, notably Lactobacillaceae (specifically Lactobacillus).
CONCLUSIONS: Findings indicated that continuous consumption of MSP contributes significantly in prevention of obesity and associated metabolic disorders. Future studies are needed to explore the mechanisms underlying these effects and to evaluate the potential of MSP for human health.
Additional Links: PMID-41087549
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Citation:
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@article {pmid41087549,
year = {2026},
author = {Chauhan, M and Maniya, H and Mori, P and Nagpal, R and Tirgar, P and Kumar, V},
title = {Assessment of multi-strain probiotics in regulating diet-induced obesity in Balb/c mice model.},
journal = {International journal of obesity (2005)},
volume = {50},
number = {1},
pages = {202-212},
pmid = {41087549},
issn = {1476-5497},
mesh = {Animals ; *Probiotics/therapeutic use/pharmacology ; *Obesity/prevention & control ; Mice, Inbred BALB C ; Mice ; Male ; Diet, High-Fat/adverse effects ; Disease Models, Animal ; Gastrointestinal Microbiome ; },
abstract = {BACKGROUND/OBJECTIVES: This study investigated the efficacy of a novel multi-strain probiotic (MSP), composed of Limosilactobacillus fermentum BAB 7912, Bacillus rugosus PIC5CR, and Bacillus rugosus PIB9CR, in preventing and reverting diet-induced obesity in Balb/c male mice.
SUBJECTS/METHODS: This study used 8-week-old Balb/c mice. A total of 40 mice were divided into five groups namely control negative (CN), control with obesity (CO), and three treatment groups: microbial consortium treated (MCT), Healthy control 1 (HC1), and Healthy control 2 (HC2). Obesity was induced using a high-fat diet. MSP formulation developed indigenously as part of previous study, was fed to Balb/c mice at different time intervals to study its preventive and ameliorative potential. Animals were dissected for the collection of blood as well as various organs to study the effect of MSP feeding on obesity status. Results were validated using histopathological and metagenomic data.
RESULTS: The CN and other treatment groups gained significant weight at the end of 6 weeks, while no significant weight gain was observed among HC1 group animals that were fed with HFD and MSP together. This highlights the preventive effect of continuous MSP feeding in the HC1 animal group. Initial liver histopathology in the HC1 group revealed enlarged hepatocytes and fat droplets. By week 9, the MCT group, which received MSP with a basal diet, showed liver recovery towards normal, accompanied by body weight improvement from 28.02 ± 0.7 g to 26.18 ± 0.96 g. Metagenomic analysis revealed that MSP treatment increased the relative abundance of health-promoting bacteria, notably Lactobacillaceae (specifically Lactobacillus).
CONCLUSIONS: Findings indicated that continuous consumption of MSP contributes significantly in prevention of obesity and associated metabolic disorders. Future studies are needed to explore the mechanisms underlying these effects and to evaluate the potential of MSP for human health.},
}
MeSH Terms:
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Animals
*Probiotics/therapeutic use/pharmacology
*Obesity/prevention & control
Mice, Inbred BALB C
Mice
Male
Diet, High-Fat/adverse effects
Disease Models, Animal
Gastrointestinal Microbiome
RevDate: 2026-01-30
CmpDate: 2026-01-30
Metagenomic Sequencing Reveals Distinct Gut Microbiome Profiles in Therapy-Naïve de Novo Pediatric Inflammatory Bowel Disease.
Inflammatory bowel diseases, 32(2):207-219.
BACKGROUND AND AIMS: Microbiome studies reveal distinct microbial differences in inflammatory bowel disease (IBD), indicating its potential role in pathophysiology and as a noninvasive diagnostic biomarker. This study aims to profile the gut microbiome in children with IBD, compared to both healthy controls (HC) and controls with gastrointestinal symptoms (CGI), and to assess the potential of microbiome profiles as noninvasive diagnostic markers for de novo treatment-naïve pediatric IBD, and as early predictive markers for therapy response.
METHODS: We analyzed baseline fecal samples and clinical data from 103 therapy-naïve children with IBD, 75 CGI, and 356 age and sex matched HC. Metagenomic sequencing was performed, and prediction models assessed diagnostic potential and prediction of induction therapy response at 3 months.
RESULTS: Alpha diversity progressively decreased from HC to CGI (P < .001) and decreased even further in IBD patients (P = .0056). Beta diversity analysis showed significant clustering differences (P < .001, R2 = 0.045). Differential abundance analysis revealed 116 species differing between HC and IBD, and 30 species between CGI and IBD. Prediction models based on microbiome features accurately distinguished IBD from HC (area under the curve [AUC] = 0.96) and from CGI (AUC = 0.71). However, these models were outperformed by clinical features, such as fecal calprotectin. Microbiome-based prediction of response to induction therapy in general showed limited accuracy (AUC = 0.63), as well as for response to nutritional induction therapy (AUC = 0.67).
CONCLUSIONS: We observed profound gut microbiome differences between de novo, therapy-naïve pediatric IBD patients and controls. While microbiome profiles hold promise for improving diagnostic precision, their predictive value for therapy response seems limited.
Additional Links: PMID-40971415
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Citation:
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@article {pmid40971415,
year = {2026},
author = {Vermeer, E and Prins, FM and Hidding, IJ and Jagt, JZ and de Jonge, R and Benninga, MA and Gacesa, R and Weersma, RK and de Boer, NKH and de Meij, TGJ},
title = {Metagenomic Sequencing Reveals Distinct Gut Microbiome Profiles in Therapy-Naïve de Novo Pediatric Inflammatory Bowel Disease.},
journal = {Inflammatory bowel diseases},
volume = {32},
number = {2},
pages = {207-219},
doi = {10.1093/ibd/izaf184},
pmid = {40971415},
issn = {1536-4844},
support = {WO 19-25//The Dutch Digestive Foundation (MLDS)/ ; WO 19-25//Right on Time/ ; //The Dutch Digestive Foundation/ ; },
mesh = {Humans ; Female ; Male ; *Gastrointestinal Microbiome/genetics ; Child ; Feces/microbiology ; *Metagenomics/methods ; Case-Control Studies ; Adolescent ; *Inflammatory Bowel Diseases/microbiology/diagnosis ; Biomarkers/analysis ; Child, Preschool ; },
abstract = {BACKGROUND AND AIMS: Microbiome studies reveal distinct microbial differences in inflammatory bowel disease (IBD), indicating its potential role in pathophysiology and as a noninvasive diagnostic biomarker. This study aims to profile the gut microbiome in children with IBD, compared to both healthy controls (HC) and controls with gastrointestinal symptoms (CGI), and to assess the potential of microbiome profiles as noninvasive diagnostic markers for de novo treatment-naïve pediatric IBD, and as early predictive markers for therapy response.
METHODS: We analyzed baseline fecal samples and clinical data from 103 therapy-naïve children with IBD, 75 CGI, and 356 age and sex matched HC. Metagenomic sequencing was performed, and prediction models assessed diagnostic potential and prediction of induction therapy response at 3 months.
RESULTS: Alpha diversity progressively decreased from HC to CGI (P < .001) and decreased even further in IBD patients (P = .0056). Beta diversity analysis showed significant clustering differences (P < .001, R2 = 0.045). Differential abundance analysis revealed 116 species differing between HC and IBD, and 30 species between CGI and IBD. Prediction models based on microbiome features accurately distinguished IBD from HC (area under the curve [AUC] = 0.96) and from CGI (AUC = 0.71). However, these models were outperformed by clinical features, such as fecal calprotectin. Microbiome-based prediction of response to induction therapy in general showed limited accuracy (AUC = 0.63), as well as for response to nutritional induction therapy (AUC = 0.67).
CONCLUSIONS: We observed profound gut microbiome differences between de novo, therapy-naïve pediatric IBD patients and controls. While microbiome profiles hold promise for improving diagnostic precision, their predictive value for therapy response seems limited.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Female
Male
*Gastrointestinal Microbiome/genetics
Child
Feces/microbiology
*Metagenomics/methods
Case-Control Studies
Adolescent
*Inflammatory Bowel Diseases/microbiology/diagnosis
Biomarkers/analysis
Child, Preschool
RevDate: 2026-01-29
CmpDate: 2026-01-29
Machine learning-based predictive modeling of foodborne pathogens and antimicrobial resistance in food microbiomes using omics techniques: A systematic review.
Food research international (Ottawa, Ont.), 221(Pt 1):117255.
The globalization of food systems has heightened the risk of foodborne pathogens such as Salmonella, Listeria monocytogenes, and Campylobacter, exacerbated by rising antimicrobial resistance (AMR). Traditional pathogen identification and AMR risk surveillance methods are often labor-intensive and low-throughput, while single-omics approaches fail to capture microbial complexity. Moreover, reliance on individual machine learning (ML) models limits predictive robustness, posing challenges to food safety and public health. This systematic review evaluates ML-based predictive modeling integrated with omics techniques (genomics, metagenomics, and transcriptomics) for foodborne pathogen and AMR risk surveillance. Following PRISMA guidelines, 1245 articles from PubMed, Scopus, and other databases (2015-2025) were screened, selecting 13 relevant studies. These studies applied ML algorithms, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machines (SVM), to enhance predictive accuracy. The selected studies demonstrated predictive accuracies up to 99 % and AUROC scores above 0.90. Key discoveries include genetic markers for Salmonella virulence, Listeria attribution to fruits and dairy, and 145 mobile antimicrobial resistance genes (ARGs) in poultry. Despite these advancements, limitations such as small sample sizes, inconsistent metadata, overfitting, and computational scalability hinder real-world implementation. This review underscores the potential of ML-driven omics frameworks to revolutionize foodborne pathogen and AMR risk monitoring, paving the way for smarter, more resilient food safety systems. However, methodological inconsistencies necessitate standardized protocols, larger datasets, and explainable AI (XAI) to improve reliability and applicability in global food safety monitoring.
Additional Links: PMID-41606854
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@article {pmid41606854,
year = {2025},
author = {Okoye, CO and Abhadiomhen, SE and Ezenwanne, BC and Chen, X and Jiang, H and Wu, Y and Jiang, J},
title = {Machine learning-based predictive modeling of foodborne pathogens and antimicrobial resistance in food microbiomes using omics techniques: A systematic review.},
journal = {Food research international (Ottawa, Ont.)},
volume = {221},
number = {Pt 1},
pages = {117255},
doi = {10.1016/j.foodres.2025.117255},
pmid = {41606854},
issn = {1873-7145},
mesh = {*Machine Learning ; *Food Microbiology ; *Foodborne Diseases/microbiology ; *Microbiota ; *Drug Resistance, Bacterial/genetics ; Animals ; Genomics/methods ; Metagenomics ; Salmonella/pathogenicity/genetics ; Food Safety ; Humans ; },
abstract = {The globalization of food systems has heightened the risk of foodborne pathogens such as Salmonella, Listeria monocytogenes, and Campylobacter, exacerbated by rising antimicrobial resistance (AMR). Traditional pathogen identification and AMR risk surveillance methods are often labor-intensive and low-throughput, while single-omics approaches fail to capture microbial complexity. Moreover, reliance on individual machine learning (ML) models limits predictive robustness, posing challenges to food safety and public health. This systematic review evaluates ML-based predictive modeling integrated with omics techniques (genomics, metagenomics, and transcriptomics) for foodborne pathogen and AMR risk surveillance. Following PRISMA guidelines, 1245 articles from PubMed, Scopus, and other databases (2015-2025) were screened, selecting 13 relevant studies. These studies applied ML algorithms, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machines (SVM), to enhance predictive accuracy. The selected studies demonstrated predictive accuracies up to 99 % and AUROC scores above 0.90. Key discoveries include genetic markers for Salmonella virulence, Listeria attribution to fruits and dairy, and 145 mobile antimicrobial resistance genes (ARGs) in poultry. Despite these advancements, limitations such as small sample sizes, inconsistent metadata, overfitting, and computational scalability hinder real-world implementation. This review underscores the potential of ML-driven omics frameworks to revolutionize foodborne pathogen and AMR risk monitoring, paving the way for smarter, more resilient food safety systems. However, methodological inconsistencies necessitate standardized protocols, larger datasets, and explainable AI (XAI) to improve reliability and applicability in global food safety monitoring.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Machine Learning
*Food Microbiology
*Foodborne Diseases/microbiology
*Microbiota
*Drug Resistance, Bacterial/genetics
Animals
Genomics/methods
Metagenomics
Salmonella/pathogenicity/genetics
Food Safety
Humans
RevDate: 2026-01-28
CmpDate: 2026-01-28
From niche to niche: investigating microbial communities and their specialised metabolite gene clusters in human microbiomes.
World journal of microbiology & biotechnology, 42(2):65.
Diverse microbial communities within the human microbiome perform vital functions which influence both health and disease in hosts. Specialized metabolites produced by microbes via biosynthetic gene clusters (BGCs) drive ecological interactions and offer possibilities for therapeutic application. The biosynthetic capabilities of microorganisms present in human microbiomes are still mostly unexplored despite metagenomics advancements. The study examines the variety of microbial communities and BGC locations through metagenomic data from 1,191 samples across eight human microbiomes taken from the IMG/M database. Kraken2 executed taxonomic classification while antiSMASH v6.1.1 identified BGCs. The study used BiG-SCAPE to build a sequence similarity network while Bracken and Pavian tools analyzed microbial diversity. A total of 25,681 BGCs were identified, of which 97.5%, showed no significant match to existing clusters in MIBIG database, indicating substantial potential for novel biosynthetic discoveries . Showing no match to existing clusters in the MIBiG database which shows huge potential for new biosynthetic discoveries. New strains were discovered that produce unique RiPPs, NRPs, and siderophores primarily within the microbiomes of the large intestine, oral cavity, and skin. The large intestine showed maximum microbial and biosynthetic diversity compared to other areas while the biliary tract and nasal cavity displayed minimal diversity. New BGCs associated with antibiotic, cytotoxic, and immune-modulating functions present potential therapeutic uses. The investigation uncovers essential information about how microbial communities develop specific functions within various body regions. Uncharacterized BGC discoveries present new opportunities for drug development and treatments that target microbiomes.
Additional Links: PMID-41606218
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Citation:
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@article {pmid41606218,
year = {2026},
author = {Abdelhameed, A and Hussein, RH and Hatem, ZA and Bağcı, C and Ziemert, N},
title = {From niche to niche: investigating microbial communities and their specialised metabolite gene clusters in human microbiomes.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {2},
pages = {65},
pmid = {41606218},
issn = {1573-0972},
mesh = {Humans ; *Multigene Family ; *Microbiota/genetics ; *Bacteria/genetics/metabolism/classification/isolation & purification ; Metagenomics ; Biosynthetic Pathways/genetics ; Metagenome ; },
abstract = {Diverse microbial communities within the human microbiome perform vital functions which influence both health and disease in hosts. Specialized metabolites produced by microbes via biosynthetic gene clusters (BGCs) drive ecological interactions and offer possibilities for therapeutic application. The biosynthetic capabilities of microorganisms present in human microbiomes are still mostly unexplored despite metagenomics advancements. The study examines the variety of microbial communities and BGC locations through metagenomic data from 1,191 samples across eight human microbiomes taken from the IMG/M database. Kraken2 executed taxonomic classification while antiSMASH v6.1.1 identified BGCs. The study used BiG-SCAPE to build a sequence similarity network while Bracken and Pavian tools analyzed microbial diversity. A total of 25,681 BGCs were identified, of which 97.5%, showed no significant match to existing clusters in MIBIG database, indicating substantial potential for novel biosynthetic discoveries . Showing no match to existing clusters in the MIBiG database which shows huge potential for new biosynthetic discoveries. New strains were discovered that produce unique RiPPs, NRPs, and siderophores primarily within the microbiomes of the large intestine, oral cavity, and skin. The large intestine showed maximum microbial and biosynthetic diversity compared to other areas while the biliary tract and nasal cavity displayed minimal diversity. New BGCs associated with antibiotic, cytotoxic, and immune-modulating functions present potential therapeutic uses. The investigation uncovers essential information about how microbial communities develop specific functions within various body regions. Uncharacterized BGC discoveries present new opportunities for drug development and treatments that target microbiomes.},
}
MeSH Terms:
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hide MeSH Terms
Humans
*Multigene Family
*Microbiota/genetics
*Bacteria/genetics/metabolism/classification/isolation & purification
Metagenomics
Biosynthetic Pathways/genetics
Metagenome
RevDate: 2026-01-28
Potential for microbial methanethiol-dependent dimethylsulfide production in different marine sediments.
Cell reports, 45(2):116891 pii:S2211-1247(25)01663-8 [Epub ahead of print].
Dimethyl sulfide (DMS) plays a pivotal role in sulfur cycling and climate regulation. This study investigates microbial DMS production via the methylation of hydrogen sulfide (H2S) and methanethiol (MeSH) in nearshore, pelagic deep-sea, and cold-seep sediments using culture-dependent and -independent methods. DMS production is detected in all sediments with exogenous MeSH addition. High mdd abundance is found in pelagic deep-sea sediments (24.55%-26.73%) from the Kuroshio-Oyashio Extension region, as well as in the nearshore sediments (25.78%). Metagenomic analyses reveal previously unrecognized Mdd-encoding taxa, such as Polyangia, and eight Bacteroidota and Bacillota isolates may possess unknown Mdd enzymes. Importantly, a widespread alternative pathway that converts H2S to MeSH is identified, representing a significant source of MeSH. These findings reveal a prevalent and diverse microbial pathway for DMS production in marine sediments, underscoring the need for further investigation to discover Mdd[+] microbial contributors.
Additional Links: PMID-41604303
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PubMed:
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@article {pmid41604303,
year = {2026},
author = {Guo, Z and Cheng, H and Shi, H and Liu, D and Zhai, X and Li, X and Zhang, X and Liu, L and Zhang, XH and Zhang, Y},
title = {Potential for microbial methanethiol-dependent dimethylsulfide production in different marine sediments.},
journal = {Cell reports},
volume = {45},
number = {2},
pages = {116891},
doi = {10.1016/j.celrep.2025.116891},
pmid = {41604303},
issn = {2211-1247},
abstract = {Dimethyl sulfide (DMS) plays a pivotal role in sulfur cycling and climate regulation. This study investigates microbial DMS production via the methylation of hydrogen sulfide (H2S) and methanethiol (MeSH) in nearshore, pelagic deep-sea, and cold-seep sediments using culture-dependent and -independent methods. DMS production is detected in all sediments with exogenous MeSH addition. High mdd abundance is found in pelagic deep-sea sediments (24.55%-26.73%) from the Kuroshio-Oyashio Extension region, as well as in the nearshore sediments (25.78%). Metagenomic analyses reveal previously unrecognized Mdd-encoding taxa, such as Polyangia, and eight Bacteroidota and Bacillota isolates may possess unknown Mdd enzymes. Importantly, a widespread alternative pathway that converts H2S to MeSH is identified, representing a significant source of MeSH. These findings reveal a prevalent and diverse microbial pathway for DMS production in marine sediments, underscoring the need for further investigation to discover Mdd[+] microbial contributors.},
}
RevDate: 2026-01-29
CmpDate: 2026-01-29
Seasonal dynamics of sedimentary dissolved organic matter in plateau lakes: Driving effects on microbial community and functional genes in elements cycling.
Journal of environmental management, 399:128688.
Plateau lakes, as sensitive zones to global climate change and critical hubs for land-water carbon exchange, remain understudied in terms of the seasonal dynamics of their sedimentary dissolved organic matter (DOM) and its interactions with microbial ecological function. This study employed Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and metagenomic techniques to unravel the seasonal variations of DOM and their regulatory roles in microbial community and elements cycling. During the dry season, low water temperature (WT), dissolved oxygen (DO), and high electrical conductivity (EC) promoted accumulation of lignin-like and carboxyl-rich aliphatic molecules (CRAMs), with Fuxian Lake exhibiting the strongest sequestration. The subsequent wet period raised microbial biomass carbon (MBC) and easily oxidizable organic carbon (EOC), lowered average mass-to-charge ratios and increased both nominal hydrogen-to-carbon ratios (H/C) and the molecular lability index (MLB%). Labile sugars and peptides enhanced microbial α-diversity, whereas refractory compounds selected for specialist taxa and intensified community differentiation. Random forest identified sugars, peptides, O3S + O5S, biological index (BIX), and WT as core drivers of element cycling genes expression. Functional gene modules diverged along trophic status. The oligotrophic deep lake underwent seasonal turnover, whereas the eutrophic shallow lake preserved stable supermodules integrating multiple metabolic pathways to buffer perturbations. Anthropogenic disturbances elevated sulfur/nitrogen-containing heteroatomic compounds and threatened sediment carbon sinks and element cycling balance. This study advances the understanding of DOM-driven biogeochemical cycles and provides a scientific framework for managing multi-element interactions in climatically sensitive plateau lakes.
Additional Links: PMID-41564488
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@article {pmid41564488,
year = {2026},
author = {Huang, Z and Shen, J and Wang, J and Wang, C and Liu, H and Tian, C and Feng, J and Wang, X},
title = {Seasonal dynamics of sedimentary dissolved organic matter in plateau lakes: Driving effects on microbial community and functional genes in elements cycling.},
journal = {Journal of environmental management},
volume = {399},
number = {},
pages = {128688},
doi = {10.1016/j.jenvman.2026.128688},
pmid = {41564488},
issn = {1095-8630},
mesh = {*Lakes/chemistry ; Seasons ; *Geologic Sediments/chemistry ; Microbiota ; Carbon ; },
abstract = {Plateau lakes, as sensitive zones to global climate change and critical hubs for land-water carbon exchange, remain understudied in terms of the seasonal dynamics of their sedimentary dissolved organic matter (DOM) and its interactions with microbial ecological function. This study employed Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and metagenomic techniques to unravel the seasonal variations of DOM and their regulatory roles in microbial community and elements cycling. During the dry season, low water temperature (WT), dissolved oxygen (DO), and high electrical conductivity (EC) promoted accumulation of lignin-like and carboxyl-rich aliphatic molecules (CRAMs), with Fuxian Lake exhibiting the strongest sequestration. The subsequent wet period raised microbial biomass carbon (MBC) and easily oxidizable organic carbon (EOC), lowered average mass-to-charge ratios and increased both nominal hydrogen-to-carbon ratios (H/C) and the molecular lability index (MLB%). Labile sugars and peptides enhanced microbial α-diversity, whereas refractory compounds selected for specialist taxa and intensified community differentiation. Random forest identified sugars, peptides, O3S + O5S, biological index (BIX), and WT as core drivers of element cycling genes expression. Functional gene modules diverged along trophic status. The oligotrophic deep lake underwent seasonal turnover, whereas the eutrophic shallow lake preserved stable supermodules integrating multiple metabolic pathways to buffer perturbations. Anthropogenic disturbances elevated sulfur/nitrogen-containing heteroatomic compounds and threatened sediment carbon sinks and element cycling balance. This study advances the understanding of DOM-driven biogeochemical cycles and provides a scientific framework for managing multi-element interactions in climatically sensitive plateau lakes.},
}
MeSH Terms:
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*Lakes/chemistry
Seasons
*Geologic Sediments/chemistry
Microbiota
Carbon
RevDate: 2026-01-30
CmpDate: 2026-01-29
Estimated predator composition using environmental DNA analyses and color patterns of male guppies in introduced rivers.
Scientific reports, 16(1):4066.
Understanding the mechanisms underlying the successful invasion of the guppy, Poecilia reticulata, a globally invasive species, is important in the field of invasion biology. The body color pattern of male guppies is known to influence predation risk; however, the relationship between body color pattern and local predator guilds has been addressed in only a few studies. To investigate this relationship, we analyzed 32 water samples and 305 male guppies from eight introduced populations on the main island of Okinawa, Japan. The environmental DNA metabarcoding analysis of teleosts from the waters identified six potential guppy predator families, Anguillidae, Eleotridae, Gobiidae, Cichlidae, Mugilidae, and Cyprinidae; however, there was no detection of Characiformes, which are one of the major predators of guppies in their original habitat. Using imaging analysis of color spot areas of male guppies, we found that 16 of 18 potential predator × color combinations exhibited a statistically significant association between body color and the presence of predator families. For example, a negative association between orange spots and Anguillidae, and a positive association between blue-green spots and Cichlidae. These results suggest that the guppy in Okinawa was ecologically released from a major predator in its native habitat and adapted to the new environment through color pattern changes.
Additional Links: PMID-41495321
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@article {pmid41495321,
year = {2026},
author = {Sato, Y and Sato, Y and Deki, O and Tsuji, K and Tsurui-Sato, K},
title = {Estimated predator composition using environmental DNA analyses and color patterns of male guppies in introduced rivers.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {4066},
pmid = {41495321},
issn = {2045-2322},
support = {17K19298//Japan Society for the Promotion of Science/ ; 26249024//Japan Society for the Promotion of Science/ ; 19K12419//Japan Society for the Promotion of Science/ ; },
mesh = {Animals ; *Poecilia/genetics/physiology ; Male ; *Predatory Behavior ; Rivers ; *DNA, Environmental/analysis/genetics ; *Introduced Species ; Japan ; *Pigmentation ; Ecosystem ; DNA Barcoding, Taxonomic ; Color ; },
abstract = {Understanding the mechanisms underlying the successful invasion of the guppy, Poecilia reticulata, a globally invasive species, is important in the field of invasion biology. The body color pattern of male guppies is known to influence predation risk; however, the relationship between body color pattern and local predator guilds has been addressed in only a few studies. To investigate this relationship, we analyzed 32 water samples and 305 male guppies from eight introduced populations on the main island of Okinawa, Japan. The environmental DNA metabarcoding analysis of teleosts from the waters identified six potential guppy predator families, Anguillidae, Eleotridae, Gobiidae, Cichlidae, Mugilidae, and Cyprinidae; however, there was no detection of Characiformes, which are one of the major predators of guppies in their original habitat. Using imaging analysis of color spot areas of male guppies, we found that 16 of 18 potential predator × color combinations exhibited a statistically significant association between body color and the presence of predator families. For example, a negative association between orange spots and Anguillidae, and a positive association between blue-green spots and Cichlidae. These results suggest that the guppy in Okinawa was ecologically released from a major predator in its native habitat and adapted to the new environment through color pattern changes.},
}
MeSH Terms:
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Animals
*Poecilia/genetics/physiology
Male
*Predatory Behavior
Rivers
*DNA, Environmental/analysis/genetics
*Introduced Species
Japan
*Pigmentation
Ecosystem
DNA Barcoding, Taxonomic
Color
RevDate: 2026-01-29
CmpDate: 2026-01-29
Halophilic Anaerobic Cultures Enriched with CO2:H2 from Different Saline Environments Reveal Unknown Autotrophic Bacterial Diversity and Modular Carbon Fixation Pathways.
Microbial ecology, 89(1):40.
The subsurface sediments of saline-aquatic systems host diverse microbes, with unclear ecological roles and challenging lab cultivability. Chemolithotrophic anaerobes involved in CO2-fixation are one of the poorly studied groups. This study focused on understanding these bacteria from subsurface sediments of four representative saline environments, two marine (i.e., Coastal Arabian and Bay of Bengal seas) and two lake (Sambhar and Lonar) systems through enrichment and metagenomics. Enrichment cultures with bicarbonate/CO2 and hydrogen as the carbon and energy sources, respectively, showed CO2 fixation, producing acetic and formic acids as the major organic products. Enriched culture with Sambhar Lake sediment produced more formic acid (391 ± 8 mg/L) than acetic acid (92 ± 20 mg/L); however, other enriched cultures produced considerably higher acetic acid (up to 966 ± 24 mg/L) than formic acid (up to 367 ± 30 mg/L). The organics production was accompanied by unique thread-like (up to 500 μm long) aggregates, harbouring chains of rod and oval-shaped microbes in all cultures. Metagenome sequencing revealed dominance of Vibrio spp. (relative sequence abundance of 91% to 97%) across all cultures, while canonical CO2-fixing taxa were nearly absent (< 0.01%). KEGG analysis revealed partial genes for various CO2 fixation pathways, including Wood-Ljungdahl, reverse-TCA, dicarboxylate-hydroxybutyrate, hydroxypropionate bicycle, hydroxypropionate-hydroxybutyrate, and the reductive-glycine pathway. The presence of a near-complete serine variant of the reductive glycine pathway, which has been demonstrated in engineered systems, suggests that this pathway may play an operational role in natural systems. The consistent production of organic acids and incomplete pathway representation suggests modular CO2 fixation within the Vibrio-dominated enriched mixed cultures.
Additional Links: PMID-41495312
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@article {pmid41495312,
year = {2026},
author = {Kiran, R and Sharma, M and Subramanian, S and Patil, SA},
title = {Halophilic Anaerobic Cultures Enriched with CO2:H2 from Different Saline Environments Reveal Unknown Autotrophic Bacterial Diversity and Modular Carbon Fixation Pathways.},
journal = {Microbial ecology},
volume = {89},
number = {1},
pages = {40},
pmid = {41495312},
issn = {1432-184X},
mesh = {*Carbon Dioxide/metabolism ; *Geologic Sediments/microbiology ; *Carbon Cycle ; *Hydrogen/metabolism ; Formates/metabolism ; Autotrophic Processes ; Seawater/microbiology ; Acetic Acid/metabolism ; Lakes/microbiology ; Biodiversity ; Phylogeny ; *Bacteria, Anaerobic/metabolism/genetics/classification/isolation & purification ; *Bacteria/metabolism/classification/genetics ; Metagenome ; Metagenomics ; },
abstract = {The subsurface sediments of saline-aquatic systems host diverse microbes, with unclear ecological roles and challenging lab cultivability. Chemolithotrophic anaerobes involved in CO2-fixation are one of the poorly studied groups. This study focused on understanding these bacteria from subsurface sediments of four representative saline environments, two marine (i.e., Coastal Arabian and Bay of Bengal seas) and two lake (Sambhar and Lonar) systems through enrichment and metagenomics. Enrichment cultures with bicarbonate/CO2 and hydrogen as the carbon and energy sources, respectively, showed CO2 fixation, producing acetic and formic acids as the major organic products. Enriched culture with Sambhar Lake sediment produced more formic acid (391 ± 8 mg/L) than acetic acid (92 ± 20 mg/L); however, other enriched cultures produced considerably higher acetic acid (up to 966 ± 24 mg/L) than formic acid (up to 367 ± 30 mg/L). The organics production was accompanied by unique thread-like (up to 500 μm long) aggregates, harbouring chains of rod and oval-shaped microbes in all cultures. Metagenome sequencing revealed dominance of Vibrio spp. (relative sequence abundance of 91% to 97%) across all cultures, while canonical CO2-fixing taxa were nearly absent (< 0.01%). KEGG analysis revealed partial genes for various CO2 fixation pathways, including Wood-Ljungdahl, reverse-TCA, dicarboxylate-hydroxybutyrate, hydroxypropionate bicycle, hydroxypropionate-hydroxybutyrate, and the reductive-glycine pathway. The presence of a near-complete serine variant of the reductive glycine pathway, which has been demonstrated in engineered systems, suggests that this pathway may play an operational role in natural systems. The consistent production of organic acids and incomplete pathway representation suggests modular CO2 fixation within the Vibrio-dominated enriched mixed cultures.},
}
MeSH Terms:
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*Carbon Dioxide/metabolism
*Geologic Sediments/microbiology
*Carbon Cycle
*Hydrogen/metabolism
Formates/metabolism
Autotrophic Processes
Seawater/microbiology
Acetic Acid/metabolism
Lakes/microbiology
Biodiversity
Phylogeny
*Bacteria, Anaerobic/metabolism/genetics/classification/isolation & purification
*Bacteria/metabolism/classification/genetics
Metagenome
Metagenomics
RevDate: 2026-01-29
CmpDate: 2026-01-29
AR-CDT NET: a deep deformable convolutional network for gut microbiome-based disease classification.
BMC bioinformatics, 27(1):23.
Advances in metagenomic sequencing have increasingly implicated gut microbiome dysbiosis in numerous complex diseases, yet its application for precise differential diagnosis remains a major challenge. Existing computational approaches often show limited predictive performance and insufficient robustness when applied to large-scale, imbalanced microbiome datasets, and they typically lack mechanisms to effectively capture microbial community-level or functional guild interactions. To address these limitations, we developed AR-CDT Net, a novel deep learning framework that integrates a Multi-Scale Deformable Convolution (MS-DConv) module with a Channel-wise Dynamic Tanh (CD-Tanh) activation function to achieve more accurate and robust classification of host disease states. Evaluated on a large-scale cohort comprising over 8000 samples spanning eight disease phenotypes, AR-CDT Net demonstrated highly competitive within-cohort performance, outperforming nine representative models across the majority of classification tasks. Importantly, in a stringent cross-dataset generalization test, the model was trained on the highly imbalanced primary multi-disease cohort and validated on relatively balanced independent external cohorts. It achieved a statistically significant AUC of 0.7921 on the highly heterogeneous external T2D cohort, confirming that AR-CDT captures transferable biological signals rather than dataset-specific artifacts. Furthermore, by combining dimensionality reduction with SHAP-based interpretation of our One-vs-Rest (OvR) classifiers, AR-CDT disentangles disease-specific pathogenic signatures from the shared dysbiotic background among clinically distinct yet microbially similar diseases.
Additional Links: PMID-41454222
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Citation:
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@article {pmid41454222,
year = {2025},
author = {Li, J and Sun, Z and Chai, S and Li, H and Wang, Y and Tian, J},
title = {AR-CDT NET: a deep deformable convolutional network for gut microbiome-based disease classification.},
journal = {BMC bioinformatics},
volume = {27},
number = {1},
pages = {23},
pmid = {41454222},
issn = {1471-2105},
support = {No.GZY-ZJ-SY-2303//Zhejiang Province Traditional Chinese Medicine Key Laboratory Project/ ; },
mesh = {*Gastrointestinal Microbiome ; Humans ; *Deep Learning ; Metagenomics/methods ; Computational Biology/methods ; },
abstract = {Advances in metagenomic sequencing have increasingly implicated gut microbiome dysbiosis in numerous complex diseases, yet its application for precise differential diagnosis remains a major challenge. Existing computational approaches often show limited predictive performance and insufficient robustness when applied to large-scale, imbalanced microbiome datasets, and they typically lack mechanisms to effectively capture microbial community-level or functional guild interactions. To address these limitations, we developed AR-CDT Net, a novel deep learning framework that integrates a Multi-Scale Deformable Convolution (MS-DConv) module with a Channel-wise Dynamic Tanh (CD-Tanh) activation function to achieve more accurate and robust classification of host disease states. Evaluated on a large-scale cohort comprising over 8000 samples spanning eight disease phenotypes, AR-CDT Net demonstrated highly competitive within-cohort performance, outperforming nine representative models across the majority of classification tasks. Importantly, in a stringent cross-dataset generalization test, the model was trained on the highly imbalanced primary multi-disease cohort and validated on relatively balanced independent external cohorts. It achieved a statistically significant AUC of 0.7921 on the highly heterogeneous external T2D cohort, confirming that AR-CDT captures transferable biological signals rather than dataset-specific artifacts. Furthermore, by combining dimensionality reduction with SHAP-based interpretation of our One-vs-Rest (OvR) classifiers, AR-CDT disentangles disease-specific pathogenic signatures from the shared dysbiotic background among clinically distinct yet microbially similar diseases.},
}
MeSH Terms:
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*Gastrointestinal Microbiome
Humans
*Deep Learning
Metagenomics/methods
Computational Biology/methods
RevDate: 2026-01-29
CmpDate: 2026-01-29
Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose.
Microbiome, 14(1):48.
BACKGROUND: Dental caries, a dysbiotic biofilm disease driven by polymicrobial acidogenesis, often coexists with type 2 diabetes (T2D). Previous studies suggest covarying relationships between circulating and salivary metabolites in patients with T2D. However, the role of hyperglycemia-induced saccharide migration from plasma to saliva in caries pathogenesis remains unclear. Here, we developed a novel method for untargeted metabolomics profiling of trace saliva from sublingual and submandibular glands, comparing this profile with those of plasma and whole saliva in participants with T2D (n = 31) and those with normoglycemia (n = 30). This comparison aimed to determine how circulating saccharide migration into the oral cavity and its subsequent microbial consumption are linked to dental caries. Additionally, shotgun metagenomic sequencing was combined with this analysis to investigate the cariogenic impact of circulating saccharide migration on the composition and function of supragingival biofilm using MetaPhlAn4 and HUMAnN3 pipelines.
RESULTS: The metabolomics profiles of glandular saliva showed intermediate dissimilarity between plasma and whole saliva, reflecting cardiometabolic traits more sensitively than whole saliva. Glucose and fructose showed a decreasing positive correlation with glycemic parameters in the order of plasma, glandular saliva, and whole saliva, suggesting systemic-to-oral migration and subsequent microbial consumption. Saccharide migration was more pronounced in participants with dental caries and plaque accumulation, coinciding with shifts in supragingival microbiota, including depletion of Streptococcus sanguinis, Corynebacterium durum, and Rothia aeria, and enrichment of Streptococcus mutans, Veillonella parvula, and Actinomyces sp. oral taxon 448. Glycolytic potential increased at the community level. Improved glycemic control reduced fructose migration and mitigated dysbiosis, decreasing fructose phosphotransferase abundance and shifting the S. mutans-S. sanguinis balance. Experimental validation demonstrated that fructose promotes S. mutans dominance over S. sanguinis in dual-species biofilms.
CONCLUSIONS: This study establishes saccharide migration as a metabolic driver of supragingival dysbiosis in T2D. The findings highlight the role of both glucose and fructose in caries pathogenesis and suggest that glycemic control could serve as an effective strategy as part of caries control. Video Abstract.
Additional Links: PMID-41345979
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Citation:
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@article {pmid41345979,
year = {2025},
author = {Sakanaka, A and Furuno, M and Ishikawa, A and Katakami, N and Inoue, M and Mayumi, S and Kurita, D and Nishizawa, H and Omori, K and Taya, N and Isomura, ET and Kudoh, M and Takeuchi, H and Amano, A and Shimomura, I and Fukusaki, E and Kuboniwa, M},
title = {Diabetes alters the supragingival microbiome through plasma-to-saliva migration of glucose and fructose.},
journal = {Microbiome},
volume = {14},
number = {1},
pages = {48},
pmid = {41345979},
issn = {2049-2618},
support = {22H03300, 22H00487, 22K10311, 21K18281//Japan Society for the Promotion of Science/ ; JP16gm0710005//Japan Agency for Medical Research and Development/ ; },
mesh = {Humans ; *Saliva/metabolism/chemistry/microbiology ; Female ; Male ; Dental Caries/microbiology ; *Microbiota ; *Diabetes Mellitus, Type 2/microbiology/metabolism/blood/complications ; *Glucose/metabolism ; Middle Aged ; *Fructose/metabolism/blood ; Adult ; Biofilms/growth & development ; Metabolomics/methods ; Aged ; *Gingiva/microbiology ; Metagenomics ; Bacteria/classification/genetics/isolation & purification/metabolism ; },
abstract = {BACKGROUND: Dental caries, a dysbiotic biofilm disease driven by polymicrobial acidogenesis, often coexists with type 2 diabetes (T2D). Previous studies suggest covarying relationships between circulating and salivary metabolites in patients with T2D. However, the role of hyperglycemia-induced saccharide migration from plasma to saliva in caries pathogenesis remains unclear. Here, we developed a novel method for untargeted metabolomics profiling of trace saliva from sublingual and submandibular glands, comparing this profile with those of plasma and whole saliva in participants with T2D (n = 31) and those with normoglycemia (n = 30). This comparison aimed to determine how circulating saccharide migration into the oral cavity and its subsequent microbial consumption are linked to dental caries. Additionally, shotgun metagenomic sequencing was combined with this analysis to investigate the cariogenic impact of circulating saccharide migration on the composition and function of supragingival biofilm using MetaPhlAn4 and HUMAnN3 pipelines.
RESULTS: The metabolomics profiles of glandular saliva showed intermediate dissimilarity between plasma and whole saliva, reflecting cardiometabolic traits more sensitively than whole saliva. Glucose and fructose showed a decreasing positive correlation with glycemic parameters in the order of plasma, glandular saliva, and whole saliva, suggesting systemic-to-oral migration and subsequent microbial consumption. Saccharide migration was more pronounced in participants with dental caries and plaque accumulation, coinciding with shifts in supragingival microbiota, including depletion of Streptococcus sanguinis, Corynebacterium durum, and Rothia aeria, and enrichment of Streptococcus mutans, Veillonella parvula, and Actinomyces sp. oral taxon 448. Glycolytic potential increased at the community level. Improved glycemic control reduced fructose migration and mitigated dysbiosis, decreasing fructose phosphotransferase abundance and shifting the S. mutans-S. sanguinis balance. Experimental validation demonstrated that fructose promotes S. mutans dominance over S. sanguinis in dual-species biofilms.
CONCLUSIONS: This study establishes saccharide migration as a metabolic driver of supragingival dysbiosis in T2D. The findings highlight the role of both glucose and fructose in caries pathogenesis and suggest that glycemic control could serve as an effective strategy as part of caries control. Video Abstract.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Saliva/metabolism/chemistry/microbiology
Female
Male
Dental Caries/microbiology
*Microbiota
*Diabetes Mellitus, Type 2/microbiology/metabolism/blood/complications
*Glucose/metabolism
Middle Aged
*Fructose/metabolism/blood
Adult
Biofilms/growth & development
Metabolomics/methods
Aged
*Gingiva/microbiology
Metagenomics
Bacteria/classification/genetics/isolation & purification/metabolism
RevDate: 2026-01-28
CmpDate: 2026-01-27
Deficiency of cannabinoid receptors enhances host susceptibility to bacterial infection.
mBio, 16(10):e0208825.
Host resilience to bacterial infection depends on tightly regulated immune responses, which can be shaped by metabolic cues, including the contribution from bioactive lipids. The endocannabinoid system (ECS), a lipid signaling network known for its neuromodulatory roles, also influences immunity; however, the receptor-specific contributions of cannabinoid receptor 1 (CB1R) and cannabinoid receptor 2 (CB2R) in host-pathogen interactions remain incompletely defined in this context. Using receptor-deficient mouse models, we investigated how CB1R and CB2R modify immune responses to Salmonella Typhimurium. CB1R-deficient (CB1R-KO) mice exhibited heightened systemic inflammation, impaired bacterial clearance, and reduced survival in systemic infection, associated with dysregulated macrophage polarization and diminished neutrophil recruitment. In contrast, CB2R-KO mice showed increased susceptibility in both systemic and mucosal infection models, marked by a pro-inflammatory macrophage profile, enhanced neutrophilia, and microbiota dysbiosis. Shotgun metagenomic analysis revealed a reduced abundance of specific protective commensals and altered microbial metabolic pathway profiles in CB2R-KO mice, suggesting a role for CB2R in maintaining mucosal immune-microbiota homeostasis. Collectively, these findings highlight non-redundant roles for CB1R and CB2R in regulating immune dynamics and salmonellosis disease severity, and they point to the ECS as a potential target for host-directed immunomodulatory therapies.IMPORTANCEEffective immunity against bacterial pathogens requires a delicate balance between microbial clearance and the containment of inflammatory damage encountered during many infections. The molecular pathways that regulate this equilibrium remain incompletely defined, and the involvement of bioactive lipid signaling mechanisms also needs to be better described. Here, we show that the endocannabinoid receptors CB1R and CB2R play non-redundant roles in host defense against Salmonella infection. CB1R deficiency results in exacerbated systemic inflammation, defective bacterial clearance, and dysregulated macrophage polarization. In contrast, CB2R deficiency leads post-infection to gut dysbiosis and has been found to negatively affect the outcome for the host in both systemic and mucosal infection with Salmonella. By describing cannabinoid receptor-specific contributions to immune regulation and microbiota dynamics, our findings reveal a previously underappreciated axis of host-pathogen interaction. This study broadens our understanding of lipid-mediated immune modulation and identifies CB1R and CB2R as potential targets for therapies aimed at restoring immune homeostasis and improving infectious disease outcomes.
Additional Links: PMID-40965138
PubMed:
Citation:
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@article {pmid40965138,
year = {2025},
author = {Barker, HA and Bhimani, S and Tirado, D and Canas, JJ and Lemos, LN and Roesch, LFW and Ferraro, MJ},
title = {Deficiency of cannabinoid receptors enhances host susceptibility to bacterial infection.},
journal = {mBio},
volume = {16},
number = {10},
pages = {e0208825},
pmid = {40965138},
issn = {2150-7511},
support = {//Consortium for Medical Marijuana Clinical Outcomes Research/ ; R01 AI158749/AI/NIAID NIH HHS/United States ; 5T32AI007110-38//National Institute of Allergy and Infectious Diseases/ ; T32 AI007110/AI/NIAID NIH HHS/United States ; AI158749-04//National Institute of Allergy and Infectious Diseases/ ; },
mesh = {Animals ; Mice ; *Disease Susceptibility/microbiology ; Salmonella typhimurium ; *Salmonella Infections/genetics ; Mice, Knockout ; Host-Pathogen Interactions ; *Receptor, Cannabinoid, CB2/genetics ; *Receptor, Cannabinoid, CB1/genetics ; Disease Models, Animal ; Inflammation ; Immunity, Mucosal ; Homeostasis ; Gastrointestinal Microbiome ; Macrophages/microbiology ; Mice, Inbred C57BL ; Male ; Female ; Dysbiosis ; },
abstract = {Host resilience to bacterial infection depends on tightly regulated immune responses, which can be shaped by metabolic cues, including the contribution from bioactive lipids. The endocannabinoid system (ECS), a lipid signaling network known for its neuromodulatory roles, also influences immunity; however, the receptor-specific contributions of cannabinoid receptor 1 (CB1R) and cannabinoid receptor 2 (CB2R) in host-pathogen interactions remain incompletely defined in this context. Using receptor-deficient mouse models, we investigated how CB1R and CB2R modify immune responses to Salmonella Typhimurium. CB1R-deficient (CB1R-KO) mice exhibited heightened systemic inflammation, impaired bacterial clearance, and reduced survival in systemic infection, associated with dysregulated macrophage polarization and diminished neutrophil recruitment. In contrast, CB2R-KO mice showed increased susceptibility in both systemic and mucosal infection models, marked by a pro-inflammatory macrophage profile, enhanced neutrophilia, and microbiota dysbiosis. Shotgun metagenomic analysis revealed a reduced abundance of specific protective commensals and altered microbial metabolic pathway profiles in CB2R-KO mice, suggesting a role for CB2R in maintaining mucosal immune-microbiota homeostasis. Collectively, these findings highlight non-redundant roles for CB1R and CB2R in regulating immune dynamics and salmonellosis disease severity, and they point to the ECS as a potential target for host-directed immunomodulatory therapies.IMPORTANCEEffective immunity against bacterial pathogens requires a delicate balance between microbial clearance and the containment of inflammatory damage encountered during many infections. The molecular pathways that regulate this equilibrium remain incompletely defined, and the involvement of bioactive lipid signaling mechanisms also needs to be better described. Here, we show that the endocannabinoid receptors CB1R and CB2R play non-redundant roles in host defense against Salmonella infection. CB1R deficiency results in exacerbated systemic inflammation, defective bacterial clearance, and dysregulated macrophage polarization. In contrast, CB2R deficiency leads post-infection to gut dysbiosis and has been found to negatively affect the outcome for the host in both systemic and mucosal infection with Salmonella. By describing cannabinoid receptor-specific contributions to immune regulation and microbiota dynamics, our findings reveal a previously underappreciated axis of host-pathogen interaction. This study broadens our understanding of lipid-mediated immune modulation and identifies CB1R and CB2R as potential targets for therapies aimed at restoring immune homeostasis and improving infectious disease outcomes.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
Mice
*Disease Susceptibility/microbiology
Salmonella typhimurium
*Salmonella Infections/genetics
Mice, Knockout
Host-Pathogen Interactions
*Receptor, Cannabinoid, CB2/genetics
*Receptor, Cannabinoid, CB1/genetics
Disease Models, Animal
Inflammation
Immunity, Mucosal
Homeostasis
Gastrointestinal Microbiome
Macrophages/microbiology
Mice, Inbred C57BL
Male
Female
Dysbiosis
RevDate: 2026-01-28
CmpDate: 2026-01-28
Correction: Chemoautotrophic Thermodesulfobacteriota as a key genomic potential group in the hypoxic diazotrophic community of the Changjiang (Yangtze River) estuary.
Frontiers in microbiology, 16:1766907.
[This corrects the article DOI: 10.3389/fmicb.2025.1671267.].
Additional Links: PMID-41602774
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Publisher:
PubMed:
Citation:
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@article {pmid41602774,
year = {2025},
author = {Zhang, M and Zhu, Y and Sun, Z and Wang, B and Chen, J and Zhou, F and Zeng, J and Li, M and Zou, D and Jiang, Z},
title = {Correction: Chemoautotrophic Thermodesulfobacteriota as a key genomic potential group in the hypoxic diazotrophic community of the Changjiang (Yangtze River) estuary.},
journal = {Frontiers in microbiology},
volume = {16},
number = {},
pages = {1766907},
doi = {10.3389/fmicb.2025.1766907},
pmid = {41602774},
issn = {1664-302X},
abstract = {[This corrects the article DOI: 10.3389/fmicb.2025.1671267.].},
}
RevDate: 2026-01-28
CmpDate: 2026-01-28
Clinical validation and utility of targeted nanopore sequencing for rapid pathogen diagnosis and precision therapy in lung cancer patients with pulmonary infections.
Frontiers in cellular and infection microbiology, 15:1730098.
BACKGROUND: Pulmonary infections are common in patients with lung cancer (LC), complicating diagnosis and treatment. This study explored the diagnostic performance and clinical utility of targeted nanopore sequencing (TNPseq) for detecting pathogens in LC-related pulmonary infections.
METHODS: A total of 143 patients with LC or benign pulmonary diseases complicated by pulmonary infections were included and stratified into diagnostic and therapeutic cohorts. Sputum samples underwent conventional culture, metagenomic next-generation sequencing (mNGS), and TNPseq analyses. Microbiota profiles were compared across disease groups and correlated with tumor therapy responses. In the therapeutic cohort, clinical outcomes were assessed between empirical therapy and TNPseq-guided therapy.
RESULTS: TNPseq identified a significantly higher proportion of clinically relevant pathogens compared to mNGS (48.76% vs. 16.80%, p < 0.001) and demonstrated superior sensitivity (81.25% vs. 68.75%), with a 40.7% reduction in turnaround time (16 hours vs. 27 hours). Both sequencing methods revealed an enrichment of Lactobacillus species in non-initial diagnosis lung cancer (NDLC) patients (p < 0.01). Patients exhibiting partial response or stable disease (PR/SD) showed increased abundance of Neisseria, Veillonella, and Prevotella species (p < 0.05). Clinical remission was achieved in all patients; however, 68.4% of those initially receiving empirical therapy subsequently required a switch to TNPseq-guided treatment due to its ineffectiveness. Compared to this empirical-to-TNPseq group, the median treatment duration was significantly shorter under direct TNPseq guidance (total: 6 days vs. 13 days, p < 0.01; LC subgroup: 5 days vs. 15.5 days, p < 0.05), thereby reducing unnecessary antibiotic exposure.
CONCLUSIONS: By enabling rapid pathogen detection and profiling of the pulmonary microbiome, TNPseq facilitates targeted therapy and reduces antibiotic overuse in LC patients. These findings highlight the potential of TNPseq as a promising, rapid, and non-invasive diagnostic candidate for first-line use, offering a comprehensive view of both infection and host-microbe interactions in immunocompromised patients.
Additional Links: PMID-41602101
PubMed:
Citation:
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@article {pmid41602101,
year = {2025},
author = {Deng, Q and Liu, Y and Zhang, J and Zhang, H and Zhang, Y and Wang, M and Jia, M and Ding, D and Fang, Y and Wang, Y and Gu, H and Wang, H},
title = {Clinical validation and utility of targeted nanopore sequencing for rapid pathogen diagnosis and precision therapy in lung cancer patients with pulmonary infections.},
journal = {Frontiers in cellular and infection microbiology},
volume = {15},
number = {},
pages = {1730098},
pmid = {41602101},
issn = {2235-2988},
mesh = {Humans ; *Lung Neoplasms/complications/microbiology ; *Nanopore Sequencing/methods ; Male ; Female ; Middle Aged ; Aged ; Sputum/microbiology ; *Precision Medicine/methods ; High-Throughput Nucleotide Sequencing ; *Respiratory Tract Infections/diagnosis/microbiology/drug therapy ; Metagenomics/methods ; Microbiota ; Bacteria/genetics/isolation & purification/classification ; Sensitivity and Specificity ; Adult ; Aged, 80 and over ; },
abstract = {BACKGROUND: Pulmonary infections are common in patients with lung cancer (LC), complicating diagnosis and treatment. This study explored the diagnostic performance and clinical utility of targeted nanopore sequencing (TNPseq) for detecting pathogens in LC-related pulmonary infections.
METHODS: A total of 143 patients with LC or benign pulmonary diseases complicated by pulmonary infections were included and stratified into diagnostic and therapeutic cohorts. Sputum samples underwent conventional culture, metagenomic next-generation sequencing (mNGS), and TNPseq analyses. Microbiota profiles were compared across disease groups and correlated with tumor therapy responses. In the therapeutic cohort, clinical outcomes were assessed between empirical therapy and TNPseq-guided therapy.
RESULTS: TNPseq identified a significantly higher proportion of clinically relevant pathogens compared to mNGS (48.76% vs. 16.80%, p < 0.001) and demonstrated superior sensitivity (81.25% vs. 68.75%), with a 40.7% reduction in turnaround time (16 hours vs. 27 hours). Both sequencing methods revealed an enrichment of Lactobacillus species in non-initial diagnosis lung cancer (NDLC) patients (p < 0.01). Patients exhibiting partial response or stable disease (PR/SD) showed increased abundance of Neisseria, Veillonella, and Prevotella species (p < 0.05). Clinical remission was achieved in all patients; however, 68.4% of those initially receiving empirical therapy subsequently required a switch to TNPseq-guided treatment due to its ineffectiveness. Compared to this empirical-to-TNPseq group, the median treatment duration was significantly shorter under direct TNPseq guidance (total: 6 days vs. 13 days, p < 0.01; LC subgroup: 5 days vs. 15.5 days, p < 0.05), thereby reducing unnecessary antibiotic exposure.
CONCLUSIONS: By enabling rapid pathogen detection and profiling of the pulmonary microbiome, TNPseq facilitates targeted therapy and reduces antibiotic overuse in LC patients. These findings highlight the potential of TNPseq as a promising, rapid, and non-invasive diagnostic candidate for first-line use, offering a comprehensive view of both infection and host-microbe interactions in immunocompromised patients.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Lung Neoplasms/complications/microbiology
*Nanopore Sequencing/methods
Male
Female
Middle Aged
Aged
Sputum/microbiology
*Precision Medicine/methods
High-Throughput Nucleotide Sequencing
*Respiratory Tract Infections/diagnosis/microbiology/drug therapy
Metagenomics/methods
Microbiota
Bacteria/genetics/isolation & purification/classification
Sensitivity and Specificity
Adult
Aged, 80 and over
RevDate: 2026-01-28
CmpDate: 2026-01-28
[Applications and challenges of forensic microbiomics].
Fa yi xue za zhi, 41(5):441-442.
Additional Links: PMID-41601218
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PubMed:
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@article {pmid41601218,
year = {2025},
author = {Li, CT},
title = {[Applications and challenges of forensic microbiomics].},
journal = {Fa yi xue za zhi},
volume = {41},
number = {5},
pages = {441-442},
doi = {10.12116/j.issn.1004-5619.2025.551105},
pmid = {41601218},
issn = {1004-5619},
mesh = {Humans ; *Metagenomics/methods ; *Microbiota/genetics ; *Forensic Medicine/methods ; *Gastrointestinal Microbiome ; China ; Genomics ; Human Genome Project ; *Forensic Sciences ; Metagenome ; },
}
MeSH Terms:
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Humans
*Metagenomics/methods
*Microbiota/genetics
*Forensic Medicine/methods
*Gastrointestinal Microbiome
China
Genomics
Human Genome Project
*Forensic Sciences
Metagenome
RevDate: 2026-01-28
CmpDate: 2026-01-28
Bioinformatic Insights into the Carotenoids' Role in Gut Microbiota Dynamics.
Nutrients, 18(2): pii:nu18020330.
Background/Objectives: Carotenoids are bioactive pigments with well-established antioxidant and immunomodulatory properties, yet their impact on gut microbiota remains poorly understood from a chemical standpoint. This study explores how carotenoid structure and gastrointestinal stability shape microbial responses combining in vitro fermentation with bioinformatic analyses. Methods: Individual carotenoids (beta (β)-carotene, lutein, lycopene) and combined carotenoids, as well as algal-derived extracts were subjected to 48 h in vitro fermentation, and microbial composition and activity were assessed through sequencing and computational analysis. Results: β-carotene and lycopene promoted acid-tolerant taxa such as Escherichia-Shigella, whereas lutein, due to its higher polarity, supported more transient fluctuations. Mixtures and algal carotenoids exhibited synergistic effects, sustaining beneficial genera including Bifidobacterium and Bacteroides and promoting structured ecological trajectories. Conclusions: These findings provide a chemistry-driven perspective on how carotenoids act as modulators of microbial ecosystems, with direct implications for the formulation of carotenoid-enriched functional foods and dietary interventions.
Additional Links: PMID-41599943
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PubMed:
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@article {pmid41599943,
year = {2026},
author = {Rocha, HR and Ribeiro, P and Rodrigues, PM and Gomes, AM and Pintado, M and Coelho, MC},
title = {Bioinformatic Insights into the Carotenoids' Role in Gut Microbiota Dynamics.},
journal = {Nutrients},
volume = {18},
number = {2},
pages = {},
doi = {10.3390/nu18020330},
pmid = {41599943},
issn = {2072-6643},
mesh = {*Gastrointestinal Microbiome/drug effects ; *Carotenoids/pharmacology/chemistry ; *Computational Biology ; Humans ; Fermentation ; Lycopene/pharmacology ; Lutein/pharmacology ; Bacteria/drug effects/genetics/classification ; beta Carotene/pharmacology ; },
abstract = {Background/Objectives: Carotenoids are bioactive pigments with well-established antioxidant and immunomodulatory properties, yet their impact on gut microbiota remains poorly understood from a chemical standpoint. This study explores how carotenoid structure and gastrointestinal stability shape microbial responses combining in vitro fermentation with bioinformatic analyses. Methods: Individual carotenoids (beta (β)-carotene, lutein, lycopene) and combined carotenoids, as well as algal-derived extracts were subjected to 48 h in vitro fermentation, and microbial composition and activity were assessed through sequencing and computational analysis. Results: β-carotene and lycopene promoted acid-tolerant taxa such as Escherichia-Shigella, whereas lutein, due to its higher polarity, supported more transient fluctuations. Mixtures and algal carotenoids exhibited synergistic effects, sustaining beneficial genera including Bifidobacterium and Bacteroides and promoting structured ecological trajectories. Conclusions: These findings provide a chemistry-driven perspective on how carotenoids act as modulators of microbial ecosystems, with direct implications for the formulation of carotenoid-enriched functional foods and dietary interventions.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Gastrointestinal Microbiome/drug effects
*Carotenoids/pharmacology/chemistry
*Computational Biology
Humans
Fermentation
Lycopene/pharmacology
Lutein/pharmacology
Bacteria/drug effects/genetics/classification
beta Carotene/pharmacology
RevDate: 2026-01-28
CmpDate: 2026-01-28
Host-Filtered Blood Nucleic Acids for Pathogen Detection: Shared Background, Sparse Signal, and Methodological Limits.
Pathogens (Basel, Switzerland), 15(1): pii:pathogens15010055.
Plasma cell-free RNA (cfRNA) metagenomics is increasingly explored for blood-based pathogen detection, but the structure of the shared background "blood microbiome", the reproducibility of reported signals, and the practical limits of this approach remain unclear. We performed a critical re-analysis and benchmarking ("stress test") of host-filtered blood RNA sequencing data from two cohorts: a bacteriologically confirmed tuberculosis (TB) cohort (n = 51) previously used only to derive host cfRNA signatures, and a coronary artery disease (CAD) cohort (n = 16) previously reported to show a CAD-shifted "blood microbiome" enriched for periodontal taxa. Both datasets were processed with a unified pipeline combining stringent human read removal and taxonomic profiling using the latest versions of specialized tools Kraken2 and MetaPhlAn4. Across both cohorts, only a minority of non-host reads were classifiable; under strict host filtering, classified non-host reads comprised 7.3% (5.0-12.0%) in CAD and 21.8% (5.4-31.5%) in TB, still representing only a small fraction of total cfRNA. Classified non-host communities were dominated by recurrent, low-abundance taxa from skin, oral, and environmental lineages, forming a largely shared, low-complexity background in both TB and CAD. Background-derived bacterial signatures showed only modest separation between disease and control groups, with wide intra-group variability. Mycobacterium tuberculosis-assigned reads were detectable in many TB-positive samples but accounted for ≤0.001% of total cfRNA and occurred at similar orders of magnitude in a subset of TB-negative samples, precluding robust discrimination. Phylogeny-aware visualization confirmed that visually "enriched" taxa in TB-positive plasma arose mainly from background-associated clades rather than a distinct pathogen-specific cluster. Collectively, these findings provide a quantitative benchmark of the background-dominated regime and practical limits of plasma cfRNA metagenomics for pathogen detection, highlighting that practical performance is constrained more by a shared, low-complexity background and sparse pathogen-derived fragments than by large disease-specific shifts, underscoring the need for transparent host filtering, explicit background modeling, and integration with targeted or orthogonal assays.
Additional Links: PMID-41599039
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PubMed:
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@article {pmid41599039,
year = {2026},
author = {Wang, Z and Chen, G and Yang, M and Wang, S and Fang, J and Shi, C and Gu, Y and Ning, Z},
title = {Host-Filtered Blood Nucleic Acids for Pathogen Detection: Shared Background, Sparse Signal, and Methodological Limits.},
journal = {Pathogens (Basel, Switzerland)},
volume = {15},
number = {1},
pages = {},
doi = {10.3390/pathogens15010055},
pmid = {41599039},
issn = {2076-0817},
support = {2024-PWXZ-04//New Quality Clinical Specialty Program of High-end Medical Disciplinary Construction in Shanghai Pudong New Area/ ; 2024ZDXK0019//Shanghai Municipal Health Commission, Key Discipline of Shanghai Health System, Cardiology/ ; PW2025D-01//The Scientific Research Program of Shanghai Pudong New Area Health Commission (the Joint Research and Development Program)/ ; },
mesh = {Humans ; *Metagenomics/methods ; *Tuberculosis/microbiology/diagnosis/blood ; Microbiota/genetics ; *Cell-Free Nucleic Acids/blood/genetics ; *Coronary Artery Disease/microbiology/diagnosis/blood ; Mycobacterium tuberculosis/genetics/isolation & purification ; Male ; Female ; Cohort Studies ; },
abstract = {Plasma cell-free RNA (cfRNA) metagenomics is increasingly explored for blood-based pathogen detection, but the structure of the shared background "blood microbiome", the reproducibility of reported signals, and the practical limits of this approach remain unclear. We performed a critical re-analysis and benchmarking ("stress test") of host-filtered blood RNA sequencing data from two cohorts: a bacteriologically confirmed tuberculosis (TB) cohort (n = 51) previously used only to derive host cfRNA signatures, and a coronary artery disease (CAD) cohort (n = 16) previously reported to show a CAD-shifted "blood microbiome" enriched for periodontal taxa. Both datasets were processed with a unified pipeline combining stringent human read removal and taxonomic profiling using the latest versions of specialized tools Kraken2 and MetaPhlAn4. Across both cohorts, only a minority of non-host reads were classifiable; under strict host filtering, classified non-host reads comprised 7.3% (5.0-12.0%) in CAD and 21.8% (5.4-31.5%) in TB, still representing only a small fraction of total cfRNA. Classified non-host communities were dominated by recurrent, low-abundance taxa from skin, oral, and environmental lineages, forming a largely shared, low-complexity background in both TB and CAD. Background-derived bacterial signatures showed only modest separation between disease and control groups, with wide intra-group variability. Mycobacterium tuberculosis-assigned reads were detectable in many TB-positive samples but accounted for ≤0.001% of total cfRNA and occurred at similar orders of magnitude in a subset of TB-negative samples, precluding robust discrimination. Phylogeny-aware visualization confirmed that visually "enriched" taxa in TB-positive plasma arose mainly from background-associated clades rather than a distinct pathogen-specific cluster. Collectively, these findings provide a quantitative benchmark of the background-dominated regime and practical limits of plasma cfRNA metagenomics for pathogen detection, highlighting that practical performance is constrained more by a shared, low-complexity background and sparse pathogen-derived fragments than by large disease-specific shifts, underscoring the need for transparent host filtering, explicit background modeling, and integration with targeted or orthogonal assays.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Metagenomics/methods
*Tuberculosis/microbiology/diagnosis/blood
Microbiota/genetics
*Cell-Free Nucleic Acids/blood/genetics
*Coronary Artery Disease/microbiology/diagnosis/blood
Mycobacterium tuberculosis/genetics/isolation & purification
Male
Female
Cohort Studies
RevDate: 2026-01-28
CmpDate: 2026-01-28
Metagenome Insights into Armenian Acid Mine Drainage: A Novel Thermoacidophilic Iron-Oxidizing Bacterium with Perspectives for Copper Bioleaching.
Microorganisms, 14(1): pii:microorganisms14010146.
The microbial ecology of acid mine drainage (AMD) systems in Armenia, with a long mining history, remains unexplored. This study aimed to characterize the microbial diversity and functional potential of AMD in the Syunik region and to isolate novel microorganisms with biotechnological value. A comprehensive analysis of the microbial communities' structure of Kavart abandoned, Kapan exploring mines effluent, and Artsvanik tailing was conducted. Metagenomics revealed bacterial-dominated communities, comprising Pseudomonadota (previously "Proteobacteria") (68-72%), with site-specific variations in genus abundance. A high abundance and diversity of metal resistance genes (MRGs), particularly for copper and arsenic, were identified. Carbohydrate-active enzyme (CAZy) analysis showed a dominance of GT2 and GT4 genes, suggesting a high potential for extracellular polymeric substances (EPS) production and biofilm formation. A novel strain of iron-oxidizing bacteria Arm-12 was isolated that shares only ~90% similarity with known Leptospirillum type species, indicating it may represent a new genus without culturable representatives. The strain exhibits enhanced copper extraction from concentrate. This study provides the first metagenomic insights into Armenian AMD systems and tailing, revealing a unique community rich in metal resistance and biofilm-forming genes. The isolation of a novel highly effective iron-oxidizer Arm-12 highlights the potential of AMD environments as a source of novel taxa with significant applications in biomining and bioremediation processes.
Additional Links: PMID-41597665
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PubMed:
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@article {pmid41597665,
year = {2026},
author = {Khachatryan, A and Vardanyan, A and Zhang, R and Zhang, Y and Shi, X and Willscher, S and Nguyen, NHA and Vardanyan, N},
title = {Metagenome Insights into Armenian Acid Mine Drainage: A Novel Thermoacidophilic Iron-Oxidizing Bacterium with Perspectives for Copper Bioleaching.},
journal = {Microorganisms},
volume = {14},
number = {1},
pages = {},
doi = {10.3390/microorganisms14010146},
pmid = {41597665},
issn = {2076-2607},
support = {22rl-031//Higher Education Science Committee of Armenia/ ; 23-YSIP-012//Higher Education Science Committee of Armenia/ ; },
abstract = {The microbial ecology of acid mine drainage (AMD) systems in Armenia, with a long mining history, remains unexplored. This study aimed to characterize the microbial diversity and functional potential of AMD in the Syunik region and to isolate novel microorganisms with biotechnological value. A comprehensive analysis of the microbial communities' structure of Kavart abandoned, Kapan exploring mines effluent, and Artsvanik tailing was conducted. Metagenomics revealed bacterial-dominated communities, comprising Pseudomonadota (previously "Proteobacteria") (68-72%), with site-specific variations in genus abundance. A high abundance and diversity of metal resistance genes (MRGs), particularly for copper and arsenic, were identified. Carbohydrate-active enzyme (CAZy) analysis showed a dominance of GT2 and GT4 genes, suggesting a high potential for extracellular polymeric substances (EPS) production and biofilm formation. A novel strain of iron-oxidizing bacteria Arm-12 was isolated that shares only ~90% similarity with known Leptospirillum type species, indicating it may represent a new genus without culturable representatives. The strain exhibits enhanced copper extraction from concentrate. This study provides the first metagenomic insights into Armenian AMD systems and tailing, revealing a unique community rich in metal resistance and biofilm-forming genes. The isolation of a novel highly effective iron-oxidizer Arm-12 highlights the potential of AMD environments as a source of novel taxa with significant applications in biomining and bioremediation processes.},
}
RevDate: 2026-01-28
CmpDate: 2026-01-28
Overwinter Syndrome in Grass Carp (Ctenopharyngodon idellus) Links Enteric Viral Proliferation to Mucosal Disruption via Multiomics Investigation.
Cells, 15(2): pii:cells15020157.
Overwinter Syndrome (OWS) affects grass carp (Ctenopharyngodon idellus) aquaculture in China, causing high mortality and economic losses under low temperatures. Failure of antibiotic therapies shows limits of the 'low-temperature-pathogen' model and shifts focus to mucosal barrier dysfunction and host-microbiome interactions in OWS. We compared healthy and diseased grass carp collected from the same pond using histopathology, transcriptomics, proteomics, and metagenomics. This integrated approach was used to characterize intestinal structure, microbial composition, and host molecular responses at both taxonomic and functional levels. Results revealed a three-layer barrier failure in OWS fish: the physical barrier was compromised, with structural damage and reduced mucosal index; microbial dysbiosis featured increased richness without changes in diversity or evenness, and expansion of the virobiota, notably uncultured Caudovirales phage; and mucosal immune dysregulation indicated loss of local immune balance. Multi-omics integration identified downregulation of lysosome-related and glycosphingolipid biosynthesis pathways at transcript and protein levels, with disrupted nucleotide metabolism. Overall gut microbial richness, rather than individual taxa abundance, correlated most strongly with host gene changes linked to immunity, metabolism, and epithelial integrity. Although biological replicates were limited by natural outbreak sampling, matched high-depth multi-omics datasets provide exploratory insights into OWS-associated intestinal dysfunction. In summary, OWS entails a cold-triggered breakdown of intestinal barrier integrity and immune homeostasis. This breakdown is driven by a global restructuring of the gut microbiome, which is marked by increased richness, viral expansion, and functional shifts, ultimately resulting in altered host-microbe crosstalk. This ecological perspective informs future mechanistic and applied studies for disease prevention.
Additional Links: PMID-41597231
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PubMed:
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@article {pmid41597231,
year = {2026},
author = {Feng, Y and Geng, Y and Liu, S and Huang, X and Mou, C and Zhao, H and Zhou, J and Li, Q and Deng, Y},
title = {Overwinter Syndrome in Grass Carp (Ctenopharyngodon idellus) Links Enteric Viral Proliferation to Mucosal Disruption via Multiomics Investigation.},
journal = {Cells},
volume = {15},
number = {2},
pages = {},
doi = {10.3390/cells15020157},
pmid = {41597231},
issn = {2073-4409},
support = {2024YFD2401102//National Key R&D ProgramNational Key R&D Program/ ; 2025ZNSFSC1081//Sichuan Provincial Natural Science Foundation/ ; NKYRCZX2025031//Research Initiation Funding from the Sichuan Academy of Agricultural Sciences/ ; SCCXTD-2025-15//Sichuan Freshwater Fish Innovation Team of the National Modern Agricultural Industrial Technology System/ ; },
mesh = {Animals ; *Carps/virology/microbiology ; *Fish Diseases/virology/microbiology/genetics ; *Intestinal Mucosa/virology/pathology/microbiology ; Gastrointestinal Microbiome ; Metagenomics ; Transcriptome ; Multiomics ; },
abstract = {Overwinter Syndrome (OWS) affects grass carp (Ctenopharyngodon idellus) aquaculture in China, causing high mortality and economic losses under low temperatures. Failure of antibiotic therapies shows limits of the 'low-temperature-pathogen' model and shifts focus to mucosal barrier dysfunction and host-microbiome interactions in OWS. We compared healthy and diseased grass carp collected from the same pond using histopathology, transcriptomics, proteomics, and metagenomics. This integrated approach was used to characterize intestinal structure, microbial composition, and host molecular responses at both taxonomic and functional levels. Results revealed a three-layer barrier failure in OWS fish: the physical barrier was compromised, with structural damage and reduced mucosal index; microbial dysbiosis featured increased richness without changes in diversity or evenness, and expansion of the virobiota, notably uncultured Caudovirales phage; and mucosal immune dysregulation indicated loss of local immune balance. Multi-omics integration identified downregulation of lysosome-related and glycosphingolipid biosynthesis pathways at transcript and protein levels, with disrupted nucleotide metabolism. Overall gut microbial richness, rather than individual taxa abundance, correlated most strongly with host gene changes linked to immunity, metabolism, and epithelial integrity. Although biological replicates were limited by natural outbreak sampling, matched high-depth multi-omics datasets provide exploratory insights into OWS-associated intestinal dysfunction. In summary, OWS entails a cold-triggered breakdown of intestinal barrier integrity and immune homeostasis. This breakdown is driven by a global restructuring of the gut microbiome, which is marked by increased richness, viral expansion, and functional shifts, ultimately resulting in altered host-microbe crosstalk. This ecological perspective informs future mechanistic and applied studies for disease prevention.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Carps/virology/microbiology
*Fish Diseases/virology/microbiology/genetics
*Intestinal Mucosa/virology/pathology/microbiology
Gastrointestinal Microbiome
Metagenomics
Transcriptome
Multiomics
RevDate: 2026-01-28
CmpDate: 2026-01-28
VERU-111 Promotes an Anti-Tumor Response Through Restoration of Gut Microbial Homeostasis and Associated Metabolic Dysregulation.
Cells, 15(2): pii:cells15020141.
The rising global burden of colorectal cancer (CRC) has now positioned it as the third most common cancer worldwide. Chemotherapy regimens are known to disrupt the composition of the gut microbiota and lead to long-term health consequences for cancer patients. However, the alteration of gut microbiota by specific chemotherapeutic agents has been insufficiently explored until now. The purpose of this study was to assess changes in the gut microbiota following treatment with VERU-111 as a chemotherapy agent for the treatment of CRC. We thus performed a metagenomic study using 16S rRNA gene amplicon sequencing of fecal samples from different experimental groups in the azoxymethane (AOM) and dextran sodium sulfate (DSS)-induced murine model of CRC. To predict the functional potential of microbial communities, we used the resulting 16S rRNA gene sequencing data to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. We found that the administration of VERU-111 led to a restructured microbial community that was characterized by increased alpha and beta diversity. Compared to the mice treated with DSS alone, VERU-111 treatment significantly increased the relative abundance of several bacterial species, including Verrucomicrobiota species, Muribaculum intestinale, Alistipes finegoldii, Turicibacter, and the well-known gut-protective bacterial species Akkermansia muciniphila. The relative abundance of Ruminococcus, which is negatively correlated with immune checkpoint blockade therapy, was diminished following VERU-111 administration. Overall, this metagenomic study suggests that the microbial shift after administration of VERU-111 is associated with suppression of several metabolic and cancer-related pathways that might, at least in part, facilitate the suppression of CRC. These favorable shifts in gut microbiota suggest a novel therapeutic dimension of using VERU-111 to treat CRC and emphasize the need for further mechanistic exploration.
Additional Links: PMID-41597216
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PubMed:
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@article {pmid41597216,
year = {2026},
author = {Mamun, MAA and Rakib, A and Mandal, M and Li, W and Miller, DD and Chen, H and Nagarkatti, M and Nagarkatti, P and Singh, UP},
title = {VERU-111 Promotes an Anti-Tumor Response Through Restoration of Gut Microbial Homeostasis and Associated Metabolic Dysregulation.},
journal = {Cells},
volume = {15},
number = {2},
pages = {},
doi = {10.3390/cells15020141},
pmid = {41597216},
issn = {2073-4409},
support = {AI140405//National Institute of Allergy and Infectious Diseases/ ; },
mesh = {*Gastrointestinal Microbiome/drug effects ; Animals ; Mice ; *Homeostasis/drug effects ; *Colorectal Neoplasms/drug therapy/microbiology/metabolism/pathology ; RNA, Ribosomal, 16S/genetics ; Mice, Inbred C57BL ; Azoxymethane ; Dextran Sulfate ; *Antineoplastic Agents/pharmacology ; Male ; Humans ; },
abstract = {The rising global burden of colorectal cancer (CRC) has now positioned it as the third most common cancer worldwide. Chemotherapy regimens are known to disrupt the composition of the gut microbiota and lead to long-term health consequences for cancer patients. However, the alteration of gut microbiota by specific chemotherapeutic agents has been insufficiently explored until now. The purpose of this study was to assess changes in the gut microbiota following treatment with VERU-111 as a chemotherapy agent for the treatment of CRC. We thus performed a metagenomic study using 16S rRNA gene amplicon sequencing of fecal samples from different experimental groups in the azoxymethane (AOM) and dextran sodium sulfate (DSS)-induced murine model of CRC. To predict the functional potential of microbial communities, we used the resulting 16S rRNA gene sequencing data to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. We found that the administration of VERU-111 led to a restructured microbial community that was characterized by increased alpha and beta diversity. Compared to the mice treated with DSS alone, VERU-111 treatment significantly increased the relative abundance of several bacterial species, including Verrucomicrobiota species, Muribaculum intestinale, Alistipes finegoldii, Turicibacter, and the well-known gut-protective bacterial species Akkermansia muciniphila. The relative abundance of Ruminococcus, which is negatively correlated with immune checkpoint blockade therapy, was diminished following VERU-111 administration. Overall, this metagenomic study suggests that the microbial shift after administration of VERU-111 is associated with suppression of several metabolic and cancer-related pathways that might, at least in part, facilitate the suppression of CRC. These favorable shifts in gut microbiota suggest a novel therapeutic dimension of using VERU-111 to treat CRC and emphasize the need for further mechanistic exploration.},
}
MeSH Terms:
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hide MeSH Terms
*Gastrointestinal Microbiome/drug effects
Animals
Mice
*Homeostasis/drug effects
*Colorectal Neoplasms/drug therapy/microbiology/metabolism/pathology
RNA, Ribosomal, 16S/genetics
Mice, Inbred C57BL
Azoxymethane
Dextran Sulfate
*Antineoplastic Agents/pharmacology
Male
Humans
RevDate: 2026-01-28
CmpDate: 2026-01-28
Effect of Garambullo (Myrtillocactus geometrizans) Consumption on the Intestinal Microbiota Profile in an Early-Phase Rat Model of Colon Cancer.
International journal of molecular sciences, 27(2): pii:ijms27021014.
Bioactive compounds in food contribute to reducing the risk of developing colon cancer by modulating the gut microbiota. We have recently demonstrated that garambullo (Myrtillocactus geometrizans), an endemic fruit of Mexico rich in bioactive compounds, attenuates aberrant crypt foci in an animal model. However, its potential to modulate the gut microbiota is unknown. The main objective of this study was to evaluate whether its consumption modulates colon carcinogenesis by altering the microbiota in an in vivo model induced by azoxymethane and dextran sulfate sodium (AOM/DSS). Fecal samples were collected from twelve male Sprague-Dawley rats and analyzed for microbiota composition after 0, 8, and 16 weeks of treatment with saline (control), AOM/DSS, garambullo (G), or residue of garambullo (RG) with AOM/DSS (G+AOM/DSS and RG+AOM/DSS, respectively). Characterization of the microbiome was based on the conserved region of the 16S rRNA V3-V4 gene, and analyzed by the ZymoBIOMICS' Targeted Metagenomics Sequencing (Zymo Research) service. In an animal model induced with AOM/DSS for 8 weeks, consumption of G and its residue increased the bacterial genera Shuttleworthiia, Subdoligranulum, Lactobacillus, Faecalibacterium, and Alloprevotella (p < 0.05). Consumption of G and its residue allowed the proliferation of bacteria that produce short-chain fatty acids and are associated with protective mechanisms of the colon.
Additional Links: PMID-41596659
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@article {pmid41596659,
year = {2026},
author = {Sánchez-Recillas, E and Almanza-Aguilera, E and Bars-Cortina, D and Zamora-Ros, R and GodÃnez-Santillán, RI and Sánchez-Tusié, AA and Vergara-Castañeda, HA},
title = {Effect of Garambullo (Myrtillocactus geometrizans) Consumption on the Intestinal Microbiota Profile in an Early-Phase Rat Model of Colon Cancer.},
journal = {International journal of molecular sciences},
volume = {27},
number = {2},
pages = {},
doi = {10.3390/ijms27021014},
pmid = {41596659},
issn = {1422-0067},
support = {1560335//Secretaría de Ciencia, Humanidades, Tecnología e Innovación/ ; FME202404//Autonomous University of Queretaro - FONFIVE/ ; },
mesh = {Animals ; *Gastrointestinal Microbiome/drug effects ; *Colonic Neoplasms/microbiology/chemically induced/pathology/drug therapy ; Male ; Rats ; Rats, Sprague-Dawley ; Disease Models, Animal ; Azoxymethane ; Feces/microbiology ; RNA, Ribosomal, 16S/genetics ; Dextran Sulfate ; *Plant Extracts/pharmacology ; Bacteria/genetics/classification ; },
abstract = {Bioactive compounds in food contribute to reducing the risk of developing colon cancer by modulating the gut microbiota. We have recently demonstrated that garambullo (Myrtillocactus geometrizans), an endemic fruit of Mexico rich in bioactive compounds, attenuates aberrant crypt foci in an animal model. However, its potential to modulate the gut microbiota is unknown. The main objective of this study was to evaluate whether its consumption modulates colon carcinogenesis by altering the microbiota in an in vivo model induced by azoxymethane and dextran sulfate sodium (AOM/DSS). Fecal samples were collected from twelve male Sprague-Dawley rats and analyzed for microbiota composition after 0, 8, and 16 weeks of treatment with saline (control), AOM/DSS, garambullo (G), or residue of garambullo (RG) with AOM/DSS (G+AOM/DSS and RG+AOM/DSS, respectively). Characterization of the microbiome was based on the conserved region of the 16S rRNA V3-V4 gene, and analyzed by the ZymoBIOMICS' Targeted Metagenomics Sequencing (Zymo Research) service. In an animal model induced with AOM/DSS for 8 weeks, consumption of G and its residue increased the bacterial genera Shuttleworthiia, Subdoligranulum, Lactobacillus, Faecalibacterium, and Alloprevotella (p < 0.05). Consumption of G and its residue allowed the proliferation of bacteria that produce short-chain fatty acids and are associated with protective mechanisms of the colon.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Gastrointestinal Microbiome/drug effects
*Colonic Neoplasms/microbiology/chemically induced/pathology/drug therapy
Male
Rats
Rats, Sprague-Dawley
Disease Models, Animal
Azoxymethane
Feces/microbiology
RNA, Ribosomal, 16S/genetics
Dextran Sulfate
*Plant Extracts/pharmacology
Bacteria/genetics/classification
RevDate: 2026-01-28
CmpDate: 2026-01-28
Species-Level Comparative Metagenomic Analysis of the Bacterial Abundance of the Gut Microbiome in Psoriasis, Hidradenitis Suppurativa, and Pemphigus Foliaceous Patients Using Shotgun Next-Generation Sequencing.
International journal of molecular sciences, 27(2): pii:ijms27020838.
Recent studies have revealed a specific relationship between gut bacteria and inflammatory skin profiles. We aimed to perform a species-level comparative metagenomic analysis of the gut microbiome in patients with psoriasis, hidradenitis suppurativa (HS), and pemphigus foliaceus (PF). We included omnivorous nonsmokers and nondrinkers with psoriasis (n = 24), HS (n = 10), and PF (n = 11), as well as healthy controls (n = 10). We collected faecal samples from all patients for classic parasitological analysis. Gut microbiome analysis was conducted using shotgun next-generation sequencing. We used the Deseq2, Limma_voom, LinDA, and MaAMaAsLin 2 bioinformatics tools to evaluate concordance and differential abundance between patients. Thirteen patients (23.64%) were diagnosed with active intestinal parasitosis. The presence of intestinal parasitosis was significantly related to immunosuppression (p = 0.009). The most abundant microorganism species found in the faeces of the patients evaluated was Escherichia coli. Psoriasis patients presented a greater abundance of bacteria from the Veillonellaceae family, whereas PF patients presented a greater abundance of Firmicutes bacteria. Patients with PF showed increased E. coli virulence and antibiotic resistance functional markers. Immunosuppression significantly influenced the presence of intestinal parasitosis as well as increased the virulence of functional markers in patients with PF receiving systemic corticosteroid therapy.
Additional Links: PMID-41596486
Publisher:
PubMed:
Citation:
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@article {pmid41596486,
year = {2026},
author = {Sá, L and Machado, E and Ginani, V and Timbó, R and Romiti, R and Kurizky, P and Gomes, C},
title = {Species-Level Comparative Metagenomic Analysis of the Bacterial Abundance of the Gut Microbiome in Psoriasis, Hidradenitis Suppurativa, and Pemphigus Foliaceous Patients Using Shotgun Next-Generation Sequencing.},
journal = {International journal of molecular sciences},
volume = {27},
number = {2},
pages = {},
doi = {10.3390/ijms27020838},
pmid = {41596486},
issn = {1422-0067},
support = {00193-00000279/2023-70//Fundação de Apoio à Pesquisa do Distrito Federal (FAP-DF)/ ; 445040/2023-8//National Council for Scientific and Technological Development/ ; 21/2023//Departamento de Ciência e Tecnologia, da Secretaria de Ciência, Tecnologia, Inovação e Com-plexo da Saúde, do Ministério da Saúde (Decit/SECTICS/MS)/ ; },
mesh = {Humans ; *Psoriasis/microbiology ; *Pemphigus/microbiology ; Female ; Male ; *Gastrointestinal Microbiome/genetics ; High-Throughput Nucleotide Sequencing/methods ; *Metagenomics/methods ; Middle Aged ; Adult ; *Hidradenitis Suppurativa/microbiology ; Feces/microbiology ; *Bacteria/genetics/classification ; Aged ; },
abstract = {Recent studies have revealed a specific relationship between gut bacteria and inflammatory skin profiles. We aimed to perform a species-level comparative metagenomic analysis of the gut microbiome in patients with psoriasis, hidradenitis suppurativa (HS), and pemphigus foliaceus (PF). We included omnivorous nonsmokers and nondrinkers with psoriasis (n = 24), HS (n = 10), and PF (n = 11), as well as healthy controls (n = 10). We collected faecal samples from all patients for classic parasitological analysis. Gut microbiome analysis was conducted using shotgun next-generation sequencing. We used the Deseq2, Limma_voom, LinDA, and MaAMaAsLin 2 bioinformatics tools to evaluate concordance and differential abundance between patients. Thirteen patients (23.64%) were diagnosed with active intestinal parasitosis. The presence of intestinal parasitosis was significantly related to immunosuppression (p = 0.009). The most abundant microorganism species found in the faeces of the patients evaluated was Escherichia coli. Psoriasis patients presented a greater abundance of bacteria from the Veillonellaceae family, whereas PF patients presented a greater abundance of Firmicutes bacteria. Patients with PF showed increased E. coli virulence and antibiotic resistance functional markers. Immunosuppression significantly influenced the presence of intestinal parasitosis as well as increased the virulence of functional markers in patients with PF receiving systemic corticosteroid therapy.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Psoriasis/microbiology
*Pemphigus/microbiology
Female
Male
*Gastrointestinal Microbiome/genetics
High-Throughput Nucleotide Sequencing/methods
*Metagenomics/methods
Middle Aged
Adult
*Hidradenitis Suppurativa/microbiology
Feces/microbiology
*Bacteria/genetics/classification
Aged
RevDate: 2026-01-28
CmpDate: 2026-01-28
Composition and Function of Gut Microbiome: From Basic Omics to Precision Medicine.
Genes, 17(1): pii:genes17010116.
The gut microbiome is defined as the collective assembly of microbial communities inhabiting the gut, along with their genes and metabolic products. The gut microbiome systematically regulates host metabolism, immunity, and neuroendocrine homeostasis via interspecies interaction networks and inter-organ axes. Given the importance of the gut microbiome to the host, this review integrates the composition, function, and genetic basis of the gut microbiome with host genomics to provide a systematic overview of recent advances in microbiome-host interactions. This encompasses a complete technological pipeline spanning from in vitro to in vivo models to translational medicine. This technological pipeline spans from single-bacterium CRISPR editing, organoid-microbiome co-culture, and sterile/humanized animal models to multi-omics integrated algorithms, machine learning causal inference, and individualized probiotic design. It aims to transform microbiome associations into precision intervention strategies that can be targeted and predicted for clinical application through interdisciplinary research, thereby providing the cornerstone of a new generation of precision treatment strategies for cancer, metabolic, and neurodegenerative diseases.
Additional Links: PMID-41595535
Publisher:
PubMed:
Citation:
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@article {pmid41595535,
year = {2026},
author = {Ma, Y and Wang, L and Hu, H and Shieh, AR and Li, E and He, D and He, L and Liu, Z and Paing, TM and Chen, X and Cao, Y},
title = {Composition and Function of Gut Microbiome: From Basic Omics to Precision Medicine.},
journal = {Genes},
volume = {17},
number = {1},
pages = {},
doi = {10.3390/genes17010116},
pmid = {41595535},
issn = {2073-4425},
mesh = {Humans ; *Gastrointestinal Microbiome/genetics ; *Precision Medicine/methods ; Animals ; Genomics/methods ; Probiotics ; },
abstract = {The gut microbiome is defined as the collective assembly of microbial communities inhabiting the gut, along with their genes and metabolic products. The gut microbiome systematically regulates host metabolism, immunity, and neuroendocrine homeostasis via interspecies interaction networks and inter-organ axes. Given the importance of the gut microbiome to the host, this review integrates the composition, function, and genetic basis of the gut microbiome with host genomics to provide a systematic overview of recent advances in microbiome-host interactions. This encompasses a complete technological pipeline spanning from in vitro to in vivo models to translational medicine. This technological pipeline spans from single-bacterium CRISPR editing, organoid-microbiome co-culture, and sterile/humanized animal models to multi-omics integrated algorithms, machine learning causal inference, and individualized probiotic design. It aims to transform microbiome associations into precision intervention strategies that can be targeted and predicted for clinical application through interdisciplinary research, thereby providing the cornerstone of a new generation of precision treatment strategies for cancer, metabolic, and neurodegenerative diseases.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Gastrointestinal Microbiome/genetics
*Precision Medicine/methods
Animals
Genomics/methods
Probiotics
RevDate: 2026-01-28
CmpDate: 2026-01-28
Lactobacillus-Dominated Cervical Microbiota Revealed by Long-Read 16S rRNA Sequencing: A Greek Pilot Study.
Genes, 17(1): pii:genes17010018.
Background/Objectives: The vaginal microbiota constitutes a highly dynamic microbial ecosystem shaped by the distinct mucosal, hormonal, and immunological environment of the female genital tract. Accumulating evidence suggests that shifts in cervical microbial composition and function may influence host-microbe interactions and contribute to gynecological disease risk. Within this framework, the present study aimed to perform an in-depth genomic characterization of the cervical microbiota in a well-defined cohort of Greek women. The primary objective was to explore the functional microbial landscape by identifying dominant bacterial taxa, taxon-specific signatures, and potential microbial pathways implicated in cervical epithelial homeostasis, immune modulation, and disease susceptibility. Methods: Microbial genomic DNA was isolated from 60 cervical samples using the Magcore Bacterial Automated Kit and analyzed through full-length 16S rRNA gene sequencing using the Nanopore MinIONâ„¢ platform, allowing high-resolution taxonomic assignment and enhanced functional inference. In parallel, cervical samples were screened for 14 HPV genotypes using a real-time PCR-based assay. Results: The cervical microbial communities were dominated by Lactobacillus iners, Lactobacillus crispatus, and Aerococcus christensenii, collectively representing over 75% of total microbial abundance and suggesting a functionally protective microbiota profile. A diverse set of low-abundance taxa-including Stenotrophomonas maltophilia, Stenotrophomonas pavanii, Acinetobacter septicus, Rhizobium spp. (Rhizobium rhizogenes, Rhizobium tropici, Rhizobium jaguaris), Prevotella amnii, Prevotella disiens, Brevibacterium casei, Fannyhessea vaginae, and Gemelliphila asaccharolytica-was also detected, potentially reflecting niche-specific metabolic functions or environmental microbial inputs. No HPV genotypes were detected in any of the cervical samples. Conclusions: This genomic profiling study underscores the functional dominance of Lactobacillus spp. within the cervical microbiota and highlights the contribution of low-abundance taxa that may participate in metabolic cross-feeding, immune signaling, or epithelial barrier modulation. Future large-scale, multi-omics studies integrating metagenomics and host transcriptomic data are warranted to validate microbial functional signatures as biomarkers or therapeutic targets for cervical health optimization.
Additional Links: PMID-41595438
Publisher:
PubMed:
Citation:
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@article {pmid41595438,
year = {2025},
author = {Vougiouklaki, D and Letsiou, S and Ladias, K and Tsakni, A and Mavrokefalidou, I and Siateli, Z and Halvatsiotis, P and Houhoula, D},
title = {Lactobacillus-Dominated Cervical Microbiota Revealed by Long-Read 16S rRNA Sequencing: A Greek Pilot Study.},
journal = {Genes},
volume = {17},
number = {1},
pages = {},
doi = {10.3390/genes17010018},
pmid = {41595438},
issn = {2073-4425},
mesh = {Female ; Humans ; *RNA, Ribosomal, 16S/genetics ; *Microbiota/genetics ; Pilot Projects ; *Cervix Uteri/microbiology ; Greece ; *Lactobacillus/genetics/isolation & purification/classification ; Adult ; Middle Aged ; Vagina/microbiology ; },
abstract = {Background/Objectives: The vaginal microbiota constitutes a highly dynamic microbial ecosystem shaped by the distinct mucosal, hormonal, and immunological environment of the female genital tract. Accumulating evidence suggests that shifts in cervical microbial composition and function may influence host-microbe interactions and contribute to gynecological disease risk. Within this framework, the present study aimed to perform an in-depth genomic characterization of the cervical microbiota in a well-defined cohort of Greek women. The primary objective was to explore the functional microbial landscape by identifying dominant bacterial taxa, taxon-specific signatures, and potential microbial pathways implicated in cervical epithelial homeostasis, immune modulation, and disease susceptibility. Methods: Microbial genomic DNA was isolated from 60 cervical samples using the Magcore Bacterial Automated Kit and analyzed through full-length 16S rRNA gene sequencing using the Nanopore MinIONâ„¢ platform, allowing high-resolution taxonomic assignment and enhanced functional inference. In parallel, cervical samples were screened for 14 HPV genotypes using a real-time PCR-based assay. Results: The cervical microbial communities were dominated by Lactobacillus iners, Lactobacillus crispatus, and Aerococcus christensenii, collectively representing over 75% of total microbial abundance and suggesting a functionally protective microbiota profile. A diverse set of low-abundance taxa-including Stenotrophomonas maltophilia, Stenotrophomonas pavanii, Acinetobacter septicus, Rhizobium spp. (Rhizobium rhizogenes, Rhizobium tropici, Rhizobium jaguaris), Prevotella amnii, Prevotella disiens, Brevibacterium casei, Fannyhessea vaginae, and Gemelliphila asaccharolytica-was also detected, potentially reflecting niche-specific metabolic functions or environmental microbial inputs. No HPV genotypes were detected in any of the cervical samples. Conclusions: This genomic profiling study underscores the functional dominance of Lactobacillus spp. within the cervical microbiota and highlights the contribution of low-abundance taxa that may participate in metabolic cross-feeding, immune signaling, or epithelial barrier modulation. Future large-scale, multi-omics studies integrating metagenomics and host transcriptomic data are warranted to validate microbial functional signatures as biomarkers or therapeutic targets for cervical health optimization.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Female
Humans
*RNA, Ribosomal, 16S/genetics
*Microbiota/genetics
Pilot Projects
*Cervix Uteri/microbiology
Greece
*Lactobacillus/genetics/isolation & purification/classification
Adult
Middle Aged
Vagina/microbiology
RevDate: 2026-01-28
CmpDate: 2026-01-28
Enhancing Ecological Functions in Chinese Yellow Earth: Metagenomic Evidence of Microbial and Nitrogen Cycle Reassembly by Organic Amendments.
Genes, 17(1): pii:genes17010009.
BACKGROUND: Chinese Yellow Earth is a key subtropical agricultural resource in southwestern China; however, its productivity is limited by acidity and poor nutrient retention. This study examined how reduced nitrogen plus organic amendments affect its soil microbial structure and maize yield.
METHODS: A field experiment with four treatments evaluated reduced nitrogen fertilization amended with rice husk plus rapeseed cake (RS) or RS with biochar (BC). Soil properties (pH, nitrogen, organic matter) and maize yield were analyzed. Metagenomic analysis (NR database) characterized microbial communities, and correlation analysis with Mantel tests identified key relationships.
RESULTS: Combined organic amendments under reduced N significantly increased soil pH, nitrogen components, and organic matter, increasing maize yield by 4.41-8.97%. Metagenomics revealed enriched beneficial genera including Sphingomonas and Bradyrhizobium. Yield positively correlated with nitrate nitrogen and a beneficial microbial cluster containing Lysobacter and Reyranella, whereas Steroidobacter negatively correlated with key fertility indicators. Mantel tests revealed nitrate nitrogen as the primary correlate of functional gene community succession.
CONCLUSIONS: This study reveals that reduced nitrogen with organic amendments promotes soil improvement and microbial modulation, demonstrating potential as a sustainable practice to maintain crop productivity in Chinese Yellow Earth. The observed trend toward yield improvement underscores its promise and warrants further validation through additional trials. Overall, the findings highlight the beneficial effects of these amendments on soil health and their role in supporting sustainable subtropical agriculture under reduced nitrogen input.
Additional Links: PMID-41595429
Publisher:
PubMed:
Citation:
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@article {pmid41595429,
year = {2025},
author = {Wu, H and Li, J and Long, J and Liao, H and Zhan, K and Chen, H and Lei, F},
title = {Enhancing Ecological Functions in Chinese Yellow Earth: Metagenomic Evidence of Microbial and Nitrogen Cycle Reassembly by Organic Amendments.},
journal = {Genes},
volume = {17},
number = {1},
pages = {},
doi = {10.3390/genes17010009},
pmid = {41595429},
issn = {2073-4425},
support = {Grants 2022YFD1901500 and 2022YFD1901505//the National Key R&D Program of China/ ; Grant U2420626//the National Natural Science Foundation of China (NSFC)/ ; },
mesh = {*Soil Microbiology ; Soil/chemistry ; *Nitrogen Cycle/genetics ; Metagenomics/methods ; Nitrogen/metabolism ; China ; Zea mays/growth & development ; Fertilizers ; *Microbiota/genetics ; Metagenome ; Bacteria/genetics/classification ; Charcoal ; },
abstract = {BACKGROUND: Chinese Yellow Earth is a key subtropical agricultural resource in southwestern China; however, its productivity is limited by acidity and poor nutrient retention. This study examined how reduced nitrogen plus organic amendments affect its soil microbial structure and maize yield.
METHODS: A field experiment with four treatments evaluated reduced nitrogen fertilization amended with rice husk plus rapeseed cake (RS) or RS with biochar (BC). Soil properties (pH, nitrogen, organic matter) and maize yield were analyzed. Metagenomic analysis (NR database) characterized microbial communities, and correlation analysis with Mantel tests identified key relationships.
RESULTS: Combined organic amendments under reduced N significantly increased soil pH, nitrogen components, and organic matter, increasing maize yield by 4.41-8.97%. Metagenomics revealed enriched beneficial genera including Sphingomonas and Bradyrhizobium. Yield positively correlated with nitrate nitrogen and a beneficial microbial cluster containing Lysobacter and Reyranella, whereas Steroidobacter negatively correlated with key fertility indicators. Mantel tests revealed nitrate nitrogen as the primary correlate of functional gene community succession.
CONCLUSIONS: This study reveals that reduced nitrogen with organic amendments promotes soil improvement and microbial modulation, demonstrating potential as a sustainable practice to maintain crop productivity in Chinese Yellow Earth. The observed trend toward yield improvement underscores its promise and warrants further validation through additional trials. Overall, the findings highlight the beneficial effects of these amendments on soil health and their role in supporting sustainable subtropical agriculture under reduced nitrogen input.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Soil Microbiology
Soil/chemistry
*Nitrogen Cycle/genetics
Metagenomics/methods
Nitrogen/metabolism
China
Zea mays/growth & development
Fertilizers
*Microbiota/genetics
Metagenome
Bacteria/genetics/classification
Charcoal
RevDate: 2026-01-28
CmpDate: 2026-01-28
Age-Specific Composition and Predicted Function of Gut Microbiota in Plateau Pikas (Ochotona curzoniae).
Biology, 15(2): pii:biology15020144.
Gut microbes play a crucial role in regulating physiological processes such as host energy metabolism, nutrient absorption, and environmental adaptation. The predicted functions of gut microbes can be influenced by many factors, both extrinsic and intrinsic to the hosts. The plateau pika is a key species in the alpine ecosystem of the Qinghai-Tibet Plateau. Previous research on the plateau pika primarily examined how extrinsic factors affected its gut microbiota. However, studies on intrinsic factors are scarce. Here, we used live-trapping to capture plateau pikas and collect cecum contents. Using metagenomic sequencing of cecum content samples, we characterized and compared the gut microbial composition and predicted function of plateau pika in adult (n = 9) and juvenile (n = 9) populations. The results indicated that Bacillota and Bacteroidete were the major bacterial phyla. The core gut microbial genera were the same, but the relative abundance of Oscillospira in juveniles was significantly lower than that in adults. The changes in the proportion of cellulose-degradation-related bacterial communities in juveniles suggest that they tend to choose low-fiber diets. In this study, we found no significant differences in the gut microbial composition and diversity, KEGG level 1 metabolic pathways, or CAZy class level between adult and juvenile plateau pikas. In total, the composition and predicted functions of cecal microorganisms in juvenile and adult male plateau pikas were not different. Regarding KEGG level 2 metabolic pathways, the juvenile group had a higher relative abundance of metabolic pathways for cofactors and vitamins, terpenoids, and polyketides, whereas the adult group had a higher relative abundance of energy metabolism. However, the resulting differences remain unclear. Therefore, future research should validate the above findings on a broader spatio-temporal scale and conduct cross-species comparisons to construct a microbial ecological framework for the health management of plateau wild animals.
Additional Links: PMID-41594879
Publisher:
PubMed:
Citation:
show bibtex listing
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@article {pmid41594879,
year = {2026},
author = {Han, H and Yang, Y and Zhu, X and Wangdwei, M and Yang, L},
title = {Age-Specific Composition and Predicted Function of Gut Microbiota in Plateau Pikas (Ochotona curzoniae).},
journal = {Biology},
volume = {15},
number = {2},
pages = {},
doi = {10.3390/biology15020144},
pmid = {41594879},
issn = {2079-7737},
support = {202401ZR0101//Natural Science Foundation of the Xizang Autonomous Region/ ; 2021-GSP-B015//High-level Personnel Training Program of Xizang University/ ; },
abstract = {Gut microbes play a crucial role in regulating physiological processes such as host energy metabolism, nutrient absorption, and environmental adaptation. The predicted functions of gut microbes can be influenced by many factors, both extrinsic and intrinsic to the hosts. The plateau pika is a key species in the alpine ecosystem of the Qinghai-Tibet Plateau. Previous research on the plateau pika primarily examined how extrinsic factors affected its gut microbiota. However, studies on intrinsic factors are scarce. Here, we used live-trapping to capture plateau pikas and collect cecum contents. Using metagenomic sequencing of cecum content samples, we characterized and compared the gut microbial composition and predicted function of plateau pika in adult (n = 9) and juvenile (n = 9) populations. The results indicated that Bacillota and Bacteroidete were the major bacterial phyla. The core gut microbial genera were the same, but the relative abundance of Oscillospira in juveniles was significantly lower than that in adults. The changes in the proportion of cellulose-degradation-related bacterial communities in juveniles suggest that they tend to choose low-fiber diets. In this study, we found no significant differences in the gut microbial composition and diversity, KEGG level 1 metabolic pathways, or CAZy class level between adult and juvenile plateau pikas. In total, the composition and predicted functions of cecal microorganisms in juvenile and adult male plateau pikas were not different. Regarding KEGG level 2 metabolic pathways, the juvenile group had a higher relative abundance of metabolic pathways for cofactors and vitamins, terpenoids, and polyketides, whereas the adult group had a higher relative abundance of energy metabolism. However, the resulting differences remain unclear. Therefore, future research should validate the above findings on a broader spatio-temporal scale and conduct cross-species comparisons to construct a microbial ecological framework for the health management of plateau wild animals.},
}
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