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ESP: PubMed Auto Bibliography 22 Apr 2026 at 01:31 Created:
Metagenomics
While genomics is the study of DNA extracted from individuals — individual cells, tissues, or organisms — metagenomics is a more recent refinement that analyzes samples of pooled DNA taken from the environment, not from an individual. Like genomics, metagenomic methods have great potential in many areas of biology, but none so much as in providing access to the hitherto invisible world of unculturable microbes, often estimated to comprise 90% or more of bacterial species and, in some ecosystems, the bulk of the biomass. A recent describes how this new science of metagenomics is beginning to reveal the secrets of our microbial world: The opportunity that stands before microbiologists today is akin to a reinvention of the microscope in the expanse of research questions it opens to investigation. Metagenomics provides a new way of examining the microbial world that not only will transform modern microbiology but has the potential to revolutionize understanding of the entire living world. In metagenomics, the power of genomic analysis is applied to entire communities of microbes, bypassing the need to isolate and culture individual bacterial community members.
Created with PubMed® Query: ( metagenomic OR metagenomics OR metagenome ) NOT pmcbook NOT ispreviousversion
Citations The Papers (from PubMed®)
RevDate: 2026-04-21
Meningitis and subdural empyema caused by group A streptococcal infection.
BMC pediatrics, 26(1):.
BACKGROUND: Group A streptococcus (GAS) could lead to various disease types in children, but central nervous system (CNS) infections are uncommon. In this paper, we analyzed the clinical features of a GAS case with meningitis and subdural empyema, and characterized the GAS clone.
CASE PRESENTATION: A thirteen-year-old boy complained of fever, headache, and left hemiplegia. Physical examination also showed central facial palsy of left side. The examinations of blood and cloudy cerebrospinal fluid (CSF) showed bacterial meningitis. Blood cultures and metagenomic sequencing (mNGS) of CSF showed GAS, and GAS antigen of throat swab was positive. The first anti-streptolysin (ASO) was negative, but increased obviously after 2 weeks. The examination of emm type showed emm 12.0 isolate. The head MRI showed restricted diffusion in the right frontal lobe, subdural empyema in the right side of cerebral falx, and meningitis. The CT revealed rhinosinusitis and mastoiditis. Bacterial meningitis, subdural empyema, sepsis, and sinusitis were diagnosed, and vancomycin and ceftriaxone were given. The patient also received dexamethasone in the beginning. Gradual improvement was seen in the patient’s clinical status, laboratory parameters (blood/CSF), and radiographic manifestations.
CONCLUSIONS: The contiguous spread from rhinosinusitis could lead to meningitis and intracranial abscess in adolescent. GAS infection could be the pathogen for subdural empyema in patients with an abrupt onset of symptoms and rapidly deteriorating clinical course.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-026-06722-9.
Additional Links: PMID-41814236
PubMed:
Citation:
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@article {pmid41814236,
year = {2026},
author = {Xiao, H and Zhang, Y and Zhu, L and Guo, M and Yao, K and Dong, F and Duan, X and Liu, G},
title = {Meningitis and subdural empyema caused by group A streptococcal infection.},
journal = {BMC pediatrics},
volume = {26},
number = {1},
pages = {},
pmid = {41814236},
issn = {1471-2431},
support = {2024-1-2092//Capital's Funds for Health Improvement and Research/ ; 2-1-2-6-15//2022 Beijing Major Epidemic Prevention and Control Specially Construction Project/ ; },
abstract = {BACKGROUND: Group A streptococcus (GAS) could lead to various disease types in children, but central nervous system (CNS) infections are uncommon. In this paper, we analyzed the clinical features of a GAS case with meningitis and subdural empyema, and characterized the GAS clone.
CASE PRESENTATION: A thirteen-year-old boy complained of fever, headache, and left hemiplegia. Physical examination also showed central facial palsy of left side. The examinations of blood and cloudy cerebrospinal fluid (CSF) showed bacterial meningitis. Blood cultures and metagenomic sequencing (mNGS) of CSF showed GAS, and GAS antigen of throat swab was positive. The first anti-streptolysin (ASO) was negative, but increased obviously after 2 weeks. The examination of emm type showed emm 12.0 isolate. The head MRI showed restricted diffusion in the right frontal lobe, subdural empyema in the right side of cerebral falx, and meningitis. The CT revealed rhinosinusitis and mastoiditis. Bacterial meningitis, subdural empyema, sepsis, and sinusitis were diagnosed, and vancomycin and ceftriaxone were given. The patient also received dexamethasone in the beginning. Gradual improvement was seen in the patient’s clinical status, laboratory parameters (blood/CSF), and radiographic manifestations.
CONCLUSIONS: The contiguous spread from rhinosinusitis could lead to meningitis and intracranial abscess in adolescent. GAS infection could be the pathogen for subdural empyema in patients with an abrupt onset of symptoms and rapidly deteriorating clinical course.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-026-06722-9.},
}
RevDate: 2026-04-21
Case Report: diagnosis of mixed Scedosporium apiospermum infection assisted by bronchoalveolar lavage fluid morphology.
BMC pulmonary medicine, 26(1):.
BACKGROUND: Scedosporium apiospermum is a highly aggressive opportunistic pathogen, widely distributed in natural environments. Infections predominantly occur in immunocompromised individuals but may also affect immunocompetent individuals with predisposing factors such as trauma, drowning, exposure to contaminated water, diabetes, or malnutrition.
CASE PRESENTATION: In the reported case, morphological abnormalities were initially identified in bronchoalveolar lavage fluid (BALF). Subsequent microbial culture identification and metagenomic next-generation sequencing (mNGS) confirmed a mixed infection involving S. apiospermum.
CONCLUSIONS: This case highlights the importance of improving laboratory personnel’s morphological recognition of S. apiospermum in routine examinations. The combined use of multiple diagnostic methods enhances detection rates, shortens the time to identification, ensures timely and effective treatment for patients, and ultimately reduces mortality.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-026-04215-0.
Additional Links: PMID-41814258
PubMed:
Citation:
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@article {pmid41814258,
year = {2026},
author = {Zhou, Y and Yu, D and Li, S and Ruan, S and Ye, J and Zhou, D and Chen, Q and Jin, J and Song, K},
title = {Case Report: diagnosis of mixed Scedosporium apiospermum infection assisted by bronchoalveolar lavage fluid morphology.},
journal = {BMC pulmonary medicine},
volume = {26},
number = {1},
pages = {},
pmid = {41814258},
issn = {1471-2466},
support = {2025HZZD01//The Construction Fund of Key Medical Disciplines of Hangzhou, Laboratory Diagnostics/ ; 2025JK256//Zhejiang Science and Technology Plan for Disease Prevention and Control/ ; },
abstract = {BACKGROUND: Scedosporium apiospermum is a highly aggressive opportunistic pathogen, widely distributed in natural environments. Infections predominantly occur in immunocompromised individuals but may also affect immunocompetent individuals with predisposing factors such as trauma, drowning, exposure to contaminated water, diabetes, or malnutrition.
CASE PRESENTATION: In the reported case, morphological abnormalities were initially identified in bronchoalveolar lavage fluid (BALF). Subsequent microbial culture identification and metagenomic next-generation sequencing (mNGS) confirmed a mixed infection involving S. apiospermum.
CONCLUSIONS: This case highlights the importance of improving laboratory personnel’s morphological recognition of S. apiospermum in routine examinations. The combined use of multiple diagnostic methods enhances detection rates, shortens the time to identification, ensures timely and effective treatment for patients, and ultimately reduces mortality.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-026-04215-0.},
}
RevDate: 2026-04-21
Multi-omics analysis reveals the association of cesarean delivery with altered gut microbial profiles and a Th2-biased immune response in neonates.
Journal of translational medicine, 24(1):.
BACKGROUND: The gut microbiota plays a crucial role in providing essential stimulatory signals for the development of the immune system during the early stages of life. Cesarean delivery is associated with altered vertical microbial transmission and may affect early immune priming. Currently, only a limited number of studies have investigated the interactions among gut microbiota, fecal metabolites, and immune function in neonates delivered by cesarean section, which underscores the necessity for further research.
METHODS: We performed metagenomic sequencing and untargeted metabolomics to compare the gut microbiota and fecal metabolites of neonates born through cesarean delivery (n = 18) and vaginal delivery (n = 20). RNA sequencing (RNA-Seq) was utilized to identify differentially expressed genes (DEGs) in peripheral blood mononuclear cells (PBMCs). Immune profiling involved flow cytometry analysis to determine the proportions of Th1 and Th2 cells, ELISA-based quantification of plasma IFN-γ, IL-12p70, IL-4, and IL-10, and assessment of STAT4 and STAT6 expression via ELISA and Western blot. Multi-omics integration was applied to elucidate the systemic impact of cesarean delivery on the neonatal gut microbiome, metabolome, and immune system.
RESULTS: The composition and functional features of the gut microbiota, and fecal metabolite profile, were significantly altered in Cesarean group. PBMC gene expression also showed marked differences, presenting a Th2-biased immune response and enrichment of genes associated with systemic lupus erythematosus and primary immunodeficiency. Flow cytometry and ELISA confirmed a Th1/Th2 imbalance, while Western blot revealed decreased STAT4 and increased STAT6 expression in the Cesarean group. Multi-omics analysis indicates that Bacteroides sp. is associated with alterations in fecal metabolite in neonates delivered via cesarean section. The reduced abundance of Bacteroides sp. and Bacteroides fragilis correlated with Th1/Th2 dysregulation. Additionally, gut microbiota changes were correlated with variations in the host oxidative phosphorylation pathway via fecal phosphate levels.
CONCLUSIONS: This multi-omics study reveals an association between the mode of delivery and distinct gut microbiota structure, fecal metabolite profiles, and immune development during early life. This provides a framework for investigating the potential connection between early-life immune programming and mode of delivery.
CLINICAL TRIAL NUMBER: Not applicable.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-026-07988-4.
Additional Links: PMID-41814359
PubMed:
Citation:
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@article {pmid41814359,
year = {2026},
author = {Lai, C and Zhang, J and Xiong, Y and Wang, Y and Liu, Z and Shi, M and Ye, S and Zeng, J},
title = {Multi-omics analysis reveals the association of cesarean delivery with altered gut microbial profiles and a Th2-biased immune response in neonates.},
journal = {Journal of translational medicine},
volume = {24},
number = {1},
pages = {},
pmid = {41814359},
issn = {1479-5876},
support = {Z-A20241044//Guangxi Zhuang Autonomous Region Health Department/ ; Z20210019//Guangxi Zhuang Autonomous Region Health Department/ ; Z-A20240946//Guangxi Zhuang Autonomous Region Health Department/ ; 2024GXNSFBA010112//Natural Science Foundation of Guangxi Zhuang Autonomous Region/ ; },
abstract = {BACKGROUND: The gut microbiota plays a crucial role in providing essential stimulatory signals for the development of the immune system during the early stages of life. Cesarean delivery is associated with altered vertical microbial transmission and may affect early immune priming. Currently, only a limited number of studies have investigated the interactions among gut microbiota, fecal metabolites, and immune function in neonates delivered by cesarean section, which underscores the necessity for further research.
METHODS: We performed metagenomic sequencing and untargeted metabolomics to compare the gut microbiota and fecal metabolites of neonates born through cesarean delivery (n = 18) and vaginal delivery (n = 20). RNA sequencing (RNA-Seq) was utilized to identify differentially expressed genes (DEGs) in peripheral blood mononuclear cells (PBMCs). Immune profiling involved flow cytometry analysis to determine the proportions of Th1 and Th2 cells, ELISA-based quantification of plasma IFN-γ, IL-12p70, IL-4, and IL-10, and assessment of STAT4 and STAT6 expression via ELISA and Western blot. Multi-omics integration was applied to elucidate the systemic impact of cesarean delivery on the neonatal gut microbiome, metabolome, and immune system.
RESULTS: The composition and functional features of the gut microbiota, and fecal metabolite profile, were significantly altered in Cesarean group. PBMC gene expression also showed marked differences, presenting a Th2-biased immune response and enrichment of genes associated with systemic lupus erythematosus and primary immunodeficiency. Flow cytometry and ELISA confirmed a Th1/Th2 imbalance, while Western blot revealed decreased STAT4 and increased STAT6 expression in the Cesarean group. Multi-omics analysis indicates that Bacteroides sp. is associated with alterations in fecal metabolite in neonates delivered via cesarean section. The reduced abundance of Bacteroides sp. and Bacteroides fragilis correlated with Th1/Th2 dysregulation. Additionally, gut microbiota changes were correlated with variations in the host oxidative phosphorylation pathway via fecal phosphate levels.
CONCLUSIONS: This multi-omics study reveals an association between the mode of delivery and distinct gut microbiota structure, fecal metabolite profiles, and immune development during early life. This provides a framework for investigating the potential connection between early-life immune programming and mode of delivery.
CLINICAL TRIAL NUMBER: Not applicable.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-026-07988-4.},
}
RevDate: 2026-04-21
Co-circulation of multiple arboviruses in acute febrile patients in Yunnan, China, identified by metagenomic sequencing.
Journal of clinical microbiology [Epub ahead of print].
UNLABELLED: Arboviruses such as dengue virus (DENV), chikungunya virus (CHIKV), and Zika virus (ZIKV) are transmitted by Aedes mosquitoes and mainly circulate in tropical and subtropical regions. With global warming, their geographic range is expanding, increasing their threat to public health. Yunnan Province, China, bordering Southeast Asia, is a hotspot for viral importation due to intensive cross-border mobility. However, systematic surveillance for these arboviruses among acute febrile patients remains insufficient. We performed metagenomic sequencing on serum specimens from 990 acute febrile patients at the China-Myanmar border between 2017 and 2023. The pathogens were confirmed by PCR and viral isolation. Phylogenetic and spatiotemporal analyses were used to infer viral origins and transmission dynamics. In this study, a CHIKV outbreak was confirmed in 2019, with strains closely related to those from Myanmar and Thailand. Four DENV serotypes 1-4 were identified, with the predominant serotype varying annually. ZIKV was detected and closely related to strains from Myanmar. Co-infections were identified, including one case each of CHIKV with DENV-1, CHIKV with DENV-3, CHIKV with ZIKV, and DENV-1 with DENV-2. Bayesian spatiotemporal analysis of CHIKV reconstructed global transmission routes, indicating that the 2019 outbreak in China likely originated in India and spread sequentially through Bangladesh, Thailand, and Myanmar. In addition, we also detected enterovirus, hepatitis virus, Saffold virus, and rhinovirus. This study reveals a comprehensive spectrum of pathogens, including the co-circulation of DENV, CHIKV, and ZIKV, and underscores the potential risk of arbovirus importation into China, highlighting the need for strengthened border surveillance.
IMPORTANCE: Arboviruses, including dengue virus (DENV), chikungunya virus (CHIKV), and Zika virus (ZIKV), are expanding their range and threatening global public health. Yunnan, situated along the China-Southeast Asia border, is highly susceptible to viral introduction. By applying viral metagenomic sequencing to acute febrile patients, this study uncovered a comprehensive spectrum of pathogens and the co-circulation of DENV, CHIKV, and ZIKV. Phylogenetic analyses revealed that arboviruses were closely related to strains from Myanmar and Thailand, indicating possible frequent cross-border viral introductions. Meanwhile, we reconstructed the global transmission pathways of CHIKV through Bayesian spatiotemporal analysis, providing valuable insights for regional prevention and control of arboviruses. These findings demonstrate that Yunnan serves as a critical interface for viral importation and underscore the urgent need to strengthen border surveillance and early warning systems to mitigate the spread of arboviruses.
Additional Links: PMID-42007817
Publisher:
PubMed:
Citation:
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@article {pmid42007817,
year = {2026},
author = {Chen, M and Kang, Y and Cheng, M and Li, X and Keng, J and Zhao, P and Sui, H and Dong, J and Sun, L and Liu, B and Hu, Y and Jiang, J and Yang, F},
title = {Co-circulation of multiple arboviruses in acute febrile patients in Yunnan, China, identified by metagenomic sequencing.},
journal = {Journal of clinical microbiology},
volume = {},
number = {},
pages = {e0167025},
doi = {10.1128/jcm.01670-25},
pmid = {42007817},
issn = {1098-660X},
abstract = {UNLABELLED: Arboviruses such as dengue virus (DENV), chikungunya virus (CHIKV), and Zika virus (ZIKV) are transmitted by Aedes mosquitoes and mainly circulate in tropical and subtropical regions. With global warming, their geographic range is expanding, increasing their threat to public health. Yunnan Province, China, bordering Southeast Asia, is a hotspot for viral importation due to intensive cross-border mobility. However, systematic surveillance for these arboviruses among acute febrile patients remains insufficient. We performed metagenomic sequencing on serum specimens from 990 acute febrile patients at the China-Myanmar border between 2017 and 2023. The pathogens were confirmed by PCR and viral isolation. Phylogenetic and spatiotemporal analyses were used to infer viral origins and transmission dynamics. In this study, a CHIKV outbreak was confirmed in 2019, with strains closely related to those from Myanmar and Thailand. Four DENV serotypes 1-4 were identified, with the predominant serotype varying annually. ZIKV was detected and closely related to strains from Myanmar. Co-infections were identified, including one case each of CHIKV with DENV-1, CHIKV with DENV-3, CHIKV with ZIKV, and DENV-1 with DENV-2. Bayesian spatiotemporal analysis of CHIKV reconstructed global transmission routes, indicating that the 2019 outbreak in China likely originated in India and spread sequentially through Bangladesh, Thailand, and Myanmar. In addition, we also detected enterovirus, hepatitis virus, Saffold virus, and rhinovirus. This study reveals a comprehensive spectrum of pathogens, including the co-circulation of DENV, CHIKV, and ZIKV, and underscores the potential risk of arbovirus importation into China, highlighting the need for strengthened border surveillance.
IMPORTANCE: Arboviruses, including dengue virus (DENV), chikungunya virus (CHIKV), and Zika virus (ZIKV), are expanding their range and threatening global public health. Yunnan, situated along the China-Southeast Asia border, is highly susceptible to viral introduction. By applying viral metagenomic sequencing to acute febrile patients, this study uncovered a comprehensive spectrum of pathogens and the co-circulation of DENV, CHIKV, and ZIKV. Phylogenetic analyses revealed that arboviruses were closely related to strains from Myanmar and Thailand, indicating possible frequent cross-border viral introductions. Meanwhile, we reconstructed the global transmission pathways of CHIKV through Bayesian spatiotemporal analysis, providing valuable insights for regional prevention and control of arboviruses. These findings demonstrate that Yunnan serves as a critical interface for viral importation and underscore the urgent need to strengthen border surveillance and early warning systems to mitigate the spread of arboviruses.},
}
RevDate: 2026-04-21
Uncovering novel virophages and giant viruses in high-altitude Lake Namtso: diversity and evolution of host-virus-virophage tripartite interaction systems.
Archives of microbiology, 208(7):.
Additional Links: PMID-42008001
PubMed:
Citation:
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@article {pmid42008001,
year = {2026},
author = {Hu, C and Yu, J and Chu, T and Wang, Q and Chen, L and Yu, Y and Wang, Y},
title = {Uncovering novel virophages and giant viruses in high-altitude Lake Namtso: diversity and evolution of host-virus-virophage tripartite interaction systems.},
journal = {Archives of microbiology},
volume = {208},
number = {7},
pages = {},
pmid = {42008001},
issn = {1432-072X},
}
RevDate: 2026-04-20
Biphasic dynamics of N-nitrosodimethylamine precursors in effluent-receiving rivers: Insights from multi-omics into microbial nitrogen metabolism regulation.
Water research, 300:125933 pii:S0043-1354(26)00615-9 [Epub ahead of print].
Wastewater effluent introduces substantial dissolved organic nitrogen into rivers, thereby increasing the risk of carcinogenic N-nitrosodimethylamine (NDMA) formation from its precursors. However, the microbial metabolic mechanisms governing dynamics of these precursors along receiving rivers remain unclear. Here, through a 21-day time-series incubation of sediments from upstream, outfall, and downstream areas of a representative wastewater treatment plant, combined with multi-omics analyses i.e., 16S rRNA gene sequencing, metagenomics, and metabolomics, the transformation of precursors and microbially mediated nitrogen metabolism were elucidated. A biphasic pattern of NDMA precursors measured as formation potential (FP) was observed during incubation, characterized by a rapid formation from days 0 to 3 followed by a remarkable degradation until day 7 and subsequent stabilization. Nitrate peaked paralleling NDMA FP, with nitrite accumulation following the onset of precursors degradation. Multi-omics analysis revealed that this turnover was driven by strong functional coupling between key nitrogen-cycling taxa and specific metabolites, particularly short-chain peptides. Community structure in the early phase was dominated by r‑strategists e.g., Bacillota, which promoted organic nitrogen degradation and nitrification, resulting in the accumulation of NDMA precursors. As anoxia developed, the community shifted toward K‑strategists such as Pseudomonadota and Chloroflexota, which likely degraded precursors through co-metabolism and consumption of ammonia source. Metabolomics revealed the conversion of precursors into short-chain peptides and amino acid analogues. Notably, effluent exposure established a functionally specialized legacy effect in downstream sediments, stabilizing into a microbial metabolic hotspot with a peak NDMA FP of 1285 ng/L, 158% and 80.7% higher than those in the upstream and outfall area, respectively. This study establishes a mechanistic framework for evaluating the transformation and risk of NDMA precursors in river systems, with direct implications for monitoring strategies and designing of the wastewater outfall location.
Additional Links: PMID-42008944
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PubMed:
Citation:
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@article {pmid42008944,
year = {2026},
author = {Liu, J and Li, Y and Wang, H and Wang, L and Wu, G and Zhao, B},
title = {Biphasic dynamics of N-nitrosodimethylamine precursors in effluent-receiving rivers: Insights from multi-omics into microbial nitrogen metabolism regulation.},
journal = {Water research},
volume = {300},
number = {},
pages = {125933},
doi = {10.1016/j.watres.2026.125933},
pmid = {42008944},
issn = {1879-2448},
abstract = {Wastewater effluent introduces substantial dissolved organic nitrogen into rivers, thereby increasing the risk of carcinogenic N-nitrosodimethylamine (NDMA) formation from its precursors. However, the microbial metabolic mechanisms governing dynamics of these precursors along receiving rivers remain unclear. Here, through a 21-day time-series incubation of sediments from upstream, outfall, and downstream areas of a representative wastewater treatment plant, combined with multi-omics analyses i.e., 16S rRNA gene sequencing, metagenomics, and metabolomics, the transformation of precursors and microbially mediated nitrogen metabolism were elucidated. A biphasic pattern of NDMA precursors measured as formation potential (FP) was observed during incubation, characterized by a rapid formation from days 0 to 3 followed by a remarkable degradation until day 7 and subsequent stabilization. Nitrate peaked paralleling NDMA FP, with nitrite accumulation following the onset of precursors degradation. Multi-omics analysis revealed that this turnover was driven by strong functional coupling between key nitrogen-cycling taxa and specific metabolites, particularly short-chain peptides. Community structure in the early phase was dominated by r‑strategists e.g., Bacillota, which promoted organic nitrogen degradation and nitrification, resulting in the accumulation of NDMA precursors. As anoxia developed, the community shifted toward K‑strategists such as Pseudomonadota and Chloroflexota, which likely degraded precursors through co-metabolism and consumption of ammonia source. Metabolomics revealed the conversion of precursors into short-chain peptides and amino acid analogues. Notably, effluent exposure established a functionally specialized legacy effect in downstream sediments, stabilizing into a microbial metabolic hotspot with a peak NDMA FP of 1285 ng/L, 158% and 80.7% higher than those in the upstream and outfall area, respectively. This study establishes a mechanistic framework for evaluating the transformation and risk of NDMA precursors in river systems, with direct implications for monitoring strategies and designing of the wastewater outfall location.},
}
RevDate: 2026-04-20
Microbiome signature of Parkinson's disease in healthy and genetically at-risk individuals.
Nature medicine [Epub ahead of print].
Parkinson's disease (PD) is a major cause of disability. GBA1 variants are the most common genetic risk factor for PD and increase the risk up to 30-fold. Why only approximately 20% of GBA1 variant carriers develop PD remains unknown. Here, by combining clinical and fecal metagenomics data from 271 patients with PD, from 43 carriers of GBA1 variants not manifesting PD symptoms (GBA-NMC) and from 150 healthy controls, and using an innovative microbiome analysis, combining differential abundance of species and coherence of differential abundance variation between the groups as assessed by Cliff's delta (δ), we show that the composition of a large component of the gut microbiome (approximately 25%) in GBA-NMC is intermediate between healthy controls and patients with PD. This component is strongly correlated with disease progression in patients and prodromal symptoms suggestive of future development of PD in both GBA-NMC and healthy individuals. We found microbiome alterations similar to those described here in three independent cohorts from the United States, Korea and Turkey, totaling 638 patients with PD and 319 healthy controls, and we conclude that gut microbiome alterations can identify both genetically and non-genetically at-risk individuals in the general population who may be progressing toward PD, thus serving as an early marker of disease development in the premanifest phase.
Additional Links: PMID-42010118
PubMed:
Citation:
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@article {pmid42010118,
year = {2026},
author = {Menozzi, E and Ren, Y and Geiger, M and Macnaughtan, J and Avenali, M and Toffoli, M and Gilles, M and Calabrese, R and Mitrotti, P and Gallo, L and Famechon, A and Del Pozo, SL and Mezabrovschi, R and Koletsi, S and Loefflad, N and Yalkic, S and Limbachiya, N and Clasen, F and Yildirim, S and Shoaie, S and Blottière, H and Morabito, C and David, A and Quinquis, B and Pons, N and Le Chatelier, E and Valzania, F and Cavallieri, F and Fioravanti, V and Toschi, G and Blandini, F and Almeida, M and Ehrlich, SD and Meslier, V and Schapira, AHV},
title = {Microbiome signature of Parkinson's disease in healthy and genetically at-risk individuals.},
journal = {Nature medicine},
volume = {},
number = {},
pages = {},
pmid = {42010118},
issn = {1546-170X},
support = {MR/T046007/1//EU Joint Programme - Neurodegenerative Disease Research (Programi i Përbashkët i BE-së për Kërkimet mbi Sëmundjet Neuro-degjeneruese)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; ASAP-000420//Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)/ ; },
abstract = {Parkinson's disease (PD) is a major cause of disability. GBA1 variants are the most common genetic risk factor for PD and increase the risk up to 30-fold. Why only approximately 20% of GBA1 variant carriers develop PD remains unknown. Here, by combining clinical and fecal metagenomics data from 271 patients with PD, from 43 carriers of GBA1 variants not manifesting PD symptoms (GBA-NMC) and from 150 healthy controls, and using an innovative microbiome analysis, combining differential abundance of species and coherence of differential abundance variation between the groups as assessed by Cliff's delta (δ), we show that the composition of a large component of the gut microbiome (approximately 25%) in GBA-NMC is intermediate between healthy controls and patients with PD. This component is strongly correlated with disease progression in patients and prodromal symptoms suggestive of future development of PD in both GBA-NMC and healthy individuals. We found microbiome alterations similar to those described here in three independent cohorts from the United States, Korea and Turkey, totaling 638 patients with PD and 319 healthy controls, and we conclude that gut microbiome alterations can identify both genetically and non-genetically at-risk individuals in the general population who may be progressing toward PD, thus serving as an early marker of disease development in the premanifest phase.},
}
RevDate: 2026-04-20
A seven-year metagenomic genome catalogue of mangrove and mudflat sediments from the Futian Reserve, China.
Scientific data pii:10.1038/s41597-026-07291-3 [Epub ahead of print].
Mangrove wetlands are ecologically and biogeochemically important "blue-carbon" ecosystems, yet long-term genomic resources for their microbial communities remain scarce. Here we present a seven-year (2017-2023) metagenomic dataset from the Futian Mangrove National Nature Reserve, China, comprising 65 sediment samples collected from paired habitats (mangrove forest and adjacent mudflat) across multiple depths. Sequencing produced ~5.3 Tbp of data, from which 6,922 metagenome-assembled genomes (MAGs) were reconstructed and dereplicated into 3,404 representative genomes (336 Archaea and 3,068 Bacteria). Quality control ensured that all genomes achieved medium- or high-quality standards, with assembly statistics and read recruitment rates supporting robustness and representativeness. Taxonomic annotation revealed broad phylogenetic diversity spanning 13 archaeal and 69 bacterial phyla, with many lineages lacking formal nomenclature and representing potential novel taxa. All raw sequences, genome assemblies, and detailed metadata have been deposited in public repositories, providing a standardized, time-resolved resource for comparative genomics, microbial ecology, and ecosystem restoration studies in coastal wetlands.
Additional Links: PMID-42010313
Publisher:
PubMed:
Citation:
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@article {pmid42010313,
year = {2026},
author = {Qi, YL and Zou, DY and Hou, JJ and Zhang, ZF and Du, H and Feng, XY and Pan, YP and Zhang, CJ and Liu, Y and Li, M},
title = {A seven-year metagenomic genome catalogue of mangrove and mudflat sediments from the Futian Reserve, China.},
journal = {Scientific data},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41597-026-07291-3},
pmid = {42010313},
issn = {2052-4463},
support = {42430707//National Natural Science Foundation of China/ ; 32370055//National Natural Science Foundation of China/ ; 32225003, 32393970, 92251306//National Natural Science Foundation of China/ ; JCYJ20230808105711023//General Program supported by Shenzhen Natural Science Foundation in Basic Research Fund/ ; 2023B0303000017//Guangdong Major Project of Basic and Applied Basic Research/ ; 2022B002//Shenzhen University 2035 Program for Excellent Research/ ; 2024T001//Shenzhen University Special Funding Initiative/ ; },
abstract = {Mangrove wetlands are ecologically and biogeochemically important "blue-carbon" ecosystems, yet long-term genomic resources for their microbial communities remain scarce. Here we present a seven-year (2017-2023) metagenomic dataset from the Futian Mangrove National Nature Reserve, China, comprising 65 sediment samples collected from paired habitats (mangrove forest and adjacent mudflat) across multiple depths. Sequencing produced ~5.3 Tbp of data, from which 6,922 metagenome-assembled genomes (MAGs) were reconstructed and dereplicated into 3,404 representative genomes (336 Archaea and 3,068 Bacteria). Quality control ensured that all genomes achieved medium- or high-quality standards, with assembly statistics and read recruitment rates supporting robustness and representativeness. Taxonomic annotation revealed broad phylogenetic diversity spanning 13 archaeal and 69 bacterial phyla, with many lineages lacking formal nomenclature and representing potential novel taxa. All raw sequences, genome assemblies, and detailed metadata have been deposited in public repositories, providing a standardized, time-resolved resource for comparative genomics, microbial ecology, and ecosystem restoration studies in coastal wetlands.},
}
RevDate: 2026-04-21
Metagenomics reveals gut microbial differences and ecological adaptation in plateau zokor (Eospalax baileyi) populations.
BMC microbiology pii:10.1186/s12866-026-05069-6 [Epub ahead of print].
Additional Links: PMID-42010457
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PubMed:
Citation:
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@article {pmid42010457,
year = {2026},
author = {Guo, J and Liang, C and Cairang, L and Si, L and Yan, J and Liu, D},
title = {Metagenomics reveals gut microbial differences and ecological adaptation in plateau zokor (Eospalax baileyi) populations.},
journal = {BMC microbiology},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12866-026-05069-6},
pmid = {42010457},
issn = {1471-2180},
support = {LHZX-2023-02//Sanjiangyuan National Park Joint Grant from the Chinese Academy of Sciences and the People's Government of Qinghai Province/ ; },
}
RevDate: 2026-04-21
Unveiling microbial risks in Chinese household dust: a comprehensive analysis from absolute abundance to virulence unit.
Microbiome pii:10.1186/s40168-026-02353-5 [Epub ahead of print].
BACKGROUND: People spend the majority of their lives indoors, yet the risk and virulence potential of household microbiota remain largely unexplored, particularly in developing countries.
RESULTS: Here, we conducted a nationwide survey on both dust samples and health information across 118 Chinese households. The microbiota composition and its functional units were analyzed using absolute 16S rRNA/ITS sequencing, metagenomics, and metaproteomics. Cross-domain network analysis of the core microbial communities revealed robust co-occurrence patterns in household dust. The mean absolute abundance of potentially pathogenic bacteria and fungi in households was 2.39 × 10[5] and 2.83 × 10[6] DNA copies/g dust. The potentially pathogenic community was primarily influenced by latitude, relative humidity, and average temperature. Although total absolute abundance was substantially lower in urban areas, the relative abundance of potentially pathogenic bacteria was markedly higher compared to rural environments. While urban-rural differences existed, the underlying statistical drivers were the environmental variables. The absolute abundance of potential pathogens was significantly associated with the prevalence of rhinitis, wheeze, and dermatitis in 266 participants. Children were identified as the highest-risk group from inhalation exposure of average daily dose. A total of 170 bacterial, 223 fungal virulence factors (VFs), and 370 antibiotic resistance genes (ARGs) were detected in dust and dust extracellular vesicle (EV)-associated DNA. EV-associated cargoes contributed 47.13% to the bacterial VF profiles, 11.90% to fungal VF profiles, and 44.45% to ARG profiles. Metaproteomic analysis confirmed the presence of VF profiles in dust EVs, which was further verified by curated proteomics data from 35 household pathogens.
CONCLUSIONS: This study provides a comprehensive, quantitative framework linking indoor microbial exposure to health risks, highlighting EVs as a non-negligible, novel, extracellular mechanistic pathway for health impact in household environments. Video Abstract.
Additional Links: PMID-42010710
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PubMed:
Citation:
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@article {pmid42010710,
year = {2026},
author = {Long, L and An, Y and Zhu, LT and Xu, XL and Lin, JJ and Xu, WJ and Chen, JY and Liu, FY and Liu, XY and Huang, Q},
title = {Unveiling microbial risks in Chinese household dust: a comprehensive analysis from absolute abundance to virulence unit.},
journal = {Microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40168-026-02353-5},
pmid = {42010710},
issn = {2049-2618},
support = {(42177362)//National Natural Science Foundation of China/ ; (2025J02030, 2025J01256)//Fujian Provincial Natural Science Foundation of China/ ; (NO. NBSDC-DB-21)//National Basic Science Data Center "Environment Health DataBase"/ ; },
abstract = {BACKGROUND: People spend the majority of their lives indoors, yet the risk and virulence potential of household microbiota remain largely unexplored, particularly in developing countries.
RESULTS: Here, we conducted a nationwide survey on both dust samples and health information across 118 Chinese households. The microbiota composition and its functional units were analyzed using absolute 16S rRNA/ITS sequencing, metagenomics, and metaproteomics. Cross-domain network analysis of the core microbial communities revealed robust co-occurrence patterns in household dust. The mean absolute abundance of potentially pathogenic bacteria and fungi in households was 2.39 × 10[5] and 2.83 × 10[6] DNA copies/g dust. The potentially pathogenic community was primarily influenced by latitude, relative humidity, and average temperature. Although total absolute abundance was substantially lower in urban areas, the relative abundance of potentially pathogenic bacteria was markedly higher compared to rural environments. While urban-rural differences existed, the underlying statistical drivers were the environmental variables. The absolute abundance of potential pathogens was significantly associated with the prevalence of rhinitis, wheeze, and dermatitis in 266 participants. Children were identified as the highest-risk group from inhalation exposure of average daily dose. A total of 170 bacterial, 223 fungal virulence factors (VFs), and 370 antibiotic resistance genes (ARGs) were detected in dust and dust extracellular vesicle (EV)-associated DNA. EV-associated cargoes contributed 47.13% to the bacterial VF profiles, 11.90% to fungal VF profiles, and 44.45% to ARG profiles. Metaproteomic analysis confirmed the presence of VF profiles in dust EVs, which was further verified by curated proteomics data from 35 household pathogens.
CONCLUSIONS: This study provides a comprehensive, quantitative framework linking indoor microbial exposure to health risks, highlighting EVs as a non-negligible, novel, extracellular mechanistic pathway for health impact in household environments. Video Abstract.},
}
RevDate: 2026-04-21
Metabolome-driven rhizosphere microbiome assembly determining the health of medicinal herb (Angelica sinensis) against root rot.
Microbiome pii:10.1186/s40168-026-02393-x [Epub ahead of print].
BACKGROUND: The rhizosphere-associated microbiota plays a crucial role in plant responses to disease stress. Plant secondary metabolites are recognized as crucial mediators in the assembly of rhizosphere microbial communities, particularly by enhancing the colonization of beneficial microorganisms. Despite this recognized importance, a deeper understanding of how such metabolome-driven microbiome assembly specifically determines plant resistance against soil-borne diseases is still lacking.
RESULTS: Here, we focused on the widely planted medicinal plant Angelica sinensis and demonstrated that root rot-diseased rhizosphere soils (DRS) exhibited a higher relative abundance of Fusarium and a lower relative abundance of Streptomyces compared to healthy rhizosphere soils (HRS). Shotgun metagenomic sequencing revealed that metabolism-associated genes, particularly those related to steroid degradation, are significantly enriched in HRS samples. Subsequent genome and functional gene analysis of Streptomyces revealed that the steroid degradation-related genes are associated with rhizosphere colonization in hosts. Rhizosphere Streptomyces S15 directly antagonized Fusarium and enhanced the root resistance of A. sinensis. Comparative metabolomics showed that A. sinensis plants from HRS secreted more lipid and lipid-like molecules than those from DRS, especially sterol lipids and long-chain fatty acids, which promoted the growth of Streptomyces S15 isolates. Transcriptome analysis validated that the lipid hormones are essential for sporulation, biofilm formation, and streptomycin biosynthesis of S15 strain. Finally, exogenous application of synbiotics (lipid prebiotics and S15) to A. sinensis resulted in the enrichment of S15-homologous Streptomyces amplicon sequence variant (ASV), further establishing beneficial bacterial communities in Fusarium-stressed rhizospheres.
CONCLUSIONS: Our study proposes that A. sinensis recruits steroid-metabolizing Streptomyces species by exuding key lipid compounds (i.e., methyl jasmonate and brassinolide) to combat Fusarium root rot. This study provides novel insights into using functional synbiotics as a promising strategy for manipulating plant-microbiome interactions to promote sustainable agriculture. Video Abstract.
Additional Links: PMID-42010711
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PubMed:
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@article {pmid42010711,
year = {2026},
author = {You, C and Zhang, W and Guan, Y and Liang, Q and Nong, C and Yang, T and Li, M and Banerjee, S and Zhou, X and Wang, X and Xu, Y and Shen, Q and Wei, Z},
title = {Metabolome-driven rhizosphere microbiome assembly determining the health of medicinal herb (Angelica sinensis) against root rot.},
journal = {Microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40168-026-02393-x},
pmid = {42010711},
issn = {2049-2618},
support = {2022YFC3501501//National Key Research and Development Program of China/ ; KJYQ2025034, KJYQ2024039//Fundamental Research Funds for the Central Universities/ ; BK20240194//the Natural Science Foundation of Jiangsu Province/ ; },
abstract = {BACKGROUND: The rhizosphere-associated microbiota plays a crucial role in plant responses to disease stress. Plant secondary metabolites are recognized as crucial mediators in the assembly of rhizosphere microbial communities, particularly by enhancing the colonization of beneficial microorganisms. Despite this recognized importance, a deeper understanding of how such metabolome-driven microbiome assembly specifically determines plant resistance against soil-borne diseases is still lacking.
RESULTS: Here, we focused on the widely planted medicinal plant Angelica sinensis and demonstrated that root rot-diseased rhizosphere soils (DRS) exhibited a higher relative abundance of Fusarium and a lower relative abundance of Streptomyces compared to healthy rhizosphere soils (HRS). Shotgun metagenomic sequencing revealed that metabolism-associated genes, particularly those related to steroid degradation, are significantly enriched in HRS samples. Subsequent genome and functional gene analysis of Streptomyces revealed that the steroid degradation-related genes are associated with rhizosphere colonization in hosts. Rhizosphere Streptomyces S15 directly antagonized Fusarium and enhanced the root resistance of A. sinensis. Comparative metabolomics showed that A. sinensis plants from HRS secreted more lipid and lipid-like molecules than those from DRS, especially sterol lipids and long-chain fatty acids, which promoted the growth of Streptomyces S15 isolates. Transcriptome analysis validated that the lipid hormones are essential for sporulation, biofilm formation, and streptomycin biosynthesis of S15 strain. Finally, exogenous application of synbiotics (lipid prebiotics and S15) to A. sinensis resulted in the enrichment of S15-homologous Streptomyces amplicon sequence variant (ASV), further establishing beneficial bacterial communities in Fusarium-stressed rhizospheres.
CONCLUSIONS: Our study proposes that A. sinensis recruits steroid-metabolizing Streptomyces species by exuding key lipid compounds (i.e., methyl jasmonate and brassinolide) to combat Fusarium root rot. This study provides novel insights into using functional synbiotics as a promising strategy for manipulating plant-microbiome interactions to promote sustainable agriculture. Video Abstract.},
}
RevDate: 2026-04-21
Gut microbiota induces dysspermatogenesis via microbial-derived phenylacetylglycine in Ggt1-deficient mice.
Microbiome pii:10.1186/s40168-026-02401-0 [Epub ahead of print].
BACKGROUND: Male infertility represents a global health concern, with emerging evidence linking gut microbiota dysbiosis to dysspermatogenesis and subfertility. However, the molecular mediators and regulatory mechanisms by which gut microbiota influences testicular functions remain poorly defined.
RESULTS: This study demonstrates that male gamma-glutamyl transferase 1-deletion (Ggt1[-/-]) mice exhibits infertility phenotypes, including reduced germ and testicular Leydig cell numbers, increased rates of abnormal sperm, and altered reproductive hormone levels. Metabolomic analysis reveals elevated levels of the gut microbial-derived metabolite phenylacetylglycine (PAGly) in serum and testes of Ggt1[-/-] mice, with in vivo injection experiments indicating its role in impairing spermatogenesis. Moreover, blocking PAGly effectively restores the impaired spermatogenesis in Ggt1[-/-] mice. Fecal metagenomic and metabolomic analyses show that gut microbiota in Ggt1[-/-] mice induces elevation of phenylacetic acid, a precursor metabolite of PAGly. Strikingly, fecal microbiota transplantation from Ggt1[-/-] mice (Ggt1[-/-]-FMT) recapitulates the infertility phenotypes including reduced germ cells and increased rates of abnormal sperm. Mechanistically, integrated CUT&Tag and ATAC-Seq analyses reveal that transcription factor STAT5B occupies regulatory elements near Klk1b transcription start sites (TSS), confirming that transcription factor STAT5B directly regulates Klk1b gene transcription. Concretely, PAGly activates β2-adrenergic receptor (β2AR) on Leydig cells, triggering STAT3 phosphorylation, subsequent SOCS3 upregulation, and STAT5B phosphorylation suppression; p-STAT5B with transcriptional activation function is reduced, then Klk1b gene transcription is compromised, and therefore spermatogenesis is disrupted.
CONCLUSION: Ggt1 deletion-induced gut microbiota dysbiosis disrupts spermatogenesis via β2AR-STAT3-SOCS3-STAT5B-Klk1bs signaling pathway. Specifically, PAGly-induced β2AR activation promotes STAT3 phosphorylation, which induces SOCS3 to suppress p-STAT5B dependent Klk1bs transcription. This mechanism underscores the critical role of gut-derived metabolites in regulating testicular function and identifies potential targets for microbiota-modulated male infertility. Video Abstract.
Additional Links: PMID-42010713
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PubMed:
Citation:
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@article {pmid42010713,
year = {2026},
author = {Tang, J and Wang, L and Yang, Z and Song, Y and Wu, S and Liang, Q and Li, Z and Zhou, S and Xiong, H and Chen, D and Li, J and Li, F},
title = {Gut microbiota induces dysspermatogenesis via microbial-derived phenylacetylglycine in Ggt1-deficient mice.},
journal = {Microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40168-026-02401-0},
pmid = {42010713},
issn = {2049-2618},
support = {32272874//National Natural Science Foundation of China/ ; 2021YFF1000601//National Key R&D Program of China/ ; 2662025DKPY008//Fundamental Research Funds for the Central Universities/ ; },
abstract = {BACKGROUND: Male infertility represents a global health concern, with emerging evidence linking gut microbiota dysbiosis to dysspermatogenesis and subfertility. However, the molecular mediators and regulatory mechanisms by which gut microbiota influences testicular functions remain poorly defined.
RESULTS: This study demonstrates that male gamma-glutamyl transferase 1-deletion (Ggt1[-/-]) mice exhibits infertility phenotypes, including reduced germ and testicular Leydig cell numbers, increased rates of abnormal sperm, and altered reproductive hormone levels. Metabolomic analysis reveals elevated levels of the gut microbial-derived metabolite phenylacetylglycine (PAGly) in serum and testes of Ggt1[-/-] mice, with in vivo injection experiments indicating its role in impairing spermatogenesis. Moreover, blocking PAGly effectively restores the impaired spermatogenesis in Ggt1[-/-] mice. Fecal metagenomic and metabolomic analyses show that gut microbiota in Ggt1[-/-] mice induces elevation of phenylacetic acid, a precursor metabolite of PAGly. Strikingly, fecal microbiota transplantation from Ggt1[-/-] mice (Ggt1[-/-]-FMT) recapitulates the infertility phenotypes including reduced germ cells and increased rates of abnormal sperm. Mechanistically, integrated CUT&Tag and ATAC-Seq analyses reveal that transcription factor STAT5B occupies regulatory elements near Klk1b transcription start sites (TSS), confirming that transcription factor STAT5B directly regulates Klk1b gene transcription. Concretely, PAGly activates β2-adrenergic receptor (β2AR) on Leydig cells, triggering STAT3 phosphorylation, subsequent SOCS3 upregulation, and STAT5B phosphorylation suppression; p-STAT5B with transcriptional activation function is reduced, then Klk1b gene transcription is compromised, and therefore spermatogenesis is disrupted.
CONCLUSION: Ggt1 deletion-induced gut microbiota dysbiosis disrupts spermatogenesis via β2AR-STAT3-SOCS3-STAT5B-Klk1bs signaling pathway. Specifically, PAGly-induced β2AR activation promotes STAT3 phosphorylation, which induces SOCS3 to suppress p-STAT5B dependent Klk1bs transcription. This mechanism underscores the critical role of gut-derived metabolites in regulating testicular function and identifies potential targets for microbiota-modulated male infertility. Video Abstract.},
}
RevDate: 2026-04-21
Metagenomic 16S rRNA amplicon and shotgun sequencing in investigation of granulomatous lesions in layer chickens: a case report.
Animal microbiome pii:10.1186/s42523-026-00565-6 [Epub ahead of print].
Additional Links: PMID-42010746
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PubMed:
Citation:
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@article {pmid42010746,
year = {2026},
author = {Yun, CS and Kim, JK and Kwon, H and Her, M and Moon, JS},
title = {Metagenomic 16S rRNA amplicon and shotgun sequencing in investigation of granulomatous lesions in layer chickens: a case report.},
journal = {Animal microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s42523-026-00565-6},
pmid = {42010746},
issn = {2524-4671},
}
RevDate: 2026-04-21
CmpDate: 2026-04-21
Exercise intensity as a modulator of gut microbiota and host metabolic health in obesity.
Gut microbes, 18(1):2661415.
The gut microbiome is shaped by complex interactions among host, environmental, and lifestyle factors, with exercise emerging as a reported modulator. Growing evidence suggests that exercise intensity, ranging from low to high, can differentially influence gut microbial composition, diversity, and functional outputs relevant to metabolic health. This narrative review synthesizes current findings examining intensity-dependent microbial adaptations in the context of obesity. Across animal models (n = 17) and limited human studies (n = 5), moderate-intensity training (MIT) and high-intensity interval training (HIIT) produce the most consistent microbiota shifts, while low-intensity training (LIT) exerts minimal effects. Reported taxa associated with beneficial outcomes consistent across animal and human investigations include Akkermansia (G), and Christensenellaceae (F). Mechanistically, intensity-dependent alterations in microbial communities may influence obesity-related pathways through modulation of short-chain fatty acid (SCFA) and bile acid metabolism, gut barrier integrity, endotoxemia, and inflammatory signaling. HIIT and MIT are linked to improved expression of tight junction proteins (ZO-1, Claudin, Occludin), reducing circulating lipopolysaccharide (LPS), and increasing SCFA-producing taxa; thus, supporting a role for the gut microbiome in mediating exercise-induced metabolic benefits. However, inconsistent findings between species, interindividual variability, and considerable heterogeneity in exercise intervention duration across both animal (4-16 weeks) and human (3-12 weeks) studies, as well as limited longitudinal human studies, underscore the need for deeper mechanistic investigations. Future research should employ metagenomic and metatranscriptomic profiling, integrate sex- and diet-stratified longitudinal designs, and clarify causal links between exercise-responsive taxa, microbial metabolites, and host physiology. Collectively, these data highlight exercise intensity as a key determinant of gut microbiome dynamics and reinforce the need for integrative, translational approaches to define its therapeutic potential for obesity and metabolic disorders.
Additional Links: PMID-42010766
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PubMed:
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@article {pmid42010766,
year = {2026},
author = {Combs, D and Landeros, K and Garza, K and Azari, H and Abdelrahman, M and Albracht-Schulte, K},
title = {Exercise intensity as a modulator of gut microbiota and host metabolic health in obesity.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2661415},
doi = {10.1080/19490976.2026.2661415},
pmid = {42010766},
issn = {1949-0984},
mesh = {*Gastrointestinal Microbiome/physiology ; Humans ; *Obesity/microbiology/metabolism ; Animals ; *Exercise/physiology ; Bacteria/classification/genetics/metabolism/isolation & purification ; Physical Conditioning, Animal ; Fatty Acids, Volatile/metabolism ; },
abstract = {The gut microbiome is shaped by complex interactions among host, environmental, and lifestyle factors, with exercise emerging as a reported modulator. Growing evidence suggests that exercise intensity, ranging from low to high, can differentially influence gut microbial composition, diversity, and functional outputs relevant to metabolic health. This narrative review synthesizes current findings examining intensity-dependent microbial adaptations in the context of obesity. Across animal models (n = 17) and limited human studies (n = 5), moderate-intensity training (MIT) and high-intensity interval training (HIIT) produce the most consistent microbiota shifts, while low-intensity training (LIT) exerts minimal effects. Reported taxa associated with beneficial outcomes consistent across animal and human investigations include Akkermansia (G), and Christensenellaceae (F). Mechanistically, intensity-dependent alterations in microbial communities may influence obesity-related pathways through modulation of short-chain fatty acid (SCFA) and bile acid metabolism, gut barrier integrity, endotoxemia, and inflammatory signaling. HIIT and MIT are linked to improved expression of tight junction proteins (ZO-1, Claudin, Occludin), reducing circulating lipopolysaccharide (LPS), and increasing SCFA-producing taxa; thus, supporting a role for the gut microbiome in mediating exercise-induced metabolic benefits. However, inconsistent findings between species, interindividual variability, and considerable heterogeneity in exercise intervention duration across both animal (4-16 weeks) and human (3-12 weeks) studies, as well as limited longitudinal human studies, underscore the need for deeper mechanistic investigations. Future research should employ metagenomic and metatranscriptomic profiling, integrate sex- and diet-stratified longitudinal designs, and clarify causal links between exercise-responsive taxa, microbial metabolites, and host physiology. Collectively, these data highlight exercise intensity as a key determinant of gut microbiome dynamics and reinforce the need for integrative, translational approaches to define its therapeutic potential for obesity and metabolic disorders.},
}
MeSH Terms:
show MeSH Terms
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*Gastrointestinal Microbiome/physiology
Humans
*Obesity/microbiology/metabolism
Animals
*Exercise/physiology
Bacteria/classification/genetics/metabolism/isolation & purification
Physical Conditioning, Animal
Fatty Acids, Volatile/metabolism
RevDate: 2026-04-21
CmpDate: 2026-04-21
Fatal Non-Hepatic Hyperammonemia Post-Glofitamab: Ureaplasma and Genetic Susceptibility: A Case Report.
Immunity, inflammation and disease, 14(4):e70443.
BACKGROUND: Although primarily reported in solid organ transplant recipients and patients undergoing chimeric antigen receptor T-cell immunotherapy (CAR-T), non-hepatic hyperammonemia (NHHA) is a rare but lethal complication in the broader context of post- chemo-immunotherapy hematologic malignancies. It often presents with unexplained encephalopathy that mimics primary central nervous system (CNS) progression, leading to diagnostic delays. With the expanding use of bispecific antibodies (e.g., glofitamab), the etiology of NHHA, particularly the complex interplay between opportunistic infections and potential metabolic susceptibility, remains poorly understood.
CASE PRESENTATION: We report a fatal case of NHHA in a 58-year-old male with diffuse large B-cell lymphoma (DLBCL) following glofitamab-based chemo-immunotherapy. The patient developed sudden onset altered mental status with extreme hyperammonemia (peak blood ammonia 638.9 µmol/L) despite preserved liver function. Metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid identified Ureaplasma urealyticum. Furthermore, post-mortem whole-exome sequencing (WES) identified a heterozygous variant of SLC25A13 (NM_014251.3:c.2 T > C). As biochemical confirmation of citrin deficiency was not available, the clinical significance of this variant remains uncertain, though it may represent a contributory metabolic susceptibility factor. Despite aggressive ammonia-lowering strategies, including continuous renal replacement therapy (CRRT) and targeted antibiotics, the patient succumbed to fulminant cerebral edema.
CONCLUSION: This case highlights the Ureaplasma urealyticum infection as a critical precipitant of fatal NHHA following glofitamab therapy, occurring in the background of possible genetic metabolic susceptibility (an unverified heterozygous SLC25A13 variant of uncertain functional significance). These findings underscore the critical need for early blood ammonia monitoring and rapid mNGS screening in immunocompromised patients with unexplained encephalopathy. We propose a structured diagnostic algorithm to expedite the recognition and management of this reversible yet life-threatening condition.
Additional Links: PMID-42010993
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PubMed:
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@article {pmid42010993,
year = {2026},
author = {Wu, Y and Guo, X and Wang, X and Guo, F},
title = {Fatal Non-Hepatic Hyperammonemia Post-Glofitamab: Ureaplasma and Genetic Susceptibility: A Case Report.},
journal = {Immunity, inflammation and disease},
volume = {14},
number = {4},
pages = {e70443},
doi = {10.1002/iid3.70443},
pmid = {42010993},
issn = {2050-4527},
mesh = {Humans ; Male ; *Hyperammonemia/etiology/chemically induced/diagnosis ; Middle Aged ; Fatal Outcome ; Genetic Predisposition to Disease ; *Antibodies, Bispecific/adverse effects/therapeutic use ; *Lymphoma, Large B-Cell, Diffuse/drug therapy ; *Ureaplasma Infections/complications ; *Ureaplasma ; },
abstract = {BACKGROUND: Although primarily reported in solid organ transplant recipients and patients undergoing chimeric antigen receptor T-cell immunotherapy (CAR-T), non-hepatic hyperammonemia (NHHA) is a rare but lethal complication in the broader context of post- chemo-immunotherapy hematologic malignancies. It often presents with unexplained encephalopathy that mimics primary central nervous system (CNS) progression, leading to diagnostic delays. With the expanding use of bispecific antibodies (e.g., glofitamab), the etiology of NHHA, particularly the complex interplay between opportunistic infections and potential metabolic susceptibility, remains poorly understood.
CASE PRESENTATION: We report a fatal case of NHHA in a 58-year-old male with diffuse large B-cell lymphoma (DLBCL) following glofitamab-based chemo-immunotherapy. The patient developed sudden onset altered mental status with extreme hyperammonemia (peak blood ammonia 638.9 µmol/L) despite preserved liver function. Metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid identified Ureaplasma urealyticum. Furthermore, post-mortem whole-exome sequencing (WES) identified a heterozygous variant of SLC25A13 (NM_014251.3:c.2 T > C). As biochemical confirmation of citrin deficiency was not available, the clinical significance of this variant remains uncertain, though it may represent a contributory metabolic susceptibility factor. Despite aggressive ammonia-lowering strategies, including continuous renal replacement therapy (CRRT) and targeted antibiotics, the patient succumbed to fulminant cerebral edema.
CONCLUSION: This case highlights the Ureaplasma urealyticum infection as a critical precipitant of fatal NHHA following glofitamab therapy, occurring in the background of possible genetic metabolic susceptibility (an unverified heterozygous SLC25A13 variant of uncertain functional significance). These findings underscore the critical need for early blood ammonia monitoring and rapid mNGS screening in immunocompromised patients with unexplained encephalopathy. We propose a structured diagnostic algorithm to expedite the recognition and management of this reversible yet life-threatening condition.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Male
*Hyperammonemia/etiology/chemically induced/diagnosis
Middle Aged
Fatal Outcome
Genetic Predisposition to Disease
*Antibodies, Bispecific/adverse effects/therapeutic use
*Lymphoma, Large B-Cell, Diffuse/drug therapy
*Ureaplasma Infections/complications
*Ureaplasma
RevDate: 2026-04-21
CmpDate: 2026-04-21
Metagenomic and Phenotypic Insights Into Biofilm-Forming Pathogens in Patients With Nosocomial Sepsis.
BioMed research international, 2026(1):e8989667.
Biofilm-related infections significantly contribute to bacterial diseases, with estimates suggesting that at least 80% of such infections are associated with biofilms. These infections often involve opportunistic pathogens, which not only influence the type of infection but also impact the microenvironment by interacting with other polymicrobial pathogens, thereby altering microbial diversity within the infection site. The present study was designed to assess potential changes in bacterial communities across various infection types. The 50 samples were collected and pooled from different anatomical locations: II-H1 (calf), ul-H2 (thighs), ft-H3 (upper leg), ct-H4 (chest), and Ca-H5 (catheter). The 16S rDNA sequencing was performed on 10 representative samples using the Sanger method to identify bacterial taxa, whereas the metagenomic analysis was conducted on the Illumina MiSeq platform (Illumina, Inc., San Diego, California). Sanger sequencing identifying several bacterial strains including Bacterium MS-AsIII-61, Bacterium HB33-1, Mammaliicoccus sciuri SSB38, multiple Staphylococcus species (S. aureus DA101 and S8, Staphylococcus sp. C0021-01R and TSA25S, S. cohnii FC2265, and S. saprophyticus A), and Enterobacter hormaechei D15. The metagenomics analysis revealed variations and diversity in the different location across the organ by relative abundance of 5 bacterial phyla and 38 species. The Proteobacteria phylum was the most abundant phylum across all sites, with the highest prevalence observed in Ca-H5, followed by ul-H2, ct-H4, II-H1, and ft-H3 in the decreasing order. In contrast, the Bacteroidetes phylum exhibited the highest abundance in ft-H3. Catheter-associated infections (Ca-H5 site) show a homogeneous ARG profile, dominated by genes supporting biofilm formation and persistence. MSA samples reflect diversity in methicillin and multidrug resistance genes, consistent with surgical-site and opportunistic infections. Trypto samples may represent an environmental or experimental condition leading to alternative ARG expression, highlighting site- or condition-specific variations. The different virulence factor responsible for the boost in the establishment of biofilms in these pathogens includes, surface adhesion proteins, increasing resilience to environmental, efflux pumps, quorum-sensing regulators, stresses, and antibiotic treatments. The study demonstrates the dynamic nature and impact of biofilm-related infections at anatomical sites. It also focused on biofilm-associated infections at surgical sites, their progression into chronic conditions, and the corresponding treatment patterns. The integration of metagenomic analysis with phenotypic studies provided deeper insights into the roles of key genes and their mechanisms in biofilm formation.
Additional Links: PMID-42011017
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@article {pmid42011017,
year = {2026},
author = {Sadia, H and Amin, A and Ahmed, I},
title = {Metagenomic and Phenotypic Insights Into Biofilm-Forming Pathogens in Patients With Nosocomial Sepsis.},
journal = {BioMed research international},
volume = {2026},
number = {1},
pages = {e8989667},
pmid = {42011017},
issn = {2314-6141},
mesh = {*Biofilms/growth & development ; Humans ; *Sepsis/microbiology/genetics ; *Cross Infection/microbiology/genetics ; *Metagenomics/methods ; *Bacteria/genetics/classification ; RNA, Ribosomal, 16S/genetics ; Metagenome ; Male ; Female ; Phenotype ; },
abstract = {Biofilm-related infections significantly contribute to bacterial diseases, with estimates suggesting that at least 80% of such infections are associated with biofilms. These infections often involve opportunistic pathogens, which not only influence the type of infection but also impact the microenvironment by interacting with other polymicrobial pathogens, thereby altering microbial diversity within the infection site. The present study was designed to assess potential changes in bacterial communities across various infection types. The 50 samples were collected and pooled from different anatomical locations: II-H1 (calf), ul-H2 (thighs), ft-H3 (upper leg), ct-H4 (chest), and Ca-H5 (catheter). The 16S rDNA sequencing was performed on 10 representative samples using the Sanger method to identify bacterial taxa, whereas the metagenomic analysis was conducted on the Illumina MiSeq platform (Illumina, Inc., San Diego, California). Sanger sequencing identifying several bacterial strains including Bacterium MS-AsIII-61, Bacterium HB33-1, Mammaliicoccus sciuri SSB38, multiple Staphylococcus species (S. aureus DA101 and S8, Staphylococcus sp. C0021-01R and TSA25S, S. cohnii FC2265, and S. saprophyticus A), and Enterobacter hormaechei D15. The metagenomics analysis revealed variations and diversity in the different location across the organ by relative abundance of 5 bacterial phyla and 38 species. The Proteobacteria phylum was the most abundant phylum across all sites, with the highest prevalence observed in Ca-H5, followed by ul-H2, ct-H4, II-H1, and ft-H3 in the decreasing order. In contrast, the Bacteroidetes phylum exhibited the highest abundance in ft-H3. Catheter-associated infections (Ca-H5 site) show a homogeneous ARG profile, dominated by genes supporting biofilm formation and persistence. MSA samples reflect diversity in methicillin and multidrug resistance genes, consistent with surgical-site and opportunistic infections. Trypto samples may represent an environmental or experimental condition leading to alternative ARG expression, highlighting site- or condition-specific variations. The different virulence factor responsible for the boost in the establishment of biofilms in these pathogens includes, surface adhesion proteins, increasing resilience to environmental, efflux pumps, quorum-sensing regulators, stresses, and antibiotic treatments. The study demonstrates the dynamic nature and impact of biofilm-related infections at anatomical sites. It also focused on biofilm-associated infections at surgical sites, their progression into chronic conditions, and the corresponding treatment patterns. The integration of metagenomic analysis with phenotypic studies provided deeper insights into the roles of key genes and their mechanisms in biofilm formation.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Biofilms/growth & development
Humans
*Sepsis/microbiology/genetics
*Cross Infection/microbiology/genetics
*Metagenomics/methods
*Bacteria/genetics/classification
RNA, Ribosomal, 16S/genetics
Metagenome
Male
Female
Phenotype
RevDate: 2026-04-21
CmpDate: 2026-04-21
Prosthetic Joint Infection Caused by Staphylococcus argenteus: mNGS-Guided Diagnosis and Whole-Genome Characterization of an ST2250 Strain.
Infection and drug resistance, 19:594406.
BACKGROUND: Staphylococcus argenteus, a member of the Staphylococcus aureus complex, has increasingly been recognized as a human pathogen but is frequently misidentified as S. aureus in routine clinical laboratories. Reports of prosthetic joint infection (PJI) caused by this species remain rare.
METHODS: We describe a case of delayed-onset PJI in a 71-year-old woman following total knee arthroplasty. Repeated conventional cultures were negative after empirical vancomycin therapy. Metagenomic next-generation sequencing (mNGS) of wound exudate detected S. argenteus, which guided extended culture and subsequent isolation of low-abundance colonies. Species identification was confirmed by whole-genome sequencing (WGS), multilocus sequence typing (MLST), and reinterpretation of MALDI-TOF MS results. Antimicrobial susceptibility testing (AST) was performed and compared with WGS-based resistance prediction. Phylogenetic analysis was conducted using 452 publicly available S. argenteus genomes.
AIM: This study aimed to describe the clinical diagnosis, microbiological identification, and genomic characterization of a Staphylococcus argenteus strain causing prosthetic joint infection.
RESULTS: The isolate was identified as sequence type ST2250 and lacked the staphyloxanthin operon, consistent with the non-pigmented phenotype. WGS and phenotypic AST showed 100% concordance across 11 clinically relevant antibiotics. Phylogenomic analysis revealed that the strain clustered closely with Southeast Asian lineages. Following targeted therapy with intravenous vancomycin and surgical wound management, the patient showed rapid clinical improvement with resolution of local inflammation and complete wound healing.
CONCLUSION: This is the first confirmed case of S. argenteus PJI in Suzhou, China. The case highlights the diagnostic value of mNGS in culture-negative PJI, the importance of molecular tools for correctly differentiating S. argenteus from S. aureus, and the potential of WGS to support resistance prediction for rare staphylococcal pathogens.
Additional Links: PMID-42011181
PubMed:
Citation:
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@article {pmid42011181,
year = {2026},
author = {Li, Z and Zhang, Y and Xu, H and Wang, D and Yuan, L and Su, N and Lu, H and Li, W},
title = {Prosthetic Joint Infection Caused by Staphylococcus argenteus: mNGS-Guided Diagnosis and Whole-Genome Characterization of an ST2250 Strain.},
journal = {Infection and drug resistance},
volume = {19},
number = {},
pages = {594406},
pmid = {42011181},
issn = {1178-6973},
abstract = {BACKGROUND: Staphylococcus argenteus, a member of the Staphylococcus aureus complex, has increasingly been recognized as a human pathogen but is frequently misidentified as S. aureus in routine clinical laboratories. Reports of prosthetic joint infection (PJI) caused by this species remain rare.
METHODS: We describe a case of delayed-onset PJI in a 71-year-old woman following total knee arthroplasty. Repeated conventional cultures were negative after empirical vancomycin therapy. Metagenomic next-generation sequencing (mNGS) of wound exudate detected S. argenteus, which guided extended culture and subsequent isolation of low-abundance colonies. Species identification was confirmed by whole-genome sequencing (WGS), multilocus sequence typing (MLST), and reinterpretation of MALDI-TOF MS results. Antimicrobial susceptibility testing (AST) was performed and compared with WGS-based resistance prediction. Phylogenetic analysis was conducted using 452 publicly available S. argenteus genomes.
AIM: This study aimed to describe the clinical diagnosis, microbiological identification, and genomic characterization of a Staphylococcus argenteus strain causing prosthetic joint infection.
RESULTS: The isolate was identified as sequence type ST2250 and lacked the staphyloxanthin operon, consistent with the non-pigmented phenotype. WGS and phenotypic AST showed 100% concordance across 11 clinically relevant antibiotics. Phylogenomic analysis revealed that the strain clustered closely with Southeast Asian lineages. Following targeted therapy with intravenous vancomycin and surgical wound management, the patient showed rapid clinical improvement with resolution of local inflammation and complete wound healing.
CONCLUSION: This is the first confirmed case of S. argenteus PJI in Suzhou, China. The case highlights the diagnostic value of mNGS in culture-negative PJI, the importance of molecular tools for correctly differentiating S. argenteus from S. aureus, and the potential of WGS to support resistance prediction for rare staphylococcal pathogens.},
}
RevDate: 2026-04-21
CmpDate: 2026-04-21
Comparison of gut viromes across captive mammals reveals extensive genetic diversity in bacteriophage dark matter and mammalian viruses.
Zoological research, 47(2):606-620.
Comprehensive characterization of mammalian gut viromes is essential for early detection of commensal and potentially zoonotic viruses and for reducing the risk of cross-species transmission. Viral metagenomics was applied to profile gut viral communities from zoo mammals maintained across multiple zoological institutions in China. Viral communities differed markedly among host dietary guilds, with herbivores exhibiting the highest viral species diversity. In total, 1 027 viral sequences representing five major viral groups were recovered, including multiple mammal-associated astroviruses, picornaviruses, and parvoviruses with potential infectivity. Phylogenetic reconstruction based on viral hallmark genes demonstrated extensive genomic diversification across recovered lineages. Hosts for most microviruses were predicted to belong to the bacterial family Bacteroidaceae. In addition, 10 previously unreported crAss-like phages were identified in mammalian samples and showed close evolutionary relationships with proposed crAssphages from the human gut virome. Antibiotic resistance genes identified in the mammalian gut viromes primarily belonged to tetracyclines. These findings substantially expand current understanding of viral community structure in captive animals in China and provide a foundation for proactive surveillance frameworks targeting emerging mammalian viruses with zoonotic potential.
Additional Links: PMID-42011762
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PubMed:
Citation:
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@article {pmid42011762,
year = {2026},
author = {Lu, J and Wang, HN and Wang, CM and Xu, J and Ikechukwu, CK and Li, W and Ning, SY and Wu, P and Liu, YW and Shen, Q and Ji, LK and Wang, XC and Yang, SX and Zhou, CL and Wang, XL and Zhang, W and Shan, TL},
title = {Comparison of gut viromes across captive mammals reveals extensive genetic diversity in bacteriophage dark matter and mammalian viruses.},
journal = {Zoological research},
volume = {47},
number = {2},
pages = {606-620},
doi = {10.24272/j.issn.2095-8137.2025.134},
pmid = {42011762},
issn = {2095-8137},
mesh = {Animals ; *Mammals/virology ; *Animals, Zoo/virology ; *Bacteriophages/genetics ; *Genetic Variation ; *Virome/genetics ; Phylogeny ; *Viruses/genetics/classification ; *Gastrointestinal Microbiome ; },
abstract = {Comprehensive characterization of mammalian gut viromes is essential for early detection of commensal and potentially zoonotic viruses and for reducing the risk of cross-species transmission. Viral metagenomics was applied to profile gut viral communities from zoo mammals maintained across multiple zoological institutions in China. Viral communities differed markedly among host dietary guilds, with herbivores exhibiting the highest viral species diversity. In total, 1 027 viral sequences representing five major viral groups were recovered, including multiple mammal-associated astroviruses, picornaviruses, and parvoviruses with potential infectivity. Phylogenetic reconstruction based on viral hallmark genes demonstrated extensive genomic diversification across recovered lineages. Hosts for most microviruses were predicted to belong to the bacterial family Bacteroidaceae. In addition, 10 previously unreported crAss-like phages were identified in mammalian samples and showed close evolutionary relationships with proposed crAssphages from the human gut virome. Antibiotic resistance genes identified in the mammalian gut viromes primarily belonged to tetracyclines. These findings substantially expand current understanding of viral community structure in captive animals in China and provide a foundation for proactive surveillance frameworks targeting emerging mammalian viruses with zoonotic potential.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Mammals/virology
*Animals, Zoo/virology
*Bacteriophages/genetics
*Genetic Variation
*Virome/genetics
Phylogeny
*Viruses/genetics/classification
*Gastrointestinal Microbiome
RevDate: 2026-04-21
CmpDate: 2026-04-21
Intratumoral fungal burden of Candida tropicalis as a novel prognostic biomarker for recurrence and mortality in colorectal cancer.
Cancer, 132(8):e70408.
BACKGROUND: The crucial role of gut fungus dysbiosis in the carcinogenesis and progression of colorectal cancer (CRC) has recently garnered increasing attention. In this study, the potential role of Candida tropicalis, commensal gut fungi, in predicting CRC prognosis was investigated.
METHODS: A total of 304 frozen surgical cancer tissue specimens were obtained from patients with CRC and evaluated the intratumoral C. tropicalis burden using quantitative polymerase chain reaction assays. Mycobial composition and diversity analyses were performed by analyzing publicly available metagenomic datasets.
RESULTS: Metagenomic dataset analysis revealed significant differences in fungal composition and diversity of Candida species among adjacent normal and CRC tissues. The 5-year recurrence-free survival and disease-specific survival rates were significantly worse in patients with a high intratumoral C. tropicalis burden than in those with a low burden (78.0% vs. 86.6%; p = .03 and 88.9% vs. 98.0%; p < .01, respectively). Furthermore, multivariate Cox regression analysis revealed that increased intratumoral C. tropicalis burden was a significant independent predictor for recurrence-free survival (hazard ratio [HR]: 1.92; 95% CI, 1.08-3.44; p = .03) and disease-specific survival (HR: 4.29; 95% CI, 1.36-13.5; p = .03).
CONCLUSIONS: These results have demonstrated, possibly for the first time, the potential of intratumoral C. tropicalis burden as a novel prognostic biomarker for recurrence and mortality in patients with CRC.
Additional Links: PMID-42011768
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PubMed:
Citation:
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@article {pmid42011768,
year = {2026},
author = {Oba, S and Okuno, K and Watanabe, S and Yamamoto, Y and Takaoka, A and Hanaoka, M and Yamauchi, S and Kagawa, H and Tokunaga, M and Ban, D and Kinugasa, Y},
title = {Intratumoral fungal burden of Candida tropicalis as a novel prognostic biomarker for recurrence and mortality in colorectal cancer.},
journal = {Cancer},
volume = {132},
number = {8},
pages = {e70408},
doi = {10.1002/cncr.70408},
pmid = {42011768},
issn = {1097-0142},
support = {JP23K19499//Japan Society for the Promotion of Science/ ; JP24K18571//Japan Society for the Promotion of Science/ ; 2023DI008//Kobayashi Foundation for Cancer Research/ ; },
mesh = {Humans ; *Candida tropicalis/isolation & purification/genetics ; Female ; Male ; *Colorectal Neoplasms/microbiology/mortality/pathology ; Prognosis ; Middle Aged ; *Neoplasm Recurrence, Local/microbiology/pathology/mortality ; Aged ; Biomarkers, Tumor ; Adult ; Disease-Free Survival ; },
abstract = {BACKGROUND: The crucial role of gut fungus dysbiosis in the carcinogenesis and progression of colorectal cancer (CRC) has recently garnered increasing attention. In this study, the potential role of Candida tropicalis, commensal gut fungi, in predicting CRC prognosis was investigated.
METHODS: A total of 304 frozen surgical cancer tissue specimens were obtained from patients with CRC and evaluated the intratumoral C. tropicalis burden using quantitative polymerase chain reaction assays. Mycobial composition and diversity analyses were performed by analyzing publicly available metagenomic datasets.
RESULTS: Metagenomic dataset analysis revealed significant differences in fungal composition and diversity of Candida species among adjacent normal and CRC tissues. The 5-year recurrence-free survival and disease-specific survival rates were significantly worse in patients with a high intratumoral C. tropicalis burden than in those with a low burden (78.0% vs. 86.6%; p = .03 and 88.9% vs. 98.0%; p < .01, respectively). Furthermore, multivariate Cox regression analysis revealed that increased intratumoral C. tropicalis burden was a significant independent predictor for recurrence-free survival (hazard ratio [HR]: 1.92; 95% CI, 1.08-3.44; p = .03) and disease-specific survival (HR: 4.29; 95% CI, 1.36-13.5; p = .03).
CONCLUSIONS: These results have demonstrated, possibly for the first time, the potential of intratumoral C. tropicalis burden as a novel prognostic biomarker for recurrence and mortality in patients with CRC.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Candida tropicalis/isolation & purification/genetics
Female
Male
*Colorectal Neoplasms/microbiology/mortality/pathology
Prognosis
Middle Aged
*Neoplasm Recurrence, Local/microbiology/pathology/mortality
Aged
Biomarkers, Tumor
Adult
Disease-Free Survival
RevDate: 2026-04-21
Multi-Omics Analysis Reveals Coordinated Adaptations in Genes, Metabolism, and Gut Microbiota Underpinning Herbivory in Lordiphosa Flies.
Integrative zoology [Epub ahead of print].
Herbivorous insects are among the most ecologically successful animal groups. However, the adaptive mechanisms that allow them to exploit plant hosts, which are often nutrient-poor (low in simple sugars, high in structural carbohydrates) and defended by toxic secondary metabolites, are not fully resolved. Here, we investigated the evolutionary basis of herbivory in Lordiphosa clarofinis, a drosophilid species feeding on living plant tissues, using multi-omics approaches. Behavioral experiments revealed a strong oviposition preference for Galinsoga parviflora (a host rich in secondary metabolites), accompanied by elevated expression of chemosensory genes linked to host discrimination. Comparative genomic analyses revealed lineage-specific expansions of gene families associated with detoxification (e.g., cytochrome P450s) and carbohydrate metabolism, alongside positive selection on genes involved in fatty acid utilization and glycogen synthesis. Transcriptomic data showed differential expression of energy metabolism pathways in response to low-sugar plant diets, with upregulation of genes linked to lipid oxidation and gluconeogenesis. Metagenomic profiling of gut microbiota identified key taxa (e.g., Bacteroidetes) capable of degrading plant polysaccharides and synthesizing essential vitamins, potentially complementing host nutritional intake. Our results demonstrate that herbivory in L. clarofinis is associated with coordinated genomic, transcriptional, and microbial changes, rather than being attributable to a single adaptive mechanism. This study highlights how multi-level biological features covary with plant-based feeding and provides a framework for investigating the complex evolutionary and ecological correlates of herbivory in insects.
Additional Links: PMID-42012066
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PubMed:
Citation:
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@article {pmid42012066,
year = {2026},
author = {Guo, R and Gao, J and Zhang, C and Chang, Z and Sun, Y},
title = {Multi-Omics Analysis Reveals Coordinated Adaptations in Genes, Metabolism, and Gut Microbiota Underpinning Herbivory in Lordiphosa Flies.},
journal = {Integrative zoology},
volume = {},
number = {},
pages = {},
doi = {10.1111/1749-4877.70110},
pmid = {42012066},
issn = {1749-4877},
support = {202401BC070011//Yunnan Fundamental Research Projects/ ; 32060112//Natural Science Foundation of China/ ; },
abstract = {Herbivorous insects are among the most ecologically successful animal groups. However, the adaptive mechanisms that allow them to exploit plant hosts, which are often nutrient-poor (low in simple sugars, high in structural carbohydrates) and defended by toxic secondary metabolites, are not fully resolved. Here, we investigated the evolutionary basis of herbivory in Lordiphosa clarofinis, a drosophilid species feeding on living plant tissues, using multi-omics approaches. Behavioral experiments revealed a strong oviposition preference for Galinsoga parviflora (a host rich in secondary metabolites), accompanied by elevated expression of chemosensory genes linked to host discrimination. Comparative genomic analyses revealed lineage-specific expansions of gene families associated with detoxification (e.g., cytochrome P450s) and carbohydrate metabolism, alongside positive selection on genes involved in fatty acid utilization and glycogen synthesis. Transcriptomic data showed differential expression of energy metabolism pathways in response to low-sugar plant diets, with upregulation of genes linked to lipid oxidation and gluconeogenesis. Metagenomic profiling of gut microbiota identified key taxa (e.g., Bacteroidetes) capable of degrading plant polysaccharides and synthesizing essential vitamins, potentially complementing host nutritional intake. Our results demonstrate that herbivory in L. clarofinis is associated with coordinated genomic, transcriptional, and microbial changes, rather than being attributable to a single adaptive mechanism. This study highlights how multi-level biological features covary with plant-based feeding and provides a framework for investigating the complex evolutionary and ecological correlates of herbivory in insects.},
}
RevDate: 2026-04-21
Navigating prokaryotic viral genome analysis from metagenomic data.
mSystems [Epub ahead of print].
Viruses play crucial roles in microbial ecosystems, yet viromic analysis remains challenging due to the field's complexity and rapid evolution. This minireview supports non-specialists through the evolving landscape of viromics, focusing on the analysis of bacterial and archaeal DNA viruses from metagenomic data. We address major challenges, including viral diversity, methodological biases, and the overwhelming array of available tools and pipelines. While describing a typical viromic workflow, we provide users with background information for each of the steps from data acquisition, preprocessing, and quality control to viral characterization and common downstream analyses. The included references and resources will provide users with the information needed to confidently start their own virome analysis.
Additional Links: PMID-42012165
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PubMed:
Citation:
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@article {pmid42012165,
year = {2026},
author = {Werner, A and Chibani, CM and Schmitz, RA},
title = {Navigating prokaryotic viral genome analysis from metagenomic data.},
journal = {mSystems},
volume = {},
number = {},
pages = {e0124925},
doi = {10.1128/msystems.01249-25},
pmid = {42012165},
issn = {2379-5077},
abstract = {Viruses play crucial roles in microbial ecosystems, yet viromic analysis remains challenging due to the field's complexity and rapid evolution. This minireview supports non-specialists through the evolving landscape of viromics, focusing on the analysis of bacterial and archaeal DNA viruses from metagenomic data. We address major challenges, including viral diversity, methodological biases, and the overwhelming array of available tools and pipelines. While describing a typical viromic workflow, we provide users with background information for each of the steps from data acquisition, preprocessing, and quality control to viral characterization and common downstream analyses. The included references and resources will provide users with the information needed to confidently start their own virome analysis.},
}
RevDate: 2026-04-21
Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.
Microbiology spectrum [Epub ahead of print].
Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative cultures can lead to inappropriate antimicrobial use or urosepsis in high-risk patients. Next-generation sequencing (NGS)-based metagenomics offers a comprehensive and precise alternative but is rarely applied clinically. We developed and validated BIOTIA-ID, a clinical-grade NGS-based diagnostic pipeline for pathogen detection in urine. Remnant clinical and spiked urine samples underwent extraction, metagenomic library preparation, and Illumina NextSeq 550 sequencing. We trained and applied a bioinformatic pipeline that uses machine learning to identify pathogens and resistance markers. BIOTIA-DX was intentionally designed and trained to increase stringency and reduce false positive detection of urogenital commensals or opportunistic microbes present at colonization levels. Internal controls ensured standardized, high-stringency results. The assay was validated on 1,470 urine specimens evaluating over 14.5k analytes. The clinical validation achieved a 97.2% sensitivity and 99.6% specificity with a limit of detection (LoD) of <15,000 CFU/mL for most bacterial species and <5,000 CFU/mL for fungal species. Discordant results were reconciled by target-specific qPCR or 16S Sanger sequencing, and 87% of the NGS results were concordant with the comparator. A subset of 332 clinical specimens was tested and validated for antimicrobial resistance (AMR). sul and blaSHV genes were commonly associated with Escherichia coli and Klebsiella pneumoniae, while cfxA was found in Prevotella and Pseudomonas spp. detected by BIOTIA-ID. Overall, these data demonstrate that BIOTIA-ID is a comprehensive, highly accurate end-to-end diagnostic assay with notable advantages over current culture-based diagnostics.IMPORTANCEUrinary tract infections (UTIs) are among the most common infections, yet current diagnostic methods, including urine culture, often fail to detect pathogens accurately, leading to delayed treatment and inappropriate antimicrobial use. Clinical metagenomics offers a powerful alternative, especially in complicated cases. BIOTIA-ID is a validated, clinical-grade next-generation sequencing (NGS)-based assay that provides highly accurate pathogen identification and antimicrobial resistance profiling. By incorporating machine learning and stringent quality controls, BIOTIA-ID minimizes false positives and enhances diagnostic precision. Our study demonstrates its superior performance over culture, with potential to improve UTI diagnostics, guide targeted therapy, and support antimicrobial stewardship. The implementation of urine metagenomic diagnostics could support recurrent and complicated UTI patient management, providing a more reliable alternative to traditional methods.
Additional Links: PMID-42012213
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PubMed:
Citation:
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@article {pmid42012213,
year = {2026},
author = {Couto-Rodriguez, M and Danko, DC and Wells, HL and Rey, S and Jirau Serrano, X and Fidler, G and Papciak, J and Combs, PF and Plourde, A and Augenbraun, M and Mason, CE and Otto, C and O'Hara, NB and Nagy-Szakal, D},
title = {Analytical validation of a highly accurate and reliable next-generation sequencing-based urine assay.},
journal = {Microbiology spectrum},
volume = {},
number = {},
pages = {e0202625},
doi = {10.1128/spectrum.02026-25},
pmid = {42012213},
issn = {2165-0497},
abstract = {Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative cultures can lead to inappropriate antimicrobial use or urosepsis in high-risk patients. Next-generation sequencing (NGS)-based metagenomics offers a comprehensive and precise alternative but is rarely applied clinically. We developed and validated BIOTIA-ID, a clinical-grade NGS-based diagnostic pipeline for pathogen detection in urine. Remnant clinical and spiked urine samples underwent extraction, metagenomic library preparation, and Illumina NextSeq 550 sequencing. We trained and applied a bioinformatic pipeline that uses machine learning to identify pathogens and resistance markers. BIOTIA-DX was intentionally designed and trained to increase stringency and reduce false positive detection of urogenital commensals or opportunistic microbes present at colonization levels. Internal controls ensured standardized, high-stringency results. The assay was validated on 1,470 urine specimens evaluating over 14.5k analytes. The clinical validation achieved a 97.2% sensitivity and 99.6% specificity with a limit of detection (LoD) of <15,000 CFU/mL for most bacterial species and <5,000 CFU/mL for fungal species. Discordant results were reconciled by target-specific qPCR or 16S Sanger sequencing, and 87% of the NGS results were concordant with the comparator. A subset of 332 clinical specimens was tested and validated for antimicrobial resistance (AMR). sul and blaSHV genes were commonly associated with Escherichia coli and Klebsiella pneumoniae, while cfxA was found in Prevotella and Pseudomonas spp. detected by BIOTIA-ID. Overall, these data demonstrate that BIOTIA-ID is a comprehensive, highly accurate end-to-end diagnostic assay with notable advantages over current culture-based diagnostics.IMPORTANCEUrinary tract infections (UTIs) are among the most common infections, yet current diagnostic methods, including urine culture, often fail to detect pathogens accurately, leading to delayed treatment and inappropriate antimicrobial use. Clinical metagenomics offers a powerful alternative, especially in complicated cases. BIOTIA-ID is a validated, clinical-grade next-generation sequencing (NGS)-based assay that provides highly accurate pathogen identification and antimicrobial resistance profiling. By incorporating machine learning and stringent quality controls, BIOTIA-ID minimizes false positives and enhances diagnostic precision. Our study demonstrates its superior performance over culture, with potential to improve UTI diagnostics, guide targeted therapy, and support antimicrobial stewardship. The implementation of urine metagenomic diagnostics could support recurrent and complicated UTI patient management, providing a more reliable alternative to traditional methods.},
}
RevDate: 2026-04-21
Correction to: Metagenomic Insights into Viral Diversity from an Underexplored Khazan Creek and a Tropical Freshwater Lake.
Current microbiology, 83(6): pii:10.1007/s00284-026-04870-w.
Additional Links: PMID-42012671
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PubMed:
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@article {pmid42012671,
year = {2026},
author = {Noronha, JM and Hudson, SB and Sharma, G and Ghadi, SC},
title = {Correction to: Metagenomic Insights into Viral Diversity from an Underexplored Khazan Creek and a Tropical Freshwater Lake.},
journal = {Current microbiology},
volume = {83},
number = {6},
pages = {},
doi = {10.1007/s00284-026-04870-w},
pmid = {42012671},
issn = {1432-0991},
}
RevDate: 2026-04-21
Human Gut Microbiome Can Degrade the Sweetener Acesulfame K with Potential Damaging Effects in the Intestinal Barrier Function.
Journal of agricultural and food chemistry [Epub ahead of print].
Acesulfame K (Ace-K) is a commonly consumed sweetener, although knowledge about the Ace-K-gut microbiota interaction remains limited. This study evaluates dose-dependent effects of Ace-K on metataxonomics, metagenomics, and metabolic activity of children gut microbiota developed in a dynamic gut simulator. An Ace-K-dose dependent increase in Anaerostipes, Coprococcus, Subdoligranulum, Blautia, Sutterella wadsworthensis, Alistipes, and Bacteroides thetaiotaomicron was observed. Butyrate showed a dose-response increase that correlated with Ace-K consumption, suggesting its microbial metabolism. Increasing bacterial taxa showed sulfatase and amidase activities potentially capable of degrading Ace-K, releasing sulfamate and acetoacetate, which species such as Anaerostipes hadrus and Intestinimonas can metabolize to produce butyrate via the butanoyl-CoA pathway. Furthermore, the Ace-K-microbiome interaction led to a dose-dependent decrease in Caco-2 epithelial integrity, possibly due to the release of sulfated metabolites. This study provides evidence of the potential risk of Ace-K consumption based on its metabolism by the human gut microbiome.
Additional Links: PMID-42012901
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PubMed:
Citation:
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@article {pmid42012901,
year = {2026},
author = {Bellanco, A and Yépez-Notario, C and Lozano, M and Martínez-Cuesta, MC and Requena, T},
title = {Human Gut Microbiome Can Degrade the Sweetener Acesulfame K with Potential Damaging Effects in the Intestinal Barrier Function.},
journal = {Journal of agricultural and food chemistry},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.jafc.5c16498},
pmid = {42012901},
issn = {1520-5118},
abstract = {Acesulfame K (Ace-K) is a commonly consumed sweetener, although knowledge about the Ace-K-gut microbiota interaction remains limited. This study evaluates dose-dependent effects of Ace-K on metataxonomics, metagenomics, and metabolic activity of children gut microbiota developed in a dynamic gut simulator. An Ace-K-dose dependent increase in Anaerostipes, Coprococcus, Subdoligranulum, Blautia, Sutterella wadsworthensis, Alistipes, and Bacteroides thetaiotaomicron was observed. Butyrate showed a dose-response increase that correlated with Ace-K consumption, suggesting its microbial metabolism. Increasing bacterial taxa showed sulfatase and amidase activities potentially capable of degrading Ace-K, releasing sulfamate and acetoacetate, which species such as Anaerostipes hadrus and Intestinimonas can metabolize to produce butyrate via the butanoyl-CoA pathway. Furthermore, the Ace-K-microbiome interaction led to a dose-dependent decrease in Caco-2 epithelial integrity, possibly due to the release of sulfated metabolites. This study provides evidence of the potential risk of Ace-K consumption based on its metabolism by the human gut microbiome.},
}
RevDate: 2026-04-21
An infant nasal microbial gene atlas uncovers intervention-driven microbiome shifts and salt-resistant pathogen expansion.
Cell host & microbe pii:S1931-3128(26)00127-7 [Epub ahead of print].
Functional studies of how early-life interventions shape the airway microbiome remain scarce. Here, we performed metagenomic sequencing of 704 longitudinal nasal swabs from infants with and without cystic fibrosis (CF) to construct and characterize a non-redundant gene atlas of the infant nasal microbiome. We aimed to determine how the nasal microbiome is perturbed by early therapies, as CF is commonly treated with inhaled hypertonic saline to improve mucociliary clearance. We found functional and compositional microbiome changes linked to inhalation therapy, including an expansion of salt-associated transporter genes and a community shift toward CF-associated microbial opportunists, including Haemophilus influenzae and fungi, carrying the identified salt-associated transporter genes with high sequence and structural identity. Hypertonic, compared with isotonic, saline accelerates H. influenzae growth and induces efflux pumps linked to antibiotic tolerance in vitro. This study establishes a reference framework for functional airway microbiome research, enabling the examination of therapeutic perturbations and their impact on microbial adaptation.
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@article {pmid42013836,
year = {2026},
author = {Steinberg, R and Pust, MM and Arias-Rojas, A and Pishchany, G and Ramsey, KA and Kieninger, E and Moeller, A and Casaulta, C and Hilty, M and Latzin, P and , and , and Korten, I and Xavier, RJ},
title = {An infant nasal microbial gene atlas uncovers intervention-driven microbiome shifts and salt-resistant pathogen expansion.},
journal = {Cell host & microbe},
volume = {},
number = {},
pages = {},
doi = {10.1016/j.chom.2026.03.019},
pmid = {42013836},
issn = {1934-6069},
abstract = {Functional studies of how early-life interventions shape the airway microbiome remain scarce. Here, we performed metagenomic sequencing of 704 longitudinal nasal swabs from infants with and without cystic fibrosis (CF) to construct and characterize a non-redundant gene atlas of the infant nasal microbiome. We aimed to determine how the nasal microbiome is perturbed by early therapies, as CF is commonly treated with inhaled hypertonic saline to improve mucociliary clearance. We found functional and compositional microbiome changes linked to inhalation therapy, including an expansion of salt-associated transporter genes and a community shift toward CF-associated microbial opportunists, including Haemophilus influenzae and fungi, carrying the identified salt-associated transporter genes with high sequence and structural identity. Hypertonic, compared with isotonic, saline accelerates H. influenzae growth and induces efflux pumps linked to antibiotic tolerance in vitro. This study establishes a reference framework for functional airway microbiome research, enabling the examination of therapeutic perturbations and their impact on microbial adaptation.},
}
RevDate: 2026-04-21
Metabolic reprogramming of the infant gut by bifidobacteria-based probiotics drives exclusion of antibiotic-resistant pathobionts.
Cell reports. Medicine pii:S2666-3791(26)00169-2 [Epub ahead of print].
Early-life probiotics that strengthen gut resilience in infants are a promising strategy to combat the global emergency of antibiotic resistance. Still, their effects on antibiotic-resistant opportunistic pathogens, i.e., pathobionts, remain unclear. We evaluate the effects of probiotic supplementation in 152 full-term Tanzanian infants enrolled in the ProRIDE trial. Oral probiotics during the first 4 weeks of life increase gut colonization by Bifidobacterium species, while suppressing pathobionts, including extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E). Integrated metagenomics and metabolomics show that probiotics reduce resistome load and mobilome richness at 6 weeks, accompanied by concurrent shifts in the fecal metabolome. Specifically, the intervention increases lactate and pyruvate and reduces cross-feeding pathways that lead to propionate and butyrate, which partly explains the reduction in ESBL-E carriage. Our study documents putative pathways by which probiotic-driven Bifidobacterium colonization modulates the infant gut toward a lower level of antibiotic resistance.
Additional Links: PMID-42013844
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@article {pmid42013844,
year = {2026},
author = {Bargheet, A and Bø, GH and Hetland, MAK and Justine, M and Moyo, SJ and Löhr, IH and Blomberg, B and Langeland, N and Klingenberg, C and Pettersen, VK},
title = {Metabolic reprogramming of the infant gut by bifidobacteria-based probiotics drives exclusion of antibiotic-resistant pathobionts.},
journal = {Cell reports. Medicine},
volume = {},
number = {},
pages = {102752},
doi = {10.1016/j.xcrm.2026.102752},
pmid = {42013844},
issn = {2666-3791},
abstract = {Early-life probiotics that strengthen gut resilience in infants are a promising strategy to combat the global emergency of antibiotic resistance. Still, their effects on antibiotic-resistant opportunistic pathogens, i.e., pathobionts, remain unclear. We evaluate the effects of probiotic supplementation in 152 full-term Tanzanian infants enrolled in the ProRIDE trial. Oral probiotics during the first 4 weeks of life increase gut colonization by Bifidobacterium species, while suppressing pathobionts, including extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E). Integrated metagenomics and metabolomics show that probiotics reduce resistome load and mobilome richness at 6 weeks, accompanied by concurrent shifts in the fecal metabolome. Specifically, the intervention increases lactate and pyruvate and reduces cross-feeding pathways that lead to propionate and butyrate, which partly explains the reduction in ESBL-E carriage. Our study documents putative pathways by which probiotic-driven Bifidobacterium colonization modulates the infant gut toward a lower level of antibiotic resistance.},
}
RevDate: 2026-04-21
Distinct signatures in the human gut and oral microbiomes of gastric cancer.
Cell reports. Medicine pii:S2666-3791(26)00178-3 [Epub ahead of print].
Microbiome dysbiosis is increasingly recognized as a hallmark of gastric cancer (GC). Here, we analyzed gut and oral shotgun metagenomic data from 317 individuals across two independent cohorts, with validation in a Harbin cohort. We identify 20 oral-gut shared species enriched in the gut of GC, predominantly lactic acid bacteria (LAB). While most gut microbial markers are abundant in saliva, none are significantly altered in GC. Strain-level analysis of 87 matched saliva-stool metagenomes confirms oral-gut transmission of Streptococcus species. GC-enriched LAB form robust co-abundance networks in oral and gut microbiomes, suggesting synergistic interactions. Functional analysis reveals enriched lactate fermentation pathways in GC stool, aligning with LAB dominance and previous findings on gastric microbiota. Moreover, microbiome-based classifiers achieve high predictive accuracy (area under receiver operating characteristic curve [AUROC] = 0.85 for stool, 0.87 for saliva) for GC diagnosis, highlighting translational potential. Collectively, these findings underscore the critical role of the oral-gut microbiome axis in GC.
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@article {pmid42013850,
year = {2026},
author = {Qin, Y and Zhang, YX and Liu, LP and Xie, YH and Ma, XY and Hao, Y and Zhao, LC and Dong, JJ and He, Y and Sun, K and Zhong, H and Zhu, S and Liu, M and Fang, JY and Zhou, CB},
title = {Distinct signatures in the human gut and oral microbiomes of gastric cancer.},
journal = {Cell reports. Medicine},
volume = {},
number = {},
pages = {102761},
doi = {10.1016/j.xcrm.2026.102761},
pmid = {42013850},
issn = {2666-3791},
abstract = {Microbiome dysbiosis is increasingly recognized as a hallmark of gastric cancer (GC). Here, we analyzed gut and oral shotgun metagenomic data from 317 individuals across two independent cohorts, with validation in a Harbin cohort. We identify 20 oral-gut shared species enriched in the gut of GC, predominantly lactic acid bacteria (LAB). While most gut microbial markers are abundant in saliva, none are significantly altered in GC. Strain-level analysis of 87 matched saliva-stool metagenomes confirms oral-gut transmission of Streptococcus species. GC-enriched LAB form robust co-abundance networks in oral and gut microbiomes, suggesting synergistic interactions. Functional analysis reveals enriched lactate fermentation pathways in GC stool, aligning with LAB dominance and previous findings on gastric microbiota. Moreover, microbiome-based classifiers achieve high predictive accuracy (area under receiver operating characteristic curve [AUROC] = 0.85 for stool, 0.87 for saliva) for GC diagnosis, highlighting translational potential. Collectively, these findings underscore the critical role of the oral-gut microbiome axis in GC.},
}
RevDate: 2026-04-21
Rapid recovery from starvation stress in low-temperature anammox system: extracellular polymeric substances protection and dissimilatory nitrate reduction to ammonium synergistically promote nitrogen metabolism recovery.
Bioresource technology pii:S0960-8524(26)00759-5 [Epub ahead of print].
Understanding the response of the anammox system to starvation disturbances under low-temperature conditions is of great importance. In this study, we explored the performance, microbial community structure, and microbial metabolic in a low-temperature anammox system following a 15-day starvation period with the aim of identifying their response and recovery mechanisms after starvation stress. It was found that the low-temperature anammox system was able to regain its initial performance within 5 days. After system stabilization, the total nitrogen removal efficiency increased from 85% to 88%. The upregulation of hydrazine synthase (hzs) and hydrazine dehydrogenase (hdh) genes involved in anammox process was identified as part of a response mechanism of anammox bacteria. During the starvation period, the increased secretion of extracellular polymeric substances (EPS) served as a protective mechanism. Additionally, the synergistic interaction between dissimilatory nitrate reduction to ammonium (DNRA) bacteria and anammox bacteria contributed to the enhancement of nitrogen removal efficiency. The EPS-mediated synergistic interaction between anammox bacteria and heterotrophic bacteria was conducive to the survival of microorganisms during starvation and their prompt recovery upon the restoration of substrate supply.
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@article {pmid42013936,
year = {2026},
author = {Nie, Z and Wang, Y and Ya, T and Dang, T and Wang, X and Liu, C and Hu, Z and Wang, X},
title = {Rapid recovery from starvation stress in low-temperature anammox system: extracellular polymeric substances protection and dissimilatory nitrate reduction to ammonium synergistically promote nitrogen metabolism recovery.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {134677},
doi = {10.1016/j.biortech.2026.134677},
pmid = {42013936},
issn = {1873-2976},
abstract = {Understanding the response of the anammox system to starvation disturbances under low-temperature conditions is of great importance. In this study, we explored the performance, microbial community structure, and microbial metabolic in a low-temperature anammox system following a 15-day starvation period with the aim of identifying their response and recovery mechanisms after starvation stress. It was found that the low-temperature anammox system was able to regain its initial performance within 5 days. After system stabilization, the total nitrogen removal efficiency increased from 85% to 88%. The upregulation of hydrazine synthase (hzs) and hydrazine dehydrogenase (hdh) genes involved in anammox process was identified as part of a response mechanism of anammox bacteria. During the starvation period, the increased secretion of extracellular polymeric substances (EPS) served as a protective mechanism. Additionally, the synergistic interaction between dissimilatory nitrate reduction to ammonium (DNRA) bacteria and anammox bacteria contributed to the enhancement of nitrogen removal efficiency. The EPS-mediated synergistic interaction between anammox bacteria and heterotrophic bacteria was conducive to the survival of microorganisms during starvation and their prompt recovery upon the restoration of substrate supply.},
}
RevDate: 2026-04-21
Functional activators-facilitated FeS transformation enhances petroleum hydrocarbon degradation by promoting functional microbial proliferation.
Bioresource technology pii:S0960-8524(26)00713-3 [Epub ahead of print].
Bioremediation of total petroleum hydrocarbon (TPH)-contaminated sites often faces a major challenge in sulfur-rich environments, where ferrous sulfide (FeS) immobilizes pollutants and sharply reduces their bioavailability, thereby stalling remediation. This study demonstrates that the bottleneck can be overcome by applying a composite functional activator to induce a targeted shift of the site microenvironment. The activator first selectively suppresses competing iron- and sulfur-reducing bacteria, reducing their relative abundance by 92%, thereby shifting the microbial community structure. Concurrently, a controlled decrease in local pH converts FeS from a pollutant sink into an active catalyst. The transformed FeS then activates molecular oxygen (O2) to generate reactive oxygen species (•OH and SO4[•-]), which chemically mobilize and pre-oxidize TPH, producing a "priming effect". This priming effect subsequently restructures the indigenous microbial community. Consequently, under optimized niche conditions and increased nutrient availability, TPH-degrading Bacillus populations expand significantly in the remediation environment: their relative abundance increases by 57%, and their niche breadth widens by 34%. Metagenomic analysis confirms upregulation of genes related to pollutant degradation, substance transport, and energy metabolism, strengthening the metabolic network. Ultimately, the integrated chemical-biological process achieves 90% TPH degradation. This study realizes the functional shift of FeS from remediation barrier to degradation booster, offering an innovative chemo-biological synergistic strategy and engineering paradigm for long-term stable remediation of TPH-contaminated sites.
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@article {pmid42013937,
year = {2026},
author = {Zhu, Y and Hou, Q and Hu, F and Zhuang, G and Ma, A},
title = {Functional activators-facilitated FeS transformation enhances petroleum hydrocarbon degradation by promoting functional microbial proliferation.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {134631},
doi = {10.1016/j.biortech.2026.134631},
pmid = {42013937},
issn = {1873-2976},
abstract = {Bioremediation of total petroleum hydrocarbon (TPH)-contaminated sites often faces a major challenge in sulfur-rich environments, where ferrous sulfide (FeS) immobilizes pollutants and sharply reduces their bioavailability, thereby stalling remediation. This study demonstrates that the bottleneck can be overcome by applying a composite functional activator to induce a targeted shift of the site microenvironment. The activator first selectively suppresses competing iron- and sulfur-reducing bacteria, reducing their relative abundance by 92%, thereby shifting the microbial community structure. Concurrently, a controlled decrease in local pH converts FeS from a pollutant sink into an active catalyst. The transformed FeS then activates molecular oxygen (O2) to generate reactive oxygen species (•OH and SO4[•-]), which chemically mobilize and pre-oxidize TPH, producing a "priming effect". This priming effect subsequently restructures the indigenous microbial community. Consequently, under optimized niche conditions and increased nutrient availability, TPH-degrading Bacillus populations expand significantly in the remediation environment: their relative abundance increases by 57%, and their niche breadth widens by 34%. Metagenomic analysis confirms upregulation of genes related to pollutant degradation, substance transport, and energy metabolism, strengthening the metabolic network. Ultimately, the integrated chemical-biological process achieves 90% TPH degradation. This study realizes the functional shift of FeS from remediation barrier to degradation booster, offering an innovative chemo-biological synergistic strategy and engineering paradigm for long-term stable remediation of TPH-contaminated sites.},
}
RevDate: 2026-04-21
Spleen metabolomics coupled with gut microbiome analysis to elucidate the immunomodulatory mechanisms of longan polysaccharides against cyclophosphamide-induced immunosuppression in mice.
International journal of biological macromolecules pii:S0141-8130(26)02035-0 [Epub ahead of print].
Longan polysaccharide (LP) has exhibited excellent immunomodulatory activities by modifying gut microbiota but the specific regulatory mechanism remains unclear. Therefore, spleen metabolomics and metagenomic sequencing of gut microbiota were combined to investigate the immunomodulatory mechanism of LP in cyclophosphamide (CPA)-induced immunosuppressed mice with an intact and antibiotic-depleted microbiota. The results indicated that LP significantly restored thymic and splenic indices, increased lymphocyte proliferation, and mitigated damage to immune organs. LP up-regulated the ratio of CD4[+]/CD8[+] in the mouse spleen to modulated cytokine secretion, thereby increasing serum concentrations of IFN-γ, TNF-α, IL-12, and IL-6. The metabolomic analysis indicated that LP alleviated CPA-induced splenic disturbance by coordinately improving amino acid metabolism, unsaturated fatty acid metabolism, and pyrimidine metabolism. Furthermore, LP significantly reshaped the CPA-induced gut microbiota imbalance, particularly by increasing the relative abundance of unclassified_f__Muribaculaceae and Bacteroides. However, antibiotic intervention almost offset the LP-mediated alleviation of immunosuppression. Our findings provide novel insights into the mechanisms underlying the immunosuppression-alleviating effects of natural polysaccharides.
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@article {pmid42014006,
year = {2026},
author = {Liu, H and Luo, J and Yang, Y and Yang, R and Li, W},
title = {Spleen metabolomics coupled with gut microbiome analysis to elucidate the immunomodulatory mechanisms of longan polysaccharides against cyclophosphamide-induced immunosuppression in mice.},
journal = {International journal of biological macromolecules},
volume = {},
number = {},
pages = {152109},
doi = {10.1016/j.ijbiomac.2026.152109},
pmid = {42014006},
issn = {1879-0003},
abstract = {Longan polysaccharide (LP) has exhibited excellent immunomodulatory activities by modifying gut microbiota but the specific regulatory mechanism remains unclear. Therefore, spleen metabolomics and metagenomic sequencing of gut microbiota were combined to investigate the immunomodulatory mechanism of LP in cyclophosphamide (CPA)-induced immunosuppressed mice with an intact and antibiotic-depleted microbiota. The results indicated that LP significantly restored thymic and splenic indices, increased lymphocyte proliferation, and mitigated damage to immune organs. LP up-regulated the ratio of CD4[+]/CD8[+] in the mouse spleen to modulated cytokine secretion, thereby increasing serum concentrations of IFN-γ, TNF-α, IL-12, and IL-6. The metabolomic analysis indicated that LP alleviated CPA-induced splenic disturbance by coordinately improving amino acid metabolism, unsaturated fatty acid metabolism, and pyrimidine metabolism. Furthermore, LP significantly reshaped the CPA-induced gut microbiota imbalance, particularly by increasing the relative abundance of unclassified_f__Muribaculaceae and Bacteroides. However, antibiotic intervention almost offset the LP-mediated alleviation of immunosuppression. Our findings provide novel insights into the mechanisms underlying the immunosuppression-alleviating effects of natural polysaccharides.},
}
RevDate: 2026-04-21
Benchmarking of shotgun sequencing depth reveals the potential and limitations of shallow metagenomics and strain-level analysis.
Nature microbiology [Epub ahead of print].
Shotgun metagenomics can provide both taxonomic and functional insights, but benchmarking is necessary to determine the sequencing depth appropriate for specific analyses. Here we used complex mixtures of DNA from cultured bacteria and analysed taxonomic composition, strain-level resolution and functional profiles at up to 11 sequencing depths (0.1-50.0 Gb). Reference-based analysis provided accurate strain-level taxonomy at 0.5-1.0 Gb. By contrast, de novo metagenome-assembled genome (MAG) reconstruction required deep sequencing (>10 Gb), and even MAGs deemed high quality by standard metrics were chimeric, with 54.5-81.8% accurately representing original strains, depending on the bioinformatic approach. Functionally, 2 Gb provided reliable insights at the pathway level for each of the mock communities tested, but sufficient proteome coverage was achieved only at or above 10 Gb. Library preparation and host DNA contamination were identified as confounders in shallow metagenomic analysis. This analysis highlights the potential and limitations of shallow metagenomics and provides guidance to accurately capture strain-level diversity using MAGs.
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@article {pmid42014453,
year = {2026},
author = {Treichel, NS and Pauvert, C and Séneca, J and Pjevac, P and Berry, D and Penders, J and Hitch, TCA and Clavel, T},
title = {Benchmarking of shotgun sequencing depth reveals the potential and limitations of shallow metagenomics and strain-level analysis.},
journal = {Nature microbiology},
volume = {},
number = {},
pages = {},
pmid = {42014453},
issn = {2058-5276},
support = {460129525//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 445552570//Deutsche Forschungsgemeinschaft (German Research Foundation)/ ; 10.55776/DOC69//Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)/ ; 10.55776/COE7//Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)/ ; },
abstract = {Shotgun metagenomics can provide both taxonomic and functional insights, but benchmarking is necessary to determine the sequencing depth appropriate for specific analyses. Here we used complex mixtures of DNA from cultured bacteria and analysed taxonomic composition, strain-level resolution and functional profiles at up to 11 sequencing depths (0.1-50.0 Gb). Reference-based analysis provided accurate strain-level taxonomy at 0.5-1.0 Gb. By contrast, de novo metagenome-assembled genome (MAG) reconstruction required deep sequencing (>10 Gb), and even MAGs deemed high quality by standard metrics were chimeric, with 54.5-81.8% accurately representing original strains, depending on the bioinformatic approach. Functionally, 2 Gb provided reliable insights at the pathway level for each of the mock communities tested, but sufficient proteome coverage was achieved only at or above 10 Gb. Library preparation and host DNA contamination were identified as confounders in shallow metagenomic analysis. This analysis highlights the potential and limitations of shallow metagenomics and provides guidance to accurately capture strain-level diversity using MAGs.},
}
RevDate: 2026-04-21
From Diagnostic Accuracy to Decision-Grade Respiratory Nanopore Metagenomics: Minimum Standards, Stewardship Endpoints, and Equitable Implementation.
Current microbiology, 83(6):.
Additional Links: PMID-42014512
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@article {pmid42014512,
year = {2026},
author = {Vijayasimha, M and Srikanth, M and Trivedi, NS},
title = {From Diagnostic Accuracy to Decision-Grade Respiratory Nanopore Metagenomics: Minimum Standards, Stewardship Endpoints, and Equitable Implementation.},
journal = {Current microbiology},
volume = {83},
number = {6},
pages = {},
pmid = {42014512},
issn = {1432-0991},
}
RevDate: 2026-04-21
Enhancing inference of differential gene expression in metatranscriptomes from human microbial communities.
Nature communications pii:10.1038/s41467-026-71871-5 [Epub ahead of print].
Metatranscriptomic (MTX) sequencing quantifies gene expression from the collective genomes of microbial communities (microbiomes), enabling assessment of functional activity rather than functional potential. While differential expression testing is essential for RNA-sequencing analysis, current metatranscriptomic approaches have only been benchmarked on simulated data, resulting in a lack of standard practices for analysis of real datasets. Here, we use mock communities (defined mixtures of microbial cells with known properties) to quantitatively assess robustness and susceptibility of current approaches to various confounders including organisms' low relative abundance, differential abundance, low prevalence, global transcriptional output changes, and compositional effects. We show that no current method is robust to all confounders and method performance on simulated data does not generalize to real datasets. We then apply the same approaches to MTX datasets generated from gnotobiotic mice colonized with defined consortia of human bacterial strains and show that the method nominated by the mock community comparisons successfully inferred cross-feeding dynamics that were subsequently validated in vitro. Finally, using metagenome-assembled genomes from a human clinical study, we leverage genome-level sequencing depth and detection of genes to exclude low information samples on a per-organism basis to overcome confounding low prevalence and enhance differential expression inference. We conclude that MTX benchmarking on real, non-simulated datasets can and should guide choice of methods and their implementation, enabling inference and validation of microbial metabolic strategies and interactions in vivo.
Additional Links: PMID-42014682
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@article {pmid42014682,
year = {2026},
author = {Lee, EM and McNulty, NP and Hibberd, MC and Cheng, J and Ahsan, K and Chang, HW and Cohen, BA and Gordon, JI},
title = {Enhancing inference of differential gene expression in metatranscriptomes from human microbial communities.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-71871-5},
pmid = {42014682},
issn = {2041-1723},
support = {DK30292//Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.)/ ; },
abstract = {Metatranscriptomic (MTX) sequencing quantifies gene expression from the collective genomes of microbial communities (microbiomes), enabling assessment of functional activity rather than functional potential. While differential expression testing is essential for RNA-sequencing analysis, current metatranscriptomic approaches have only been benchmarked on simulated data, resulting in a lack of standard practices for analysis of real datasets. Here, we use mock communities (defined mixtures of microbial cells with known properties) to quantitatively assess robustness and susceptibility of current approaches to various confounders including organisms' low relative abundance, differential abundance, low prevalence, global transcriptional output changes, and compositional effects. We show that no current method is robust to all confounders and method performance on simulated data does not generalize to real datasets. We then apply the same approaches to MTX datasets generated from gnotobiotic mice colonized with defined consortia of human bacterial strains and show that the method nominated by the mock community comparisons successfully inferred cross-feeding dynamics that were subsequently validated in vitro. Finally, using metagenome-assembled genomes from a human clinical study, we leverage genome-level sequencing depth and detection of genes to exclude low information samples on a per-organism basis to overcome confounding low prevalence and enhance differential expression inference. We conclude that MTX benchmarking on real, non-simulated datasets can and should guide choice of methods and their implementation, enabling inference and validation of microbial metabolic strategies and interactions in vivo.},
}
RevDate: 2026-04-21
Decoding a Microbial Community for Healthy Kelp: 403 MAGs from the World's Largest Kelp Farming Region.
Scientific data pii:10.1038/s41597-026-07250-y [Epub ahead of print].
Kelp is economically and ecologically significant, with its organic nutrient-rich aquaculture water harboring diverse microbial communities that critically influence kelp health and productivity. To characterize these communities, we collected ten water samples from major kelp farming areas and reconstructed 403 medium- to high-quality Metagenome-Assembled Genomes (MAGs). Of these, 110 (27.3%) met high-quality criteria (completeness >90%, contamination <5%). Phylogenomic analysis classified these MAGs into 21 archaeal and 382 bacterial species across 19 phyla, with Pseudomonadota (n = 217), Bacteroidota (n = 74), and Patescibacteria (n = 24) as the dominant groups. UpSet plot analysis revealed the presence of a core set of 30 MAGs across all sampling sites. Notably, diseased samples exhibited a marked increase in Pseudomonadota MAGs, suggesting their potential as biomarkers for disease monitoring. Together, these findings provide foundational insights into the microbial ecology of kelp aquaculture systems, supporting improved disease management and sustainable practices.
Additional Links: PMID-42014730
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@article {pmid42014730,
year = {2026},
author = {Wang, Y and Yu, P and Huang, ES and Lu, DC and Zhang, W},
title = {Decoding a Microbial Community for Healthy Kelp: 403 MAGs from the World's Largest Kelp Farming Region.},
journal = {Scientific data},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41597-026-07250-y},
pmid = {42014730},
issn = {2052-4463},
support = {2023-004//2023 Weihai Key Postdoctoral Research Funding Program/ ; },
abstract = {Kelp is economically and ecologically significant, with its organic nutrient-rich aquaculture water harboring diverse microbial communities that critically influence kelp health and productivity. To characterize these communities, we collected ten water samples from major kelp farming areas and reconstructed 403 medium- to high-quality Metagenome-Assembled Genomes (MAGs). Of these, 110 (27.3%) met high-quality criteria (completeness >90%, contamination <5%). Phylogenomic analysis classified these MAGs into 21 archaeal and 382 bacterial species across 19 phyla, with Pseudomonadota (n = 217), Bacteroidota (n = 74), and Patescibacteria (n = 24) as the dominant groups. UpSet plot analysis revealed the presence of a core set of 30 MAGs across all sampling sites. Notably, diseased samples exhibited a marked increase in Pseudomonadota MAGs, suggesting their potential as biomarkers for disease monitoring. Together, these findings provide foundational insights into the microbial ecology of kelp aquaculture systems, supporting improved disease management and sustainable practices.},
}
RevDate: 2026-04-19
(-)-Epigallocatechin-3-gallate alleviates diarrhea in piglets by suppressing the NMU-NMUR1-ILC2 axis and modulating microbiota-associated energy metabolism.
Phytomedicine : international journal of phytotherapy and phytopharmacology, 155:158119 pii:S0944-7113(26)00354-5 [Epub ahead of print].
BACKGROUND: Bacterial diarrhea is considered a global health crisis, accounting for approximately 20 % of deaths related to colorectal cancer. (-)-Epigallocatechin 3-gallate (EGCG), one of the most abundant plant-derived polyphenols in the human diet, has shown promise in managing gastrointestinal disorders. But, the systemic evidence for EGCG in alleviating the progression of diarrhea and the mechanisms involved remain unclear.
OBJECTIVES: This study aims to determine whether EGCG confers diarrhea resistance in piglets under Escherichia coli (E. coli) and what the fundamental mechanisms involved are.
METHODS: Weaned piglets were used to create a E. coli-induced intestinal disorder-diarrhea susceptibility model. Piglets were supplemented with EGCG to identify diarrhea rate and activity of enteric nervous system (ENS). The interaction between the neuromedin U receptor 1 (NMUR1) and typeⅡinnate lymphoid cells (ILC2) was analyzed using RNA sequencing (RNA-seq) and fluorescence colocalization techniques. Metagenomic and metabolomic analyses were further performed to assess the involvement of NMUR1 and the underlying mechanisms of beneficial microbes enriched by EGCG. The effects of beneficial microbes in treating intestinal morphology were investigated through histopathology, Scanning electron microscopy (SEM) and ELISA analysis methods.
RESULTS: EGCG reduced diarrhea rate in piglets by inhibiting the NMU-NMUR1-ILC2 pathway, ameliorating gut microbiota structure, and stimulating intestinal barrier. Apparently, the enteric nerve-microbial axis is linked with EGCG conferring diarrhea resistance in piglets. Mechanistically, EGCG suppressed the NMU-NMUR1-ILC2 axis to reduce the secretion of inflammatory cytokines (TNF-α, IL-6, and IL-8), while concurrently increasing the abundance of beneficial gut microbes and altering signature microbial community functions (energy metabolism pathways); accordingly, EGCG maintained the energy supply balance in gut epithelial cells and promoted the activity of goblet cell and Paneth cell by activating the AMP-activated protein kinase (AMPK)-sirtuin 1 (Sirt1) signaling pathway.
CONCLUSION: EGCG confers diarrhea resistance in E. coli piglets by maintaining intestinal mucosal barrier via the enteric nerve-microbial axis; thus, this study provides a potential prevention strategy for young mammals at risk of diarrhea.
Additional Links: PMID-42001834
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@article {pmid42001834,
year = {2026},
author = {Ma, Z and Gao, L and Hou, W and Wu, J and Wen, X and Zhang, Y and Dong, N and Dou, X and Shan, A},
title = {(-)-Epigallocatechin-3-gallate alleviates diarrhea in piglets by suppressing the NMU-NMUR1-ILC2 axis and modulating microbiota-associated energy metabolism.},
journal = {Phytomedicine : international journal of phytotherapy and phytopharmacology},
volume = {155},
number = {},
pages = {158119},
doi = {10.1016/j.phymed.2026.158119},
pmid = {42001834},
issn = {1618-095X},
abstract = {BACKGROUND: Bacterial diarrhea is considered a global health crisis, accounting for approximately 20 % of deaths related to colorectal cancer. (-)-Epigallocatechin 3-gallate (EGCG), one of the most abundant plant-derived polyphenols in the human diet, has shown promise in managing gastrointestinal disorders. But, the systemic evidence for EGCG in alleviating the progression of diarrhea and the mechanisms involved remain unclear.
OBJECTIVES: This study aims to determine whether EGCG confers diarrhea resistance in piglets under Escherichia coli (E. coli) and what the fundamental mechanisms involved are.
METHODS: Weaned piglets were used to create a E. coli-induced intestinal disorder-diarrhea susceptibility model. Piglets were supplemented with EGCG to identify diarrhea rate and activity of enteric nervous system (ENS). The interaction between the neuromedin U receptor 1 (NMUR1) and typeⅡinnate lymphoid cells (ILC2) was analyzed using RNA sequencing (RNA-seq) and fluorescence colocalization techniques. Metagenomic and metabolomic analyses were further performed to assess the involvement of NMUR1 and the underlying mechanisms of beneficial microbes enriched by EGCG. The effects of beneficial microbes in treating intestinal morphology were investigated through histopathology, Scanning electron microscopy (SEM) and ELISA analysis methods.
RESULTS: EGCG reduced diarrhea rate in piglets by inhibiting the NMU-NMUR1-ILC2 pathway, ameliorating gut microbiota structure, and stimulating intestinal barrier. Apparently, the enteric nerve-microbial axis is linked with EGCG conferring diarrhea resistance in piglets. Mechanistically, EGCG suppressed the NMU-NMUR1-ILC2 axis to reduce the secretion of inflammatory cytokines (TNF-α, IL-6, and IL-8), while concurrently increasing the abundance of beneficial gut microbes and altering signature microbial community functions (energy metabolism pathways); accordingly, EGCG maintained the energy supply balance in gut epithelial cells and promoted the activity of goblet cell and Paneth cell by activating the AMP-activated protein kinase (AMPK)-sirtuin 1 (Sirt1) signaling pathway.
CONCLUSION: EGCG confers diarrhea resistance in E. coli piglets by maintaining intestinal mucosal barrier via the enteric nerve-microbial axis; thus, this study provides a potential prevention strategy for young mammals at risk of diarrhea.},
}
RevDate: 2026-04-19
Integrating metagenomics and explainable artificial intelligence for modeling of food waste treatment using full-scale anaerobic digestion.
Bioresource technology pii:S0960-8524(26)00731-5 [Epub ahead of print].
Anaerobic digestion (AD), a biochemical process that can convert food waste (FW) into methane, offers great promise as a sustainable form of energy production. While several attempts have been made to optimize AD systems using various mathematical models, more precise modeling approaches that fully consider the complexity of the AD process are required, leading to the adoption of artificial intelligence (AI) as a suitable alternative to numerical modeling. In line with this, the present study tested 11 AI-based models on their prediction of the methane yield for a full-scale AD process using FW as a feedstock. The models incorporated operational parameters, environmental conditions, and microbial information to improve their predictive performance, and the most precise model was a one-dimensional convolutional neural network (1D-CNN) with optimized hyperparameters. Explainable AI (XAI) was then used to determine the most important input features contributing to the predictions of the optimal AI model, thus allowing for detailed model interpretation. Methanothrix was identified as a key predictor of methane yield, and metagenomic analysis provided independent genome-level evidence broadly consistent with the XAI results. Overall, this study proposes a novel approach to the interpretation and optimization of AD performance, rather than focusing only on enhancing the predictive performance of a discrete model.
Additional Links: PMID-42002156
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PubMed:
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@article {pmid42002156,
year = {2026},
author = {Jeon, J and Nguyen, HT and Yeo, G and Lee, C and Cho, SK and Oh, S},
title = {Integrating metagenomics and explainable artificial intelligence for modeling of food waste treatment using full-scale anaerobic digestion.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {134649},
doi = {10.1016/j.biortech.2026.134649},
pmid = {42002156},
issn = {1873-2976},
abstract = {Anaerobic digestion (AD), a biochemical process that can convert food waste (FW) into methane, offers great promise as a sustainable form of energy production. While several attempts have been made to optimize AD systems using various mathematical models, more precise modeling approaches that fully consider the complexity of the AD process are required, leading to the adoption of artificial intelligence (AI) as a suitable alternative to numerical modeling. In line with this, the present study tested 11 AI-based models on their prediction of the methane yield for a full-scale AD process using FW as a feedstock. The models incorporated operational parameters, environmental conditions, and microbial information to improve their predictive performance, and the most precise model was a one-dimensional convolutional neural network (1D-CNN) with optimized hyperparameters. Explainable AI (XAI) was then used to determine the most important input features contributing to the predictions of the optimal AI model, thus allowing for detailed model interpretation. Methanothrix was identified as a key predictor of methane yield, and metagenomic analysis provided independent genome-level evidence broadly consistent with the XAI results. Overall, this study proposes a novel approach to the interpretation and optimization of AD performance, rather than focusing only on enhancing the predictive performance of a discrete model.},
}
RevDate: 2026-04-19
Curcumin modulates hepatic pyroptosis-autophagy crosstalk induced by aflatoxin B1 via rumen microbiota-blood-liver axis.
Microbiome pii:10.1186/s40168-026-02396-8 [Epub ahead of print].
BACKGROUND: Aflatoxins, fungal secondary metabolites from Aspergillus species, primarily causes liver and gastrointestinal damage in ruminant. Curcumin, a plant polyphenol, has been shown to possess both anti-inflammatory and antioxidant properties, in addition to regulatory effects on gut microbiota. However, research on curcumin's impact against AFB1 toxicity in ruminants is limited. This study aims to elucidate whether AFB1 induces hepatic pyroptosis and autophagy in ruminants via the rumen microbiota-blood-liver axis and the regulatory role of curcumin. The experimental design involves the administration of AFB1 and curcumin to sheep, followed by a comprehensive observation of alterations in rumen microbiota, barrier function, and the occurrence of hepatic pyroptosis and autophagy, with the aim of elucidating the mechanism of curcumin in ameliorating AFB1-induced liver injury in sheep.
RESULTS: In the experimental setup, 800 mg/kg dry matter (DM) curcumin was administered as a dietary supplement to alleviate the adverse effects of AFB1 (500 μg/kg DM) on the rumen and liver of sheep. AFB1 suppressed NH3-N and VFAs production, whereas curcumin improved VFA generation and fermentation efficiency. Curcumin mitigated AFB1-induced rumen barrier impairment by upregulating tight junction proteins (ZO-1, Occludin, Claudin-1) and reducing LPS levels, which was consistent with metagenomic data showing amelioration of microbiota dysbiosis and reduced lysis of Gram-negative bacteria. At hepatic level, curcumin downregulated the principal mediators of the TLR4-NF-κB-NLRP3 signaling pathway (TLR4, p65, and NLRP3), attenuating pyroptosis and reducing serum AST, ALT, and LDH concentrations, while reversing inflammatory infiltration and hepatic cord disruption. Furthermore, curcumin restored autophagic flux by increasing the LC3-II/LC3-I ratio and decreasing p62 accumulation, counteracting AFB1-induced autophagy inhibition.
CONCLUSIONS: Curcumin counteracts AFB1-induced rumen-liver axis dysfunction. It works by stabilizing the microbiota, maintaining barrier integrity, and dually regulating pyroptosis and autophagy. Video Abstract.
Additional Links: PMID-42002784
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PubMed:
Citation:
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@article {pmid42002784,
year = {2026},
author = {Liu, T and Fan, S and Li, J and Wang, T and Zhang, J and Wang, C},
title = {Curcumin modulates hepatic pyroptosis-autophagy crosstalk induced by aflatoxin B1 via rumen microbiota-blood-liver axis.},
journal = {Microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40168-026-02396-8},
pmid = {42002784},
issn = {2049-2618},
support = {2023YFD1301005//National Key Research and Development Program of China/ ; },
abstract = {BACKGROUND: Aflatoxins, fungal secondary metabolites from Aspergillus species, primarily causes liver and gastrointestinal damage in ruminant. Curcumin, a plant polyphenol, has been shown to possess both anti-inflammatory and antioxidant properties, in addition to regulatory effects on gut microbiota. However, research on curcumin's impact against AFB1 toxicity in ruminants is limited. This study aims to elucidate whether AFB1 induces hepatic pyroptosis and autophagy in ruminants via the rumen microbiota-blood-liver axis and the regulatory role of curcumin. The experimental design involves the administration of AFB1 and curcumin to sheep, followed by a comprehensive observation of alterations in rumen microbiota, barrier function, and the occurrence of hepatic pyroptosis and autophagy, with the aim of elucidating the mechanism of curcumin in ameliorating AFB1-induced liver injury in sheep.
RESULTS: In the experimental setup, 800 mg/kg dry matter (DM) curcumin was administered as a dietary supplement to alleviate the adverse effects of AFB1 (500 μg/kg DM) on the rumen and liver of sheep. AFB1 suppressed NH3-N and VFAs production, whereas curcumin improved VFA generation and fermentation efficiency. Curcumin mitigated AFB1-induced rumen barrier impairment by upregulating tight junction proteins (ZO-1, Occludin, Claudin-1) and reducing LPS levels, which was consistent with metagenomic data showing amelioration of microbiota dysbiosis and reduced lysis of Gram-negative bacteria. At hepatic level, curcumin downregulated the principal mediators of the TLR4-NF-κB-NLRP3 signaling pathway (TLR4, p65, and NLRP3), attenuating pyroptosis and reducing serum AST, ALT, and LDH concentrations, while reversing inflammatory infiltration and hepatic cord disruption. Furthermore, curcumin restored autophagic flux by increasing the LC3-II/LC3-I ratio and decreasing p62 accumulation, counteracting AFB1-induced autophagy inhibition.
CONCLUSIONS: Curcumin counteracts AFB1-induced rumen-liver axis dysfunction. It works by stabilizing the microbiota, maintaining barrier integrity, and dually regulating pyroptosis and autophagy. Video Abstract.},
}
RevDate: 2026-04-19
CmpDate: 2026-04-20
Longitudinal gut microbiome dynamics are associated with clinical outcome and toxicity during ibrutinib therapy.
Gut microbes, 18(1):2659397.
Accumulating evidence indicates that the gut microbiome influences therapeutic efficacy and toxicity across cancer treatments; however, its longitudinal dynamics during targeted therapies remain poorly characterized. Here, we performed whole-genome shotgun metagenomic sequencing of 291 longitudinal stool samples collected over one year from 30 patients with hematologic malignancies treated with ibrutinib. Overall gut microbial diversity remained stable at the population level but exhibited markedly divergent temporal trajectories according to clinical outcome, with progressive recovery in responders and blunted or delayed restoration in non-responders. Longitudinal modeling revealed distinct species- and pathway-level microbial dynamics between patients with treatment response or nonresponse, including enrichment of saccharolytic, short-chain fatty acid-associated taxa and metabolic pathways in responders, and expansion of bile acid-modifying, proteolytic, and inflammation-associated microbial features in non-responders. Functional profiling further demonstrated opposing temporal trends in pathways related to carbohydrate fermentation, amino-acid metabolism, and secondary bile acid synthesis. In addition, both baseline microbiome composition and longitudinal remodeling were associated with the development of ibrutinib-associated diarrhea. Together, these findings reveal coordinated, outcome-specific remodeling of the gut microbiome during ibrutinib therapy and highlight longitudinal microbiome trajectories, rather than static baseline features, as potential biomarkers of treatment response and toxicity, as well as targets for microbiome-directed interventions. In conclusion, our findings highlight a potential role of gut microbiome dynamics in modulating response to BTK inhibition and support the need for larger, prospective studies to validate these observations.
Additional Links: PMID-42002835
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@article {pmid42002835,
year = {2026},
author = {Morineau, N and Tessoulin, B and Guimard, T and Papin, M and Roquilly, A and Le Gouill, S and Montassier, E},
title = {Longitudinal gut microbiome dynamics are associated with clinical outcome and toxicity during ibrutinib therapy.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2659397},
doi = {10.1080/19490976.2026.2659397},
pmid = {42002835},
issn = {1949-0984},
mesh = {Humans ; *Gastrointestinal Microbiome/drug effects ; *Piperidines/adverse effects/therapeutic use ; *Adenine/analogs & derivatives/adverse effects/therapeutic use ; Male ; Female ; Middle Aged ; Aged ; Longitudinal Studies ; *Bacteria/classification/genetics/isolation & purification/metabolism/drug effects ; Feces/microbiology ; Treatment Outcome ; *Antineoplastic Agents/adverse effects/therapeutic use ; Adult ; },
abstract = {Accumulating evidence indicates that the gut microbiome influences therapeutic efficacy and toxicity across cancer treatments; however, its longitudinal dynamics during targeted therapies remain poorly characterized. Here, we performed whole-genome shotgun metagenomic sequencing of 291 longitudinal stool samples collected over one year from 30 patients with hematologic malignancies treated with ibrutinib. Overall gut microbial diversity remained stable at the population level but exhibited markedly divergent temporal trajectories according to clinical outcome, with progressive recovery in responders and blunted or delayed restoration in non-responders. Longitudinal modeling revealed distinct species- and pathway-level microbial dynamics between patients with treatment response or nonresponse, including enrichment of saccharolytic, short-chain fatty acid-associated taxa and metabolic pathways in responders, and expansion of bile acid-modifying, proteolytic, and inflammation-associated microbial features in non-responders. Functional profiling further demonstrated opposing temporal trends in pathways related to carbohydrate fermentation, amino-acid metabolism, and secondary bile acid synthesis. In addition, both baseline microbiome composition and longitudinal remodeling were associated with the development of ibrutinib-associated diarrhea. Together, these findings reveal coordinated, outcome-specific remodeling of the gut microbiome during ibrutinib therapy and highlight longitudinal microbiome trajectories, rather than static baseline features, as potential biomarkers of treatment response and toxicity, as well as targets for microbiome-directed interventions. In conclusion, our findings highlight a potential role of gut microbiome dynamics in modulating response to BTK inhibition and support the need for larger, prospective studies to validate these observations.},
}
MeSH Terms:
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Humans
*Gastrointestinal Microbiome/drug effects
*Piperidines/adverse effects/therapeutic use
*Adenine/analogs & derivatives/adverse effects/therapeutic use
Male
Female
Middle Aged
Aged
Longitudinal Studies
*Bacteria/classification/genetics/isolation & purification/metabolism/drug effects
Feces/microbiology
Treatment Outcome
*Antineoplastic Agents/adverse effects/therapeutic use
Adult
RevDate: 2026-04-20
CmpDate: 2026-04-20
ChloroScan: Recovering Plastid Genome Bins From Metagenomic Data.
Molecular ecology resources, 26(3):e70143.
Genome-resolved metagenomics has contributed greatly to discovering prokaryotic genomes. When applied to microscopic eukaryotes (protists), challenges such as the high number of introns and repeat regions found in nuclear genomes have hampered the mining and discovery of novel protistan lineages. Organellar genomes are simpler, smaller, have higher abundance than their nuclear counterparts and contain valuable phylogenetic information, but are yet to be widely used to identify new protist lineages from metagenomes. Here we present "ChloroScan", a new bioinformatics pipeline to extract eukaryotic plastid genomes from metagenomes. It incorporates a deep learning contig classifier to identify putative plastid contigs and an automated binning module to recover bins with guidance from a curated marker gene database. Additionally, ChloroScan summarizes the results in different user-friendly formats, including annotated coding sequences and proteins for each bin. We show that ChloroScan recovers more high-quality plastid bins than MetaBAT2 for simulated metagenomes. The practical utility of ChloroScan is illustrated by recovering 16 medium to high-quality metagenome assembled genomes (MAGs) from four protist-size-fraction metagenomes, with several bins showing high taxonomic novelty. The ChloroScan code (v0.1.7) is available at https://github.com/Andyargueasae/chloroscan/tree/release_v0.1.7 under Apache-2.0 licence.
Additional Links: PMID-42003340
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PubMed:
Citation:
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@article {pmid42003340,
year = {2026},
author = {Tong, Y and Marcelino, VR and Turnbull, R and Verbruggen, H},
title = {ChloroScan: Recovering Plastid Genome Bins From Metagenomic Data.},
journal = {Molecular ecology resources},
volume = {26},
number = {3},
pages = {e70143},
doi = {10.1111/1755-0998.70143},
pmid = {42003340},
issn = {1755-0998},
support = {2023.06155//Fundação para a Ciência e a Tecnologia/ ; DE220100965//Australian Research Council/ ; RYC2023-042907-I//Ministerio de Ciencia e Innovación/ ; //The University of Melbourne's Research Computing Services/ ; },
mesh = {*Metagenomics/methods ; *Computational Biology/methods ; *Genome, Plastid ; *Eukaryota/genetics/classification ; *Software ; Phylogeny ; Metagenome ; },
abstract = {Genome-resolved metagenomics has contributed greatly to discovering prokaryotic genomes. When applied to microscopic eukaryotes (protists), challenges such as the high number of introns and repeat regions found in nuclear genomes have hampered the mining and discovery of novel protistan lineages. Organellar genomes are simpler, smaller, have higher abundance than their nuclear counterparts and contain valuable phylogenetic information, but are yet to be widely used to identify new protist lineages from metagenomes. Here we present "ChloroScan", a new bioinformatics pipeline to extract eukaryotic plastid genomes from metagenomes. It incorporates a deep learning contig classifier to identify putative plastid contigs and an automated binning module to recover bins with guidance from a curated marker gene database. Additionally, ChloroScan summarizes the results in different user-friendly formats, including annotated coding sequences and proteins for each bin. We show that ChloroScan recovers more high-quality plastid bins than MetaBAT2 for simulated metagenomes. The practical utility of ChloroScan is illustrated by recovering 16 medium to high-quality metagenome assembled genomes (MAGs) from four protist-size-fraction metagenomes, with several bins showing high taxonomic novelty. The ChloroScan code (v0.1.7) is available at https://github.com/Andyargueasae/chloroscan/tree/release_v0.1.7 under Apache-2.0 licence.},
}
MeSH Terms:
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*Metagenomics/methods
*Computational Biology/methods
*Genome, Plastid
*Eukaryota/genetics/classification
*Software
Phylogeny
Metagenome
RevDate: 2026-04-20
DiscoVir: an automated, web-based pipeline for viral metagenomics.
Microbiology resource announcements [Epub ahead of print].
DiscoVir is an automated pipeline for viral metagenomics available in National Institute of Allergy and Infectious Diseases (NIAID)'s free web application for microbiome analysis, Nephele. DiscoVir makes viral discovery, taxonomic and functional annotation, host predictions, and diversity analyses of the virome easily accessible to researchers at all levels of expertise.
Additional Links: PMID-42003642
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@article {pmid42003642,
year = {2026},
author = {Krausfeldt, LE and Subramanian, P and Doan, D and McCauley, K and Dolan, M and Hurt, DE},
title = {DiscoVir: an automated, web-based pipeline for viral metagenomics.},
journal = {Microbiology resource announcements},
volume = {},
number = {},
pages = {e0008526},
doi = {10.1128/mra.00085-26},
pmid = {42003642},
issn = {2576-098X},
abstract = {DiscoVir is an automated pipeline for viral metagenomics available in National Institute of Allergy and Infectious Diseases (NIAID)'s free web application for microbiome analysis, Nephele. DiscoVir makes viral discovery, taxonomic and functional annotation, host predictions, and diversity analyses of the virome easily accessible to researchers at all levels of expertise.},
}
RevDate: 2026-04-20
Amplicon sequence collection of putative polyethylene terephthalate hydrolases from two different composts in Japan.
Microbiology resource announcements [Epub ahead of print].
We report a collection of amplicon sequences of putative polyethylene terephthalate (PET) hydrolases from two different composts in Japan. Employing previously designed degenerate primers, we identified 31 and 22 sequences from industrial and agricultural composts, respectively, confirming the presence of highly homologous PET hydrolase genes across different compost environments.
Additional Links: PMID-42003644
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PubMed:
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@article {pmid42003644,
year = {2026},
author = {Iizuka, R and Moriya, T and Oshima, T and Uemura, S and Yohda, M},
title = {Amplicon sequence collection of putative polyethylene terephthalate hydrolases from two different composts in Japan.},
journal = {Microbiology resource announcements},
volume = {},
number = {},
pages = {e0017326},
doi = {10.1128/mra.00173-26},
pmid = {42003644},
issn = {2576-098X},
abstract = {We report a collection of amplicon sequences of putative polyethylene terephthalate (PET) hydrolases from two different composts in Japan. Employing previously designed degenerate primers, we identified 31 and 22 sequences from industrial and agricultural composts, respectively, confirming the presence of highly homologous PET hydrolase genes across different compost environments.},
}
RevDate: 2026-04-20
Metagenome-assembled genomes from urban pigeon feces in Istanbul, Türkiye.
Microbiology resource announcements [Epub ahead of print].
We report herein about 101 metagenome-assembled genomes (MAGs) obtained from pigeon fecal samples collected in 2025 from the Beyazıt, Kadıköy, and Beşiktaş squares of Istanbul. The MAGs were predominantly composed of members of the phyla Firmicutes, Actinobacteria, and Proteobacteria, with a lower representation of Campylobacterota and Patescibacteriota.
Additional Links: PMID-42003651
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PubMed:
Citation:
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@article {pmid42003651,
year = {2026},
author = {Kocakahya, İ and Şahin, G and Büyükkahraman, E and Arıkan, M},
title = {Metagenome-assembled genomes from urban pigeon feces in Istanbul, Türkiye.},
journal = {Microbiology resource announcements},
volume = {},
number = {},
pages = {e0140525},
doi = {10.1128/mra.01405-25},
pmid = {42003651},
issn = {2576-098X},
abstract = {We report herein about 101 metagenome-assembled genomes (MAGs) obtained from pigeon fecal samples collected in 2025 from the Beyazıt, Kadıköy, and Beşiktaş squares of Istanbul. The MAGs were predominantly composed of members of the phyla Firmicutes, Actinobacteria, and Proteobacteria, with a lower representation of Campylobacterota and Patescibacteriota.},
}
RevDate: 2026-04-20
Shading affects the nitrogen cycling process and plant nitrogen uptake by altering the rhizosphere microbial community.
Frontiers in plant science, 17:1780344.
Plants adapt to environmental changes by affecting the rhizosphere environment and microbial pathways. Shading affects nitrogen absorption and accumulation in plants by directly or indirectly altering the light intensity. However, the effects this has on the rhizosphere micro-environment and especially the microbial community are not fully understood. Utilizing non-targeted metabolomics and metagenomics, we investigated the changes in the microbial community structure in the cigar tobacco rhizosphere and the nitrogen cycling process and its relationship with nitrogen absorption by the plants under artificial shading conditions. Shading significantly increased the rhizosphere soil organic carbon, hydrolyzable nitrogen, ammonium nitrogen, nitrate nitrogen, and nitrogen contents in tobacco plants. Metabolomics revealed that shading significantly affected the arginine biosynthesis pathway in the rhizosphere soil, with the expression levels of L-oxornithine, citrulline and L-arginine significantly increasing. Metagenomics analysis indicated that shading significantly altered the rhizosphere microbial community structure and the nitrogen cycling process. The abundances of organic nitrogen-decomposition (gdh A, ansB) and nitrification genes (amoA_B, amoB_B, amoC_B, hao) significantly increased. Flavobacterium and Stenotrophomonas may play important roles in the nitrogen cycle in the rhizosphere. Correlation analysis indicated that Flavobacterium and Stenotrophomonas were significantly positively correlated with L-glutamic acid, L-ornithine and L-arginine (p < 0.05). These results reveal the biological mechanism by which shading affects nitrogen absorption in crops via changes in the rhizosphere microbial community and the nitrogen cycling process, providing a scientific foundation for guiding nutrient management strategies in shaded cultivation.
Additional Links: PMID-42004019
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@article {pmid42004019,
year = {2026},
author = {Yuan, G and Zhu, X and Zhang, L and Wang, X and Wang, Y and Guo, D and Zhang, T and Wang, G and Wang, N},
title = {Shading affects the nitrogen cycling process and plant nitrogen uptake by altering the rhizosphere microbial community.},
journal = {Frontiers in plant science},
volume = {17},
number = {},
pages = {1780344},
pmid = {42004019},
issn = {1664-462X},
abstract = {Plants adapt to environmental changes by affecting the rhizosphere environment and microbial pathways. Shading affects nitrogen absorption and accumulation in plants by directly or indirectly altering the light intensity. However, the effects this has on the rhizosphere micro-environment and especially the microbial community are not fully understood. Utilizing non-targeted metabolomics and metagenomics, we investigated the changes in the microbial community structure in the cigar tobacco rhizosphere and the nitrogen cycling process and its relationship with nitrogen absorption by the plants under artificial shading conditions. Shading significantly increased the rhizosphere soil organic carbon, hydrolyzable nitrogen, ammonium nitrogen, nitrate nitrogen, and nitrogen contents in tobacco plants. Metabolomics revealed that shading significantly affected the arginine biosynthesis pathway in the rhizosphere soil, with the expression levels of L-oxornithine, citrulline and L-arginine significantly increasing. Metagenomics analysis indicated that shading significantly altered the rhizosphere microbial community structure and the nitrogen cycling process. The abundances of organic nitrogen-decomposition (gdh A, ansB) and nitrification genes (amoA_B, amoB_B, amoC_B, hao) significantly increased. Flavobacterium and Stenotrophomonas may play important roles in the nitrogen cycle in the rhizosphere. Correlation analysis indicated that Flavobacterium and Stenotrophomonas were significantly positively correlated with L-glutamic acid, L-ornithine and L-arginine (p < 0.05). These results reveal the biological mechanism by which shading affects nitrogen absorption in crops via changes in the rhizosphere microbial community and the nitrogen cycling process, providing a scientific foundation for guiding nutrient management strategies in shaded cultivation.},
}
RevDate: 2026-04-20
A four-year misdiagnosis of spinal Burkholderia pseudomallei infection: A case report and literature review.
IDCases, 44:e02558.
Melioidosis, traditionally an endemic disease, is increasingly reported in non-endemic regions. Its causative pathogen, Burkholderia pseudomallei, exhibits distinct characteristics from common pathogens but is prone to misdiagnosis due to clinical overlap with other infections. Despite advances in diagnostics, metagenomic next-generation sequencing (mNGS) has not been featured in case reports. We present a case of melioidosis, misdiagnosed for four years, where mNGS proved pivotal for definitive diagnosis. Based on our findings and literature review, we advocate for mNGS in melioidosis diagnosis. Furthermore, we identify subtle distinctions between melioidosis and tuberculosis amidst their similarities and propose integrating these features into a differential diagnostic framework.
Additional Links: PMID-42004152
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@article {pmid42004152,
year = {2026},
author = {You, G and Wang, S and Hua, Y and Su, J and Yang, Y and Shi, B and Cen, S},
title = {A four-year misdiagnosis of spinal Burkholderia pseudomallei infection: A case report and literature review.},
journal = {IDCases},
volume = {44},
number = {},
pages = {e02558},
pmid = {42004152},
issn = {2214-2509},
abstract = {Melioidosis, traditionally an endemic disease, is increasingly reported in non-endemic regions. Its causative pathogen, Burkholderia pseudomallei, exhibits distinct characteristics from common pathogens but is prone to misdiagnosis due to clinical overlap with other infections. Despite advances in diagnostics, metagenomic next-generation sequencing (mNGS) has not been featured in case reports. We present a case of melioidosis, misdiagnosed for four years, where mNGS proved pivotal for definitive diagnosis. Based on our findings and literature review, we advocate for mNGS in melioidosis diagnosis. Furthermore, we identify subtle distinctions between melioidosis and tuberculosis amidst their similarities and propose integrating these features into a differential diagnostic framework.},
}
RevDate: 2026-04-20
Metagenomic insights into mangrove lignocellulolytic bacteria and functional analysis of a glucose-tolerant GH 1 β-glucosidase.
3 Biotech, 16(5):163.
UNLABELLED: Mangrove ecosystems contain abundant lignocellulosic biomass and mangrove microorganisms that are capable of degrading plant polymers. In this study, a shotgun metagenomic approach was employed to explore the bacterial communities from Tanjung Piai National Park, Malaysia and their genes involved in lignocellulosic biomass degradation. A total of 148 of carbohydrate active enzymes (CAZy) genes spanning GH, CE, and AA families were identified with lignocellulolytic abilities. These enzymes included 20 cellulases, 46 hemicellulases, and 82 lignin-modifying enzymes. Approximately 89.19% of these genes were found from underexplored bacterial lineages. A set of lignocellulolytic genes derived from diverse bacterial taxa highlighted the synergistic action of mangrove bacteria in lignocellulose degradation. To validate the functionality of these genetic resources, one of the genes (BGL3_GH1) encoding a β-glucosidase was selected for expression and characterisation. The recombinant enzyme showed optimal activity at 60 ℃ and pH 7, retained up to 75% activity at 10% (w/v) NaCl. The enzyme exhibited a 1.6 to 2.1-fold in enzyme activity with glucose concentration up to 2 M. In a two-step saccharification assay using sugarcane bagasse, supplementation with recombinant BGL3_GH1 enhanced the saccharification yield (0.0674 g g[- 1] biomass) compared with treatments using commercial cellulase or recombinant BGL3_GH1 alone. These findings reveal the functional diversity of lignocellulose-degrading genes in mangrove bacteria and identify recombinant BGL3_GH1 as a potential enzyme candidate for biomass conversion application.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-026-04788-x.
Additional Links: PMID-42004164
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@article {pmid42004164,
year = {2026},
author = {Chong, KL and Liew, KJ and Salleh, FM and Chong, CS},
title = {Metagenomic insights into mangrove lignocellulolytic bacteria and functional analysis of a glucose-tolerant GH 1 β-glucosidase.},
journal = {3 Biotech},
volume = {16},
number = {5},
pages = {163},
pmid = {42004164},
issn = {2190-572X},
abstract = {UNLABELLED: Mangrove ecosystems contain abundant lignocellulosic biomass and mangrove microorganisms that are capable of degrading plant polymers. In this study, a shotgun metagenomic approach was employed to explore the bacterial communities from Tanjung Piai National Park, Malaysia and their genes involved in lignocellulosic biomass degradation. A total of 148 of carbohydrate active enzymes (CAZy) genes spanning GH, CE, and AA families were identified with lignocellulolytic abilities. These enzymes included 20 cellulases, 46 hemicellulases, and 82 lignin-modifying enzymes. Approximately 89.19% of these genes were found from underexplored bacterial lineages. A set of lignocellulolytic genes derived from diverse bacterial taxa highlighted the synergistic action of mangrove bacteria in lignocellulose degradation. To validate the functionality of these genetic resources, one of the genes (BGL3_GH1) encoding a β-glucosidase was selected for expression and characterisation. The recombinant enzyme showed optimal activity at 60 ℃ and pH 7, retained up to 75% activity at 10% (w/v) NaCl. The enzyme exhibited a 1.6 to 2.1-fold in enzyme activity with glucose concentration up to 2 M. In a two-step saccharification assay using sugarcane bagasse, supplementation with recombinant BGL3_GH1 enhanced the saccharification yield (0.0674 g g[- 1] biomass) compared with treatments using commercial cellulase or recombinant BGL3_GH1 alone. These findings reveal the functional diversity of lignocellulose-degrading genes in mangrove bacteria and identify recombinant BGL3_GH1 as a potential enzyme candidate for biomass conversion application.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-026-04788-x.},
}
RevDate: 2026-04-20
CmpDate: 2026-04-20
Diet-Driven Divergence in Gut Microbiota Variation Between Two Sympatric Gerbil Species.
Ecology and evolution, 16:e73367.
Gut microbiota provide various benefits to their mammalian hosts; however, knowledge regarding interspecific differences in gut microecology remains limited. This study employed 16S rRNA sequencing combined with metagenomic functional prediction (potential functions or functional potential) to conduct a comparative analysis of the gut microbial composition and functional adaptability of two sympatrically distributed gerbil species with distinct diets: the herbivorous Rhombomys opimus (RO) and the omnivorous Meriones meridianus (MM). The results revealed that the omnivorous MM exhibited a level of gut microbial alpha diversity comparable to that of the herbivorous RO, whereas RO showed significant enrichment of norank_f__Muribaculaceae, a taxon associated with fiber degradation, and demonstrated higher abundance of genes related to complex fiber degradation. Notably, bacterial genera significantly enriched in the gut of MM, such as Lachnospiraceae_NK4A136_group and Desulfovibrio, may play important roles in maintaining gut health and enhancing chitin degradation efficiency. Furthermore, the abundance of genes related to monosaccharide and chitin degradation was significantly higher in MM than in RO. Functional network analysis indicated that the cellulose degradation gene networks in both gerbil species were predominantly synergistic, but the synergistic effect was stronger in RO than in MM (ratios of positive to negative correlation edges: 2.44: 1.59). Further analysis revealed that the monosaccharide and chitin degradation gene networks in MM both exhibited synergistic interaction patterns (ratios of positive to negative correlation edges: 1.69 and 2.95, respectively), whereas these two networks in RO were primarily antagonistic (ratios of positive to negative correlation edges: 0.831 and 0.73, respectively). This suggests that the gut microbiota of RO are more conducive to digesting complex plant fibers, while those of MM are better adapted for digesting starch and chitin. This differentiation in gut microbiota optimizes the utilization of different food resources by the two species, thereby promoting their sympatric coexistence. This study enhances our understanding of the adaptive mechanisms of gut microecology in rodents with different diets and provides an important foundation for further research on the microbial ecology of wild rodents and the mechanisms underlying sympatric species coexistence.
Additional Links: PMID-42004407
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Citation:
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@article {pmid42004407,
year = {2026},
author = {Chu, D and Liu, N and Liu, Q and Li, X and Yang, H and Zhu, N and Liu, Z and Wang, R and Yuan, S and Fu, H},
title = {Diet-Driven Divergence in Gut Microbiota Variation Between Two Sympatric Gerbil Species.},
journal = {Ecology and evolution},
volume = {16},
number = {},
pages = {e73367},
pmid = {42004407},
issn = {2045-7758},
abstract = {Gut microbiota provide various benefits to their mammalian hosts; however, knowledge regarding interspecific differences in gut microecology remains limited. This study employed 16S rRNA sequencing combined with metagenomic functional prediction (potential functions or functional potential) to conduct a comparative analysis of the gut microbial composition and functional adaptability of two sympatrically distributed gerbil species with distinct diets: the herbivorous Rhombomys opimus (RO) and the omnivorous Meriones meridianus (MM). The results revealed that the omnivorous MM exhibited a level of gut microbial alpha diversity comparable to that of the herbivorous RO, whereas RO showed significant enrichment of norank_f__Muribaculaceae, a taxon associated with fiber degradation, and demonstrated higher abundance of genes related to complex fiber degradation. Notably, bacterial genera significantly enriched in the gut of MM, such as Lachnospiraceae_NK4A136_group and Desulfovibrio, may play important roles in maintaining gut health and enhancing chitin degradation efficiency. Furthermore, the abundance of genes related to monosaccharide and chitin degradation was significantly higher in MM than in RO. Functional network analysis indicated that the cellulose degradation gene networks in both gerbil species were predominantly synergistic, but the synergistic effect was stronger in RO than in MM (ratios of positive to negative correlation edges: 2.44: 1.59). Further analysis revealed that the monosaccharide and chitin degradation gene networks in MM both exhibited synergistic interaction patterns (ratios of positive to negative correlation edges: 1.69 and 2.95, respectively), whereas these two networks in RO were primarily antagonistic (ratios of positive to negative correlation edges: 0.831 and 0.73, respectively). This suggests that the gut microbiota of RO are more conducive to digesting complex plant fibers, while those of MM are better adapted for digesting starch and chitin. This differentiation in gut microbiota optimizes the utilization of different food resources by the two species, thereby promoting their sympatric coexistence. This study enhances our understanding of the adaptive mechanisms of gut microecology in rodents with different diets and provides an important foundation for further research on the microbial ecology of wild rodents and the mechanisms underlying sympatric species coexistence.},
}
RevDate: 2026-04-20
CmpDate: 2026-04-20
Metagenomic survey of fungal communities in compost from dairy plant wastewater sludge and garden trimmings.
Biodiversity data journal, 14:e174893.
BACKGROUND: Composting converts organic residues into stable organic matter and nutrients under aerobic conditions, improving soil properties and microbiome balance, while mitigating environmental impacts. Although microbiomes of various compost types have been studied, information is still fragmented and often not tailored to specific raw material combinations. In particular, little is known about the fungal communities involved in composting dairy plant wastewater sludge mixed with garden trimmings. This data paper contributes to filling that gap by providing a comprehensive taxonomic inventory.
NEW INFORMATION: We provide a fungus-focused dataset from 18 compost samples generated from a 1:1 (w/w) mix of garden trimmings and dairy plant wastewater sludge, collected at three process stages (thermophilic start/end; mid-cooling and maturation) under two turning regimes. Shotgun metagenomes were taxonomically annotated against NCBI taxonomy (accessed 19 Feb 2025). Only Fungi were detected within Eukarya, spanning nine phyla; Ascomycota (60.8%), Mucoromycota (17.76%), Basidiomycota (8.50%) and Chytridiomycota (7.21%) comprised 94.27% of the taxonomic features. We report 417 genera (13 >1% relative abundance each); top: Aspergillus (17.93%), Rhizopus (8.61%), Chaetomium (4.83%), Aureobasidium (3.09%), Madurella (2.85%), Paramicrosporidium (2.71%), Rhizophagus (1.88%), Rasamsonia (1.81%), Hyaloraphidium (1.39%), Thermochaetoides (1.31%), Talaromyces (1.19%), Trichoderma (1.15%), Podospora (1.06%) comprised 49.81% of the taxonomic feature abundance. Overall 663 taxa were identified (578 species, 416 genera, 230 families, 106 orders, 48 classes and 9 phyla). The dataset (DwCA; 663 occurrences) is intended to serve as a reference for compost mycobiomes and will be available via GBIF (DOI 10.15468/nmpzwr).
Additional Links: PMID-42004633
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@article {pmid42004633,
year = {2026},
author = {Monjardino, P and Azevedo, AR and Mendonça, D and Pozsgai, G and Borges, PAV and Frias, J and Toubarro, D},
title = {Metagenomic survey of fungal communities in compost from dairy plant wastewater sludge and garden trimmings.},
journal = {Biodiversity data journal},
volume = {14},
number = {},
pages = {e174893},
pmid = {42004633},
issn = {1314-2828},
abstract = {BACKGROUND: Composting converts organic residues into stable organic matter and nutrients under aerobic conditions, improving soil properties and microbiome balance, while mitigating environmental impacts. Although microbiomes of various compost types have been studied, information is still fragmented and often not tailored to specific raw material combinations. In particular, little is known about the fungal communities involved in composting dairy plant wastewater sludge mixed with garden trimmings. This data paper contributes to filling that gap by providing a comprehensive taxonomic inventory.
NEW INFORMATION: We provide a fungus-focused dataset from 18 compost samples generated from a 1:1 (w/w) mix of garden trimmings and dairy plant wastewater sludge, collected at three process stages (thermophilic start/end; mid-cooling and maturation) under two turning regimes. Shotgun metagenomes were taxonomically annotated against NCBI taxonomy (accessed 19 Feb 2025). Only Fungi were detected within Eukarya, spanning nine phyla; Ascomycota (60.8%), Mucoromycota (17.76%), Basidiomycota (8.50%) and Chytridiomycota (7.21%) comprised 94.27% of the taxonomic features. We report 417 genera (13 >1% relative abundance each); top: Aspergillus (17.93%), Rhizopus (8.61%), Chaetomium (4.83%), Aureobasidium (3.09%), Madurella (2.85%), Paramicrosporidium (2.71%), Rhizophagus (1.88%), Rasamsonia (1.81%), Hyaloraphidium (1.39%), Thermochaetoides (1.31%), Talaromyces (1.19%), Trichoderma (1.15%), Podospora (1.06%) comprised 49.81% of the taxonomic feature abundance. Overall 663 taxa were identified (578 species, 416 genera, 230 families, 106 orders, 48 classes and 9 phyla). The dataset (DwCA; 663 occurrences) is intended to serve as a reference for compost mycobiomes and will be available via GBIF (DOI 10.15468/nmpzwr).},
}
RevDate: 2026-04-20
CmpDate: 2026-04-20
Fungal Infections in Pediatric Patients With Hematologic Malignancies and Stem Cell Transplantation: Impact on the Upper and Lower Respiratory Systems.
The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2026:8766717.
Invasive fungal infections (IFIs) are a leading cause of morbidity and mortality in children with hematological malignancies as well as those undergoing hematopoietic stem cell transplantation (HSCT). Extreme immunological dysregulation secondary to severe neutropenia, T-cell lymphopenia, graft-versus-host disease (GVHD), intensive chemotherapy regimens, and conditioning therapy for HSCT, as well as primary immunodeficiencies (PIDs), render these patients highly susceptible to both opportunistic and pathogenic fungal infections. Despite advances in antifungal drugs and diagnostic tools, it is very difficult in these children to provide timely diagnosis and optimal management of IFIs because of the nonspecific clinical manifestations, the invasiveness of present diagnostic modalities in pediatric patients, and biomarker kinetics differences in various pediatric age groups, along with a lack of incorporation of immunological-pharmacological maturity-associated variability in the existing scoring systems borrowed from adults. This narrative review provides a comprehensive and contemporary assessment of the epidemiology, host-related risk factors, clinical presentations, diagnostic criteria, and management practices for IFIs in children with hematological malignancies and following HSCT. It also highlights the role of EORTC/MSGERC criteria in defining IFIs as probable, proven, and possible infections and explores the sensitivity and specificity of noninvasive methods such as the galactomannan index, polymerase chain reaction (PCR), ß-D-glucan assay, high-resolution CT scans (HRCTs), and the latest approaches including next-generation sequencing (NGS) and metagenomics. This review points out significant gaps in pediatric research studies and supports efforts to optimize healthcare use with risk-prediction models rather than just relying on current algorithms.
Additional Links: PMID-42004896
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@article {pmid42004896,
year = {2026},
author = {Pourghasem, M and Tabatabaii, SA and Modarresi, SZ and Jafari Nodoushan, A and Fadavi, N and Soflaee, M and Hosseini Vajari, A and Khazaii, F and Shahhosseini, B and Fakhimi Derakhshan, K and Sadat Mansouri, S},
title = {Fungal Infections in Pediatric Patients With Hematologic Malignancies and Stem Cell Transplantation: Impact on the Upper and Lower Respiratory Systems.},
journal = {The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale},
volume = {2026},
number = {},
pages = {8766717},
pmid = {42004896},
issn = {1712-9532},
abstract = {Invasive fungal infections (IFIs) are a leading cause of morbidity and mortality in children with hematological malignancies as well as those undergoing hematopoietic stem cell transplantation (HSCT). Extreme immunological dysregulation secondary to severe neutropenia, T-cell lymphopenia, graft-versus-host disease (GVHD), intensive chemotherapy regimens, and conditioning therapy for HSCT, as well as primary immunodeficiencies (PIDs), render these patients highly susceptible to both opportunistic and pathogenic fungal infections. Despite advances in antifungal drugs and diagnostic tools, it is very difficult in these children to provide timely diagnosis and optimal management of IFIs because of the nonspecific clinical manifestations, the invasiveness of present diagnostic modalities in pediatric patients, and biomarker kinetics differences in various pediatric age groups, along with a lack of incorporation of immunological-pharmacological maturity-associated variability in the existing scoring systems borrowed from adults. This narrative review provides a comprehensive and contemporary assessment of the epidemiology, host-related risk factors, clinical presentations, diagnostic criteria, and management practices for IFIs in children with hematological malignancies and following HSCT. It also highlights the role of EORTC/MSGERC criteria in defining IFIs as probable, proven, and possible infections and explores the sensitivity and specificity of noninvasive methods such as the galactomannan index, polymerase chain reaction (PCR), ß-D-glucan assay, high-resolution CT scans (HRCTs), and the latest approaches including next-generation sequencing (NGS) and metagenomics. This review points out significant gaps in pediatric research studies and supports efforts to optimize healthcare use with risk-prediction models rather than just relying on current algorithms.},
}
RevDate: 2026-04-20
CmpDate: 2026-04-20
Microbial community characterization in semi-hydroponic systems of Starbor kale (Brassica oleracea L.) grown under normal gravity and simulated microgravity.
Current research in microbial sciences, 10:100592.
Kale is a member of the Brassicaceae family and contains a range of beneficial compounds. Given the global context of climate change, various vegetable production systems using advanced technologies, such as hydroponics, are being explored to alleviate food insecurity. Herein, we characterized the comprehensive microbial community associated with Starbor kale cultivation systems under normal gravity and simulated microgravity in coco coir, representing an innovative approach compared to previous studies. The kale seedlings were planted in growth vessels set into custom 2D clinostats and placed in a CONVIRON growth chamber for 43 days. The microbial DNA from coco-coir and root samples of grown kale was extracted and subjected to shotgun metagenomic sequencing. Comparisons between components revealed a higher abundance of bacteria in the soilless, while the kale roots were dominated by Eukaryota and archaea. The phyla Pseudomonadota and Actinomycetota were highly prevalent across all samples, with relatively high abundance in the coco coir samples from horizontal clinostats (HCR) under simulated gravity and from rotating vertical clinostats (VCR). The HCR group was associated with the highest number of biomarkers (28). Both CAZymes, glycoside hydrolases and carbohydrate esterases, exhibited higher relative abundances in the coco coir samples under normal gravity, whereas carbohydrate-binding modules were more abundant in HCR and VCR. The root samples showed much higher abundances of polysaccharide lyases (ranging from 0.00088 to 0.00097) and carbohydrate esterases (ranging from 0.030 to 0.033). The top four prevalent antibiotic resistance genes were adeF, vanY, vanT, and qacG. The findings of this investigation are crucial for the cultivation of kale and leafy green agriculture in hydroponic systems.
Additional Links: PMID-42005541
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@article {pmid42005541,
year = {2026},
author = {Naitchede, LHS and Ihearahu, OC and Saha, K and Igwe, DO and Yan, J and Osano, AA and Ray, S and Ude, G},
title = {Microbial community characterization in semi-hydroponic systems of Starbor kale (Brassica oleracea L.) grown under normal gravity and simulated microgravity.},
journal = {Current research in microbial sciences},
volume = {10},
number = {},
pages = {100592},
pmid = {42005541},
issn = {2666-5174},
abstract = {Kale is a member of the Brassicaceae family and contains a range of beneficial compounds. Given the global context of climate change, various vegetable production systems using advanced technologies, such as hydroponics, are being explored to alleviate food insecurity. Herein, we characterized the comprehensive microbial community associated with Starbor kale cultivation systems under normal gravity and simulated microgravity in coco coir, representing an innovative approach compared to previous studies. The kale seedlings were planted in growth vessels set into custom 2D clinostats and placed in a CONVIRON growth chamber for 43 days. The microbial DNA from coco-coir and root samples of grown kale was extracted and subjected to shotgun metagenomic sequencing. Comparisons between components revealed a higher abundance of bacteria in the soilless, while the kale roots were dominated by Eukaryota and archaea. The phyla Pseudomonadota and Actinomycetota were highly prevalent across all samples, with relatively high abundance in the coco coir samples from horizontal clinostats (HCR) under simulated gravity and from rotating vertical clinostats (VCR). The HCR group was associated with the highest number of biomarkers (28). Both CAZymes, glycoside hydrolases and carbohydrate esterases, exhibited higher relative abundances in the coco coir samples under normal gravity, whereas carbohydrate-binding modules were more abundant in HCR and VCR. The root samples showed much higher abundances of polysaccharide lyases (ranging from 0.00088 to 0.00097) and carbohydrate esterases (ranging from 0.030 to 0.033). The top four prevalent antibiotic resistance genes were adeF, vanY, vanT, and qacG. The findings of this investigation are crucial for the cultivation of kale and leafy green agriculture in hydroponic systems.},
}
RevDate: 2026-04-20
Unveiling pathogens and contaminants: refining metagenomics for clinical diagnostics.
Frontiers in microbiology, 17:1786985.
INTRODUCTION: Shotgun metagenomic sequencing (mNGS), an untargeted approach that sequences all nucleic acids in a sample, has emerged as a powerful tool for pathogen detection and genome characterization. However, its implementation in clinical diagnostics remains limited due to technical challenges such as contamination and reduces sensitivity, especially in low-biomass samples.
METHODS: We applied mNGS to 144 clinical samples representing chronic infections, acute infections, and respiratory co-infections. To address contamination, we established a framework integrating negative controls, lab-specific contaminant watchlists, and computational filtering. Viral detection performance and genome recovery were assessed across sample types and viral loads.
RESULTS: Viral load was shown to be the primary determinant of sensitivity, with reliable recovery achieved only at higher titers. Our framework substantially improved contamination management, reducing false-positive signals and enhancing viral genome recovery. mNGS enabled the detection of clinically relevant co-infections and refined viral classification beyond targeted diagnostics, while also revealing the substantial risk of spurious detections in the absence of contamination-aware workflows.
DISCUSSION: These findings define practical sensitivity thresholds for clinical mNGS and underscore the need for contamination-aware workflows, particularly for low-biomass samples, while providing an open-source contaminants watchlist that enhances reliability and utility of clinical metagenomics.
Additional Links: PMID-42005844
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Citation:
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@article {pmid42005844,
year = {2026},
author = {Ibañez-Lligoña, M and Colomer-Castell, S and Campos, C and González-Camuesco, Á and Llauradó, A and Garcia-Larroy, J and Sánchez-Tejerina, D and Rando-Segura, A and Andrés, C and Esperalba, J and Nadal, P and Ferrer, R and Cortese, MF and Tabernero, D and Gregori, J and Riveiro-Barciela, M and Ruiz-Cobo, JC and Ruiz, A and Del Barco, E and Buti, M and Goya, M and Antón, A and Cano, A and Juntas-Morales, R and Quer, J},
title = {Unveiling pathogens and contaminants: refining metagenomics for clinical diagnostics.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1786985},
pmid = {42005844},
issn = {1664-302X},
abstract = {INTRODUCTION: Shotgun metagenomic sequencing (mNGS), an untargeted approach that sequences all nucleic acids in a sample, has emerged as a powerful tool for pathogen detection and genome characterization. However, its implementation in clinical diagnostics remains limited due to technical challenges such as contamination and reduces sensitivity, especially in low-biomass samples.
METHODS: We applied mNGS to 144 clinical samples representing chronic infections, acute infections, and respiratory co-infections. To address contamination, we established a framework integrating negative controls, lab-specific contaminant watchlists, and computational filtering. Viral detection performance and genome recovery were assessed across sample types and viral loads.
RESULTS: Viral load was shown to be the primary determinant of sensitivity, with reliable recovery achieved only at higher titers. Our framework substantially improved contamination management, reducing false-positive signals and enhancing viral genome recovery. mNGS enabled the detection of clinically relevant co-infections and refined viral classification beyond targeted diagnostics, while also revealing the substantial risk of spurious detections in the absence of contamination-aware workflows.
DISCUSSION: These findings define practical sensitivity thresholds for clinical mNGS and underscore the need for contamination-aware workflows, particularly for low-biomass samples, while providing an open-source contaminants watchlist that enhances reliability and utility of clinical metagenomics.},
}
RevDate: 2026-04-20
The chromosomal genome sequence of the marine sponge Diacarnus erythraeanus Kelly-Borges & Vacelet, 1995, and its associated microbial metagenome sequences.
Wellcome open research, 10:466.
We present a genome assembly from an individual Diacarnus erythraeanus (sponge; Porifera; Demospongiae; Poecilosclerida; Podospongiidae). The genome sequence has a total length of 140.86 megabases. Most of the assembly (98.57%) is scaffolded into 18 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 19.34 kilobases in length. Sixty-four binned genomes were generated from the metagenome assembly, of which 46 were classified as high-quality metagenome assembled genomes (MAGs). The microbial signature is typical of HMA sponges, including the Pseudomonadota, Chloroflexota and Acidobacteriota as dominant phyla and several candidate phyla (Poribacteria, Binatota, Latescibacterota) as well as the archaeal clade Nitrosopumilaceae in lower abundance.
Additional Links: PMID-42005864
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@article {pmid42005864,
year = {2025},
author = {Steindler, L and Durán Canché, MA and Ilan, M and Bar-Shalom, R and Lopez, JV and Hentschel, U 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 marine sponge Diacarnus erythraeanus Kelly-Borges & Vacelet, 1995, and its associated microbial metagenome sequences.},
journal = {Wellcome open research},
volume = {10},
number = {},
pages = {466},
doi = {10.12688/wellcomeopenres.24763.2},
pmid = {42005864},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual Diacarnus erythraeanus (sponge; Porifera; Demospongiae; Poecilosclerida; Podospongiidae). The genome sequence has a total length of 140.86 megabases. Most of the assembly (98.57%) is scaffolded into 18 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 19.34 kilobases in length. Sixty-four binned genomes were generated from the metagenome assembly, of which 46 were classified as high-quality metagenome assembled genomes (MAGs). The microbial signature is typical of HMA sponges, including the Pseudomonadota, Chloroflexota and Acidobacteriota as dominant phyla and several candidate phyla (Poribacteria, Binatota, Latescibacterota) as well as the archaeal clade Nitrosopumilaceae in lower abundance.},
}
RevDate: 2026-04-20
Challenges in early detection and prognostication of sepsis: new approaches from the emergency department and intensive care unit.
EClinicalMedicine, 94:103864.
In this narrative review, we aimed to provide a comprehensive overview of emerging diagnostic strategies and precision medicine approaches in sepsis, while explicitly acknowledging the heterogeneity of clinical contexts. In the Emergency Department (ED), timely recognition of infection and sepsis represents one of the most frequent and challenging tasks, which may delay management directly increasing morbidity and mortality. Even if very popular and widely used, traditional scores and routine biomarkers remain of limited interest to confirm diagnosis and predict deterioration. Nevertheless, emerging point-of-care tools hold promise such as "real-time microbiology", bedside immune profiling, and echocardiography for on-time hemodynamic phenotyping. More advanced strategies, such as omics technologies and transcriptomic signatures, offer deeper biological precision, while machine learning and artificial intelligence can integrate high-dimensional ED data to anticipate deterioration and capture the dynamic evolution of sepsis subphenotypes. Many of these tools are already feasible at the bedside and only await integration into routine ED workflows. Embedding them within dedicated sepsis pathways and multidisciplinary teams could optimize global patient care and accelerate the transition toward precision medicine in acute sepsis. Sustainable improvements in sepsis outcomes will most likely not come from isolated devices but from their integration into coordinated and sepsis-specific pathways.
Additional Links: PMID-42005923
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@article {pmid42005923,
year = {2026},
author = {Lafon, T and Weingart, M and Vaidie, J and Calfee, CS and Jacob, ST and Freund, Y and Shapiro, NI and Barraud, O and Monneret, G and van der Poll, T and Fromage, Y and François, B},
title = {Challenges in early detection and prognostication of sepsis: new approaches from the emergency department and intensive care unit.},
journal = {EClinicalMedicine},
volume = {94},
number = {},
pages = {103864},
pmid = {42005923},
issn = {2589-5370},
abstract = {In this narrative review, we aimed to provide a comprehensive overview of emerging diagnostic strategies and precision medicine approaches in sepsis, while explicitly acknowledging the heterogeneity of clinical contexts. In the Emergency Department (ED), timely recognition of infection and sepsis represents one of the most frequent and challenging tasks, which may delay management directly increasing morbidity and mortality. Even if very popular and widely used, traditional scores and routine biomarkers remain of limited interest to confirm diagnosis and predict deterioration. Nevertheless, emerging point-of-care tools hold promise such as "real-time microbiology", bedside immune profiling, and echocardiography for on-time hemodynamic phenotyping. More advanced strategies, such as omics technologies and transcriptomic signatures, offer deeper biological precision, while machine learning and artificial intelligence can integrate high-dimensional ED data to anticipate deterioration and capture the dynamic evolution of sepsis subphenotypes. Many of these tools are already feasible at the bedside and only await integration into routine ED workflows. Embedding them within dedicated sepsis pathways and multidisciplinary teams could optimize global patient care and accelerate the transition toward precision medicine in acute sepsis. Sustainable improvements in sepsis outcomes will most likely not come from isolated devices but from their integration into coordinated and sepsis-specific pathways.},
}
RevDate: 2026-04-20
Strength of Omics in Uncovering Sepsis Mechanisms-A Perspective.
Current health sciences journal, 51(4):425-436.
BACKGROUND: Sepsis is a significant life-threatening condition due to a dysregulated response to infection. Large datasets yield unprecedented views and transformative insights into processes through various computational frameworks. Our aim was to highlight significant contributions from genomics, transcriptomics, proteomics in the field of sepsis, as modeled from human data. We are showcasing key findings in each omics that have improved the understanding of sepsis pathophysiology, while presenting a perspective from the group's own contribution to the field.
DISCUSSION AND CONCLUSIONS: Each of the presented omics has advanced our mechanistic understanding on sepsis pathogenicity, biomarker identification for diagnosis, prognosis, and molecular stratification purposes. Multi-omics sepsis research shows strong input from genomics, transcriptomics, proteomics. These have revealed mechanistic links and produce robust endotypes but faces challenges on the path to clinical integration. Integrative sepsis studies combine large-scale omics, paired sampling, and computational multi-omics frameworks to link molecular layers to phenotype. Addressing gaps in standardization, and age/ethnicity representation could yield actionable biomarkers, stratified therapies and improved outcomes.
Additional Links: PMID-42006114
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@article {pmid42006114,
year = {2025},
author = {Dorobantu, S and Grigorescu, A and Fratea, A and Mirauta, B and Neghina, A and Bica, G and Neacsu, A and Dumitrescu, F and Streata, I and Netea, M and Riza, AL},
title = {Strength of Omics in Uncovering Sepsis Mechanisms-A Perspective.},
journal = {Current health sciences journal},
volume = {51},
number = {4},
pages = {425-436},
pmid = {42006114},
issn = {2067-0656},
abstract = {BACKGROUND: Sepsis is a significant life-threatening condition due to a dysregulated response to infection. Large datasets yield unprecedented views and transformative insights into processes through various computational frameworks. Our aim was to highlight significant contributions from genomics, transcriptomics, proteomics in the field of sepsis, as modeled from human data. We are showcasing key findings in each omics that have improved the understanding of sepsis pathophysiology, while presenting a perspective from the group's own contribution to the field.
DISCUSSION AND CONCLUSIONS: Each of the presented omics has advanced our mechanistic understanding on sepsis pathogenicity, biomarker identification for diagnosis, prognosis, and molecular stratification purposes. Multi-omics sepsis research shows strong input from genomics, transcriptomics, proteomics. These have revealed mechanistic links and produce robust endotypes but faces challenges on the path to clinical integration. Integrative sepsis studies combine large-scale omics, paired sampling, and computational multi-omics frameworks to link molecular layers to phenotype. Addressing gaps in standardization, and age/ethnicity representation could yield actionable biomarkers, stratified therapies and improved outcomes.},
}
RevDate: 2026-04-20
CmpDate: 2026-04-20
Administration of bifidobacteria and dietary fiber improves cognitive function by increasing short-chain fatty acid-producing bacteria and reducing inflammation.
Bioscience of microbiota, food and health, 45(2):139-148.
Bifidobacterium animalis subsp. lactis GCL2505 (GCL2505), commercially known as the "BifiX" strain in Japan, reaches the intestine alive, proliferates after a single intake, and is associated with several positive health effects. A randomized, double-blind, placebo-controlled, parallel-group clinical trial of this probiotic strain in combination with inulin (a prebiotic) reported an improvement of cognitive function in the elderly. In the present study, a follow-up analysis was performed to elucidate the underlying mechanism, using a multi-omics approach that integrated a high-throughput assay of blood inflammatory markers and metagenomic analysis of the fecal bacterial composition. After probiotic and prebiotic administration, short-chain fatty acid producers such as Faecalibacterium and Bifidobacterium were increased in the gut. Moreover, in the subgroup with greater improvement in cognitive function scores, the levels of inflammatory markers were decreased. Subgroup analysis revealed that the improvement of cognitive function was associated with a reduction of inflammation and an increase of Faecalibacterium. These results suggest that GCL2505 and inulin can improve cognitive function by alleviating inflammation via an increase of short-chain fatty acid-producing bacteria, which appears to elevate levels of short-chain fatty acids, particularly acetate and butyrate, in the gut. The present results contribute to a deeper comprehension of the gut-brain axis and propose new avenues for potential therapeutic intervention in cognitive disorders.
Additional Links: PMID-42006125
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@article {pmid42006125,
year = {2026},
author = {Azuma, N and Wada, N and Aoki, R and Sampei, M and Mawatari, T and Saito, Y},
title = {Administration of bifidobacteria and dietary fiber improves cognitive function by increasing short-chain fatty acid-producing bacteria and reducing inflammation.},
journal = {Bioscience of microbiota, food and health},
volume = {45},
number = {2},
pages = {139-148},
pmid = {42006125},
issn = {2186-6953},
abstract = {Bifidobacterium animalis subsp. lactis GCL2505 (GCL2505), commercially known as the "BifiX" strain in Japan, reaches the intestine alive, proliferates after a single intake, and is associated with several positive health effects. A randomized, double-blind, placebo-controlled, parallel-group clinical trial of this probiotic strain in combination with inulin (a prebiotic) reported an improvement of cognitive function in the elderly. In the present study, a follow-up analysis was performed to elucidate the underlying mechanism, using a multi-omics approach that integrated a high-throughput assay of blood inflammatory markers and metagenomic analysis of the fecal bacterial composition. After probiotic and prebiotic administration, short-chain fatty acid producers such as Faecalibacterium and Bifidobacterium were increased in the gut. Moreover, in the subgroup with greater improvement in cognitive function scores, the levels of inflammatory markers were decreased. Subgroup analysis revealed that the improvement of cognitive function was associated with a reduction of inflammation and an increase of Faecalibacterium. These results suggest that GCL2505 and inulin can improve cognitive function by alleviating inflammation via an increase of short-chain fatty acid-producing bacteria, which appears to elevate levels of short-chain fatty acids, particularly acetate and butyrate, in the gut. The present results contribute to a deeper comprehension of the gut-brain axis and propose new avenues for potential therapeutic intervention in cognitive disorders.},
}
RevDate: 2026-04-20
CmpDate: 2026-04-20
Clinical features and prognostic factors of Chlamydia psittaci pneumonia: a retrospective study.
Frontiers in medicine, 13:1804156.
BACKGROUND: Chlamydia psittaci pneumonia (CPP) is frequently misdiagnosed and can progress to severe illness. A deeper understanding of its clinical and imaging features is crucial for early detection and effective treatment.
METHODS: This retrospective study analyzed 74 patients diagnosed with CPP via metagenomic (mNGS) and targeted next-generation sequencing (tNGS) between January 2022 and September 2025. Patients were categorized into severe (n = 21) and non-severe (n = 53) groups based on established criteria for severe community-acquired pneumonia. Data on demographics, clinical manifestations, laboratory findings, and imaging characteristics were collected and compared.
RESULTS: The cohort had a median age of 60 years, with a male predominance (62.2%). A history of poultry/bird exposure was reported by 87.8% of participants. Common symptoms included fever (94.6%), cough (63.5%), and fatigue (29.7%), with no significant differences between groups. Hospitalization was significantly longer in the severe group (12.95 ± 6.08 days) than in the non-severe group (8.13 ± 3.30 days) (p < 0.001). Chest CT revealed consolidation and ground-glass opacities in all patients. Pleural effusion was significantly more common in the severe group (76.2% vs. 45.3%, p = 0.016), as was bilateral lung involvement (52.4% vs. 22.6%, p = 0.013). Multivariate analysis identified elevated D-dimer (OR = 2.737, p = 0.007) and reduced lymphocyte percentage (L%) (OR = 0.813, p = 0.026) as independent predictors of severe disease. ROC curve analysis showed an AUC of 0.765 for D-dimer and 0.739 for L% reduction. Following tetracycline or quinolone therapy, 94.6% of patients recovered, with an overall mortality rate of 5.4%.
CONCLUSION: Severe CPP is associated with prolonged hospitalization, bilateral pulmonary infiltrates, and pleural effusion. D-dimer and lymphocyte percentage are valuable prognostic indicators for disease severity. Early targeted antibiotic therapy is effective, but timely respiratory support is critical for severe cases.
Additional Links: PMID-42006869
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@article {pmid42006869,
year = {2026},
author = {Li, Y and Zhu, H and Zhan, Z and Li, G and Zhou, Q and Zheng, C and Huang, F},
title = {Clinical features and prognostic factors of Chlamydia psittaci pneumonia: a retrospective study.},
journal = {Frontiers in medicine},
volume = {13},
number = {},
pages = {1804156},
pmid = {42006869},
issn = {2296-858X},
abstract = {BACKGROUND: Chlamydia psittaci pneumonia (CPP) is frequently misdiagnosed and can progress to severe illness. A deeper understanding of its clinical and imaging features is crucial for early detection and effective treatment.
METHODS: This retrospective study analyzed 74 patients diagnosed with CPP via metagenomic (mNGS) and targeted next-generation sequencing (tNGS) between January 2022 and September 2025. Patients were categorized into severe (n = 21) and non-severe (n = 53) groups based on established criteria for severe community-acquired pneumonia. Data on demographics, clinical manifestations, laboratory findings, and imaging characteristics were collected and compared.
RESULTS: The cohort had a median age of 60 years, with a male predominance (62.2%). A history of poultry/bird exposure was reported by 87.8% of participants. Common symptoms included fever (94.6%), cough (63.5%), and fatigue (29.7%), with no significant differences between groups. Hospitalization was significantly longer in the severe group (12.95 ± 6.08 days) than in the non-severe group (8.13 ± 3.30 days) (p < 0.001). Chest CT revealed consolidation and ground-glass opacities in all patients. Pleural effusion was significantly more common in the severe group (76.2% vs. 45.3%, p = 0.016), as was bilateral lung involvement (52.4% vs. 22.6%, p = 0.013). Multivariate analysis identified elevated D-dimer (OR = 2.737, p = 0.007) and reduced lymphocyte percentage (L%) (OR = 0.813, p = 0.026) as independent predictors of severe disease. ROC curve analysis showed an AUC of 0.765 for D-dimer and 0.739 for L% reduction. Following tetracycline or quinolone therapy, 94.6% of patients recovered, with an overall mortality rate of 5.4%.
CONCLUSION: Severe CPP is associated with prolonged hospitalization, bilateral pulmonary infiltrates, and pleural effusion. D-dimer and lymphocyte percentage are valuable prognostic indicators for disease severity. Early targeted antibiotic therapy is effective, but timely respiratory support is critical for severe cases.},
}
RevDate: 2026-04-20
Case Report: A case of refractory tuberculous peritonitis mimicking and complicating suspected encapsulating peritoneal sclerosis in a long-term peritoneal dialysis patient.
Frontiers in medicine, 13:1777805.
BACKGROUND: Tuberculous peritonitis (TBP) is a rare but severe complication in peritoneal dialysis (PD) patients, often presenting with non-specific symptoms. Its diagnosis is particularly challenging in patients with pre-existing or co-existing peritoneal pathology, such as changes suggestive of encapsulating peritoneal sclerosis (EPS).
CASE PRESENTATION: A 59-year-old male on PD for 14 years with no prior history of peritonitis presented with recurrent abdominal pain, fever, and cloudy effluent, following a recent episode of Staphylococcus caprae peritonitis. Initial contrast-enhanced computed tomography (CT) revealed diffuse peritoneal thickening, omental "caking," and localized ascites, raising strong suspicion for EPS. However, the patient's condition relapsed despite broad-spectrum antibiotic therapy. Metagenomic next-generation sequencing (mNGS) of peritoneal fluid definitively identified Mycobacterium tuberculosis complex. The diagnosis was thus revised to TBP manifesting with secondary peritoneal inflammatory changes mimicking EPS. Management involved laparoscopic PD catheter removal, transition to hemodialysis, and initiation of a renal-adjusted anti-tuberculous regimen (levofloxacin and linezolid), leading to gradual clinical and biochemical improvement.
CONCLUSION: This case highlights that TBP can clinically and radiologically mimic EPS in long-term PD patients, leading to diagnostic delay. High clinical suspicion and the utilization of advanced molecular diagnostics like mNGS are crucial for accurate diagnosis. Catheter removal combined with appropriate anti-tuberculous therapy forms the cornerstone of management in such complex scenarios.
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@article {pmid42006894,
year = {2026},
author = {Cui, T and Huang, M},
title = {Case Report: A case of refractory tuberculous peritonitis mimicking and complicating suspected encapsulating peritoneal sclerosis in a long-term peritoneal dialysis patient.},
journal = {Frontiers in medicine},
volume = {13},
number = {},
pages = {1777805},
pmid = {42006894},
issn = {2296-858X},
abstract = {BACKGROUND: Tuberculous peritonitis (TBP) is a rare but severe complication in peritoneal dialysis (PD) patients, often presenting with non-specific symptoms. Its diagnosis is particularly challenging in patients with pre-existing or co-existing peritoneal pathology, such as changes suggestive of encapsulating peritoneal sclerosis (EPS).
CASE PRESENTATION: A 59-year-old male on PD for 14 years with no prior history of peritonitis presented with recurrent abdominal pain, fever, and cloudy effluent, following a recent episode of Staphylococcus caprae peritonitis. Initial contrast-enhanced computed tomography (CT) revealed diffuse peritoneal thickening, omental "caking," and localized ascites, raising strong suspicion for EPS. However, the patient's condition relapsed despite broad-spectrum antibiotic therapy. Metagenomic next-generation sequencing (mNGS) of peritoneal fluid definitively identified Mycobacterium tuberculosis complex. The diagnosis was thus revised to TBP manifesting with secondary peritoneal inflammatory changes mimicking EPS. Management involved laparoscopic PD catheter removal, transition to hemodialysis, and initiation of a renal-adjusted anti-tuberculous regimen (levofloxacin and linezolid), leading to gradual clinical and biochemical improvement.
CONCLUSION: This case highlights that TBP can clinically and radiologically mimic EPS in long-term PD patients, leading to diagnostic delay. High clinical suspicion and the utilization of advanced molecular diagnostics like mNGS are crucial for accurate diagnosis. Catheter removal combined with appropriate anti-tuberculous therapy forms the cornerstone of management in such complex scenarios.},
}
RevDate: 2026-04-20
CmpDate: 2026-04-20
A responder-informed gut microbial consortium enhances anti-PD-1 efficacy in a mouse cancer model.
Microbiome research reports, 5(1):2.
Aim: Immune checkpoint inhibitors (ICIs), particularly anti-programmed cell death protein 1 (PD-1) therapy, have improved cancer treatment outcomes, yet durable benefit is achieved in only a subset of patients. Growing evidence implicates the gut microbiome as a modulator of ICI responsiveness, but defined and experimentally validated microbial strategies remain limited. This study aimed to identify responder-associated gut microbes and to evaluate a defined bacterial consortium for enhancing PD-1 blockade efficacy. Methods: Publicly available shotgun metagenomic datasets from anti-PD-1-treated cancer patients were re-analyzed to compare gut microbiome profiles between responders and non-responders. Bacterial taxa reproducibly enriched in responders were selected based on consistency across analytical criteria and cultivability and assembled into a four-strain consortium (UJ-04). The immune-adjuvant potential of UJ-04, alone or combined with anti-PD-1 therapy, was evaluated in a B16-F10 melanoma mouse model, with tumor growth and immune responses assessed by flow cytometry. Results: Metagenomic re-analysis identified four commensal bacterial taxa consistently enriched in responder patients, forming the defined UJ-04 consortium. While UJ-04 alone showed minimal antitumor activity, combination treatment with anti-PD-1 significantly enhanced tumor growth inhibition compared with anti-PD-1 monotherapy. This effect was accompanied by increased intratumoral CD8[+] T cells and natural killer cells, with concordant immune trends in peripheral compartments. Conclusion: A responder-informed, defined microbial consortium functionally translates clinical microbiome associations into in vivo validation and enhances PD-1 blockade efficacy by modulating host antitumor immunity. These findings support defined bacterial consortia as microbiome-based immunomodulatory adjuncts for immunotherapy.
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@article {pmid42007374,
year = {2026},
author = {Jeong, UJ and Ali, M and Park, YJ and You, JS and Yoon, SS},
title = {A responder-informed gut microbial consortium enhances anti-PD-1 efficacy in a mouse cancer model.},
journal = {Microbiome research reports},
volume = {5},
number = {1},
pages = {2},
pmid = {42007374},
issn = {2771-5965},
abstract = {Aim: Immune checkpoint inhibitors (ICIs), particularly anti-programmed cell death protein 1 (PD-1) therapy, have improved cancer treatment outcomes, yet durable benefit is achieved in only a subset of patients. Growing evidence implicates the gut microbiome as a modulator of ICI responsiveness, but defined and experimentally validated microbial strategies remain limited. This study aimed to identify responder-associated gut microbes and to evaluate a defined bacterial consortium for enhancing PD-1 blockade efficacy. Methods: Publicly available shotgun metagenomic datasets from anti-PD-1-treated cancer patients were re-analyzed to compare gut microbiome profiles between responders and non-responders. Bacterial taxa reproducibly enriched in responders were selected based on consistency across analytical criteria and cultivability and assembled into a four-strain consortium (UJ-04). The immune-adjuvant potential of UJ-04, alone or combined with anti-PD-1 therapy, was evaluated in a B16-F10 melanoma mouse model, with tumor growth and immune responses assessed by flow cytometry. Results: Metagenomic re-analysis identified four commensal bacterial taxa consistently enriched in responder patients, forming the defined UJ-04 consortium. While UJ-04 alone showed minimal antitumor activity, combination treatment with anti-PD-1 significantly enhanced tumor growth inhibition compared with anti-PD-1 monotherapy. This effect was accompanied by increased intratumoral CD8[+] T cells and natural killer cells, with concordant immune trends in peripheral compartments. Conclusion: A responder-informed, defined microbial consortium functionally translates clinical microbiome associations into in vivo validation and enhances PD-1 blockade efficacy by modulating host antitumor immunity. These findings support defined bacterial consortia as microbiome-based immunomodulatory adjuncts for immunotherapy.},
}
RevDate: 2026-04-20
Targeted metatranscriptomic detection of viruses from floors for simultaneous evaluation of respiratory disease burden and viral variant identification.
mSphere [Epub ahead of print].
UNLABELLED: Built environment surveillance is a proven approach for tracking disease burden of some viruses within hospitals and long-term care facilities. However, studies in clinical settings are lacking for simultaneously surveying targets in a built environment using targeted metatranscriptomics. We swabbed six discrete floor locations within an acute care center's emergency department (ED) in Ottawa, Canada, and sequenced cDNA using a 132 viral taxa panel, identifying viral burden across sampling locations and time. The determined SARS-CoV-2 variant profile across time was matched to provincial variant prevalence. The correlation between metatranscriptomic read abundances and reported cases of influenza A, SARS-CoV-2, and RSV was assessed. We quantified these via qPCR and assessed the correlation of Cq versus metatranscriptomic reads for these viruses. We sequenced a median of 1,302,882 reads per sample from 38 floor swabs collected during peak respiratory viral season (November 2022-February 2023). Diversity of viral communities varied significantly across locations in the ED. SARS-CoV-2 variant abundance shifts matched the changing infection landscape concurrently reported in Ontario. Relationships between targeted metatranscriptomic read ratios and clinical burden were not statistically significant, although we found modest correspondence between qPCR signal and read depth for RSV and SARS-CoV-2. This approach characterized the viral communities and the within-species diversity within an ED. Correlating sequencing-derived data with disease burden for three key respiratory viruses was inconsistent, with the exception of significant correlation between metatranscriptomic reads and Cq data for SARS-CoV-2. We were able to recover the distribution of clinically reported SARS-CoV-2 variants from the floor swab data.
IMPORTANCE: Environmental surveillance is useful for estimating the disease burden for certain viruses. qPCR is commonly used for surveillance of wastewater and built environments, including during the COVID-19 pandemic, but single, multiplexed reaction targets are limited. Targeted metagenomic or metatranscriptomic approaches can accurately quantify microbial populations of interest in an environment, reduce off-target sequencing, and evaluate a broader number of targets than qPCR assays. Here, we assessed the capacity of a targeted viral metatranscriptomic panel to correlate viral abundance in the hospital built environment with key pathogens of interest, including influenza A, RSV, and SARS-CoV-2. Our results suggest that targeted metatranscriptomics may identify viral communities in healthcare facilities, including strain-level detection capability. However, this approach must be validated for its effectiveness in viral surveillance that accurately reflects disease burden. This work contributes to a growing toolkit for pathogen surveillance, a critical endeavor to safeguard against outbreaks of known and emerging pathogens.
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@article {pmid42007699,
year = {2026},
author = {Carroll, AC and Hinz, A and Hicks, AMA and Khov, E and Van Bakel, T and Doukhanine, E and Fralick, M and Nott, C and Kassen, R and Thampi, N and Hug, LA and MacFadden, D and Wong, A},
title = {Targeted metatranscriptomic detection of viruses from floors for simultaneous evaluation of respiratory disease burden and viral variant identification.},
journal = {mSphere},
volume = {},
number = {},
pages = {e0008626},
doi = {10.1128/msphere.00086-26},
pmid = {42007699},
issn = {2379-5042},
abstract = {UNLABELLED: Built environment surveillance is a proven approach for tracking disease burden of some viruses within hospitals and long-term care facilities. However, studies in clinical settings are lacking for simultaneously surveying targets in a built environment using targeted metatranscriptomics. We swabbed six discrete floor locations within an acute care center's emergency department (ED) in Ottawa, Canada, and sequenced cDNA using a 132 viral taxa panel, identifying viral burden across sampling locations and time. The determined SARS-CoV-2 variant profile across time was matched to provincial variant prevalence. The correlation between metatranscriptomic read abundances and reported cases of influenza A, SARS-CoV-2, and RSV was assessed. We quantified these via qPCR and assessed the correlation of Cq versus metatranscriptomic reads for these viruses. We sequenced a median of 1,302,882 reads per sample from 38 floor swabs collected during peak respiratory viral season (November 2022-February 2023). Diversity of viral communities varied significantly across locations in the ED. SARS-CoV-2 variant abundance shifts matched the changing infection landscape concurrently reported in Ontario. Relationships between targeted metatranscriptomic read ratios and clinical burden were not statistically significant, although we found modest correspondence between qPCR signal and read depth for RSV and SARS-CoV-2. This approach characterized the viral communities and the within-species diversity within an ED. Correlating sequencing-derived data with disease burden for three key respiratory viruses was inconsistent, with the exception of significant correlation between metatranscriptomic reads and Cq data for SARS-CoV-2. We were able to recover the distribution of clinically reported SARS-CoV-2 variants from the floor swab data.
IMPORTANCE: Environmental surveillance is useful for estimating the disease burden for certain viruses. qPCR is commonly used for surveillance of wastewater and built environments, including during the COVID-19 pandemic, but single, multiplexed reaction targets are limited. Targeted metagenomic or metatranscriptomic approaches can accurately quantify microbial populations of interest in an environment, reduce off-target sequencing, and evaluate a broader number of targets than qPCR assays. Here, we assessed the capacity of a targeted viral metatranscriptomic panel to correlate viral abundance in the hospital built environment with key pathogens of interest, including influenza A, RSV, and SARS-CoV-2. Our results suggest that targeted metatranscriptomics may identify viral communities in healthcare facilities, including strain-level detection capability. However, this approach must be validated for its effectiveness in viral surveillance that accurately reflects disease burden. This work contributes to a growing toolkit for pathogen surveillance, a critical endeavor to safeguard against outbreaks of known and emerging pathogens.},
}
RevDate: 2026-04-18
Microbiome and plasmidome shifts drive carbon, nitrogen, and greenhouse gas dynamics within transitioning permafrost.
Environmental microbiome pii:10.1186/s40793-026-00892-w [Epub ahead of print].
Thermokarst lakes contribute to greenhouse gas emissions but often experience constraints on available nitrogen. However, the interactions between carbon and nitrogen cycles in these systems, especially along the terrestrial-aquatic continuum, remain poorly understood. The increased soil-water connectivity in those systems affects organic matter processing, nutrient availability, and microbial transport. In Nunavik (Quebec, Canada), we sampled along a transect from a palsa (permafrost remnant) through an emerging thermokarst lake to peatland soils and mature lake. Using hybrid metagenome co-assemblies with gene-, plasmid-, and genome-centric approaches, we explored key biogeochemical cycles and the role of plasmids in microbial adaptation along the transect. Gene annotation, metagenome-assembled genome (MAG) reconstruction, and network analysis revealed a shift from potential for anaerobic ammonium oxidation (anammox) in palsa and emerging lake to potential for nitrification in mature lake. Potential for methanogenesis transitions from hydrogenotrophic in the palsa to methylotrophic in lakes, likely driven by a bacterial consortium degrading aromatic, peat-derived compounds. Sediments may support methane production via both hydrogenotrophic and acetoclastic potential for methanogenesis, partially fueled by the action of polysaccharide lyases. Anaerobic methane oxidation (AOM) potential seems important in both peat and the mature lake; and can be coupled with nitrification and sulfate-reducing partners through extracellular electron transfer, with cytochromes playing a central role. Notably, plasmidome shifts preceded metagenomic changes, especially in genes related to carbon and methane cycling, suggesting a role for plasmids in microbial adaptation to permafrost thaw. These findings highlight the complex microbial and plasmid dynamics that drive carbon, nitrogen, and greenhouse gas cycles in permafrost ecosystems.
Additional Links: PMID-42001152
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@article {pmid42001152,
year = {2026},
author = {Leroy, M and Cyriaque, V and Rattei, T and Laurion, I and Comte, J},
title = {Microbiome and plasmidome shifts drive carbon, nitrogen, and greenhouse gas dynamics within transitioning permafrost.},
journal = {Environmental microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40793-026-00892-w},
pmid = {42001152},
issn = {2524-6372},
support = {2021-PR-284297//Fonds de recherche du Québec - Nature et technologie/ ; RGPIN-2020-06876//Natural Sciences and Engineering Research Council - Discovery and Northern Research Programs/ ; RGPIN-2020-06874//Natural Sciences and Engineering Research Council - Discovery and Northern Research Programs/ ; 2021-PR-284297//Fonds de recherche du Québec - Nature et technologies/ ; },
abstract = {Thermokarst lakes contribute to greenhouse gas emissions but often experience constraints on available nitrogen. However, the interactions between carbon and nitrogen cycles in these systems, especially along the terrestrial-aquatic continuum, remain poorly understood. The increased soil-water connectivity in those systems affects organic matter processing, nutrient availability, and microbial transport. In Nunavik (Quebec, Canada), we sampled along a transect from a palsa (permafrost remnant) through an emerging thermokarst lake to peatland soils and mature lake. Using hybrid metagenome co-assemblies with gene-, plasmid-, and genome-centric approaches, we explored key biogeochemical cycles and the role of plasmids in microbial adaptation along the transect. Gene annotation, metagenome-assembled genome (MAG) reconstruction, and network analysis revealed a shift from potential for anaerobic ammonium oxidation (anammox) in palsa and emerging lake to potential for nitrification in mature lake. Potential for methanogenesis transitions from hydrogenotrophic in the palsa to methylotrophic in lakes, likely driven by a bacterial consortium degrading aromatic, peat-derived compounds. Sediments may support methane production via both hydrogenotrophic and acetoclastic potential for methanogenesis, partially fueled by the action of polysaccharide lyases. Anaerobic methane oxidation (AOM) potential seems important in both peat and the mature lake; and can be coupled with nitrification and sulfate-reducing partners through extracellular electron transfer, with cytochromes playing a central role. Notably, plasmidome shifts preceded metagenomic changes, especially in genes related to carbon and methane cycling, suggesting a role for plasmids in microbial adaptation to permafrost thaw. These findings highlight the complex microbial and plasmid dynamics that drive carbon, nitrogen, and greenhouse gas cycles in permafrost ecosystems.},
}
RevDate: 2026-04-19
CmpDate: 2026-04-19
Mechanisms Underlying Bioactive Compounds Decline in Medicinal Blaps rhynchopetera During Artificial Rearing.
Environmental microbiology, 28(4):e70304.
Artificial rearing is essential for sustainable utilization of medicinal insects, yet its impact on bioactive compound production remains poorly understood. Here we provide preliminary evidence that rearing of the medicinal beetle Blaps rhynchopetera reshapes its gut microbiota and metabolome, beyond mere environmental effects. Metabolomic analysis revealed 727 significantly altered metabolites, with 436 compounds, many linked to analgesic and anti-inflammatory activities, markedly reduced under rearing. Network pharmacology analysis suggested that this metabolic remodelling alters the overall regulatory landscape, with reduced network complexity compared to wild counterparts. Metagenomic profiling uncovered a decline in Pseudomonadota, a phylum positively correlated with multiple bioactive metabolites. Preliminary reintroduction of four Pseudomonadota strains suggested their potential involvement in terpenoid backbone biosynthesis, a key pathway for natural product synthesis. These findings reveal an intrinsic trade-off between rearing-driven microbial homogenization and preservation of medicinal potency, highlighting the need for microbiome-informed rearing strategies.
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@article {pmid42002296,
year = {2026},
author = {Yang, X and Zhang, L and Zhou, S and Wang, Z and Lv, Q and Zhao, M and Wang, C},
title = {Mechanisms Underlying Bioactive Compounds Decline in Medicinal Blaps rhynchopetera During Artificial Rearing.},
journal = {Environmental microbiology},
volume = {28},
number = {4},
pages = {e70304},
doi = {10.1111/1462-2920.70304},
pmid = {42002296},
issn = {1462-2920},
support = {2022YFC2602500//National Key Research and Development Program of China/ ; JiaoWaiSiYa[2020]619//Lancang-Mekong Cooperation Special Fund Projects/ ; SAJC202402//Chinese Academy of Sciences/ ; 2025YKZY002//Yunnan Characteristic Plant Extraction Laboratory/ ; 202449CE340005//Yunnan Provincial Science and Technology Department/ ; 202305AH340007//Yunnan Provincial Science and Technology Department/ ; },
mesh = {Animals ; *Coleoptera/microbiology/metabolism/growth & development ; *Gastrointestinal Microbiome ; Bacteria/metabolism/genetics/classification/isolation & purification ; Metabolome ; Biological Products/metabolism ; },
abstract = {Artificial rearing is essential for sustainable utilization of medicinal insects, yet its impact on bioactive compound production remains poorly understood. Here we provide preliminary evidence that rearing of the medicinal beetle Blaps rhynchopetera reshapes its gut microbiota and metabolome, beyond mere environmental effects. Metabolomic analysis revealed 727 significantly altered metabolites, with 436 compounds, many linked to analgesic and anti-inflammatory activities, markedly reduced under rearing. Network pharmacology analysis suggested that this metabolic remodelling alters the overall regulatory landscape, with reduced network complexity compared to wild counterparts. Metagenomic profiling uncovered a decline in Pseudomonadota, a phylum positively correlated with multiple bioactive metabolites. Preliminary reintroduction of four Pseudomonadota strains suggested their potential involvement in terpenoid backbone biosynthesis, a key pathway for natural product synthesis. These findings reveal an intrinsic trade-off between rearing-driven microbial homogenization and preservation of medicinal potency, highlighting the need for microbiome-informed rearing strategies.},
}
MeSH Terms:
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Animals
*Coleoptera/microbiology/metabolism/growth & development
*Gastrointestinal Microbiome
Bacteria/metabolism/genetics/classification/isolation & purification
Metabolome
Biological Products/metabolism
RevDate: 2026-04-19
CmpDate: 2026-04-19
A novel Curcuma wenyujin-derived fructan modulates gut microbiota and metabolic pathways to ameliorate DSS-induced colitis.
Carbohydrate polymers, 382:125292.
Ulcerative colitis (UC) involves epithelial barrier breakdown, dysregulated mucosal immunity, and dysbiosis of the gut microbiota (GM). Given the biotherapeutic potential of dietary fructans, this study aimed to isolate a neutral fructan (CWP-W-1) from Curcuma wenyujin and to characterize its chemical structure and anti-colitis effects. CWP-W-1 was purified by DEAE-Sepharose and gel-filtration chromatography. Its structure was established using HPGPC, monosaccharide profiling, FT-IR, GC-MS, and NMR. In a DSS-induced UC mouse model, CWP-W-1 treatment alleviated disease severity and weight loss, decreased the disease activity index and rectal bleeding, prevented colon shortening, and restored histological architecture, with increased goblet cells and mucin staining. Metagenomic sequencing showed that CWP-W-1 mitigated DSS-associated dysbiosis, recovering α-diversity and shifting β-diversity toward healthy controls, with decreases in Proteobacteria and enrichment of beneficial taxa. Metabolite analyses indicated that CWP-W-1 increased short-chain fatty acids (SCFAs) and remodeled the tryptophan metabolic pathway, shifting the pro-inflammatory kynurenine bias toward indole-derived aryl hydrocarbon receptor (AhR) ligands, consistent with epithelial barrier support and immune homeostasis. Collectively, these results demonstrated that CWP-W-1 was a structurally defined fructan with significant therapeutic potential for UC through coordinated modulation of barrier function, mucosal immunity, and the gut microbiota.
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@article {pmid42002357,
year = {2026},
author = {Li, Z and Li, Z and Chu, L and Hu, S and Xue, C and Lin, H and Luo, Y and Zhang, Y and Zhang, J and Wang, Z},
title = {A novel Curcuma wenyujin-derived fructan modulates gut microbiota and metabolic pathways to ameliorate DSS-induced colitis.},
journal = {Carbohydrate polymers},
volume = {382},
number = {},
pages = {125292},
doi = {10.1016/j.carbpol.2026.125292},
pmid = {42002357},
issn = {1879-1344},
mesh = {Animals ; *Gastrointestinal Microbiome/drug effects ; Mice ; *Curcuma/chemistry ; Dextran Sulfate/toxicity ; *Fructans/pharmacology/chemistry/isolation & purification/therapeutic use ; Mice, Inbred C57BL ; Male ; Metabolic Networks and Pathways/drug effects ; *Colitis, Ulcerative/drug therapy/chemically induced/metabolism ; *Colitis/chemically induced/drug therapy ; Disease Models, Animal ; },
abstract = {Ulcerative colitis (UC) involves epithelial barrier breakdown, dysregulated mucosal immunity, and dysbiosis of the gut microbiota (GM). Given the biotherapeutic potential of dietary fructans, this study aimed to isolate a neutral fructan (CWP-W-1) from Curcuma wenyujin and to characterize its chemical structure and anti-colitis effects. CWP-W-1 was purified by DEAE-Sepharose and gel-filtration chromatography. Its structure was established using HPGPC, monosaccharide profiling, FT-IR, GC-MS, and NMR. In a DSS-induced UC mouse model, CWP-W-1 treatment alleviated disease severity and weight loss, decreased the disease activity index and rectal bleeding, prevented colon shortening, and restored histological architecture, with increased goblet cells and mucin staining. Metagenomic sequencing showed that CWP-W-1 mitigated DSS-associated dysbiosis, recovering α-diversity and shifting β-diversity toward healthy controls, with decreases in Proteobacteria and enrichment of beneficial taxa. Metabolite analyses indicated that CWP-W-1 increased short-chain fatty acids (SCFAs) and remodeled the tryptophan metabolic pathway, shifting the pro-inflammatory kynurenine bias toward indole-derived aryl hydrocarbon receptor (AhR) ligands, consistent with epithelial barrier support and immune homeostasis. Collectively, these results demonstrated that CWP-W-1 was a structurally defined fructan with significant therapeutic potential for UC through coordinated modulation of barrier function, mucosal immunity, and the gut microbiota.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Gastrointestinal Microbiome/drug effects
Mice
*Curcuma/chemistry
Dextran Sulfate/toxicity
*Fructans/pharmacology/chemistry/isolation & purification/therapeutic use
Mice, Inbred C57BL
Male
Metabolic Networks and Pathways/drug effects
*Colitis, Ulcerative/drug therapy/chemically induced/metabolism
*Colitis/chemically induced/drug therapy
Disease Models, Animal
RevDate: 2026-04-16
Rhizospheric glycosyltransferase repertoires as a resource for enabling sustainable bioprocessing and green biocatalyst discovery.
Scientific reports, 16(1):.
UNLABELLED: The rhizospheric microbiomes associated with wild plant species Moringa oleifera and Abutilon fruticosum, endemic to the arid northwestern Mecca region of Saudi Arabia, represent untapped reservoirs of genetic capability with significant implications for agriculture, biotechnology, medicine, and environmental sustainability. Leveraging high-throughput metagenomic sequencing and advanced bioinformatics, this study systematically cataloged carbohydrate-active enzymes (CAZymes), with a particular focus on glycosyltransferase (GT) families, within these root-associated microbial consortia. The analysis revealed pronounced compositional divergence between rhizospheric and bulk soil microbiomes, underscoring the influence of plant species and edaphic factors in shaping niche-specific microbial assemblages and functional repertoires. The two rhizospheric microbiomes were consistently enriched in all six CAZy classes, with lineage-specific CAZymes of GT families (GT2 and GT84 in M. oleifera and GT31, GT39, and GT66 in A. fruticosum). These lineage-specific CAZymes catalyze the synthesis of structurally diverse polysaccharides, including cellulose, chitin, β-glucans, mannans, and chondroitin, thereby positioning the rhizospheric microbiomes of Moringa oleifera and Abutilon fruticosum as promising reservoirs of biocatalysts for possible future applications in industrial applications, biomedical engineering, and environmentally sustainable technologies. The evolutionary history of these enzymes in hot, oligohydric soils suggests adaptation to thermal and water-limited conditions, which may render them particularly suitable for deployment in industrial and biotechnological bioreactors. These CAZymes are predicted to be positioned as pivotal assets for sustainable bioeconomy initiatives and possible therapeutic glycoengineering.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1038/s41598-026-42974-2.
Additional Links: PMID-41803433
PubMed:
Citation:
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@article {pmid41803433,
year = {2026},
author = {Jalal, RS and Alshehrei, FM},
title = {Rhizospheric glycosyltransferase repertoires as a resource for enabling sustainable bioprocessing and green biocatalyst discovery.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {},
pmid = {41803433},
issn = {2045-2322},
support = {UJ-25-DR-1837//University of Jeddah/ ; },
abstract = {UNLABELLED: The rhizospheric microbiomes associated with wild plant species Moringa oleifera and Abutilon fruticosum, endemic to the arid northwestern Mecca region of Saudi Arabia, represent untapped reservoirs of genetic capability with significant implications for agriculture, biotechnology, medicine, and environmental sustainability. Leveraging high-throughput metagenomic sequencing and advanced bioinformatics, this study systematically cataloged carbohydrate-active enzymes (CAZymes), with a particular focus on glycosyltransferase (GT) families, within these root-associated microbial consortia. The analysis revealed pronounced compositional divergence between rhizospheric and bulk soil microbiomes, underscoring the influence of plant species and edaphic factors in shaping niche-specific microbial assemblages and functional repertoires. The two rhizospheric microbiomes were consistently enriched in all six CAZy classes, with lineage-specific CAZymes of GT families (GT2 and GT84 in M. oleifera and GT31, GT39, and GT66 in A. fruticosum). These lineage-specific CAZymes catalyze the synthesis of structurally diverse polysaccharides, including cellulose, chitin, β-glucans, mannans, and chondroitin, thereby positioning the rhizospheric microbiomes of Moringa oleifera and Abutilon fruticosum as promising reservoirs of biocatalysts for possible future applications in industrial applications, biomedical engineering, and environmentally sustainable technologies. The evolutionary history of these enzymes in hot, oligohydric soils suggests adaptation to thermal and water-limited conditions, which may render them particularly suitable for deployment in industrial and biotechnological bioreactors. These CAZymes are predicted to be positioned as pivotal assets for sustainable bioeconomy initiatives and possible therapeutic glycoengineering.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1038/s41598-026-42974-2.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Bacterial communities in Thai ticks: revealing geographical and methodological gaps in surveillance-a 25-year scoping review.
Tropical medicine and health, 54(1):.
Ticks serve as key vectors for a diverse range of bacterial pathogens that affect humans and animals worldwide. In Thailand, a comprehensive understanding of tick-associated bacterial diversity remains limited. This scoping review synthesises published data on tick-borne bacteria across Thailand from 2001 to 2025, focusing on bacterial diversity, host-vector associations, geographic distribution, and molecular detection methods. Literature searches in NCBI, Embase, and Web of Science identified 402 studies (272 after duplicate removal), of which 39 met the inclusion criteria. Ticks were collected from animals, humans, and the environment across four zoogeographical regions. Rhipicephalus, Haemaphysalis, Dermacentor, and Amblyomma were the most commonly studied genera. Eighteen bacterial genera, including both pathogens and endosymbionts, were identified, with Coxiella-like endosymbionts, Rickettsia, Anaplasma, and Ehrlichia being the predominant genera. Rhipicephalus ticks exhibited the highest bacterial diversity, while Rickettsia spp. were the most frequently detected pathogens. Conventional PCR remained the principal diagnostic method, with limited application of quantitative and metagenomic sequencing approaches. Geographic analysis revealed that most studies were concentrated in the Northern Peninsular and Central Peninsular regions, while the Continental section of the Indo-Chinese Mainland and Korat Plateau zones were under-represented, which may limit the accuracy of regional risk assessments, as surveillance gaps can underestimate both the diversity and prevalence of pathogenic organisms in these areas. This review emphasises the intricate nature of tick-host-pathogen interactions and highlights the importance of implementing standardised genomic surveillance nationwide within a One Health framework. The findings reveal key gaps in current surveillance efforts and advocate for incorporating genomic tick monitoring into Thailand's national One Health strategies to improve zoonotic disease preparedness.
Additional Links: PMID-41998767
PubMed:
Citation:
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@article {pmid41998767,
year = {2026},
author = {Rungrojn, A and Chaisiri, K and Thaipadungpanit, J and Batty, EM and Blacksell, SD},
title = {Bacterial communities in Thai ticks: revealing geographical and methodological gaps in surveillance-a 25-year scoping review.},
journal = {Tropical medicine and health},
volume = {54},
number = {1},
pages = {},
pmid = {41998767},
issn = {1348-8945},
support = {JCPET02//Royal Society of Tropical Medicine and Hygiene/ ; 220211/Z/20/Z/WT_/Wellcome Trust/United Kingdom ; },
abstract = {Ticks serve as key vectors for a diverse range of bacterial pathogens that affect humans and animals worldwide. In Thailand, a comprehensive understanding of tick-associated bacterial diversity remains limited. This scoping review synthesises published data on tick-borne bacteria across Thailand from 2001 to 2025, focusing on bacterial diversity, host-vector associations, geographic distribution, and molecular detection methods. Literature searches in NCBI, Embase, and Web of Science identified 402 studies (272 after duplicate removal), of which 39 met the inclusion criteria. Ticks were collected from animals, humans, and the environment across four zoogeographical regions. Rhipicephalus, Haemaphysalis, Dermacentor, and Amblyomma were the most commonly studied genera. Eighteen bacterial genera, including both pathogens and endosymbionts, were identified, with Coxiella-like endosymbionts, Rickettsia, Anaplasma, and Ehrlichia being the predominant genera. Rhipicephalus ticks exhibited the highest bacterial diversity, while Rickettsia spp. were the most frequently detected pathogens. Conventional PCR remained the principal diagnostic method, with limited application of quantitative and metagenomic sequencing approaches. Geographic analysis revealed that most studies were concentrated in the Northern Peninsular and Central Peninsular regions, while the Continental section of the Indo-Chinese Mainland and Korat Plateau zones were under-represented, which may limit the accuracy of regional risk assessments, as surveillance gaps can underestimate both the diversity and prevalence of pathogenic organisms in these areas. This review emphasises the intricate nature of tick-host-pathogen interactions and highlights the importance of implementing standardised genomic surveillance nationwide within a One Health framework. The findings reveal key gaps in current surveillance efforts and advocate for incorporating genomic tick monitoring into Thailand's national One Health strategies to improve zoonotic disease preparedness.},
}
RevDate: 2026-04-18
CmpDate: 2026-04-18
Temporal Shifts in Gut Microbiota and Host Immunity During Chronic Diarrhea in an Infant Rhesus Macaque: A Longitudinal Case Study Based on Multi-Omics.
Journal of medical primatology, 55(3):e70074.
Diarrhea remains a major health challenge in captive rhesus macaques (RMs; Macaca mulatta), particularly among infants, yet the dynamic interplay between gut microbiota and host immune responses during disease progression remains poorly understood. Here, we conducted a longitudinal multi-omics study on a captive infant RM, analyzing 25 fecal metagenomes and 18 blood transcriptomes across diarrheal, antibiotic treatment, and recovery phases. Our results demonstrated that disease state was the primary driver of gut microbiota variation. The diarrheal phase was characterized by a significant reduction in microbial α-diversity and marked expansion of multidrug-resistant Enterobacteriaceae, including Escherichia, Shigella, and Salmonella, accompanied by severe depletion of probiotic genera such as Lactobacillus and Bifidobacterium. Correspondingly, antibiotic resistance genes targeting fluoroquinolones and cephalosporins accumulated substantially during diarrhea, explaining the limited efficacy of empirical antibiotic therapy. Blood transcriptome analysis revealed heightened innate immune activation, evidenced by upregulation of interferon-related genes, alongside suppression of adaptive immune pathways including interleukin-5 signaling. Integrated correlation analysis uncovered synchronized host-microbiome interactions, with inflammatory gene expression positively associated with opportunistic pathogens and negatively correlated with beneficial commensals. Clinical recovery coincided with re-establishment of probiotic populations, reduction in resistance gene burden, and normalization of immune function. These findings demonstrate that infant macaque diarrhea profoundly disrupts both gut microbial ecology and systemic immunity, supporting management strategies that prioritize targeted antimicrobial intervention and microbiome restoration over prolonged empirical antibiotic use in captive primates.
Additional Links: PMID-41998806
Publisher:
PubMed:
Citation:
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@article {pmid41998806,
year = {2026},
author = {Tang, R and Wang, J and Zhang, Z and Li, Y and Lan, Y and Fan, Z},
title = {Temporal Shifts in Gut Microbiota and Host Immunity During Chronic Diarrhea in an Infant Rhesus Macaque: A Longitudinal Case Study Based on Multi-Omics.},
journal = {Journal of medical primatology},
volume = {55},
number = {3},
pages = {e70074},
doi = {10.1111/jmp.70074},
pmid = {41998806},
issn = {1600-0684},
support = {2023NSFSC1935//Sichuan Province Science and Technology Support Program/ ; 32370450//National Natural Science Foundation of China/ ; },
mesh = {Animals ; *Macaca mulatta/immunology ; *Gastrointestinal Microbiome ; *Diarrhea/veterinary/microbiology/immunology ; *Monkey Diseases/immunology/microbiology ; Longitudinal Studies ; Transcriptome ; Male ; Anti-Bacterial Agents/therapeutic use ; Female ; Chronic Disease ; Multiomics ; },
abstract = {Diarrhea remains a major health challenge in captive rhesus macaques (RMs; Macaca mulatta), particularly among infants, yet the dynamic interplay between gut microbiota and host immune responses during disease progression remains poorly understood. Here, we conducted a longitudinal multi-omics study on a captive infant RM, analyzing 25 fecal metagenomes and 18 blood transcriptomes across diarrheal, antibiotic treatment, and recovery phases. Our results demonstrated that disease state was the primary driver of gut microbiota variation. The diarrheal phase was characterized by a significant reduction in microbial α-diversity and marked expansion of multidrug-resistant Enterobacteriaceae, including Escherichia, Shigella, and Salmonella, accompanied by severe depletion of probiotic genera such as Lactobacillus and Bifidobacterium. Correspondingly, antibiotic resistance genes targeting fluoroquinolones and cephalosporins accumulated substantially during diarrhea, explaining the limited efficacy of empirical antibiotic therapy. Blood transcriptome analysis revealed heightened innate immune activation, evidenced by upregulation of interferon-related genes, alongside suppression of adaptive immune pathways including interleukin-5 signaling. Integrated correlation analysis uncovered synchronized host-microbiome interactions, with inflammatory gene expression positively associated with opportunistic pathogens and negatively correlated with beneficial commensals. Clinical recovery coincided with re-establishment of probiotic populations, reduction in resistance gene burden, and normalization of immune function. These findings demonstrate that infant macaque diarrhea profoundly disrupts both gut microbial ecology and systemic immunity, supporting management strategies that prioritize targeted antimicrobial intervention and microbiome restoration over prolonged empirical antibiotic use in captive primates.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Macaca mulatta/immunology
*Gastrointestinal Microbiome
*Diarrhea/veterinary/microbiology/immunology
*Monkey Diseases/immunology/microbiology
Longitudinal Studies
Transcriptome
Male
Anti-Bacterial Agents/therapeutic use
Female
Chronic Disease
Multiomics
RevDate: 2026-04-18
Phage-Encoded Metabolic Bypass Drives Herbicide Resistance in Soil Microbiomes.
Environmental science & technology [Epub ahead of print].
Phages reshape microbial community functions through auxiliary metabolic genes (AMGs) and are increasingly recognized as active drivers of microbial adaptation. Although herbicides such as glufosinate significantly inhibit soil microbes, these communities exhibit striking resilience; however, the role of phages in facilitating this rapid adaptation remains poorly understood. Here, we dissect the temporal dynamics (days 0, 15, 30, and 60) of phage-host interactions under two contrasting stressors: the microbially toxic glufosinate and the nontoxic dicamba. We find that glufosinate transiently suppresses microbial diversity, followed by a robust recovery on day 60. This successional shift coincides with an elevated proportion of putative temperate phages (74.1%) and a strategic attenuation of bacterial antiviral systems, signaling a transition from antagonistic predation to mutualistic lysogeny. Metagenomic analyses across 23 regions in China corroborate that this temperate phage recruitment is a generalized response to field-relevant glufosinate exposure. Selection for temperate phage infections arises from asymmetric fitness costs (burdening virulent phage-susceptible hosts) and prophage integration of AMGs like gdhA. Specifically, coevolution assays reveal that glufosinate selectively penalizes virulent phage-sensitive hosts, favoring the recruitment of temperate phage infections. Furthermore, in vitro validation confirms that phage-encoded gdhA provides a compensatory metabolic bypass for ammonia detoxification, directly mitigating herbicide toxicity. Collectively, these findings delineate a phage-mediated mechanism for herbicide resistance evolution in soil microbiomes, emphasizing the need for a microbiome-informed agrochemical design to manage long-term ecological resilience.
Additional Links: PMID-41999333
Publisher:
PubMed:
Citation:
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@article {pmid41999333,
year = {2026},
author = {Tang, X and Lu, SY and Huang, JH and Cheng, ZW and Ke, YC and Ai, CF and Liu, C and Liao, HP and Zhou, SG},
title = {Phage-Encoded Metabolic Bypass Drives Herbicide Resistance in Soil Microbiomes.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.6c02641},
pmid = {41999333},
issn = {1520-5851},
abstract = {Phages reshape microbial community functions through auxiliary metabolic genes (AMGs) and are increasingly recognized as active drivers of microbial adaptation. Although herbicides such as glufosinate significantly inhibit soil microbes, these communities exhibit striking resilience; however, the role of phages in facilitating this rapid adaptation remains poorly understood. Here, we dissect the temporal dynamics (days 0, 15, 30, and 60) of phage-host interactions under two contrasting stressors: the microbially toxic glufosinate and the nontoxic dicamba. We find that glufosinate transiently suppresses microbial diversity, followed by a robust recovery on day 60. This successional shift coincides with an elevated proportion of putative temperate phages (74.1%) and a strategic attenuation of bacterial antiviral systems, signaling a transition from antagonistic predation to mutualistic lysogeny. Metagenomic analyses across 23 regions in China corroborate that this temperate phage recruitment is a generalized response to field-relevant glufosinate exposure. Selection for temperate phage infections arises from asymmetric fitness costs (burdening virulent phage-susceptible hosts) and prophage integration of AMGs like gdhA. Specifically, coevolution assays reveal that glufosinate selectively penalizes virulent phage-sensitive hosts, favoring the recruitment of temperate phage infections. Furthermore, in vitro validation confirms that phage-encoded gdhA provides a compensatory metabolic bypass for ammonia detoxification, directly mitigating herbicide toxicity. Collectively, these findings delineate a phage-mediated mechanism for herbicide resistance evolution in soil microbiomes, emphasizing the need for a microbiome-informed agrochemical design to manage long-term ecological resilience.},
}
RevDate: 2026-04-18
Storage and soil depth, in addition to wastewater treatment, govern microbiota, and mobile genetic element and antibiotic resistance markers during reclaimed water irrigation.
Water research, 300:125889 pii:S0043-1354(26)00571-3 [Epub ahead of print].
Reclaimed water (RW) offers a sustainable solution for agricultural irrigation and freshwater conservation, but its microbial and chemical composition, shaped by treatment and storage processes, requires careful consideration for environmental and public health impacts. This study compared two RW types (conventional activated sludge with sand filtration and chlorination - CAS + SFC-RW - and membrane bioreactor - MBR-RW) with a tube well (TW) water control. The goal was to assess how storage influences the microbial composition, key antibiotic resistance and mobilome genes, and RW the impact on irrigated lysimeter soils during lettuce cultivation. Total bacteria were profiled using 16S rRNA gene sequencing and ddPCR, while antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) were quantified by ddPCR and analysed by metagenomics. Initial RW samples had 1-1.5 orders of magnitude more 16S rRNA copies compared with the control, with significantly different bacterial and ARG/MGE profiles. Actinomycetota dominated CAS + SFC-RW, Bacteroidota the MBR-RW, and Pseudomonadota the TW water. Class 1 integrons and Tn916/Tn1545 were more abundant in CAS + SFC-RW compared with the MBR-RW. Storage reduced these differences toward convergence with the TW water profile, with putative pathogenic taxa, however, being more recalcitrant to change. RW irrigation altered soil bacterial composition, with MBR-RW having a greater impact as declared by the enhanced presence of Bacteroidota in the receiving soils. The RW influence was inversely related with vertical distance of the irrigation point, while the lettuce crop presence showed minimal/no impact. These results highlight the need for careful management of RW treatment and storage to ensure safe, resilient agricultural practices.
Additional Links: PMID-42000179
Publisher:
PubMed:
Citation:
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@article {pmid42000179,
year = {2026},
author = {Iakovides, IC and Vasileiadis, S and Christou, A and Karaolia, P and Mina, T and Rocha, J and Duan, Y and Beretsou, VG and Gallois, N and Changey, F and Michael, C and Coelho, LP and Manaia, CM and Merlin, C and Fatta-Kassinos, D},
title = {Storage and soil depth, in addition to wastewater treatment, govern microbiota, and mobile genetic element and antibiotic resistance markers during reclaimed water irrigation.},
journal = {Water research},
volume = {300},
number = {},
pages = {125889},
doi = {10.1016/j.watres.2026.125889},
pmid = {42000179},
issn = {1879-2448},
abstract = {Reclaimed water (RW) offers a sustainable solution for agricultural irrigation and freshwater conservation, but its microbial and chemical composition, shaped by treatment and storage processes, requires careful consideration for environmental and public health impacts. This study compared two RW types (conventional activated sludge with sand filtration and chlorination - CAS + SFC-RW - and membrane bioreactor - MBR-RW) with a tube well (TW) water control. The goal was to assess how storage influences the microbial composition, key antibiotic resistance and mobilome genes, and RW the impact on irrigated lysimeter soils during lettuce cultivation. Total bacteria were profiled using 16S rRNA gene sequencing and ddPCR, while antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) were quantified by ddPCR and analysed by metagenomics. Initial RW samples had 1-1.5 orders of magnitude more 16S rRNA copies compared with the control, with significantly different bacterial and ARG/MGE profiles. Actinomycetota dominated CAS + SFC-RW, Bacteroidota the MBR-RW, and Pseudomonadota the TW water. Class 1 integrons and Tn916/Tn1545 were more abundant in CAS + SFC-RW compared with the MBR-RW. Storage reduced these differences toward convergence with the TW water profile, with putative pathogenic taxa, however, being more recalcitrant to change. RW irrigation altered soil bacterial composition, with MBR-RW having a greater impact as declared by the enhanced presence of Bacteroidota in the receiving soils. The RW influence was inversely related with vertical distance of the irrigation point, while the lettuce crop presence showed minimal/no impact. These results highlight the need for careful management of RW treatment and storage to ensure safe, resilient agricultural practices.},
}
RevDate: 2026-04-18
Gut microbial restructuring in white spot syndrome virus-infected Penaeus vannamei: Insights from long-read metagenomics.
Comparative biochemistry and physiology. Part D, Genomics & proteomics, 59:101834 pii:S1744-117X(26)00093-6 [Epub ahead of print].
Microbial community restructuring following White Spot Syndrome Virus (WSSV) infection is a critical determinant in modulating the disease progression in Penaeus vannamei. In this study, full-length 16S rRNA sequencing (V1-V9) was employed to delineate the microbial shifts in healthy and WSSV-infected shrimp. The analysis revealed a pronounced reduction in Firmicutes in the WSSV-infected shrimp, a dysbiosis signature reported in WSSV-associated amplicon studies. With the advantage of full-length sequencing, this study achieved species-level resolution, identifying Vibrio alginolyticus (a known pathogen) alongside putative beneficial taxa such as Ruegeria conchae, R. arenilitoris, Demequina litorisediminis, and D.globuliformis, which were not captured in earlier amplicon-based studies. Diversity analysis demonstrated that, rather than loss of species, substantial restructuring in the form of abundance was observed between healthy and WSSV-infected shrimp, while the overall evenness of the community remained stable. Concurrently, WSSV-infection has triggered an increased abundance of core opportunistic pathogens, namely, Photobacterium damselae and V. alginolyticus, which clustered distinctly from putative beneficial taxa such as Ruegeria and Demequina species, reflecting a clear microbial imbalance. Collectively, these findings demonstrated that mortality in WSSV-infected shrimp is associated with dysbiosis characterized by a depletion of beneficial taxa and concomitant abundance of opportunistic pathogens. These insights provide a basis for developing targeted probiotic or therapeutic strategies to mitigate pathogen overgrowth.
Additional Links: PMID-42000463
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PubMed:
Citation:
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@article {pmid42000463,
year = {2026},
author = {Devika, NT and Jayaraman, K and Nadimuthu, S and Nathamuni, SP and Sreya, PS and Jangam, AK and Katneni, VK},
title = {Gut microbial restructuring in white spot syndrome virus-infected Penaeus vannamei: Insights from long-read metagenomics.},
journal = {Comparative biochemistry and physiology. Part D, Genomics & proteomics},
volume = {59},
number = {},
pages = {101834},
doi = {10.1016/j.cbd.2026.101834},
pmid = {42000463},
issn = {1878-0407},
abstract = {Microbial community restructuring following White Spot Syndrome Virus (WSSV) infection is a critical determinant in modulating the disease progression in Penaeus vannamei. In this study, full-length 16S rRNA sequencing (V1-V9) was employed to delineate the microbial shifts in healthy and WSSV-infected shrimp. The analysis revealed a pronounced reduction in Firmicutes in the WSSV-infected shrimp, a dysbiosis signature reported in WSSV-associated amplicon studies. With the advantage of full-length sequencing, this study achieved species-level resolution, identifying Vibrio alginolyticus (a known pathogen) alongside putative beneficial taxa such as Ruegeria conchae, R. arenilitoris, Demequina litorisediminis, and D.globuliformis, which were not captured in earlier amplicon-based studies. Diversity analysis demonstrated that, rather than loss of species, substantial restructuring in the form of abundance was observed between healthy and WSSV-infected shrimp, while the overall evenness of the community remained stable. Concurrently, WSSV-infection has triggered an increased abundance of core opportunistic pathogens, namely, Photobacterium damselae and V. alginolyticus, which clustered distinctly from putative beneficial taxa such as Ruegeria and Demequina species, reflecting a clear microbial imbalance. Collectively, these findings demonstrated that mortality in WSSV-infected shrimp is associated with dysbiosis characterized by a depletion of beneficial taxa and concomitant abundance of opportunistic pathogens. These insights provide a basis for developing targeted probiotic or therapeutic strategies to mitigate pathogen overgrowth.},
}
RevDate: 2026-04-18
Metagenomics insights into humification improvement and antimicrobial resistance reduction during hyperthermophilic coupled with electric field composting process.
Journal of hazardous materials, 510:142094 pii:S0304-3894(26)01072-1 [Epub ahead of print].
Compared to conventional thermophilic composting, hyperthermophilic composting elevates fermentation temperature and electric field composting facilitates oxygen transfer, with both strategies promoting humification and reshaping the microbial community structure. This study coupled hyperthermophilic composting with electric field composting (HEC) to further enhance livestock manure humification while suppressing antimicrobial resistance. A composting strategy consisting of 12-day hyperthermophilic pretreatment and 28-day electric field composting was implemented. Integrating analyses of the humification process, metagenomics, metabolic pathways, and key microbiota linked to humification and antimicrobial resistance, this study indicated that HEC strategy triggered an initial hyperthermophilic surge and sustained thermophilic, with potential enhancement of aerobic metabolic activity under the applied electric field, thereby driving microbial succession from Proteobacteria to Firmicutes and Actinobacteria. The favorable conditions and microbiota shift enhanced metabolic activity, accelerated transformation of organic substrates, and increased aromatic precursor accumulation, resulting in a 2.5-fold increase in humic acid carbon compared with conventional thermophilic composting. Meanwhile, HEC reduced antibiotic resistance genes (ARGs) abundance and diversity by suppressing resistance-associated microbiota, particularly Proteobacteria and Bacteroidetes, which predominantly harbor antibiotic efflux genes (e.g., adeF). The attenuation of ARGs abundance and diversity reached 66.1% and 74.2%, respectively, compared with 43.3% and 48.8% in conventional thermophilic composting after 40d fermentation, and meanwhile, dominant humus-forming microbiota were relatively less associated with ARGs. This study elucidated the mechanisms underlying enhanced humification and ARG mitigation during the HEC process, thereby offering an effective strategy for resource recovery from livestock manure.
Additional Links: PMID-42000510
Publisher:
PubMed:
Citation:
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@article {pmid42000510,
year = {2026},
author = {Yu, Z and Song, S and Deng, W and Zhou, X and Wang, Y and Zhou, S},
title = {Metagenomics insights into humification improvement and antimicrobial resistance reduction during hyperthermophilic coupled with electric field composting process.},
journal = {Journal of hazardous materials},
volume = {510},
number = {},
pages = {142094},
doi = {10.1016/j.jhazmat.2026.142094},
pmid = {42000510},
issn = {1873-3336},
abstract = {Compared to conventional thermophilic composting, hyperthermophilic composting elevates fermentation temperature and electric field composting facilitates oxygen transfer, with both strategies promoting humification and reshaping the microbial community structure. This study coupled hyperthermophilic composting with electric field composting (HEC) to further enhance livestock manure humification while suppressing antimicrobial resistance. A composting strategy consisting of 12-day hyperthermophilic pretreatment and 28-day electric field composting was implemented. Integrating analyses of the humification process, metagenomics, metabolic pathways, and key microbiota linked to humification and antimicrobial resistance, this study indicated that HEC strategy triggered an initial hyperthermophilic surge and sustained thermophilic, with potential enhancement of aerobic metabolic activity under the applied electric field, thereby driving microbial succession from Proteobacteria to Firmicutes and Actinobacteria. The favorable conditions and microbiota shift enhanced metabolic activity, accelerated transformation of organic substrates, and increased aromatic precursor accumulation, resulting in a 2.5-fold increase in humic acid carbon compared with conventional thermophilic composting. Meanwhile, HEC reduced antibiotic resistance genes (ARGs) abundance and diversity by suppressing resistance-associated microbiota, particularly Proteobacteria and Bacteroidetes, which predominantly harbor antibiotic efflux genes (e.g., adeF). The attenuation of ARGs abundance and diversity reached 66.1% and 74.2%, respectively, compared with 43.3% and 48.8% in conventional thermophilic composting after 40d fermentation, and meanwhile, dominant humus-forming microbiota were relatively less associated with ARGs. This study elucidated the mechanisms underlying enhanced humification and ARG mitigation during the HEC process, thereby offering an effective strategy for resource recovery from livestock manure.},
}
RevDate: 2026-04-18
A Trojan Horse in the soil: Tetracycline hijacks plant organellar ribosomes to stunt growth and unbalance the rhizosphere microecology.
Journal of hazardous materials, 510:141792 pii:S0304-3894(26)00770-3 [Epub ahead of print].
Tetracycline, a widely used antibiotic, accumulates in agricultural soils and poses significant risks to crop development and soil health. This study elucidates novel mechanisms of TC phytotoxicity by demonstrating its specific binding to the structurally conserved A-site of ribosomal small subunit RNA (SSU rRNA) in plant mitochondria and chloroplasts-organelles of prokaryotic origin. Through integrated physiological, transcriptomic, and structural analyses, we show that TC disrupts ribosomal function, induces oxidative stress, and impairs photosynthesis and antioxidant defense in soybean, and unbalances the SSU/LSU (ribosomal large subunit RNA) rRNA ratio. We further developed a comprehensive Ecological Risk Index (ERI) framework that integrates soil physicochemical properties, enzyme activities, microbial metabolism, and community structure to evaluate soil microecological shifts under TC stress. Metagenomic analysis uncovered functional adaptations in microbial nitrogen/phosphorus cycling and emphasized the role of multidrug resistance genes-rather than tetracycline-specific resistance-via mobile genetic elements, including those from ssDNA viruses. Our findings provide unprecedented insights into the evolutionary conservation of ribosomal targets of antibiotics and establish a holistic framework for assessing the ecological impact of antibiotic residues in agroecosystems.
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@article {pmid42000517,
year = {2026},
author = {Han, W and Liu, Y and Liang, X and Liu, J and Jiang, Q and Zhang, C and Zhang, Y},
title = {A Trojan Horse in the soil: Tetracycline hijacks plant organellar ribosomes to stunt growth and unbalance the rhizosphere microecology.},
journal = {Journal of hazardous materials},
volume = {510},
number = {},
pages = {141792},
doi = {10.1016/j.jhazmat.2026.141792},
pmid = {42000517},
issn = {1873-3336},
abstract = {Tetracycline, a widely used antibiotic, accumulates in agricultural soils and poses significant risks to crop development and soil health. This study elucidates novel mechanisms of TC phytotoxicity by demonstrating its specific binding to the structurally conserved A-site of ribosomal small subunit RNA (SSU rRNA) in plant mitochondria and chloroplasts-organelles of prokaryotic origin. Through integrated physiological, transcriptomic, and structural analyses, we show that TC disrupts ribosomal function, induces oxidative stress, and impairs photosynthesis and antioxidant defense in soybean, and unbalances the SSU/LSU (ribosomal large subunit RNA) rRNA ratio. We further developed a comprehensive Ecological Risk Index (ERI) framework that integrates soil physicochemical properties, enzyme activities, microbial metabolism, and community structure to evaluate soil microecological shifts under TC stress. Metagenomic analysis uncovered functional adaptations in microbial nitrogen/phosphorus cycling and emphasized the role of multidrug resistance genes-rather than tetracycline-specific resistance-via mobile genetic elements, including those from ssDNA viruses. Our findings provide unprecedented insights into the evolutionary conservation of ribosomal targets of antibiotics and establish a holistic framework for assessing the ecological impact of antibiotic residues in agroecosystems.},
}
RevDate: 2026-04-18
Predicting sediment ecological state from metagenomes shows equal performance for taxonomic and functional features.
Marine environmental research, 218:108055 pii:S0141-1136(26)00224-2 [Epub ahead of print].
The use of environmental microbial DNA to monitor the ecological state in seafloor sediments has many advantages and efforts are being made to find reliable biomarkers from DNA-based taxonomic profiles. However, the taxonomic composition of microbial communities can vary over time and space, while their functional characteristics typically remain consistent. Furthermore, functionality may better capture the breadth of biological complexity. Therefore, we here tested whether functional attributes of microbial communities serve as more reliable indicators of environmental quality than their taxonomic composition. To test this, we analyzed a set of Metagenome-Assembled-Genomes (MAGs) from 41 different coastal locations in Norway and Iceland, characterized by environmental impact gradients resulting from salmon aquaculture. Functional and taxonomic features extracted from these MAGs were then used to predict the ecological state of the corresponding sample sites using several supervised machine learning models and stratified feature selection. Our findings indicate that both taxonomic and functional features demonstrated comparable effectiveness in predicting environmental quality. This outcome has direct relevance for eDNA-based regulatory compliance monitoring. However, the functional insights derived from the most significant functional features identified by machine learning models remain essential for deepening our understanding of the ecological processes underpinning practical biomonitoring tools.
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@article {pmid42000556,
year = {2026},
author = {Snipen, L and Stoeck, T and Angell, IL and Philip, M and Pettersen, R and Majaneva, S and Ray, JL and Stokkan, M and Keeley, N and Rudi, K},
title = {Predicting sediment ecological state from metagenomes shows equal performance for taxonomic and functional features.},
journal = {Marine environmental research},
volume = {218},
number = {},
pages = {108055},
doi = {10.1016/j.marenvres.2026.108055},
pmid = {42000556},
issn = {1879-0291},
abstract = {The use of environmental microbial DNA to monitor the ecological state in seafloor sediments has many advantages and efforts are being made to find reliable biomarkers from DNA-based taxonomic profiles. However, the taxonomic composition of microbial communities can vary over time and space, while their functional characteristics typically remain consistent. Furthermore, functionality may better capture the breadth of biological complexity. Therefore, we here tested whether functional attributes of microbial communities serve as more reliable indicators of environmental quality than their taxonomic composition. To test this, we analyzed a set of Metagenome-Assembled-Genomes (MAGs) from 41 different coastal locations in Norway and Iceland, characterized by environmental impact gradients resulting from salmon aquaculture. Functional and taxonomic features extracted from these MAGs were then used to predict the ecological state of the corresponding sample sites using several supervised machine learning models and stratified feature selection. Our findings indicate that both taxonomic and functional features demonstrated comparable effectiveness in predicting environmental quality. This outcome has direct relevance for eDNA-based regulatory compliance monitoring. However, the functional insights derived from the most significant functional features identified by machine learning models remain essential for deepening our understanding of the ecological processes underpinning practical biomonitoring tools.},
}
RevDate: 2026-04-18
Ventilation-driven microbial and antimicrobial resistance divergence in intensive poultry houses and the associated public health risks.
Research in veterinary science, 206:106196 pii:S0034-5288(26)00149-9 [Epub ahead of print].
Ventilation strategies in intensive poultry production systems play a critical role in shaping airborne microbial communities and the dissemination of antibiotic resistance, with potential implications for environmental and public health. In this study, bioaerosols from closed (mechanically ventilated) and open (naturally ventilated) chicken houses were systematically characterized using high-throughput metagenomic sequencing to compare microbial community composition and antibiotic resistance gene (ARG) profiles under contrasting ventilation regimes. Open chicken houses exhibited significantly higher microbial diversity (P < 0.05), reflecting increased environmental microbial inputs, while the relative abundance of the potentially antibiotic-resistant pathogen Staphylococcus aureus was also elevated. In contrast, closed chicken houses facilitated the accumulation of a core microbial community, including potential pathogens such as Helicobacter pullorum and Clostridium perfringens. Closed chicken houses showed a greater enrichment of macrolide resistance genes. In addition, the overall abundance of ARGs, expressed as ARG copies per 16S rRNA gene, was significantly higher in closed houses than in open houses (P < 0.05). Although total ARG abundance was lower in open chicken houses, the proportion of contigs harboring both ARGs and mobile genetic elements (MGEs) was significantly higher (P < 0.05), indicating increased potential for horizontal gene transfer. These findings reveal differences in microbial diversity and associated health risks between different poultry production systems and underscore the importance of optimizing ventilation strategies to control pathogen transmission and the spread of antibiotic resistance.
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@article {pmid42000565,
year = {2026},
author = {Wan, X and Zhan, J and Chen, Z and Wu, B},
title = {Ventilation-driven microbial and antimicrobial resistance divergence in intensive poultry houses and the associated public health risks.},
journal = {Research in veterinary science},
volume = {206},
number = {},
pages = {106196},
doi = {10.1016/j.rvsc.2026.106196},
pmid = {42000565},
issn = {1532-2661},
abstract = {Ventilation strategies in intensive poultry production systems play a critical role in shaping airborne microbial communities and the dissemination of antibiotic resistance, with potential implications for environmental and public health. In this study, bioaerosols from closed (mechanically ventilated) and open (naturally ventilated) chicken houses were systematically characterized using high-throughput metagenomic sequencing to compare microbial community composition and antibiotic resistance gene (ARG) profiles under contrasting ventilation regimes. Open chicken houses exhibited significantly higher microbial diversity (P < 0.05), reflecting increased environmental microbial inputs, while the relative abundance of the potentially antibiotic-resistant pathogen Staphylococcus aureus was also elevated. In contrast, closed chicken houses facilitated the accumulation of a core microbial community, including potential pathogens such as Helicobacter pullorum and Clostridium perfringens. Closed chicken houses showed a greater enrichment of macrolide resistance genes. In addition, the overall abundance of ARGs, expressed as ARG copies per 16S rRNA gene, was significantly higher in closed houses than in open houses (P < 0.05). Although total ARG abundance was lower in open chicken houses, the proportion of contigs harboring both ARGs and mobile genetic elements (MGEs) was significantly higher (P < 0.05), indicating increased potential for horizontal gene transfer. These findings reveal differences in microbial diversity and associated health risks between different poultry production systems and underscore the importance of optimizing ventilation strategies to control pathogen transmission and the spread of antibiotic resistance.},
}
RevDate: 2026-04-18
Multi-kingdom profiling reveals altered gut phage-bacteria-metabolite interactions in MASLD.
Nature communications pii:10.1038/s41467-026-71981-0 [Epub ahead of print].
Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly linked to gut microbial dysbiosis, but most studies have focused on bacteria, neglecting viruses and fungi, and their interactions. Here we show that MASLD is characterized by coordinated disruption of bacterial, viral and fungal communities and by a disturbed phage-bacteria-metabolite axis associated with disease-related bile acid changes. Integrating shotgun metagenomics, fungal ITS2 sequencing, fecal metabolomics and clinical profiling in 210 patients with MASLD and 210 age- and gender-matched healthy controls, we find reduced microbial diversity and extensive remodeling of cross-kingdom ecological networks in MASLD. Ruminococcus gnavus emerges as an enriched central hub, while Faecalibacterium prausnitzii and its associated bacteriophages are depleted. Phage-host analyses further reveal reduced lytic activity against R. gnavus and loss of sulfur amino acid metabolism-related auxiliary metabolic genes, which may impair F. prausnitzii fitness. Diminished phage control may facilitate R. gnavus expansion, alongside increased fecal isodeoxycholic acid, a secondary bile acid implicated in hepatic steatosis. A diagnostic classifier integrating bacterial and viral features with clinical parameters distinguish MASLD from controls in our cohort and maintain predictive performance in two external datasets. Together, these findings uncover a disrupted phage-bacteria-metabolite axis in MASLD and provide a multi-kingdom framework for non-invasive biomarker discovery and microbiome-targeted therapies.
Additional Links: PMID-42000726
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@article {pmid42000726,
year = {2026},
author = {Zhou, X and Zhou, D and Pu, Y and Kim, H and Sun, Z and Qi, W and Jin, J and Zhang, W and Xia, M and Wang, C and Hong, S and Nguyen, LH and Jiao, N and Zheng, Y and Liu, T},
title = {Multi-kingdom profiling reveals altered gut phage-bacteria-metabolite interactions in MASLD.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-71981-0},
pmid = {42000726},
issn = {2041-1723},
abstract = {Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly linked to gut microbial dysbiosis, but most studies have focused on bacteria, neglecting viruses and fungi, and their interactions. Here we show that MASLD is characterized by coordinated disruption of bacterial, viral and fungal communities and by a disturbed phage-bacteria-metabolite axis associated with disease-related bile acid changes. Integrating shotgun metagenomics, fungal ITS2 sequencing, fecal metabolomics and clinical profiling in 210 patients with MASLD and 210 age- and gender-matched healthy controls, we find reduced microbial diversity and extensive remodeling of cross-kingdom ecological networks in MASLD. Ruminococcus gnavus emerges as an enriched central hub, while Faecalibacterium prausnitzii and its associated bacteriophages are depleted. Phage-host analyses further reveal reduced lytic activity against R. gnavus and loss of sulfur amino acid metabolism-related auxiliary metabolic genes, which may impair F. prausnitzii fitness. Diminished phage control may facilitate R. gnavus expansion, alongside increased fecal isodeoxycholic acid, a secondary bile acid implicated in hepatic steatosis. A diagnostic classifier integrating bacterial and viral features with clinical parameters distinguish MASLD from controls in our cohort and maintain predictive performance in two external datasets. Together, these findings uncover a disrupted phage-bacteria-metabolite axis in MASLD and provide a multi-kingdom framework for non-invasive biomarker discovery and microbiome-targeted therapies.},
}
RevDate: 2026-04-18
Genomica: linear mixed model based, multiple hypothesis testing corrected, ortholog functional enrichment analysis.
BMC bioinformatics pii:10.1186/s12859-026-06450-y [Epub ahead of print].
BACKGROUND: The analysis of ortholog genes derived from metagenomic experiments provides an invaluable opportunity to assess the functional role of microbial communities towards, for example, antimicrobial resistance or biochemical pathways under different experimental conditions. Nevertheless, the integration of the statistical analysis of these complex data sets and the enrichment of the derived significantly differential abundant orthologs is not currently facilitated by existing software. Genomica is an R package that, with minimal input from the user, allows to perform a double-step analysis of functional orthologs from the KEGG Orthology. The pipeline is carried out via combining false discovery rate corrected linear mixed models to functional enrichment analysis through integrating established R pipelines (i.e., lme4 and MicrobiomeProfiler).
RESULTS: Only two data frames are needed as input to run Genomica, which contain data and metadata, respectively. The fast pipeline integrated within the function Genomica allows to analyze 4000 orthologs in circa 3 min. The outputs are collected in a single directory, containing publication-ready results from the linear mixed model and from the enrichment analysis. The Benjamini & Hochberg correction is applied to the results from the linear mixed model, therefore only P adjusted significant comparisons are further included in the enrichment analysis.
CONCLUSIONS: Genomica is a simple-to-use R package to analyze complex datasets, integrating a well-founded statistical analysis, accounting for the calculation of the type I error under repeated testing, with the enrichment analysis of the significantly differential abundant orthologs across experimental conditions, all with minimal input from the user.
Additional Links: PMID-42001033
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@article {pmid42001033,
year = {2026},
author = {Galgano, S},
title = {Genomica: linear mixed model based, multiple hypothesis testing corrected, ortholog functional enrichment analysis.},
journal = {BMC bioinformatics},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12859-026-06450-y},
pmid = {42001033},
issn = {1471-2105},
abstract = {BACKGROUND: The analysis of ortholog genes derived from metagenomic experiments provides an invaluable opportunity to assess the functional role of microbial communities towards, for example, antimicrobial resistance or biochemical pathways under different experimental conditions. Nevertheless, the integration of the statistical analysis of these complex data sets and the enrichment of the derived significantly differential abundant orthologs is not currently facilitated by existing software. Genomica is an R package that, with minimal input from the user, allows to perform a double-step analysis of functional orthologs from the KEGG Orthology. The pipeline is carried out via combining false discovery rate corrected linear mixed models to functional enrichment analysis through integrating established R pipelines (i.e., lme4 and MicrobiomeProfiler).
RESULTS: Only two data frames are needed as input to run Genomica, which contain data and metadata, respectively. The fast pipeline integrated within the function Genomica allows to analyze 4000 orthologs in circa 3 min. The outputs are collected in a single directory, containing publication-ready results from the linear mixed model and from the enrichment analysis. The Benjamini & Hochberg correction is applied to the results from the linear mixed model, therefore only P adjusted significant comparisons are further included in the enrichment analysis.
CONCLUSIONS: Genomica is a simple-to-use R package to analyze complex datasets, integrating a well-founded statistical analysis, accounting for the calculation of the type I error under repeated testing, with the enrichment analysis of the significantly differential abundant orthologs across experimental conditions, all with minimal input from the user.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Longitudinal source-sink dynamics of fecal litter and farm indoor environmental resistomes in broiler chicken and Cherry Valley ducks.
Animal microbiome, 8(1):.
BACKGROUND: Antimicrobial resistance is a major One Health threat, and intensive poultry systems function as amplifiers. Although broilers and ducks are reared under similarly controlled conditions, their microecologies diverge. Integrated, longitudinal source-sink analyses quantifying overlap and directional flux between host-associated and environmental resistomes remain scarce. A two-year (2022–2024), longitudinal, commercial-scale comparison was undertaken across 15 stocking cycles under harmonized husbandry in Ross 308 broiler and Cherry Valley duck. Parallel shotgun metagenomics profiled fecal litter and farm indoor environments across standardized production, with daily monitoring in one complete cycle per system; in total, 96 pooled samples were sequenced to quantify cross-compartment overlaps.
RESULTS: Antibiotic resistance gene (ARG) reservoir dominance proved to be system-specific, duck systems were environment-centric, whereas broiler systems were fecal litter-centric. Although overall ARG diversity was similar between systems (broiler 2,542; duck 2,494 types), ducks exhibited greater compartmental divergence, with ~ 2.6-fold more environment-unique ARGs than paired fecal litter and 1.15-fold higher environmental richness than broilers. Compartment coupling also differed: broilers showed tighter host-environment overlap, while ducks were more partitioned. A shared environmental ARG pool (57.5%) indicated substantial cross-system exchange potential. Temporally, shared ARGs accumulated across the grow-out and peaked pre-depopulation. The distribution of significant ARG carrier species revealed asymmetric host-environment coupling: overlap across compartments was 66.67% in broilers versus 45.45% in ducks, notably. The impact of antimicrobial use was nuanced: short, targeted courses were associated with lower aaAMR burden overall Collectively, the recurrent detection of clinically consequential carriers (P. aeruginosa, E. coli, A. baumannii, S. aureus, K. pneumoniae, S. maltophilia, toxigenic Clostridium spp.) underscored One Health risks of zoonotic spillover and food-chain contamination.
CONCLUSION: Reservoir behavior in intensive poultry systems should be treated as system-specific, and matrix-targeted, with biofilm and humidity management prioritized in duck operations, and litter/manure control emphasized in broilers. The finisher-depopulation window emerges as a critical intervention point, warranting intensified mitigation clean-out. Finally, mitigation should extend beyond individual farms to transport crates, vehicles, shared equipment, and supply chains.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42523-026-00544-x.
Additional Links: PMID-41803939
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Citation:
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@article {pmid41803939,
year = {2026},
author = {Fauszt, P and Mikolas, M and David, P and Szoke, Z and Gashi, N and Szilagyi-Tolnai, E and Szilágyi, E and Szarvas, MM and Fazekas, ME and Kun-Nemes, A and Stagel, A and Gal, F and Czegledi, L and Biro, S and Stundl, L and Remenyik, J and Paholcsek, M},
title = {Longitudinal source-sink dynamics of fecal litter and farm indoor environmental resistomes in broiler chicken and Cherry Valley ducks.},
journal = {Animal microbiome},
volume = {8},
number = {1},
pages = {},
pmid = {41803939},
issn = {2524-4671},
abstract = {BACKGROUND: Antimicrobial resistance is a major One Health threat, and intensive poultry systems function as amplifiers. Although broilers and ducks are reared under similarly controlled conditions, their microecologies diverge. Integrated, longitudinal source-sink analyses quantifying overlap and directional flux between host-associated and environmental resistomes remain scarce. A two-year (2022–2024), longitudinal, commercial-scale comparison was undertaken across 15 stocking cycles under harmonized husbandry in Ross 308 broiler and Cherry Valley duck. Parallel shotgun metagenomics profiled fecal litter and farm indoor environments across standardized production, with daily monitoring in one complete cycle per system; in total, 96 pooled samples were sequenced to quantify cross-compartment overlaps.
RESULTS: Antibiotic resistance gene (ARG) reservoir dominance proved to be system-specific, duck systems were environment-centric, whereas broiler systems were fecal litter-centric. Although overall ARG diversity was similar between systems (broiler 2,542; duck 2,494 types), ducks exhibited greater compartmental divergence, with ~ 2.6-fold more environment-unique ARGs than paired fecal litter and 1.15-fold higher environmental richness than broilers. Compartment coupling also differed: broilers showed tighter host-environment overlap, while ducks were more partitioned. A shared environmental ARG pool (57.5%) indicated substantial cross-system exchange potential. Temporally, shared ARGs accumulated across the grow-out and peaked pre-depopulation. The distribution of significant ARG carrier species revealed asymmetric host-environment coupling: overlap across compartments was 66.67% in broilers versus 45.45% in ducks, notably. The impact of antimicrobial use was nuanced: short, targeted courses were associated with lower aaAMR burden overall Collectively, the recurrent detection of clinically consequential carriers (P. aeruginosa, E. coli, A. baumannii, S. aureus, K. pneumoniae, S. maltophilia, toxigenic Clostridium spp.) underscored One Health risks of zoonotic spillover and food-chain contamination.
CONCLUSION: Reservoir behavior in intensive poultry systems should be treated as system-specific, and matrix-targeted, with biofilm and humidity management prioritized in duck operations, and litter/manure control emphasized in broilers. The finisher-depopulation window emerges as a critical intervention point, warranting intensified mitigation clean-out. Finally, mitigation should extend beyond individual farms to transport crates, vehicles, shared equipment, and supply chains.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42523-026-00544-x.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Omics integration reveals how the gut microbiota of Warmblood horses responds to equestrian show jumping-a short-duration, high-intensity technical exercise stress.
Animal microbiome, 8(1):.
BACKGROUND: Intestinal microbial homeostasis and metabolic balance play a crucial role in maintaining normal physiological function in horses. Exogenous stress involving abrupt turns and jumps during show jumping significantly impacts intestinal microbial homeostasis and metabolic balance in these animals.
RESULTS: By comparing rectal (faecal) samples from 10 Warmblood horses collected before and immediately after a show jumping competition on the same day, we observed substantial alterations in intestinal microbial homeostasis and metabolic balance post-exercise. Microbial evenness significantly increased following the competition, accompanied by enrichment of specific taxa such as Bacteroides, Ruminococcus, Prevotella, and Fibrobacter. Metabolite analysis revealed a marked decrease in antioxidant-related compounds, including orsellinic acid, 2,3-dimethyl-2-cyclohexen-1-one, and (1 R,6 R)-1,4,5,5a,6,9-hexahydrophenazine-1,6-dicarboxylate. Conversely, glucosan and thiamine pyrophosphate levels increased. Post-competition, membrane lipid metabolism pathways were significantly downregulated, while antioxidant responses and energy metabolism pathways were upregulated. Spearman correlation analysis indicated positive associations between Fibrobacter, Ruminococcus, and Prevotella with energy metabolism-related metabolites, whereas Lysinibacillus correlated positively with metabolites involved in antioxidant activity and intestinal mucosal protection.
CONCLUSION: Collectively, our findings demonstrate that show jumping induces shifts in intestinal microbial homeostasis and metabolic balance in Warmblood horses. These adaptations appear conducive to preserving epithelial integrity and enhancing energy provision to meet the demands of high-intensity exercise. This study provides novel insights into the impact of acute high-intensity exercise on equine gut microbial dynamics and metabolism, offering a theoretical basis for probiotic-based interventions to support intestinal health in sport horses.
Additional Links: PMID-41827064
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@article {pmid41827064,
year = {2026},
author = {Yu, S and Yue, X and Yang, Q and Xu, P and Yuan, H and Tang, W and Luan, Y and Wang, Q},
title = {Omics integration reveals how the gut microbiota of Warmblood horses responds to equestrian show jumping-a short-duration, high-intensity technical exercise stress.},
journal = {Animal microbiome},
volume = {8},
number = {1},
pages = {},
pmid = {41827064},
issn = {2524-4671},
abstract = {BACKGROUND: Intestinal microbial homeostasis and metabolic balance play a crucial role in maintaining normal physiological function in horses. Exogenous stress involving abrupt turns and jumps during show jumping significantly impacts intestinal microbial homeostasis and metabolic balance in these animals.
RESULTS: By comparing rectal (faecal) samples from 10 Warmblood horses collected before and immediately after a show jumping competition on the same day, we observed substantial alterations in intestinal microbial homeostasis and metabolic balance post-exercise. Microbial evenness significantly increased following the competition, accompanied by enrichment of specific taxa such as Bacteroides, Ruminococcus, Prevotella, and Fibrobacter. Metabolite analysis revealed a marked decrease in antioxidant-related compounds, including orsellinic acid, 2,3-dimethyl-2-cyclohexen-1-one, and (1 R,6 R)-1,4,5,5a,6,9-hexahydrophenazine-1,6-dicarboxylate. Conversely, glucosan and thiamine pyrophosphate levels increased. Post-competition, membrane lipid metabolism pathways were significantly downregulated, while antioxidant responses and energy metabolism pathways were upregulated. Spearman correlation analysis indicated positive associations between Fibrobacter, Ruminococcus, and Prevotella with energy metabolism-related metabolites, whereas Lysinibacillus correlated positively with metabolites involved in antioxidant activity and intestinal mucosal protection.
CONCLUSION: Collectively, our findings demonstrate that show jumping induces shifts in intestinal microbial homeostasis and metabolic balance in Warmblood horses. These adaptations appear conducive to preserving epithelial integrity and enhancing energy provision to meet the demands of high-intensity exercise. This study provides novel insights into the impact of acute high-intensity exercise on equine gut microbial dynamics and metabolism, offering a theoretical basis for probiotic-based interventions to support intestinal health in sport horses.},
}
RevDate: 2026-04-17
Fecal virome at the human-animal interface: a one health perspective on an uncharted frontier.
Animal microbiome pii:10.1186/s42523-026-00569-2 [Epub ahead of print].
Additional Links: PMID-41992382
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PubMed:
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@article {pmid41992382,
year = {2026},
author = {Cuteri, V and Preziuso, S and Li, Y and Laus, F},
title = {Fecal virome at the human-animal interface: a one health perspective on an uncharted frontier.},
journal = {Animal microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s42523-026-00569-2},
pmid = {41992382},
issn = {2524-4671},
}
RevDate: 2026-04-17
Unraveling the colonization process of microeukaryotic communities on artificial micro-ecological islands.
Environmental microbiome pii:10.1186/s40793-026-00897-5 [Epub ahead of print].
BACKGROUND: Micro-ecological islands provide unique habitats for microbes and play a crucial role in the functioning of aquatic ecosystems. Microbes settle on these micro-ecological islands, forming distinct microbial communities. Previous studies have provided some understanding of the colonization processes and regulatory mechanisms of protozoa in microbial communities. However, these islands are also subject to colonization by a variety of microbes beyond protozoa, and comprehensive cross-kingdom studies and their potential mechanisms remain largely unexplored.
RESULTS: Using polyurethane foam units (PFU) to simulate micro-ecological islands, we studied the colonization dynamics of microbes in two distinct aquatic ecosystems, the Yangtze River and East Lake. Over 10-day colonization survey was conducted, we applied eDNA-PFU technology combined with metagenomic sequencing to comprehensively identify species present in the microbial communities, including bacteria, fungi, flagellates, protozoa, and metazoa. We found that microeukaryotes, rather than prokaryotes, were the primary colonizers in these two aquatic ecosystems. Our study reveals a colonization process of microeukaryotes in PFUs, profoundly influenced by their motility modes. Additionally, we propose a hypothetical food web framework within micro-ecological islands that maintains community stability, representing the most fundamental biological interactions.
CONCLUSIONS: Overall, this study enriches our understanding of micro-ecological islands and provides deeper insights into the colonization processes and regulatory mechanisms of microbial communities. It highlights the practical significance of micro-ecological islands in biological resource management, environmental protection, and biodiversity conservation.
Additional Links: PMID-41992389
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PubMed:
Citation:
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@article {pmid41992389,
year = {2026},
author = {Gu, S and Jiang, C and Zhang, P and Luo, S and Gong, Y and Feng, W and Xiong, J and Zhang, J and Chen, K and Ning, K and Miao, W},
title = {Unraveling the colonization process of microeukaryotic communities on artificial micro-ecological islands.},
journal = {Environmental microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40793-026-00897-5},
pmid = {41992389},
issn = {2524-6372},
support = {2022FY100400//the Science & Technology Fundamental Resources Investigation Program/ ; 2022xjkk0204//the Third Xinjiang Scientific Expedition Program/ ; U22A20454//the National Natural Science Foundation of China/ ; SNJNP2022008//the Background Resources Survey in Shennongjia National Park/ ; SNJGKL2022008//the Open Project Fund of Hubei Provincial Key Laboratory for Conservation Biology of Shennongjia Snub-nosed Monkeys/ ; },
abstract = {BACKGROUND: Micro-ecological islands provide unique habitats for microbes and play a crucial role in the functioning of aquatic ecosystems. Microbes settle on these micro-ecological islands, forming distinct microbial communities. Previous studies have provided some understanding of the colonization processes and regulatory mechanisms of protozoa in microbial communities. However, these islands are also subject to colonization by a variety of microbes beyond protozoa, and comprehensive cross-kingdom studies and their potential mechanisms remain largely unexplored.
RESULTS: Using polyurethane foam units (PFU) to simulate micro-ecological islands, we studied the colonization dynamics of microbes in two distinct aquatic ecosystems, the Yangtze River and East Lake. Over 10-day colonization survey was conducted, we applied eDNA-PFU technology combined with metagenomic sequencing to comprehensively identify species present in the microbial communities, including bacteria, fungi, flagellates, protozoa, and metazoa. We found that microeukaryotes, rather than prokaryotes, were the primary colonizers in these two aquatic ecosystems. Our study reveals a colonization process of microeukaryotes in PFUs, profoundly influenced by their motility modes. Additionally, we propose a hypothetical food web framework within micro-ecological islands that maintains community stability, representing the most fundamental biological interactions.
CONCLUSIONS: Overall, this study enriches our understanding of micro-ecological islands and provides deeper insights into the colonization processes and regulatory mechanisms of microbial communities. It highlights the practical significance of micro-ecological islands in biological resource management, environmental protection, and biodiversity conservation.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Predicting beef diet nutritional composition and intake from rumen metagenomic profiles.
Animal nutrition (Zhongguo xu mu shou yi xue hui), 25:297-309.
Knowledge of diet composition and intake levels in beef cattle is valuable for post hoc feed traceability and for more accurate modelling of the diet impact on methane emissions and performance traits. However, a direct measure of this information can be costly and labour-intensive and is not always feasible. In this study, rumen metagenomic data combined with machine learning algorithms were used to predict diet type, nutritional composition, and intake levels. An external validation to assess the generalizability of the models was also performed. Rumen samples were collected from 142 animals belonging to two breeds, Luing (n = 70) and Charolais crossbred (n = 72), with 425.6 ± 43.5 d old and 461.9 ± 70.2 kg body weight. The animals participated in a 56-d feeding trial and were assigned to diets differing in forage-to-concentrate ratio, with 72 animals receiving a concentrate-based diet and 70 receiving a forage-based diet. Liquid ruminal contents were collected immediately postmortem and subsequently subjected to metagenomic sequencing. Based on these sequences, the relative abundance of microbial genes (MGs), microbial genera (MTs), and phyla were determined. The log-ratio between the abundances of Verrucomicrobia and Chlorobi discriminated diet type with an average classification accuracy of 0.86 ± 0.05, while using the log-ratio transformed abundances of 4769 MTs and MGs as predictors reached 0.90 ± 0.05. All this microbiome information was used in a random forest model to predict continuous values for nutritional diet components starch, crude protein, neutral and acid detergent fibre, and metabolizable and gross energy with external validation prediction accuracy values between 0.77 and 0.83. Microbiome features important for prediction of diet components such as fibre and starch included Mitsuokella, Selenomonas, and MGs involved in flagellar assembly and aminoacyl-tRNA biosynthesis. Microbiome data were more informative for predicting the feed composition than the amount of feed consumed, which reached a prediction accuracy of 0.27 ± 0.12 for dry matter intake (DMI). However, microbiome data can still be used as a screening tool to classify DMI into low, medium, or high with a classification accuracy of 0.74. Incorporating dietary information into linear phenotypic and genetic models to predict methane production (MP) and DMI reduced root mean square error (RMSE) by 26.9% and 9.6%, respectively, in the phenotypic model. In the genetic model, only MP showed a reduction in RMSE, with a 31% improvement. These findings highlight rumen microbiome data as a valuable tool for the post hoc prediction of feed composition in beef cattle.
Additional Links: PMID-41993122
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@article {pmid41993122,
year = {2026},
author = {Saez-Torillo, SN and Danielsson, R and Nguyen, TQ and Lima, J and Cleveland, MA and Roehe, R and Martínez-Álvaro, M},
title = {Predicting beef diet nutritional composition and intake from rumen metagenomic profiles.},
journal = {Animal nutrition (Zhongguo xu mu shou yi xue hui)},
volume = {25},
number = {},
pages = {297-309},
pmid = {41993122},
issn = {2405-6383},
abstract = {Knowledge of diet composition and intake levels in beef cattle is valuable for post hoc feed traceability and for more accurate modelling of the diet impact on methane emissions and performance traits. However, a direct measure of this information can be costly and labour-intensive and is not always feasible. In this study, rumen metagenomic data combined with machine learning algorithms were used to predict diet type, nutritional composition, and intake levels. An external validation to assess the generalizability of the models was also performed. Rumen samples were collected from 142 animals belonging to two breeds, Luing (n = 70) and Charolais crossbred (n = 72), with 425.6 ± 43.5 d old and 461.9 ± 70.2 kg body weight. The animals participated in a 56-d feeding trial and were assigned to diets differing in forage-to-concentrate ratio, with 72 animals receiving a concentrate-based diet and 70 receiving a forage-based diet. Liquid ruminal contents were collected immediately postmortem and subsequently subjected to metagenomic sequencing. Based on these sequences, the relative abundance of microbial genes (MGs), microbial genera (MTs), and phyla were determined. The log-ratio between the abundances of Verrucomicrobia and Chlorobi discriminated diet type with an average classification accuracy of 0.86 ± 0.05, while using the log-ratio transformed abundances of 4769 MTs and MGs as predictors reached 0.90 ± 0.05. All this microbiome information was used in a random forest model to predict continuous values for nutritional diet components starch, crude protein, neutral and acid detergent fibre, and metabolizable and gross energy with external validation prediction accuracy values between 0.77 and 0.83. Microbiome features important for prediction of diet components such as fibre and starch included Mitsuokella, Selenomonas, and MGs involved in flagellar assembly and aminoacyl-tRNA biosynthesis. Microbiome data were more informative for predicting the feed composition than the amount of feed consumed, which reached a prediction accuracy of 0.27 ± 0.12 for dry matter intake (DMI). However, microbiome data can still be used as a screening tool to classify DMI into low, medium, or high with a classification accuracy of 0.74. Incorporating dietary information into linear phenotypic and genetic models to predict methane production (MP) and DMI reduced root mean square error (RMSE) by 26.9% and 9.6%, respectively, in the phenotypic model. In the genetic model, only MP showed a reduction in RMSE, with a 31% improvement. These findings highlight rumen microbiome data as a valuable tool for the post hoc prediction of feed composition in beef cattle.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Engineered Lactate Catabolizing Probiotics Reveal Timescale Dependent Microbiome-Host Metabolic Coupling.
bioRxiv : the preprint server for biology pii:2026.04.07.716956.
The exchange of lactate, a metabolic substrate and regulator, between the gut lumen and systemic circulation for use in host and microbial processes is well documented, but tools capable of uncovering whether this process influences host metabolic status across acute and chronic contexts are lacking. In our prior work, we engineered probiotic Bacillus subtilis PY79 to produce lactate oxidase (LOX) intracellularly, allowing it to rapidly convert intestinal lactate to pyruvate. Following oral administration, LOX reduced systemic lactate concentrations at rest and under challenge conditions, providing a platform for investigating lactate's influence on host metabolism and microbiota. In the present work, we demonstrate that acute LOX administration effectively rewired microbiota function and host energy balance, as revealed by 16S sequencing and indirect calorimetry. In silico microbial community modeling via MICOM and metagenomic inference via PICRUSt2 suggested that acute shunting of lactate to pyruvate induced microbiota remodeling towards anabolic processes, reflected by increased flux of pyruvate, acetate, and formate, alongside moderate to large increases (Cohen's d = 0.60-1.00) in pathways for fructan degradation, B-vitamin biosynthesis, and lipid synthesis. These anabolic shifts temporally aligned with transient increases in host energy expenditure (β = 1.08, p<0.05) via glucose oxidation (β = 0.01, p<0.05), hinting at functional coupling between microbial biosynthesis and host energy balance via lactate exchange. Of note, acute LOX administration also improved thermoregulation and survival following LPS-induced sepsis, demonstrating functional relevance of these metabolic effects during acute inflammatory challenge. To assess chronic effects, we administered LOX for 6 weeks during diet-induced obesity. LOX treatment persistently reduced blood lactate. However, this chronic lactate reduction did not curtail the progression of diet-induced obesity or induce sustained modulation of host energy expenditure. This disconnect between acute and chronic findings suggests that gut-centric lactate conversion affects energy balance through microbiome and/or host-dependent mechanisms, but cannot override homeostatic forces in the long term to produce clinical benefit during chronic disease. Our results validate LOX probiotics as a tool for acute metabolic augmentation, and highlight a clear homeostatic limit to gut-centric therapies. This platform may enable targeted design of probiotic interventions matched to therapeutic timescale and inform synbiotic formulations that overcome homeostatic compensation.
Additional Links: PMID-41993390
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@article {pmid41993390,
year = {2026},
author = {Hutchinson, NT and Ye, N and Jennings, M and Fang, C and Qi, N and Li, J},
title = {Engineered Lactate Catabolizing Probiotics Reveal Timescale Dependent Microbiome-Host Metabolic Coupling.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.04.07.716956},
pmid = {41993390},
issn = {2692-8205},
abstract = {The exchange of lactate, a metabolic substrate and regulator, between the gut lumen and systemic circulation for use in host and microbial processes is well documented, but tools capable of uncovering whether this process influences host metabolic status across acute and chronic contexts are lacking. In our prior work, we engineered probiotic Bacillus subtilis PY79 to produce lactate oxidase (LOX) intracellularly, allowing it to rapidly convert intestinal lactate to pyruvate. Following oral administration, LOX reduced systemic lactate concentrations at rest and under challenge conditions, providing a platform for investigating lactate's influence on host metabolism and microbiota. In the present work, we demonstrate that acute LOX administration effectively rewired microbiota function and host energy balance, as revealed by 16S sequencing and indirect calorimetry. In silico microbial community modeling via MICOM and metagenomic inference via PICRUSt2 suggested that acute shunting of lactate to pyruvate induced microbiota remodeling towards anabolic processes, reflected by increased flux of pyruvate, acetate, and formate, alongside moderate to large increases (Cohen's d = 0.60-1.00) in pathways for fructan degradation, B-vitamin biosynthesis, and lipid synthesis. These anabolic shifts temporally aligned with transient increases in host energy expenditure (β = 1.08, p<0.05) via glucose oxidation (β = 0.01, p<0.05), hinting at functional coupling between microbial biosynthesis and host energy balance via lactate exchange. Of note, acute LOX administration also improved thermoregulation and survival following LPS-induced sepsis, demonstrating functional relevance of these metabolic effects during acute inflammatory challenge. To assess chronic effects, we administered LOX for 6 weeks during diet-induced obesity. LOX treatment persistently reduced blood lactate. However, this chronic lactate reduction did not curtail the progression of diet-induced obesity or induce sustained modulation of host energy expenditure. This disconnect between acute and chronic findings suggests that gut-centric lactate conversion affects energy balance through microbiome and/or host-dependent mechanisms, but cannot override homeostatic forces in the long term to produce clinical benefit during chronic disease. Our results validate LOX probiotics as a tool for acute metabolic augmentation, and highlight a clear homeostatic limit to gut-centric therapies. This platform may enable targeted design of probiotic interventions matched to therapeutic timescale and inform synbiotic formulations that overcome homeostatic compensation.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Ecology of metagenomes: incorporating genotype-to-phenotype maps into ecological models.
bioRxiv : the preprint server for biology pii:2026.04.07.717079.
UNLABELLED: A major theoretical problem in community ecology is to understand how genes, organisms, and environments combine to shape the structure and diversity of ecological communities. However, most classic ecological models work entirely with phenotypic parameters, neglecting the central role played by genes. This limitation is particularly acute in microbial ecology, where the widespread use of sequencing technologies allows researchers to directly measure the genomic and metagenomic properties of communities. Here, we bridge this gap by incorporating genotype-to-phenotype maps into classical ecological models, including the generalized Lotka-Volterra model (GLV) and consumer resource models (CRMs). We focus on the case where genotype-to-phenotype maps are linear, which provides a tractable yet powerful framework for analyzing complex traits. Even in this simple setting, the resulting ecological dynamics give rise to novel gene-level ecological dynamics that can be recast entirely in terms of genes, allowing us to develop an ecology of metagenomes. We find that ecological interactions between genes lead to pervasive "metagenomic hitchhiking" - low-fitness genes can survive in the ecosystem because they are integrated into genomes of high-fitness species. We also show that phylogenetic relationships between species mold the ability of closely related strains to stably coexist in complex communities. This highlights how lineage structure and competitive interactions jointly shape community composition. Our framework provides a principled foundation for interpreting metagenomic data through the lens of ecological theory.
AUTHOR SUMMARY: Recent advances in sequencing technologies have transformed our ability to characterize microbial communities at the genomic level. However, most classic ecological models work entirely with phenotypic parameters, neglecting the central role played by genes. Here, we address this gap by extending classical ecological models to explicitly include genotype-to-phenotype maps. We focus on complex traits where the genotype-to-phenotype map is approximately linear. We show that the resulting ecological dynamics that can be recast entirely in terms of genes, allowing us to develop an ecology of metagenomes. Our framework provides a novel perspective for interpreting metagenomic data through the lens of ecological theory.
Additional Links: PMID-41993414
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@article {pmid41993414,
year = {2026},
author = {Liu, S and Mehta, P},
title = {Ecology of metagenomes: incorporating genotype-to-phenotype maps into ecological models.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.04.07.717079},
pmid = {41993414},
issn = {2692-8205},
abstract = {UNLABELLED: A major theoretical problem in community ecology is to understand how genes, organisms, and environments combine to shape the structure and diversity of ecological communities. However, most classic ecological models work entirely with phenotypic parameters, neglecting the central role played by genes. This limitation is particularly acute in microbial ecology, where the widespread use of sequencing technologies allows researchers to directly measure the genomic and metagenomic properties of communities. Here, we bridge this gap by incorporating genotype-to-phenotype maps into classical ecological models, including the generalized Lotka-Volterra model (GLV) and consumer resource models (CRMs). We focus on the case where genotype-to-phenotype maps are linear, which provides a tractable yet powerful framework for analyzing complex traits. Even in this simple setting, the resulting ecological dynamics give rise to novel gene-level ecological dynamics that can be recast entirely in terms of genes, allowing us to develop an ecology of metagenomes. We find that ecological interactions between genes lead to pervasive "metagenomic hitchhiking" - low-fitness genes can survive in the ecosystem because they are integrated into genomes of high-fitness species. We also show that phylogenetic relationships between species mold the ability of closely related strains to stably coexist in complex communities. This highlights how lineage structure and competitive interactions jointly shape community composition. Our framework provides a principled foundation for interpreting metagenomic data through the lens of ecological theory.
AUTHOR SUMMARY: Recent advances in sequencing technologies have transformed our ability to characterize microbial communities at the genomic level. However, most classic ecological models work entirely with phenotypic parameters, neglecting the central role played by genes. Here, we address this gap by extending classical ecological models to explicitly include genotype-to-phenotype maps. We focus on complex traits where the genotype-to-phenotype map is approximately linear. We show that the resulting ecological dynamics that can be recast entirely in terms of genes, allowing us to develop an ecology of metagenomes. Our framework provides a novel perspective for interpreting metagenomic data through the lens of ecological theory.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
End-to-end evaluation of pipelines for metagenome-assembled genomes reveals hidden performance gaps.
bioRxiv : the preprint server for biology pii:2026.04.06.712906.
The generation of Metagenome Assembled Genomes (MAGs) has become a standard and basic step in the analysis of metagenomic data. This multi-step process, which includes assembly, binning, refinement, and quality control, has many alternative approaches, algorithms, and parameters. Determining the ideal approach for a given ecosystem and study, or highlighting algorithmic gaps in need of additional research and development, requires rigorous benchmarking. We present MAG-E (MAG pipeline E valuator), a generalizable and expandable framework for end-to-end evaluation of entire MAG pipelines: from assembly, through binning, to quality control and filtering. MAG-E relies on simulations that are built to match an ecosystem of interest and provide a ground truth for accurate evaluation. To demonstrate the capabilities of MAG-E, we benchmark two assemblers, six binning algorithms, three binning modes, and three quality control and refinement methods in the context of the human gut microbiome. Our findings offer multiple insights into optimal MAG generation in this context. We find that metaSPAdes consistently outperforms MEGAHIT in terms of recall (completeness), and that COMEBin overall outperforms alternative binning algorithms, but has lower precision than SemiBin2. While multi-sample binning results in higher precision, as previously shown, single-sample binning has higher recall and leads to better overall performance with modern binners. Binning refinement, which combines bins from multiple different algorithms, leads to reduced performance. We further show that CheckM2 systematically overestimates completeness and underestimates contamination, and that this is partially ameliorated when using GUNC. Finally, we analyze performance at the contig level, and demonstrate that binning algorithms systematically underperform for prophages and fail to bin contigs that are shared between genomes. Overall, MAG-E offers deep insights into successes and gaps in this important analytic process.
Additional Links: PMID-41993507
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@article {pmid41993507,
year = {2026},
author = {Coleman, I and Ma, J and Qian, G and Jiang, Y and Brown Kav, A and Korem, T},
title = {End-to-end evaluation of pipelines for metagenome-assembled genomes reveals hidden performance gaps.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.04.06.712906},
pmid = {41993507},
issn = {2692-8205},
abstract = {The generation of Metagenome Assembled Genomes (MAGs) has become a standard and basic step in the analysis of metagenomic data. This multi-step process, which includes assembly, binning, refinement, and quality control, has many alternative approaches, algorithms, and parameters. Determining the ideal approach for a given ecosystem and study, or highlighting algorithmic gaps in need of additional research and development, requires rigorous benchmarking. We present MAG-E (MAG pipeline E valuator), a generalizable and expandable framework for end-to-end evaluation of entire MAG pipelines: from assembly, through binning, to quality control and filtering. MAG-E relies on simulations that are built to match an ecosystem of interest and provide a ground truth for accurate evaluation. To demonstrate the capabilities of MAG-E, we benchmark two assemblers, six binning algorithms, three binning modes, and three quality control and refinement methods in the context of the human gut microbiome. Our findings offer multiple insights into optimal MAG generation in this context. We find that metaSPAdes consistently outperforms MEGAHIT in terms of recall (completeness), and that COMEBin overall outperforms alternative binning algorithms, but has lower precision than SemiBin2. While multi-sample binning results in higher precision, as previously shown, single-sample binning has higher recall and leads to better overall performance with modern binners. Binning refinement, which combines bins from multiple different algorithms, leads to reduced performance. We further show that CheckM2 systematically overestimates completeness and underestimates contamination, and that this is partially ameliorated when using GUNC. Finally, we analyze performance at the contig level, and demonstrate that binning algorithms systematically underperform for prophages and fail to bin contigs that are shared between genomes. Overall, MAG-E offers deep insights into successes and gaps in this important analytic process.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Gut microbiome-dependent IL-1 signaling is a mediator of ACVR1 [R206H] -driven heterotopic ossification.
bioRxiv : the preprint server for biology pii:2026.04.05.716562.
UNLABELLED: Inflammatory diseases cause significant morbidity and mortality, but their pathobiology is often difficult to dissect due to complex genetic-environmental interactions. Genetic forms of heterotopic ossification, such as fibrodysplasia ossificans progressiva (FOP), reduce genetic variability, allowing careful dissection of non-genetic drivers of inflammation. While >95% of FOP patients harbor the ACVR1 [R206H] mutation, patients exhibit significant variability in disease progression, suggesting a role of environmental drivers. Here, we identify the gut microbiome as a regulator of inflammation-driven HO in FOP. Metagenomic profiling of cohabitating FOP/unaffected sibling pairs revealed a pathogenic gut microbiome profile in FOP patients (Bray-Curtis, p < 0.05). In Pdgfrα-Cre/Acvr1 [R206H] (FOP) mice, gut microbiome ablation by antibiotics reduced spontaneous HO formation (47.4% reduction, p < 0.05) and reduced plasma IL-1 pathway activity. IL-1β blockade in FOP mice suppressed trauma-induced HO formation. These findings identify a gut microbiome-IL-1-HO axis with modifiable targets for developing treatments for HO and related inflammatory conditions.
ONE SENTENCE SUMMARY: Antibiotic disruption of the gut microbiome reduces HO in FOP mice via an IL-1 mediated pathway.
Additional Links: PMID-41993555
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@article {pmid41993555,
year = {2026},
author = {Herzog, HM and Fang, C and Lam, L and Jin, K and Zamarioli, A and Dinh, E and Gupta, CL and Sharma, A and Moody, T and Pierce, JL and Hohl, MS and Takimoto, SW and Lyalina, S and Wentworth, KL and Yu, K and Lu, VF and Mamikunian, I and Hunt, NK and Lynch, S and Pollard, KS and Hernandez, CJ and Perrien, DS and Hsiao, EC},
title = {Gut microbiome-dependent IL-1 signaling is a mediator of ACVR1 [R206H] -driven heterotopic ossification.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.04.05.716562},
pmid = {41993555},
issn = {2692-8205},
abstract = {UNLABELLED: Inflammatory diseases cause significant morbidity and mortality, but their pathobiology is often difficult to dissect due to complex genetic-environmental interactions. Genetic forms of heterotopic ossification, such as fibrodysplasia ossificans progressiva (FOP), reduce genetic variability, allowing careful dissection of non-genetic drivers of inflammation. While >95% of FOP patients harbor the ACVR1 [R206H] mutation, patients exhibit significant variability in disease progression, suggesting a role of environmental drivers. Here, we identify the gut microbiome as a regulator of inflammation-driven HO in FOP. Metagenomic profiling of cohabitating FOP/unaffected sibling pairs revealed a pathogenic gut microbiome profile in FOP patients (Bray-Curtis, p < 0.05). In Pdgfrα-Cre/Acvr1 [R206H] (FOP) mice, gut microbiome ablation by antibiotics reduced spontaneous HO formation (47.4% reduction, p < 0.05) and reduced plasma IL-1 pathway activity. IL-1β blockade in FOP mice suppressed trauma-induced HO formation. These findings identify a gut microbiome-IL-1-HO axis with modifiable targets for developing treatments for HO and related inflammatory conditions.
ONE SENTENCE SUMMARY: Antibiotic disruption of the gut microbiome reduces HO in FOP mice via an IL-1 mediated pathway.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
The chromosomal genome sequence of the tubeworm, Lamellibrachia columna Southward, 1991 (Sabellida: Siboglinidae).
Wellcome open research, 11:127.
We present a genome assembly from an individual Lamellibrachia columna (tubeworm; Annelida; Polychaeta; Sabellida; Siboglinidae). The genome sequence has a total length of 879.73 megabases. Most of the assembly (99.96%) is scaffolded into 15 chromosomal pseudomolecules. The mitochondrial genome has also been assembled, with a length of 16.78 kilobases. Gene annotation of this assembly by Ensembl identified 21 983 protein-coding genes.
Additional Links: PMID-41993727
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@article {pmid41993727,
year = {2026},
author = {Sun, Y and Qiu, JW and Chen, C and Martín-Durán, JM 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 tubeworm, Lamellibrachia columna Southward, 1991 (Sabellida: Siboglinidae).},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {127},
pmid = {41993727},
issn = {2398-502X},
abstract = {We present a genome assembly from an individual Lamellibrachia columna (tubeworm; Annelida; Polychaeta; Sabellida; Siboglinidae). The genome sequence has a total length of 879.73 megabases. Most of the assembly (99.96%) is scaffolded into 15 chromosomal pseudomolecules. The mitochondrial genome has also been assembled, with a length of 16.78 kilobases. Gene annotation of this assembly by Ensembl identified 21 983 protein-coding genes.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
[13]C-labeled single-cell Raman sorting reveals sulfur-driven dark carbon fixation in coastal sediments.
ISME communications, 6(1):ycag073.
Chemoautotrophs drive carbon fixation in coastal sediments, but most of them remain uncultured with poorly characterized in situ activities. In this study, a cultivation-independent single-cell approach combining Raman spectroscopy with [13]C-stable isotope probing was developed to enable direct identification of active chemoautotrophs in coastal sediments using function-specific spectral biomarkers, targeted metagenomic sequencing and pure culture verification. [13]C-induced shifts in cytochrome c (749, 1129, 1312, 1589 cm[-1]) and phenylalanine (1002 cm[-1]) Raman bands were systematically evaluated and applied as functional biomarkers through investigations of both representative chemoautotrophic strains and environmental samples. The combined analysis of targeted sorting of active chemoautotrophic cells and metagenomic sequencing revealed dominant species and a complete Calvin-Benson-Bassham (CBB) cycle pathway in sulfur-oxidizing guilds. Remarkably, a novel sulfur-oxidizing chemoautotroph, Guyparkeria sp. TX1, which showed ≥99% gene sequence similarity to contigs recovered from sorted-cell metagenomes, was isolated from enrichment cultures. Its significant carbon fixation capacity provided experimental validation for the effectiveness of Raman-based in situ functional screening. This study establishes Raman-based functional biomarkers applicable to chemoautotrophic carbon fixation, enabling in situ mapping of microbial carbon fluxes. By integrating single-cell phenotypic activity with genomic potential, this work advances the mechanistic understanding of sulfur-driven dark carbon fixation, which sustains coastal blue carbon ecosystems as a keystone process.
Additional Links: PMID-41993799
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@article {pmid41993799,
year = {2026},
author = {Yue, XL and Wu, YH and Zheng, DQ and Sun, C and Xu, L and Cui, L and Xu, XW},
title = {[13]C-labeled single-cell Raman sorting reveals sulfur-driven dark carbon fixation in coastal sediments.},
journal = {ISME communications},
volume = {6},
number = {1},
pages = {ycag073},
pmid = {41993799},
issn = {2730-6151},
abstract = {Chemoautotrophs drive carbon fixation in coastal sediments, but most of them remain uncultured with poorly characterized in situ activities. In this study, a cultivation-independent single-cell approach combining Raman spectroscopy with [13]C-stable isotope probing was developed to enable direct identification of active chemoautotrophs in coastal sediments using function-specific spectral biomarkers, targeted metagenomic sequencing and pure culture verification. [13]C-induced shifts in cytochrome c (749, 1129, 1312, 1589 cm[-1]) and phenylalanine (1002 cm[-1]) Raman bands were systematically evaluated and applied as functional biomarkers through investigations of both representative chemoautotrophic strains and environmental samples. The combined analysis of targeted sorting of active chemoautotrophic cells and metagenomic sequencing revealed dominant species and a complete Calvin-Benson-Bassham (CBB) cycle pathway in sulfur-oxidizing guilds. Remarkably, a novel sulfur-oxidizing chemoautotroph, Guyparkeria sp. TX1, which showed ≥99% gene sequence similarity to contigs recovered from sorted-cell metagenomes, was isolated from enrichment cultures. Its significant carbon fixation capacity provided experimental validation for the effectiveness of Raman-based in situ functional screening. This study establishes Raman-based functional biomarkers applicable to chemoautotrophic carbon fixation, enabling in situ mapping of microbial carbon fluxes. By integrating single-cell phenotypic activity with genomic potential, this work advances the mechanistic understanding of sulfur-driven dark carbon fixation, which sustains coastal blue carbon ecosystems as a keystone process.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Shared functional microbiome signatures in Parkinson's disease and constipation predominate irritable bowel syndrome despite taxonomic divergence.
Brain, behavior, & immunity - health, 53:101218.
BACKGROUND: Gastrointestinal dysfunction, including constipation, is a common non-motor feature of Parkinson's disease (PD) and often precedes motor symptoms. The gut microbiome interacts with the host through neural, hormonal, and immune pathways, yet whether constipation represents a cause or consequence of PD remains unclear. Therefore, we aimed to interrogate the associations between microbiome and immune alterations in relation to constipation to provide novel insight into microbiome-gut-brain axis mechanisms in PD.
METHODS: We analysed peripheral blood mononuclear cells (PBMCs) for circulating gut-homing T cell populations and used shotgun metagenomics to profile the stool microbiome composition and functional capacity in PD patients (n = 18), healthy controls (n = 21), and individuals with constipation-predominant irritable bowel syndrome (IBS-C; n = 8). Associations between immune markers and microbial taxa were assessed, and functional pathway differences were evaluated.
RESULTS: Circulating gut-homing T cell frequencies did not differ significantly between PD and controls, but constipated PD patients showed a trend toward increased circulating gut-homing T cells. Microbiome beta-diversity analyses revealed distinct taxonomic shifts in PD and IBS-C, while functional capacity was largely conserved. Of the differential functional pathways tryptophan biosynthesis, polyamine production, and vitamin B metabolism, processes critical for neurotransmitter synthesis, epithelial integrity, and neuroimmune regulation were reduced in PD compared to IBS-C.
CONCLUSION: Our findings highlight unique microbial and immune signatures in PD, partially overlapping with IBS-C, and underscore the importance of microbial metabolic pathways in gut-brain axis disorders. Collectively our findings suggest a contribution to dopaminergic dysfunction, neuroinflammation, and impaired gut motility. Future longitudinal studies are needed to clarify causal relationships and inform targeted interventions for PD-related gastrointestinal dysfunction.
Additional Links: PMID-41993915
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@article {pmid41993915,
year = {2026},
author = {Hoedt, EC and Burns, GL and Hedley, KE and Waller, S and Sanchez, TC and Chisolm, O and MacCallum, H and Richardson, S and Suthers, B and Pepper, E and Keely, S and Talley, NJ},
title = {Shared functional microbiome signatures in Parkinson's disease and constipation predominate irritable bowel syndrome despite taxonomic divergence.},
journal = {Brain, behavior, & immunity - health},
volume = {53},
number = {},
pages = {101218},
pmid = {41993915},
issn = {2666-3546},
abstract = {BACKGROUND: Gastrointestinal dysfunction, including constipation, is a common non-motor feature of Parkinson's disease (PD) and often precedes motor symptoms. The gut microbiome interacts with the host through neural, hormonal, and immune pathways, yet whether constipation represents a cause or consequence of PD remains unclear. Therefore, we aimed to interrogate the associations between microbiome and immune alterations in relation to constipation to provide novel insight into microbiome-gut-brain axis mechanisms in PD.
METHODS: We analysed peripheral blood mononuclear cells (PBMCs) for circulating gut-homing T cell populations and used shotgun metagenomics to profile the stool microbiome composition and functional capacity in PD patients (n = 18), healthy controls (n = 21), and individuals with constipation-predominant irritable bowel syndrome (IBS-C; n = 8). Associations between immune markers and microbial taxa were assessed, and functional pathway differences were evaluated.
RESULTS: Circulating gut-homing T cell frequencies did not differ significantly between PD and controls, but constipated PD patients showed a trend toward increased circulating gut-homing T cells. Microbiome beta-diversity analyses revealed distinct taxonomic shifts in PD and IBS-C, while functional capacity was largely conserved. Of the differential functional pathways tryptophan biosynthesis, polyamine production, and vitamin B metabolism, processes critical for neurotransmitter synthesis, epithelial integrity, and neuroimmune regulation were reduced in PD compared to IBS-C.
CONCLUSION: Our findings highlight unique microbial and immune signatures in PD, partially overlapping with IBS-C, and underscore the importance of microbial metabolic pathways in gut-brain axis disorders. Collectively our findings suggest a contribution to dopaminergic dysfunction, neuroinflammation, and impaired gut motility. Future longitudinal studies are needed to clarify causal relationships and inform targeted interventions for PD-related gastrointestinal dysfunction.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Unveiling the Role of Rumen Microbiome in Modulating Intramuscular Fat Deposition of Pingliang Red Cattle.
Food science & nutrition, 14(4):e71681.
Pingliang Red cattle is renowned for its tender meat and symmetrical intramuscular fat (IMF) deposition. Rumen microbiota are crucial for energy metabolism and nutrient acquisition in cattle, significantly influencing IMF deposition. Therefore, this study aimed to explore how rumen microbiota impact IMF deposition in Pingliang Red cattle. 34 castrated Pingliang Red cattle were subjected to the same management for 2 months, followed by centralized and unified slaughtering. Based on the measured IMF content in the longissimus dorsi, 18 cattle were selected and divided into a high-intramuscular-fat group (HIMF, n = 9) and a low-intramuscular-fat group (LIMF, n = 9). Rumen fluid was subsequently collected for metagenomic sequencing. Results showed significant differences in taxonomic abundance at both the genus and species levels, the relative abundance of carbohydrate-active enzyme (CAZy) families, and functional profiles (p < 0.05). Specific rumen microbes, such as Limosilactobacillus panis (AUC = 0.765) and Fibrobacter succinogenes (AUC = 0.753), served as potential biomarkers for HIMF deposition in Pingliang Red cattle. With the exception of Bacillus, Fibrobacter succinogenes, Limosilactobacillus panis, Prevotella intermedia, and Streptomyces exhibited positive correlations with IMF content. Functional analysis based on KEGG orthology (KO) indicated that specific enzymes promote IMF deposition by regulating the metabolism of short-chain fatty acids (SCFAs), long-chain fatty acids (LCFAs), and lipopolysaccharides, as well as insulin signaling. These findings provide a theoretical reference for regulating rumen microbial communities to improve IMF deposition.
Additional Links: PMID-41993958
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@article {pmid41993958,
year = {2026},
author = {Meng, H and Zhao, S and Jin, H and Zhang, H and Li, Q and Zhang, L and Hu, J and Kong, F and Du, X and Li, Q and Ajwad Rahim, M and Xu, L and Xue, Y},
title = {Unveiling the Role of Rumen Microbiome in Modulating Intramuscular Fat Deposition of Pingliang Red Cattle.},
journal = {Food science & nutrition},
volume = {14},
number = {4},
pages = {e71681},
pmid = {41993958},
issn = {2048-7177},
abstract = {Pingliang Red cattle is renowned for its tender meat and symmetrical intramuscular fat (IMF) deposition. Rumen microbiota are crucial for energy metabolism and nutrient acquisition in cattle, significantly influencing IMF deposition. Therefore, this study aimed to explore how rumen microbiota impact IMF deposition in Pingliang Red cattle. 34 castrated Pingliang Red cattle were subjected to the same management for 2 months, followed by centralized and unified slaughtering. Based on the measured IMF content in the longissimus dorsi, 18 cattle were selected and divided into a high-intramuscular-fat group (HIMF, n = 9) and a low-intramuscular-fat group (LIMF, n = 9). Rumen fluid was subsequently collected for metagenomic sequencing. Results showed significant differences in taxonomic abundance at both the genus and species levels, the relative abundance of carbohydrate-active enzyme (CAZy) families, and functional profiles (p < 0.05). Specific rumen microbes, such as Limosilactobacillus panis (AUC = 0.765) and Fibrobacter succinogenes (AUC = 0.753), served as potential biomarkers for HIMF deposition in Pingliang Red cattle. With the exception of Bacillus, Fibrobacter succinogenes, Limosilactobacillus panis, Prevotella intermedia, and Streptomyces exhibited positive correlations with IMF content. Functional analysis based on KEGG orthology (KO) indicated that specific enzymes promote IMF deposition by regulating the metabolism of short-chain fatty acids (SCFAs), long-chain fatty acids (LCFAs), and lipopolysaccharides, as well as insulin signaling. These findings provide a theoretical reference for regulating rumen microbial communities to improve IMF deposition.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Shotgun metagenomic profiling of bacterial microbiomes, metagenome-assembled genomes and antimicrobial resistance in respiratory and blood samples from Gambian children with pneumonia.
Research square pii:rs.3.rs-8724320.
Pneumonia is a leading cause of morbidity and mortality in children, with bacterial pathogens being important etiologic agents. Most microbiome studies in pneumonia use technologies with limited taxonomical resolution and few include lung aspirate or blood samples. In this study, we assessed the microbial communities of the nasopharynx, nasopharynx/oropharynx, induced sputum, lung aspirate and blood, and recovered metagenome-assembled genomes from the same sites using shotgun metagenomics sequencing of samples from children with severe and very severe pneumonia in The Gambia. Our data show that Proteobacteria and Firmicutes were the most common phyla across the body sites, and this was largely driven by S. pneumoniae, H. influenzae/aegyptius and M. catarrhalis. Furthermore, we observed species overlap of blood and respiratory samples with average Jaccard similarity index values ranging from 34% to 58%. We recovered 60 medium and 35 high-quality MAGs in these niches including 11 S. pneumoniae , 10 H. influenzae strains and a limosilactobacillus with less than 95% Average Nucleotide Identity to any known species in GTDB-TK. We also showed that the resistomes in our MAGs were highly species specific with more than 70% of the detected AMR genes found exclusively in a single species.
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@article {pmid41994130,
year = {2026},
author = {Khan, D and Espinoza, JL and Tientcheu, PE and Otchere, ID and Mohammed, NI and Worwui, A and Nicol, MP and Kwambana-Adams, B and Antonio, M and Dupont, CL},
title = {Shotgun metagenomic profiling of bacterial microbiomes, metagenome-assembled genomes and antimicrobial resistance in respiratory and blood samples from Gambian children with pneumonia.},
journal = {Research square},
volume = {},
number = {},
pages = {},
doi = {10.21203/rs.3.rs-8724320/v1},
pmid = {41994130},
issn = {2693-5015},
abstract = {Pneumonia is a leading cause of morbidity and mortality in children, with bacterial pathogens being important etiologic agents. Most microbiome studies in pneumonia use technologies with limited taxonomical resolution and few include lung aspirate or blood samples. In this study, we assessed the microbial communities of the nasopharynx, nasopharynx/oropharynx, induced sputum, lung aspirate and blood, and recovered metagenome-assembled genomes from the same sites using shotgun metagenomics sequencing of samples from children with severe and very severe pneumonia in The Gambia. Our data show that Proteobacteria and Firmicutes were the most common phyla across the body sites, and this was largely driven by S. pneumoniae, H. influenzae/aegyptius and M. catarrhalis. Furthermore, we observed species overlap of blood and respiratory samples with average Jaccard similarity index values ranging from 34% to 58%. We recovered 60 medium and 35 high-quality MAGs in these niches including 11 S. pneumoniae , 10 H. influenzae strains and a limosilactobacillus with less than 95% Average Nucleotide Identity to any known species in GTDB-TK. We also showed that the resistomes in our MAGs were highly species specific with more than 70% of the detected AMR genes found exclusively in a single species.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Intraventricular hemorrhage, suspected EBV reactivation, and TBA-positive epilepsy after deep cervical lymphovenous anastomosis in Alzheimer's disease: a case report.
Frontiers in aging neuroscience, 18:1791011.
Lymphovenous anastomosis (LVA) is emerging as a potential surgical intervention to ameliorate cervical lymphatic outflow and enhance glymphatic clearance in Alzheimer's disease (AD). However, the spectrum of neurological sequelae associated with this procedure remains poorly characterized. We report the case of a 67-years-old male with amyloid PET-confirmed AD who underwent bilateral deep cervical LVA. Twenty-three days postoperatively, he presented with high-grade fever and altered consciousness. Head CT revealed acute hemorrhage in the posterior horn of the left lateral ventricle (∼2 mL). Cerebrospinal fluid (CSF) analysis demonstrated lymphocytic pleocytosis and significantly elevated protein levels; the fluid was uniformly bloody, confirming intraventricular hemorrhage. Plasma metagenomic next-generation sequencing (mNGS) identified Epstein-Barr virus (EBV), with serology supporting reactivation. Following antiviral and empirical antibiotic therapy, the patient's condition stabilized, and the hemorrhage resolved. Four months postoperatively, he developed new-onset generalized seizures. Despite negative results from a conventional autoimmune encephalitis antibody panel in both serum and CSF, a tissue-based assay (TBA) proved positive in both samples. Seizures were successfully controlled with levetiracetam. This case suggests a potential association between invasive lymphatic procedures and a hemorrhage-infection-immune cascade in highly vulnerable AD patients with preexisting metabolic and neurodegenerative risk factors.
Additional Links: PMID-41994193
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@article {pmid41994193,
year = {2026},
author = {Jiang, T and Yan, F and Liu, B and Li, Q and Wang, K and Ru, X and Hao, Y and Guan, Y and Wang, Y},
title = {Intraventricular hemorrhage, suspected EBV reactivation, and TBA-positive epilepsy after deep cervical lymphovenous anastomosis in Alzheimer's disease: a case report.},
journal = {Frontiers in aging neuroscience},
volume = {18},
number = {},
pages = {1791011},
pmid = {41994193},
issn = {1663-4365},
abstract = {Lymphovenous anastomosis (LVA) is emerging as a potential surgical intervention to ameliorate cervical lymphatic outflow and enhance glymphatic clearance in Alzheimer's disease (AD). However, the spectrum of neurological sequelae associated with this procedure remains poorly characterized. We report the case of a 67-years-old male with amyloid PET-confirmed AD who underwent bilateral deep cervical LVA. Twenty-three days postoperatively, he presented with high-grade fever and altered consciousness. Head CT revealed acute hemorrhage in the posterior horn of the left lateral ventricle (∼2 mL). Cerebrospinal fluid (CSF) analysis demonstrated lymphocytic pleocytosis and significantly elevated protein levels; the fluid was uniformly bloody, confirming intraventricular hemorrhage. Plasma metagenomic next-generation sequencing (mNGS) identified Epstein-Barr virus (EBV), with serology supporting reactivation. Following antiviral and empirical antibiotic therapy, the patient's condition stabilized, and the hemorrhage resolved. Four months postoperatively, he developed new-onset generalized seizures. Despite negative results from a conventional autoimmune encephalitis antibody panel in both serum and CSF, a tissue-based assay (TBA) proved positive in both samples. Seizures were successfully controlled with levetiracetam. This case suggests a potential association between invasive lymphatic procedures and a hemorrhage-infection-immune cascade in highly vulnerable AD patients with preexisting metabolic and neurodegenerative risk factors.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
The enhancing therapeutic effect of neonatal jaundice by bifidobacterium through regulating inflammation and gut microbiota in combination with phototherapy-a randomized controlled trial.
Frontiers in microbiology, 17:1761245.
BACKGROUND: Hyperbilirubinemia is among the most common conditions in neonates, and phototherapy is currently the most widely used treatment. However, it can induce side effects such as skin rashes, diarrhea, and gut microbiota dysbiosis, particularly affecting Bifidobacterium levels. This study aimed to investigate whether the supplementation of Bifidobacterium can alleviate dysbiosis and improve clinical outcomes in jaundiced neonates.
METHODS: A total of 79 jaundiced neonates were enrolled and divided into four groups: Phototherapy Control, M-16V, Bb-12, and the combined M-16V+Bb-12 group. Probiotics were administered until 30 days post-discharge, and neurodevelopment was assessed at 1.5-2 years using the Griffith Development Scales. Fecal samples collected before, during, and after treatment were analyzed using metagenomic sequencing and non-targeted metabolomics.
RESULTS: Probiotic supplementation significantly increased daily defecation frequency, accelerated the reduction rate of transcutaneous bilirubin, and shortened hospital stays. Griffith scores indicated that Bb-12 supplementation improved scores in personal-social and performance domains. Metagenomic analysis revealed significant differences in beta diversity between the control and probiotic groups; specifically, M-16V and combined supplementation increased the abundance of Bifidobacterium breve. Pathway enrichment analysis showed up-regulation of pyrimidine-containing compound metabolic processes, intramolecular transferase activity, and DNA conformation change. Metabolomics further demonstrated that combined supplementation elevated levels of 5-methyltetrahydrofolate (linked to DNA synthesis), benzoic acid and indoleacetic acid (linked to growth and development), and the anti-inflammatory metabolite indole-3-lactic acid.
DISCUSSION: For neonates receiving phototherapy, the addition of M-16 V + Bb-12 probiotics can improve the diversity of microflora, reduce the fixed value of harmful bacteria in the intestine, and enhance the excretion of bilirubin from the intestine, to improve the inflammatory damage and microbiota disorder caused by phototherapy, and achieve the effect of clinically improving jaundice, reducing bilirubin, shortening the length of hospitalization, and promoting neurodevelopment. It provides a safer and more effective treatment for neonatal jaundice.
Additional Links: PMID-41994268
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@article {pmid41994268,
year = {2026},
author = {Zhang, F and Chen, J and Yuan, Y and Chen, J and Jiang, W and Xiang, W and Wang, N and Wu, Z and Fan, S and Zhang, K and Ma, Y and Liu, T and Zhang, J and Yu, Q and Zhang, J},
title = {The enhancing therapeutic effect of neonatal jaundice by bifidobacterium through regulating inflammation and gut microbiota in combination with phototherapy-a randomized controlled trial.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1761245},
pmid = {41994268},
issn = {1664-302X},
abstract = {BACKGROUND: Hyperbilirubinemia is among the most common conditions in neonates, and phototherapy is currently the most widely used treatment. However, it can induce side effects such as skin rashes, diarrhea, and gut microbiota dysbiosis, particularly affecting Bifidobacterium levels. This study aimed to investigate whether the supplementation of Bifidobacterium can alleviate dysbiosis and improve clinical outcomes in jaundiced neonates.
METHODS: A total of 79 jaundiced neonates were enrolled and divided into four groups: Phototherapy Control, M-16V, Bb-12, and the combined M-16V+Bb-12 group. Probiotics were administered until 30 days post-discharge, and neurodevelopment was assessed at 1.5-2 years using the Griffith Development Scales. Fecal samples collected before, during, and after treatment were analyzed using metagenomic sequencing and non-targeted metabolomics.
RESULTS: Probiotic supplementation significantly increased daily defecation frequency, accelerated the reduction rate of transcutaneous bilirubin, and shortened hospital stays. Griffith scores indicated that Bb-12 supplementation improved scores in personal-social and performance domains. Metagenomic analysis revealed significant differences in beta diversity between the control and probiotic groups; specifically, M-16V and combined supplementation increased the abundance of Bifidobacterium breve. Pathway enrichment analysis showed up-regulation of pyrimidine-containing compound metabolic processes, intramolecular transferase activity, and DNA conformation change. Metabolomics further demonstrated that combined supplementation elevated levels of 5-methyltetrahydrofolate (linked to DNA synthesis), benzoic acid and indoleacetic acid (linked to growth and development), and the anti-inflammatory metabolite indole-3-lactic acid.
DISCUSSION: For neonates receiving phototherapy, the addition of M-16 V + Bb-12 probiotics can improve the diversity of microflora, reduce the fixed value of harmful bacteria in the intestine, and enhance the excretion of bilirubin from the intestine, to improve the inflammatory damage and microbiota disorder caused by phototherapy, and achieve the effect of clinically improving jaundice, reducing bilirubin, shortening the length of hospitalization, and promoting neurodevelopment. It provides a safer and more effective treatment for neonatal jaundice.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Qifuyin improves physiological frailty by regulating the intestinal flora in 3xTg-AD mice.
Frontiers in microbiology, 17:1753643.
OBJECTIVE: Alzheimer's disease (AD) is often accompanied by motor dysfunction, impaired limb strength, and gut microbiota disturbances. This study aimed to evaluate the effects of Qifuyin (QFY), a traditional Chinese medicine formula, on motor deficits, limb strength, aging, and gut microbiota composition in 3xTg-AD mice, a widely used model of AD.
METHODS: Male and female 3xTg-AD mice were administered QFY at low, medium, or high doses. Motor function was assessed using grip strength and rotarod tests. Aging was evaluated through aging scores. Gut microbiota composition was analyzed at the phylum, family, genus, and species levels. Functional profiling of microbiota was performed using KEGG, eggNOG, and carbohydrate-active enzyme (CAZyme) databases. Pearson correlation analyses were conducted to explore relationships between microbiota composition and motor performance.
RESULTS: QFY treatment significantly improved both absolute and normalized grip strength in male and female 3xTg-AD mice. Similarly, motor coordination, as assessed by latency to fall on the rotarod, was significantly enhanced in the groups of QFY. Aging scores were significantly reduced after the treatment of QFY. Microbiome analysis revealed that QFY treatment restored species diversity and improved the overall composition of gut microbiota, with significant increases in Muribaculaceae and decreases in Alcaligenaceae, Rhodanobacteraceae, and Spirochaetaceae. Principal component analysis (PCA) indicated that the gut microbiota composition of the QFY group resembled that of the control (Con) group. Functional analyses showed that treatment of QFY restored microbial pathways related to metabolism and genetic information processing, with significant correlations between microbial alterations and improved motor outcomes. Additionally, QFY modulated the abundance of key carbohydrate-active enzymes, including GH43 and GH35, which were positively correlated with grip strength and rotarod performance.
CONCLUSION: Qifuyin improves motor function, reduces aging-related deficits, and restores gut microbiota homeostasis in 3xTg-AD mice. These findings suggest that QFY may offer therapeutic potential for addressing frailty and motor dysfunction in AD, in association with alterations in gut microbiota composition and predicted microbial functions.
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@article {pmid41994275,
year = {2026},
author = {Yu, T and Yu, Y and Zhao, J and Li, H and Lu, H and Li, Y and Peng, Y and Wang, S and Wei, W and Cheng, X},
title = {Qifuyin improves physiological frailty by regulating the intestinal flora in 3xTg-AD mice.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1753643},
pmid = {41994275},
issn = {1664-302X},
abstract = {OBJECTIVE: Alzheimer's disease (AD) is often accompanied by motor dysfunction, impaired limb strength, and gut microbiota disturbances. This study aimed to evaluate the effects of Qifuyin (QFY), a traditional Chinese medicine formula, on motor deficits, limb strength, aging, and gut microbiota composition in 3xTg-AD mice, a widely used model of AD.
METHODS: Male and female 3xTg-AD mice were administered QFY at low, medium, or high doses. Motor function was assessed using grip strength and rotarod tests. Aging was evaluated through aging scores. Gut microbiota composition was analyzed at the phylum, family, genus, and species levels. Functional profiling of microbiota was performed using KEGG, eggNOG, and carbohydrate-active enzyme (CAZyme) databases. Pearson correlation analyses were conducted to explore relationships between microbiota composition and motor performance.
RESULTS: QFY treatment significantly improved both absolute and normalized grip strength in male and female 3xTg-AD mice. Similarly, motor coordination, as assessed by latency to fall on the rotarod, was significantly enhanced in the groups of QFY. Aging scores were significantly reduced after the treatment of QFY. Microbiome analysis revealed that QFY treatment restored species diversity and improved the overall composition of gut microbiota, with significant increases in Muribaculaceae and decreases in Alcaligenaceae, Rhodanobacteraceae, and Spirochaetaceae. Principal component analysis (PCA) indicated that the gut microbiota composition of the QFY group resembled that of the control (Con) group. Functional analyses showed that treatment of QFY restored microbial pathways related to metabolism and genetic information processing, with significant correlations between microbial alterations and improved motor outcomes. Additionally, QFY modulated the abundance of key carbohydrate-active enzymes, including GH43 and GH35, which were positively correlated with grip strength and rotarod performance.
CONCLUSION: Qifuyin improves motor function, reduces aging-related deficits, and restores gut microbiota homeostasis in 3xTg-AD mice. These findings suggest that QFY may offer therapeutic potential for addressing frailty and motor dysfunction in AD, in association with alterations in gut microbiota composition and predicted microbial functions.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
High-fat diet-driven gut microbial sphingolipid metabolic reprogramming is associated with stress susceptibility in CUMS rats.
Frontiers in microbiology, 17:1802003.
The escalating comorbidity between depression and metabolic syndromes induced by a high-fat diet (HFD) poses a substantial social and economic burden on society. However, the precise molecular mechanisms by which a HFD qualitatively alters the basal pathophysiology of chronic unpredictable mild stress (CUMS) remain unclear. In this study, the differential roles of microbial and metabolic pathways in the onset and exacerbation of depression were investigated using CUMS rat models fed a normal diet (ND-CUMS) or HFD (HFD-CUMS). Our findings indicated that HFD intervention showed a trend toward aggravating depressive behaviors and resulted in significantly more severe neuronal injury in the hippocampus relative to the ND-CUMS group. Notably, integrated multi-omics (metagenome and metabolome) analysis revealed a crucial pathway divergence: basal CUMS depression was strongly associated with the dysregulation of glycerophospholipid metabolism, linked to microbiota such as Bacteroides thetaiotaomicron and Terrisporobacter glycolicus, while HFD triggered a predominant disruption of the sphingolipid metabolism pathway. Exploratory mediation analysis suggested that a sphingolipid-related signature that may statistically connect HFD-associated microbial shifts with neural injury and behavioral readouts. Therefore, our findings reveal a distinct mechanistic shift underpinning metabolic-comorbid depression. HFD does not merely exacerbate stress-induced depression but fundamentally transitions the underlying pathology from glycerophospholipid to sphingolipid signaling, highlighting the potential of targeting specific lipid metabolic reprogramming as a promising therapeutic strategy for combating metabolic-comorbid depression.
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@article {pmid41994276,
year = {2026},
author = {Xian, J and Li, Y and Feng, Z and Jin, Y and Cai, T and Cao, M and Cao, Y},
title = {High-fat diet-driven gut microbial sphingolipid metabolic reprogramming is associated with stress susceptibility in CUMS rats.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1802003},
pmid = {41994276},
issn = {1664-302X},
abstract = {The escalating comorbidity between depression and metabolic syndromes induced by a high-fat diet (HFD) poses a substantial social and economic burden on society. However, the precise molecular mechanisms by which a HFD qualitatively alters the basal pathophysiology of chronic unpredictable mild stress (CUMS) remain unclear. In this study, the differential roles of microbial and metabolic pathways in the onset and exacerbation of depression were investigated using CUMS rat models fed a normal diet (ND-CUMS) or HFD (HFD-CUMS). Our findings indicated that HFD intervention showed a trend toward aggravating depressive behaviors and resulted in significantly more severe neuronal injury in the hippocampus relative to the ND-CUMS group. Notably, integrated multi-omics (metagenome and metabolome) analysis revealed a crucial pathway divergence: basal CUMS depression was strongly associated with the dysregulation of glycerophospholipid metabolism, linked to microbiota such as Bacteroides thetaiotaomicron and Terrisporobacter glycolicus, while HFD triggered a predominant disruption of the sphingolipid metabolism pathway. Exploratory mediation analysis suggested that a sphingolipid-related signature that may statistically connect HFD-associated microbial shifts with neural injury and behavioral readouts. Therefore, our findings reveal a distinct mechanistic shift underpinning metabolic-comorbid depression. HFD does not merely exacerbate stress-induced depression but fundamentally transitions the underlying pathology from glycerophospholipid to sphingolipid signaling, highlighting the potential of targeting specific lipid metabolic reprogramming as a promising therapeutic strategy for combating metabolic-comorbid depression.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Rhizospheric soil microbial community structure and metabolic characteristics of wild Cymbidium mastersii at different altitudes.
Frontiers in microbiology, 17:1720137.
INTRODUCTION: Cymbidium mastersii, a perennial orchid of high ornamental value, faces severe survival challenges due to extremely low natural seed germination rates (<15%), habitat degradation, and illegal harvesting. It is listed as a Category II Nationally Protected Plant Species in China.
METHODS: We examined the rhizosphere microbial communities and metabolomes of C. mastersii across elevation gradients. We investigated the rhizospheric soil microbial community composition and metabolic characteristics of C. mastersii across different elevations.
RESULTS: The dominant bacterial phylum was Pseudomonadota, with relative abundances of 38.22% (CmL, low elevation), 36.91% (CmM, mid-elevation), and 62.54% (CmH, high elevation). While the dominant bacterial genera varied significantly with elevation, taxonomic richness exhibited a consistent decline with increasing altitude (p < 0.05, linear regression), indicating altitudinal filtering of microbial diversity. LC-MS/MS metabolomic profiling identified 1,516 metabolites, predominantly enriched in lipid and lipid-like molecules, carbohydrates and derivatives, and aromatic compounds. Functional contribution analysis revealed Bradyrhizobium as the most influential taxon (10% variance explained), displaying a nonlinear elevational response. Correlation analysis of differential metabolites confirmed significant species-metabolite correlations (P < 0.05, R > 0.7). Our findings underscore the critical role of trophic interactions in shaping rhizosphere community assembly in alpine plants, thereby contributing to the broader understanding of microbial biogeography along elevational gradients.
DISCUSSION: This study not only confirms that the altitudinal gradient serves as a key environmental filter shaping the rhizosphere microecology of C. mastersii, but more importantly, by integrating metagenomic and metabolomic approaches, we systematically reveal for the first time that altitude differentially selects for microbial taxa with specific functions, ultimately driving the restructuring of the rhizosphere metabolic environment. Moving beyond mere community description, our work aims to elucidate the underlying pathways responsible for these shifts and their potential functional implications for host plant adaptation.
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@article {pmid41994278,
year = {2026},
author = {Dang, M and Tang, Y and Chen, J and Xie, W and Zhong, Y and Yu, B and Zhang, E and Wang, Z},
title = {Rhizospheric soil microbial community structure and metabolic characteristics of wild Cymbidium mastersii at different altitudes.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1720137},
pmid = {41994278},
issn = {1664-302X},
abstract = {INTRODUCTION: Cymbidium mastersii, a perennial orchid of high ornamental value, faces severe survival challenges due to extremely low natural seed germination rates (<15%), habitat degradation, and illegal harvesting. It is listed as a Category II Nationally Protected Plant Species in China.
METHODS: We examined the rhizosphere microbial communities and metabolomes of C. mastersii across elevation gradients. We investigated the rhizospheric soil microbial community composition and metabolic characteristics of C. mastersii across different elevations.
RESULTS: The dominant bacterial phylum was Pseudomonadota, with relative abundances of 38.22% (CmL, low elevation), 36.91% (CmM, mid-elevation), and 62.54% (CmH, high elevation). While the dominant bacterial genera varied significantly with elevation, taxonomic richness exhibited a consistent decline with increasing altitude (p < 0.05, linear regression), indicating altitudinal filtering of microbial diversity. LC-MS/MS metabolomic profiling identified 1,516 metabolites, predominantly enriched in lipid and lipid-like molecules, carbohydrates and derivatives, and aromatic compounds. Functional contribution analysis revealed Bradyrhizobium as the most influential taxon (10% variance explained), displaying a nonlinear elevational response. Correlation analysis of differential metabolites confirmed significant species-metabolite correlations (P < 0.05, R > 0.7). Our findings underscore the critical role of trophic interactions in shaping rhizosphere community assembly in alpine plants, thereby contributing to the broader understanding of microbial biogeography along elevational gradients.
DISCUSSION: This study not only confirms that the altitudinal gradient serves as a key environmental filter shaping the rhizosphere microecology of C. mastersii, but more importantly, by integrating metagenomic and metabolomic approaches, we systematically reveal for the first time that altitude differentially selects for microbial taxa with specific functions, ultimately driving the restructuring of the rhizosphere metabolic environment. Moving beyond mere community description, our work aims to elucidate the underlying pathways responsible for these shifts and their potential functional implications for host plant adaptation.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Virus-encoded metabolism may support environmental stress adaptation of microbial hosts in an estuarine hypoxic zone.
Frontiers in microbiology, 17:1785655.
Hypoxic zones in estuaries threaten the ecological balance and the productivity in coastal areas. However, it is poorly understood how viruses regulate metabolic processes of their microbial hosts to adapt to the hypoxic environment, and consequently impact the biogeochemical cycles in hypoxic zones. In this study, the diversity and functional potentials of the bacterial, archaeal and viral communities of a hypoxic zone at the Pearl River Estuary was characterized along with local environmental factors, with a particular focus on viral auxiliary metabolic genes (AMGs). The viral community derived from the virion fraction and the cellular fraction of the seawater were distinctly different, with the cellular fraction generating fewer unique viruses, but more types of AMGs. Overall, more AMGs were identified in samples with higher dissolved oxygen levels. Globally conserved AMGs were infrequently observed in the current samples, suggesting a certain level of adaptation of AMGs to the local environment. There were strong correlations in abundances among cyanobacteria, cyanophages, and photosynthesis AMGs, suggesting potential viral participation in estuarine primary production. Many AMGs involved in nutrient limitation endurance were found, potentially assisting their host with phosphorus, iron and B family vitamin shortages. Although putative hosts were predicted for the viruses, the functionality of their AMGs appears to be a better predictor of their distribution than the hosts they infect. Our study provides a functional insight into the viral community in poorly researched estuarine hypoxic zones, and sheds light on the potential interactions of viruses with their microbial hosts for co-adaptation to this unique environment.
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@article {pmid41994292,
year = {2026},
author = {Sun, M and Lei, Z and Li, B and Gao, SH and Fan, L},
title = {Virus-encoded metabolism may support environmental stress adaptation of microbial hosts in an estuarine hypoxic zone.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1785655},
pmid = {41994292},
issn = {1664-302X},
abstract = {Hypoxic zones in estuaries threaten the ecological balance and the productivity in coastal areas. However, it is poorly understood how viruses regulate metabolic processes of their microbial hosts to adapt to the hypoxic environment, and consequently impact the biogeochemical cycles in hypoxic zones. In this study, the diversity and functional potentials of the bacterial, archaeal and viral communities of a hypoxic zone at the Pearl River Estuary was characterized along with local environmental factors, with a particular focus on viral auxiliary metabolic genes (AMGs). The viral community derived from the virion fraction and the cellular fraction of the seawater were distinctly different, with the cellular fraction generating fewer unique viruses, but more types of AMGs. Overall, more AMGs were identified in samples with higher dissolved oxygen levels. Globally conserved AMGs were infrequently observed in the current samples, suggesting a certain level of adaptation of AMGs to the local environment. There were strong correlations in abundances among cyanobacteria, cyanophages, and photosynthesis AMGs, suggesting potential viral participation in estuarine primary production. Many AMGs involved in nutrient limitation endurance were found, potentially assisting their host with phosphorus, iron and B family vitamin shortages. Although putative hosts were predicted for the viruses, the functionality of their AMGs appears to be a better predictor of their distribution than the hosts they infect. Our study provides a functional insight into the viral community in poorly researched estuarine hypoxic zones, and sheds light on the potential interactions of viruses with their microbial hosts for co-adaptation to this unique environment.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
The Jejunal Microbiota in Patients With Chronic Pancreatitis: Results From a Pilot Study.
Gastro hep advances, 5(5):100907.
BACKGROUND AND AIMS: Chronic pancreatitis (CP) is associated with several systemic metabolic abnormalities including diabetes. While the colonic microbiota and its association with diabetes in CP have been reported, the specific composition of the small intestinal microbiota and its function in CP remains poorly understood. In this pilot study, we primarily aimed to characterize the jejunal microbiota in patients with CP and explore potential associations with diabetes.
METHODS: Jejunal aspirates were collected in a RNAlater-containing sterile container from 29 patients with CP and 10 controls. The samples were then snap lysed followed by metagenomic DNA extraction. Next-generation sequencing was performed for the variable region 3-4 of the 16SrDNA in Illumina MiSeq. After quality control, microbial profiling and functional analysis were conducted using standard bioinformatics pipelines. We also evaluated tight junction integrity in jejunal biopsy samples using immunofluorescence. Furthermore, we assessed for plasma and stool metabolites.
RESULTS: Patients with CP exhibited higher abundances of Prevotella vespertina, Prevotella oris, and Prevotella salivae, while controls demonstrated higher abundances of Prevotella scopos, Veillonella, Rothia, and Lachnospiraceae. Immunofluorescence showed decreased expression of the tight junction protein occludin in the jejunal mucosa of CP diabetic (CPD) patients compared to endoscopic controls (EC) (p.corr. CPD-EC = 0.012). No differences were seen between CP nondiabetic and endoscopic controls, and between the CP subgroups (CPND-EC = 0.29 and CPD-CPND = 1 respectively). Overall, there were significant plasma metabolomic abnormalities in patients with CP and a trend toward reduction of butyrate in the stool samples of the CP patients with diabetes.
CONCLUSION: Our observations suggest alterations in the jejunal microbiota and mucosal barrier function in CP. These were associated with lower fecal butyrate. This may contribute to the pathogenesis of associated metabolic complications in CP. Further large-scale longitudinal and mechanistic studies are needed to validate our findings.
Additional Links: PMID-41994309
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Citation:
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@article {pmid41994309,
year = {2026},
author = {Sarkar, P and Sarkar, S and Unnisa, M and Singh, AP and Inavolu, P and Rughwani, H and Jakkampudi, A and Jaggaiahgari, S and Reddy, DN and Talukdar, R},
title = {The Jejunal Microbiota in Patients With Chronic Pancreatitis: Results From a Pilot Study.},
journal = {Gastro hep advances},
volume = {5},
number = {5},
pages = {100907},
pmid = {41994309},
issn = {2772-5723},
abstract = {BACKGROUND AND AIMS: Chronic pancreatitis (CP) is associated with several systemic metabolic abnormalities including diabetes. While the colonic microbiota and its association with diabetes in CP have been reported, the specific composition of the small intestinal microbiota and its function in CP remains poorly understood. In this pilot study, we primarily aimed to characterize the jejunal microbiota in patients with CP and explore potential associations with diabetes.
METHODS: Jejunal aspirates were collected in a RNAlater-containing sterile container from 29 patients with CP and 10 controls. The samples were then snap lysed followed by metagenomic DNA extraction. Next-generation sequencing was performed for the variable region 3-4 of the 16SrDNA in Illumina MiSeq. After quality control, microbial profiling and functional analysis were conducted using standard bioinformatics pipelines. We also evaluated tight junction integrity in jejunal biopsy samples using immunofluorescence. Furthermore, we assessed for plasma and stool metabolites.
RESULTS: Patients with CP exhibited higher abundances of Prevotella vespertina, Prevotella oris, and Prevotella salivae, while controls demonstrated higher abundances of Prevotella scopos, Veillonella, Rothia, and Lachnospiraceae. Immunofluorescence showed decreased expression of the tight junction protein occludin in the jejunal mucosa of CP diabetic (CPD) patients compared to endoscopic controls (EC) (p.corr. CPD-EC = 0.012). No differences were seen between CP nondiabetic and endoscopic controls, and between the CP subgroups (CPND-EC = 0.29 and CPD-CPND = 1 respectively). Overall, there were significant plasma metabolomic abnormalities in patients with CP and a trend toward reduction of butyrate in the stool samples of the CP patients with diabetes.
CONCLUSION: Our observations suggest alterations in the jejunal microbiota and mucosal barrier function in CP. These were associated with lower fecal butyrate. This may contribute to the pathogenesis of associated metabolic complications in CP. Further large-scale longitudinal and mechanistic studies are needed to validate our findings.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Enterovirus D68 and mycobacterial coinfection: case report.
Therapeutic advances in infectious disease, 13:20499361261432918.
The threat of viral epidemics to long-standing diseases, such as mycobacterial infection, is constantly evolving. Enterovirus D68 (EV-D68) is an emerging cause of respiratory infection and has raised great interest since its first outbreak in 2014. Very few studies have been done to describe the clinical aspects of the coinfection of EV-D68 and mycobacteria, so this study was conducted to help round out the understanding of this coinfection pattern. We observed three adult cases of EV-D68 and mycobacteria, who were admitted to the first affiliated hospital of Zhejiang University in August/September 2024. Only one case had a definite past history of immunodeficient disease and received long-term corticosteroid treatment, and the other two were previously healthy. The diagnoses of EV-D68 and mycobacterial infection were all simultaneously confirmed through the metagenomic Next-Generation Sequencing in bronchoalveolar lavage fluid specimens. All three patients were presented with severe respiratory symptoms, such as fever, cough, dyspnea and tachypnea, without any manifestations of central nervous system involvement. The radiological findings in chest CT scans varied from patchy opacity to massive consolidation. The individualized anti-mycobacterium treatment showed little therapeutic effect, while the improvement of symptoms and pulmonary lesions in chest CT was observed after starting or intensifying the administration of corticosteroid. All patients had a marked clinical improvement when discharged from hospital, and it took about 6-9 months for the lung lesions of mycobacterial infections to nearly resolve. These cases illustrate the potential for EV-D68 coinfection to exacerbate pulmonary inflammation in patients with mycobacterial disease, highlighting the need for vigilance regarding possible viral coinfections in settings with a high tuberculosis burden, such as China.
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@article {pmid41994369,
year = {2026},
author = {Bao, Q and Zhang, X and Guo, J},
title = {Enterovirus D68 and mycobacterial coinfection: case report.},
journal = {Therapeutic advances in infectious disease},
volume = {13},
number = {},
pages = {20499361261432918},
pmid = {41994369},
issn = {2049-9361},
abstract = {The threat of viral epidemics to long-standing diseases, such as mycobacterial infection, is constantly evolving. Enterovirus D68 (EV-D68) is an emerging cause of respiratory infection and has raised great interest since its first outbreak in 2014. Very few studies have been done to describe the clinical aspects of the coinfection of EV-D68 and mycobacteria, so this study was conducted to help round out the understanding of this coinfection pattern. We observed three adult cases of EV-D68 and mycobacteria, who were admitted to the first affiliated hospital of Zhejiang University in August/September 2024. Only one case had a definite past history of immunodeficient disease and received long-term corticosteroid treatment, and the other two were previously healthy. The diagnoses of EV-D68 and mycobacterial infection were all simultaneously confirmed through the metagenomic Next-Generation Sequencing in bronchoalveolar lavage fluid specimens. All three patients were presented with severe respiratory symptoms, such as fever, cough, dyspnea and tachypnea, without any manifestations of central nervous system involvement. The radiological findings in chest CT scans varied from patchy opacity to massive consolidation. The individualized anti-mycobacterium treatment showed little therapeutic effect, while the improvement of symptoms and pulmonary lesions in chest CT was observed after starting or intensifying the administration of corticosteroid. All patients had a marked clinical improvement when discharged from hospital, and it took about 6-9 months for the lung lesions of mycobacterial infections to nearly resolve. These cases illustrate the potential for EV-D68 coinfection to exacerbate pulmonary inflammation in patients with mycobacterial disease, highlighting the need for vigilance regarding possible viral coinfections in settings with a high tuberculosis burden, such as China.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Characterization of the aqueous humor microbiome in Posner-Schlossman syndrome: an exploratory metagenomic sequencing study.
Frontiers in medicine, 13:1780981.
OBJECTIVE: This study aims to characterize the aqueous humor (AH) microbiome in Posner-Schlossman syndrome (PSS) patients and evaluate its potential as a diagnostic and therapeutic target.
METHODS: Metagenomic next-generation sequencing (mNGS) was performed on 59 AH samples from patients diagnosed with PSS (n = 28) and myopia patients who underwent intraocular lens (ICL) implantation (n = 31). Taxonomic profiling and diversity analyses were conducted to characterize the microbial communities. Interactions among microbial community members were evaluated using correlation analyses.
RESULTS: Key findings revealed that intraocular microbiomes existed in both normal and diseased eyes; however, PSS patients exhibited lower microbial diversity (Shannon index, p = 0.066; Simpson index, p = 0.065) and distinct community structures (PERMANOVA, p = 0.05). Disease-specific microbial signatures were identified: Paeniglutamicibacter was uniquely enriched in the PSS group, whereas Escherichia coli dominated in the ICL group. Moreover, ecological network analysis demonstrated contrasting interaction patterns. The microbiomes in the PSS group formed stable, tightly connected networks with balanced positive/negative correlations, whereas those in the ICL group exhibited antagonistic relationships, suggesting competitive exclusion. These results challenge the traditional view of ocular sterility and reveal dynamic microbiome shifts associated with PSS pathogenesis. The enrichment of Paeniglutamicibacter in PSS may represent an associated microbial signature that could potentially reflect compensatory responses to chronic inflammation, although experimental validation is needed to confirm this hypothesis.
CONCLUSION: Our study provides preliminary evidence supporting the concept of intraocular microbiome dysbiosis in PSS, which requires validation in future studies. These findings suggest that potential microbial biomarkers warrant further investigation for their diagnostic and therapeutic implications.
Additional Links: PMID-41994453
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@article {pmid41994453,
year = {2026},
author = {Zhang, W and Zhang, K and Liao, Y and Yang, Z and Xia, Z and Ke, X and Zhang, D and Chen, J and Wu, H and Hong, Y and Wang, H and Liu, Z and Suo, L and Zhang, Y and Zhang, C},
title = {Characterization of the aqueous humor microbiome in Posner-Schlossman syndrome: an exploratory metagenomic sequencing study.},
journal = {Frontiers in medicine},
volume = {13},
number = {},
pages = {1780981},
pmid = {41994453},
issn = {2296-858X},
abstract = {OBJECTIVE: This study aims to characterize the aqueous humor (AH) microbiome in Posner-Schlossman syndrome (PSS) patients and evaluate its potential as a diagnostic and therapeutic target.
METHODS: Metagenomic next-generation sequencing (mNGS) was performed on 59 AH samples from patients diagnosed with PSS (n = 28) and myopia patients who underwent intraocular lens (ICL) implantation (n = 31). Taxonomic profiling and diversity analyses were conducted to characterize the microbial communities. Interactions among microbial community members were evaluated using correlation analyses.
RESULTS: Key findings revealed that intraocular microbiomes existed in both normal and diseased eyes; however, PSS patients exhibited lower microbial diversity (Shannon index, p = 0.066; Simpson index, p = 0.065) and distinct community structures (PERMANOVA, p = 0.05). Disease-specific microbial signatures were identified: Paeniglutamicibacter was uniquely enriched in the PSS group, whereas Escherichia coli dominated in the ICL group. Moreover, ecological network analysis demonstrated contrasting interaction patterns. The microbiomes in the PSS group formed stable, tightly connected networks with balanced positive/negative correlations, whereas those in the ICL group exhibited antagonistic relationships, suggesting competitive exclusion. These results challenge the traditional view of ocular sterility and reveal dynamic microbiome shifts associated with PSS pathogenesis. The enrichment of Paeniglutamicibacter in PSS may represent an associated microbial signature that could potentially reflect compensatory responses to chronic inflammation, although experimental validation is needed to confirm this hypothesis.
CONCLUSION: Our study provides preliminary evidence supporting the concept of intraocular microbiome dysbiosis in PSS, which requires validation in future studies. These findings suggest that potential microbial biomarkers warrant further investigation for their diagnostic and therapeutic implications.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Case Report: A rare case of Pneumocystis jirovecii infection with left hydropneumothorax following immunotherapy for stage IVB clear cell renal cell carcinoma.
Frontiers in medicine, 13:1784855.
BACKGROUND: Pneumocystis jirovecii pneumonia (PJP) is an opportunistic infection that predominantly affects immunocompromised individuals, most commonly HIV-infected patients with significantly reduced CD4+lymphocyte counts, and is associated with high clinical mortality. Currently, there are few reports of pneumothorax secondary to PJP, and most cases occur in HIV-infected populations. However, PJP complicated by hydropneumothorax in cancer patients receiving immunotherapy is exceedingly rare, with limited reports in the literature. To our knowledge, this article reports a rare clinical case of Pneumocystis jirovecii infection complicated by left-sided hydropneumothorax in a patient with stage IVB clear cell renal cell carcinoma after immunotherapy, aiming to provide valuable insights for the early diagnosis and management of PJP and its complications in cancer patients undergoing immunotherapy.
CASE: A 57-year-old male patient had previously undergone surgical treatment for left renal clear cell carcinoma, and developed recurrent metastases to the descending colon, liver, and upper pole of the left kidney after surgery, with a clinical stage of T4NxM1 stage IVB. After receiving targeted combination immunotherapy with sequential PD-1 inhibitors (toripalimab) plus anti-angiogenic agents (sunitinib, axitinib)-a regimen that enhances anti-tumor immunity but may disrupt pulmonary immune homeostasis-the patient gradually developed progressive dyspnea, chest tightness, hypoxemia, and anuria. Multiple auxiliary examinations were performed clinically, including chest X-ray, bronchoalveolar lavage, and metagenomic sequencing of pathogenic microorganisms. Based on the above examination results, the final diagnosis was Pneumocystis jirovecii pneumonia complicated by left-sided hydropneumothorax.
CONCLUSION: Although PJP complicated by hydropneumothorax after immunotherapy is rare, it should be considered as a possible etiology when cancer patients develop progressive dyspnea with difficulty maintaining oxygen saturation after receiving immune checkpoint inhibitor-based therapy, particularly in the context of immune checkpoint inhibitor use. While biomarkers for predicting immunotherapy efficacy and irAEs are well-studied, the identification of specific biomarkers for predicting opportunistic infections like PJP in this context remains an area of active research.
Additional Links: PMID-41994458
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Citation:
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@article {pmid41994458,
year = {2026},
author = {Jiang, L and Ye, T and Cai, H and He, F},
title = {Case Report: A rare case of Pneumocystis jirovecii infection with left hydropneumothorax following immunotherapy for stage IVB clear cell renal cell carcinoma.},
journal = {Frontiers in medicine},
volume = {13},
number = {},
pages = {1784855},
pmid = {41994458},
issn = {2296-858X},
abstract = {BACKGROUND: Pneumocystis jirovecii pneumonia (PJP) is an opportunistic infection that predominantly affects immunocompromised individuals, most commonly HIV-infected patients with significantly reduced CD4+lymphocyte counts, and is associated with high clinical mortality. Currently, there are few reports of pneumothorax secondary to PJP, and most cases occur in HIV-infected populations. However, PJP complicated by hydropneumothorax in cancer patients receiving immunotherapy is exceedingly rare, with limited reports in the literature. To our knowledge, this article reports a rare clinical case of Pneumocystis jirovecii infection complicated by left-sided hydropneumothorax in a patient with stage IVB clear cell renal cell carcinoma after immunotherapy, aiming to provide valuable insights for the early diagnosis and management of PJP and its complications in cancer patients undergoing immunotherapy.
CASE: A 57-year-old male patient had previously undergone surgical treatment for left renal clear cell carcinoma, and developed recurrent metastases to the descending colon, liver, and upper pole of the left kidney after surgery, with a clinical stage of T4NxM1 stage IVB. After receiving targeted combination immunotherapy with sequential PD-1 inhibitors (toripalimab) plus anti-angiogenic agents (sunitinib, axitinib)-a regimen that enhances anti-tumor immunity but may disrupt pulmonary immune homeostasis-the patient gradually developed progressive dyspnea, chest tightness, hypoxemia, and anuria. Multiple auxiliary examinations were performed clinically, including chest X-ray, bronchoalveolar lavage, and metagenomic sequencing of pathogenic microorganisms. Based on the above examination results, the final diagnosis was Pneumocystis jirovecii pneumonia complicated by left-sided hydropneumothorax.
CONCLUSION: Although PJP complicated by hydropneumothorax after immunotherapy is rare, it should be considered as a possible etiology when cancer patients develop progressive dyspnea with difficulty maintaining oxygen saturation after receiving immune checkpoint inhibitor-based therapy, particularly in the context of immune checkpoint inhibitor use. While biomarkers for predicting immunotherapy efficacy and irAEs are well-studied, the identification of specific biomarkers for predicting opportunistic infections like PJP in this context remains an area of active research.},
}
RevDate: 2026-04-17
CmpDate: 2026-04-17
Multi-omics Analysis Reveals the Correlation of Gut Microbiota and Metabolites With Thalidomide Treatment for Chemotherapy-Induced Nausea and Vomiting in Small Cell Lung Cancer.
Biotechnology journal, 21(4):e70228.
Small cell lung cancer (SCLC) is a highly aggressive malignancy, and chemotherapy frequently causes nausea and vomiting, which can impair treatment tolerance. Because thalidomide (THD) has shown potential clinical benefit in alleviating nausea and anorexia, we investigated whether its effects might be associated with changes in gut microbial composition and metabolite profiles. Fecal samples were collected from patients with SCLC and categorized into THD-treated and control groups. Metagenomic sequencing and nontargeted metabolomic profiling were performed to characterize microbial composition and metabolic signatures. THD treatment was also associated with higher microbial alpha diversity and increased abundance of genera such as Eubacterium and Prevotella. Metabolomic analysis identified several differential metabolites, including hydrogenated MDI, becocalcidiol, β-octylglucoside, and azelaic acid. Collectively, these findings suggest that the gut microbiota-metabolite axis may be associated with the potential effects of THD on CINV and anorexia in patients with SCLC. The identified microbial taxa and metabolites may serve as candidate biomarkers or potential therapeutic targets, although further validation in larger studies is necessary.
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@article {pmid41994961,
year = {2026},
author = {Sun, QG and Zang, D and Xin, Y and Cui, J and Han, X and Chen, J},
title = {Multi-omics Analysis Reveals the Correlation of Gut Microbiota and Metabolites With Thalidomide Treatment for Chemotherapy-Induced Nausea and Vomiting in Small Cell Lung Cancer.},
journal = {Biotechnology journal},
volume = {21},
number = {4},
pages = {e70228},
doi = {10.1002/biot.70228},
pmid = {41994961},
issn = {1860-7314},
support = {82203056//National Natural Science Foundation of China/ ; },
mesh = {Humans ; *Gastrointestinal Microbiome/drug effects/genetics ; *Small Cell Lung Carcinoma/drug therapy ; *Lung Neoplasms/drug therapy ; Male ; Female ; Middle Aged ; *Thalidomide/therapeutic use/adverse effects/pharmacology ; *Vomiting/chemically induced/drug therapy ; *Nausea/chemically induced/drug therapy ; Aged ; *Antineoplastic Agents/adverse effects/therapeutic use ; Metabolomics/methods ; Metabolome/drug effects ; Feces/microbiology ; Multiomics ; },
abstract = {Small cell lung cancer (SCLC) is a highly aggressive malignancy, and chemotherapy frequently causes nausea and vomiting, which can impair treatment tolerance. Because thalidomide (THD) has shown potential clinical benefit in alleviating nausea and anorexia, we investigated whether its effects might be associated with changes in gut microbial composition and metabolite profiles. Fecal samples were collected from patients with SCLC and categorized into THD-treated and control groups. Metagenomic sequencing and nontargeted metabolomic profiling were performed to characterize microbial composition and metabolic signatures. THD treatment was also associated with higher microbial alpha diversity and increased abundance of genera such as Eubacterium and Prevotella. Metabolomic analysis identified several differential metabolites, including hydrogenated MDI, becocalcidiol, β-octylglucoside, and azelaic acid. Collectively, these findings suggest that the gut microbiota-metabolite axis may be associated with the potential effects of THD on CINV and anorexia in patients with SCLC. The identified microbial taxa and metabolites may serve as candidate biomarkers or potential therapeutic targets, although further validation in larger studies is necessary.},
}
MeSH Terms:
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Humans
*Gastrointestinal Microbiome/drug effects/genetics
*Small Cell Lung Carcinoma/drug therapy
*Lung Neoplasms/drug therapy
Male
Female
Middle Aged
*Thalidomide/therapeutic use/adverse effects/pharmacology
*Vomiting/chemically induced/drug therapy
*Nausea/chemically induced/drug therapy
Aged
*Antineoplastic Agents/adverse effects/therapeutic use
Metabolomics/methods
Metabolome/drug effects
Feces/microbiology
Multiomics
RevDate: 2026-04-17
The diagnostic and prognostic utility of blood metagenomic next-generation sequencing for invasive pulmonary aspergillosis.
Microbiology spectrum [Epub ahead of print].
UNLABELLED: Differentiating invasive pulmonary aspergillosis (IPA) from colonization in patients with Aspergillus-positive blood metagenomic next-generation sequencing (mNGS) remains a clinical challenge. This study aims to evaluate the diagnostic and prognostic value of blood mNGS-derived fungal load (reads per million [RPM]) and two key serological biomarkers (galactomannan [GM] and 1,3-β-D-glucan [BDG]) in distinguishing these two entities. This retrospective study enrolled 95 patients with Aspergillus detected by blood mNGS, stratified into infection (n = 60) and colonization (n = 35) groups using modified EORTC/MSGERC criteria. We analyzed clinical characteristics, co-infection spectra, and serological biomarkers (GM and BDG). Diagnostic performance was evaluated via receiver operating characteristic (ROC) analysis, and prognostic factors for 28-day mortality were identified using least absolute shrinkage and selection operator-Cox regression. Distinct co-infection patterns were observed between groups: the infection group was dominated by polymicrobial co-infections, including clinically significant pathogens such as Acinetobacter baumannii, Klebsiella pneumoniae, Mucor spp., and Human cytomegalovirus; in contrast, the colonization group primarily featured single viral co-infections. While mNGS effectively detected Aspergillus, RPM alone showed limited ability to discriminate infection from colonization, with area under the curves (AUCs) ranging from 0.406 to 0.657 across patient groups. The optimal RPM cutoff varied substantially by immune status, being highest in immunocompetent patients (RPM cutoff: 1.77). Diagnostic performance significantly improved when RPM was integrated with GM (AUC up to 0.900 at a cutoff of 0.36 optical density index) or BDG (AUC up to 0.881 pg/mL), particularly in immunocompetent individuals. RPM also correlated with albumin, hemoglobin, platelet counts, and lymphocyte counts (all P < 0.05). Multivariate analysis identified reversed halo sign (hazard ratio [HR] = 2.143), decreased ratio of partial pressure of arterial oxygen to fraction of inspired oxygen (PaO2/FiO2; HR = 1.361), and elevated lactate dehydrogenase (HR = 1.055) as independent predictors of 28-day mortality. Blood mNGS demonstrates high sensitivity for detecting Aspergillus but requires integration with serological biomarkers to differentiate IPA from colonization. The RPM can offer prognostic utility. A multimodal strategy is crucial for early diagnosis and improving outcomes in high-risk patients.
IMPORTANCE: First large-scale validation of blood mNGS for invasive pulmonary aspergillosis diagnosis-this study represents the first sizable cohort systematically evaluating blood metagenomic next-generation sequencing (mNGS) for distinguishing invasive pulmonary aspergillosis from colonization, addressing a critical gap in non-invasive diagnostic approaches for critically ill patients. Comprehensive Aspergillus co-infection profiling-we identified distinct co-infection patterns, with the infection group showing significantly higher rates of polymicrobial infections, providing crucial insights into co-infection dynamics in Aspergillosis. Optimized diagnostic integration strategy-our findings demonstrate that while mNGS-derived reads per million alone show limited diagnostic value, their integration with serological biomarkers significantly improves performance, establishing a clinically relevant multimodal diagnostic framework. Robust prognostic stratification model-through least absolute shrinkage and selection operator-Cox regression, we established a validated prognostic model identifying reversed halo sign, decreased PaO2/FiO2, and elevated lactate dehydrogenase as independent predictors of 28-day mortality, providing clinically actionable tools for risk stratification.
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@article {pmid41995327,
year = {2026},
author = {Chen, Y and Tang, X and Lu, S and Guo, L and Wang, L and Min, L and Niu, T and Zhou, Y},
title = {The diagnostic and prognostic utility of blood metagenomic next-generation sequencing for invasive pulmonary aspergillosis.},
journal = {Microbiology spectrum},
volume = {},
number = {},
pages = {e0338425},
doi = {10.1128/spectrum.03384-25},
pmid = {41995327},
issn = {2165-0497},
abstract = {UNLABELLED: Differentiating invasive pulmonary aspergillosis (IPA) from colonization in patients with Aspergillus-positive blood metagenomic next-generation sequencing (mNGS) remains a clinical challenge. This study aims to evaluate the diagnostic and prognostic value of blood mNGS-derived fungal load (reads per million [RPM]) and two key serological biomarkers (galactomannan [GM] and 1,3-β-D-glucan [BDG]) in distinguishing these two entities. This retrospective study enrolled 95 patients with Aspergillus detected by blood mNGS, stratified into infection (n = 60) and colonization (n = 35) groups using modified EORTC/MSGERC criteria. We analyzed clinical characteristics, co-infection spectra, and serological biomarkers (GM and BDG). Diagnostic performance was evaluated via receiver operating characteristic (ROC) analysis, and prognostic factors for 28-day mortality were identified using least absolute shrinkage and selection operator-Cox regression. Distinct co-infection patterns were observed between groups: the infection group was dominated by polymicrobial co-infections, including clinically significant pathogens such as Acinetobacter baumannii, Klebsiella pneumoniae, Mucor spp., and Human cytomegalovirus; in contrast, the colonization group primarily featured single viral co-infections. While mNGS effectively detected Aspergillus, RPM alone showed limited ability to discriminate infection from colonization, with area under the curves (AUCs) ranging from 0.406 to 0.657 across patient groups. The optimal RPM cutoff varied substantially by immune status, being highest in immunocompetent patients (RPM cutoff: 1.77). Diagnostic performance significantly improved when RPM was integrated with GM (AUC up to 0.900 at a cutoff of 0.36 optical density index) or BDG (AUC up to 0.881 pg/mL), particularly in immunocompetent individuals. RPM also correlated with albumin, hemoglobin, platelet counts, and lymphocyte counts (all P < 0.05). Multivariate analysis identified reversed halo sign (hazard ratio [HR] = 2.143), decreased ratio of partial pressure of arterial oxygen to fraction of inspired oxygen (PaO2/FiO2; HR = 1.361), and elevated lactate dehydrogenase (HR = 1.055) as independent predictors of 28-day mortality. Blood mNGS demonstrates high sensitivity for detecting Aspergillus but requires integration with serological biomarkers to differentiate IPA from colonization. The RPM can offer prognostic utility. A multimodal strategy is crucial for early diagnosis and improving outcomes in high-risk patients.
IMPORTANCE: First large-scale validation of blood mNGS for invasive pulmonary aspergillosis diagnosis-this study represents the first sizable cohort systematically evaluating blood metagenomic next-generation sequencing (mNGS) for distinguishing invasive pulmonary aspergillosis from colonization, addressing a critical gap in non-invasive diagnostic approaches for critically ill patients. Comprehensive Aspergillus co-infection profiling-we identified distinct co-infection patterns, with the infection group showing significantly higher rates of polymicrobial infections, providing crucial insights into co-infection dynamics in Aspergillosis. Optimized diagnostic integration strategy-our findings demonstrate that while mNGS-derived reads per million alone show limited diagnostic value, their integration with serological biomarkers significantly improves performance, establishing a clinically relevant multimodal diagnostic framework. Robust prognostic stratification model-through least absolute shrinkage and selection operator-Cox regression, we established a validated prognostic model identifying reversed halo sign, decreased PaO2/FiO2, and elevated lactate dehydrogenase as independent predictors of 28-day mortality, providing clinically actionable tools for risk stratification.},
}
RevDate: 2026-04-17
The Emerging Short Chain Fatty Acid Enriched Metabotype in Irritable Bowel Syndrome and Its Potential Clinical Relevance.
Alimentary pharmacology & therapeutics [Epub ahead of print].
BACKGROUND: Metabolomic analysis in irritable bowel syndrome (IBS) has identified metabotypes enriched in faecal short-chain fatty acids (SCFAs), but it remains unclear whether this reflects rapid colonic transit or if these metabolites actively contribute to pathophysiology.
AIMS: We aimed to determine whether an SCFA metabotype could be identified within a cohort of patients with moderate-severe IBS-D and assess whether this metabotype associated with greater clinical severity, alterations in gut transit time and specific microbiome features.
METHODS: This was a post hoc cross-sectional exploratory analysis of baseline data from the multicentre, randomised, placebo-controlled trial of ondansetron in IBS-D (TRITON: ISRCTN17508514). Faecal volatile organic compounds were profiled by GC-MS. The microbiome was characterised by whole-genome shotgun metagenomic sequencing. Unsupervised hierarchical clustering was used to identify an SCFA-enriched metabotype and non-negative matrix factorisation (NMF) enabled the derivation of complementary metabosignatures by assessing continuous gradients in metabolite composition.
RESULTS: A SCFA-enriched metabotype was identified in 20/63 participants (31.7%). This metabotype was associated with more severe abdominal pain, urgency, increased stool frequency and faster whole-gut transit. NMF identified three metabosignatures: S3 was typified by a high proportion of SCFAs and captured the SCFA-enriched metabotype, while S1 and S2 corresponded to the non-SCFA ("Other") metabotype. SCFA relative abundance positively correlated with symptom severity and inversely correlated with transit time. The Other metabotype and S1/S2 signatures were enriched in taxa linked to slower transit, whereas S3 showed no overlapping taxa with the SCFA metabotype.
CONCLUSION: A faecal metabotype enriched in SCFAs associated with an IBS-D phenotype characterised by pain, urgency, rapid transit and higher stool frequency.
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PubMed:
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@article {pmid41995478,
year = {2026},
author = {Conley, TE and Duncan, A and Modasia, A and Ford, AC and Pritchard, DM and Hildebrand, F and Warren, FJ and Spiller, R and Probert, CS},
title = {The Emerging Short Chain Fatty Acid Enriched Metabotype in Irritable Bowel Syndrome and Its Potential Clinical Relevance.},
journal = {Alimentary pharmacology & therapeutics},
volume = {},
number = {},
pages = {},
doi = {10.1111/apt.70677},
pmid = {41995478},
issn = {1365-2036},
abstract = {BACKGROUND: Metabolomic analysis in irritable bowel syndrome (IBS) has identified metabotypes enriched in faecal short-chain fatty acids (SCFAs), but it remains unclear whether this reflects rapid colonic transit or if these metabolites actively contribute to pathophysiology.
AIMS: We aimed to determine whether an SCFA metabotype could be identified within a cohort of patients with moderate-severe IBS-D and assess whether this metabotype associated with greater clinical severity, alterations in gut transit time and specific microbiome features.
METHODS: This was a post hoc cross-sectional exploratory analysis of baseline data from the multicentre, randomised, placebo-controlled trial of ondansetron in IBS-D (TRITON: ISRCTN17508514). Faecal volatile organic compounds were profiled by GC-MS. The microbiome was characterised by whole-genome shotgun metagenomic sequencing. Unsupervised hierarchical clustering was used to identify an SCFA-enriched metabotype and non-negative matrix factorisation (NMF) enabled the derivation of complementary metabosignatures by assessing continuous gradients in metabolite composition.
RESULTS: A SCFA-enriched metabotype was identified in 20/63 participants (31.7%). This metabotype was associated with more severe abdominal pain, urgency, increased stool frequency and faster whole-gut transit. NMF identified three metabosignatures: S3 was typified by a high proportion of SCFAs and captured the SCFA-enriched metabotype, while S1 and S2 corresponded to the non-SCFA ("Other") metabotype. SCFA relative abundance positively correlated with symptom severity and inversely correlated with transit time. The Other metabotype and S1/S2 signatures were enriched in taxa linked to slower transit, whereas S3 showed no overlapping taxa with the SCFA metabotype.
CONCLUSION: A faecal metabotype enriched in SCFAs associated with an IBS-D phenotype characterised by pain, urgency, rapid transit and higher stool frequency.},
}
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ESP Quick Facts
ESP Origins
In the early 1990's, Robert Robbins was a faculty member at Johns Hopkins, where he directed the informatics core of GDB — the human gene-mapping database of the international human genome project. To share papers with colleagues around the world, he set up a small paper-sharing section on his personal web page. This small project evolved into The Electronic Scholarly Publishing Project.
ESP Support
In 1995, Robbins became the VP/IT of the Fred Hutchinson Cancer Research Center in Seattle, WA. Soon after arriving in Seattle, Robbins secured funding, through the ELSI component of the US Human Genome Project, to create the original ESP.ORG web site, with the formal goal of providing free, world-wide access to the literature of classical genetics.
ESP Rationale
Although the methods of molecular biology can seem almost magical to the uninitiated, the original techniques of classical genetics are readily appreciated by one and all: cross individuals that differ in some inherited trait, collect all of the progeny, score their attributes, and propose mechanisms to explain the patterns of inheritance observed.
ESP Goal
In reading the early works of classical genetics, one is drawn, almost inexorably, into ever more complex models, until molecular explanations begin to seem both necessary and natural. At that point, the tools for understanding genome research are at hand. Assisting readers reach this point was the original goal of The Electronic Scholarly Publishing Project.
ESP Usage
Usage of the site grew rapidly and has remained high. Faculty began to use the site for their assigned readings. Other on-line publishers, ranging from The New York Times to Nature referenced ESP materials in their own publications. Nobel laureates (e.g., Joshua Lederberg) regularly used the site and even wrote to suggest changes and improvements.
ESP Content
When the site began, no journals were making their early content available in digital format. As a result, ESP was obliged to digitize classic literature before it could be made available. For many important papers — such as Mendel's original paper or the first genetic map — ESP had to produce entirely new typeset versions of the works, if they were to be available in a high-quality format.
ESP Help
Early support from the DOE component of the Human Genome Project was critically important for getting the ESP project on a firm foundation. Since that funding ended (nearly 20 years ago), the project has been operated as a purely volunteer effort. Anyone wishing to assist in these efforts should send an email to Robbins.
ESP Plans
With the development of methods for adding typeset side notes to PDF files, the ESP project now plans to add annotated versions of some classical papers to its holdings. We also plan to add new reference and pedagogical material. We have already started providing regularly updated, comprehensive bibliographies to the ESP.ORG site.
ESP Picks from Around the Web (updated 28 JUL 2024 )
Old Science
Weird Science
Treating Disease with Fecal Transplantation
Fossils of miniature humans (hobbits) discovered in Indonesia
Paleontology
Dinosaur tail, complete with feathers, found preserved in amber.
Astronomy
Mysterious fast radio burst (FRB) detected in the distant universe.
Big Data & Informatics
Big Data: Buzzword or Big Deal?
Hacking the genome: Identifying anonymized human subjects using publicly available data.