Gut microbiota and health

The paper tracks genomic changes in Bacteroides xylanisolvens strains in captive apes, showing convergent gene acquisitions related to host mucin metabolism.

This study identifies that systemic metabolic depletion of the gut microbiome reduces immunotherapy effectiveness in melanoma by altering cobalamin and amino acid metabolism.

The paper identifies increased Bacteroides in an ASD cohort and shows sex-dependent behavioral effects in mice.

The paper demonstrates that shallow depth gut metagenomics sequencing can be used to build a microbiome-based model for ACVD risk stratification with performance comparable to existing diagnostic methods.

The paper introduces GMWI2, a gut microbiome health index that improves disease prediction accuracy compared to previous models and traditional diversity indices.

This study shows gut microbiota enhances enteroendocrine cell mitochondrial function and maturation through calcium signaling changes.

This study shows that colonic spermidine, produced by B. uniformis, promotes intestinal epithelial cell proliferation and migration during gut repair.

This study investigates gut microbiome colonization dynamics after antibiotic use, finding prolonged delays in microbial transmission and ecological barriers to colonization.

The paper identifies a gut microbiome meta-interactome map showing how bacterial effectors modulate human immunity and are enriched in Crohn's disease.

This study identifies genetic loci in sorghum that influence human gut microbiome composition through in vitro fermentation of grain.

This study evaluates how data transformations and model selection affect feature importance in microbiome classification, showing that presence-absence transformations perform well and only a small subset of features is critical for classification.

This study shows that gut commensal bacteria can translocate to the brain in mice with dysbiosis and neurological disease, correlating with neuroinflammation and protein aggregation.

The paper develops a network model linking gut microbiota, metabolites, and aging hallmarks to identify microbes and metabolites influencing aging processes.

This study introduces a computational approach to identify microbial co-occurrence networks and signature pathways in gut microbiomes associated with inflammatory bowel disease.

This study examines how bushfires affect the gut microbiome of Kangaroo Island echidnas by comparing scat samples before and after the fires, revealing significant shifts in bacterial composition.

This study shows that dietary fiber and gut microbiota influence lung immune tone via short-chain fatty acids, reducing inflammation and lung injury in mice.

This study identifies risk factors for gastrointestinal Group B Streptococcus (GBS) carriage in adults by analyzing stool samples and survey data, finding associations with iron consumption and dental hygiene.

This study examines how donor individuality, temporal variation, and culture medium affect microbiota composition and metabolic activity in fecal batch cultures using polydextrose as a carbon source.

This paper uses topic modeling to identify microbiome communities associated with relapsing-remitting MS, revealing both known and previously overlooked bacterial taxa.

The paper compares gut microbiomes of diarrheal and non-diarrheal samples to identify dysbiosis patterns and potential prognostic markers and probiotics for diarrhea prevention.

The paper maps gut bacteria into functional niches to reveal the ecological structure of human gut microbiomes, identifying characteristic taxa associated with specific metabolic functions.

The paper shows that gut microbiota prevents sudden cardiac death in mice by suppressing occult cardiac sub-micrometastases.

This study analyzes network reconstruction biases in metagenomic data using correlation measures and shows how compositional data transformations improve accuracy.

This paper introduces a deep learning method that detects multiple diseases simultaneously using microbiome data and host variables, outperforming traditional ML approaches and capturing key disease-related factors.

This study shows that dietary fibre and SCFA supplementation improve post-stroke outcomes in mice by modulating the gut microbiome and acting through GPR41/43/109A receptors.

The paper uses Mendelian randomization to find causal links between gut microbiome taxa and intelligence, identifying Oxalobacter as a risk factor and Fusicatenibacter as protective.

The paper compares gut metagenomes of dairy workers and community controls to assess antibiotic resistance and pathogen exposure risks.

The paper identifies flagellated gut bacteria, Eubacterium rectale and Roseburia inulinivorans, as contributors to higher HDL-C levels in humans, with sex-specific differences in their cardiovascular benefits.

The paper finds a negative association between infant left amygdala volume and fecal microbiota alpha diversity in early life.

This study introduces an Energy Landscape method combining LDA and MaxEnt models to analyze time-series microbiome data from IBD, identifying microbial contributions to disease development.