ArticleGut microbes
Integrative analysis with microbial modelling and machine learning uncovers potential alleviators for ulcerative colitis.
Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Gut microbial culturomics identifies autism-associatedMicrobiology spectrum · 2026Article
- Multifunctional Cu-doped MnMaterials today. Bio · 2026Article
- Fecal carbohydrate-degrading bacteria are associated with reduced incidence of lower gastrointestinal GVHD.Blood advances · 2026Article
- Antibiotics administration during weaning ameliorates intestinal mucosal inflammation in adult mice and their offspring.Frontiers in immunology · 2026Article
- Gut-Lung Axis Microbiome Dysbiosis and Cross-Domain Network Analysis in Bronchiectasis Complicated by Invasive Pulmonary Aspergillosis.Infection and drug resistance · 2026Article
- Luohuazizhu Granules Alleviate Symptoms of Ulcerative ColitisCombinatorial chemistry & high throughput screening · 2026Article
- Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease.Gut microbes · 2025Review
- Formononetin derived from Parabacteroides merdae alleviates MPTP-induced Parkinson's disease in mice by inhibiting ferroptosis via the PI3K-AKT-ferritinophagy axis.Communications biology · 2025Article
- Rumen Microbiota-Based Machine Learning Approach for Predicting Heat Stress and Identifying Associated Microbes.Microbial ecology · 2025Article
- Parabacteroides as a promising target for disease intervention: current stage and pending issues.NPJ biofilms and microbiomes · 2025Review
- Fecal microbiota transplantation: application scenarios, efficacy prediction, and factors impacting donor-recipient interplay.Frontiers in microbiology · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ulcerative colitis (UC) is a challenging form of inflammatory bowel disease, and its etiology is intricately linked to disturbances in the gut microbiome. To identify the potential alleviators of UC, we employed an integrative analysis combining microbial community modeling with advanced machine learning techniques. Using metagenomics data sourced from the Integrated Human Microbiome Project, we constructed individualized microbiome community models for each participant. Our analysis highlighted a significant decline in both α and β-diversity of strain-level microbial populations in UC subjects compared to controls. Distinct differences were also observed in the predicted fecal metabolite profiles and strain-to-metabolite contributions between the two groups. Using tree-based machine learning models, we successfully identified specific microbial strains and their associated metabolites as potential alleviators of UC. Notably, our experimental validation using a dextran sulfate sodium-induced UC mouse model demonstrated that the administration of
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.