ArticleGut pathogens2025
Exploring the role of gut microbiota in inflammatory bowel disease patients comorbid with non-alcoholic fatty liver disease.
Article in Gut pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Folate and the Human Enteric Microbiome: Biological Mechanisms and Clinical Implications.International journal of molecular sciences · 2026Pooled it
- Link between ultra-processed foods and drinks intake, gut microbiota and inflammation: an exploratory analysis in adult volunteers.Nutrition journal · 2026Observational
- Gut-Heart Axis: Microbiome Involvement in Wild-Type Transthyretin Amyloidosis.International journal of molecular sciences · 2026Article
- Metagenomic landscape of peripancreatic necrotic pus in acute pancreatitis: pathogen ecology, resistance gene profiles, and disease-associated microbial patterns.Frontiers in microbiology · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundInflammatory bowel disease (IBD) commonly coexists with non-alcoholic fatty liver disease (NAFLD). Despite metabolic factors being less involved, IBD patients exhibit a higher risk of developing NAFLD compared to non-IBD individuals. Given the shared role of gut dysbiosis in the pathogenesis of both diseases, this study investigated the involvement of gut microbiota and associated metabolic pathways in IBD-associated NAFLD (COMO).
methodsA retrospective analysis of clinical profiles from 490 IBD, 89 NAFLD, and 68 COMO patients was conducted. Fecal samples from 30 IBD, 32 NAFLD, 26 COMO patients and 29 healthy controls were prospectively collected and subjected to 16 S rRNA gene sequencing for microbial community analysis and functional pathway prediction. Subsequently, machine learning modeling was employed for feature importance analysis and identification of COMO patients.
resultsDemographic analysis revealed that COMO patients developed NAFLD earlier than NAFLD alone, with fewer metabolic associations with hypertension, hyperlipidemia and glucose dysregulation. Compared with IBD and NAFLD groups, COMO microbiota exhibited lower alpha diversity, with beta diversity aligning with IBD but distinct from NAFLD group. Shared microbial signatures included increased Lactococcus and decreased Coprococcus 3 and Ruminococcus 2, which was correlated with 11 metabolic pathways: five vitamin B pathways (thiamine, vitamin B6, biotin, folate and riboflavin), isoflavonoid, caffeine, phosphonate, cyanoamino acid, lipoic acid and ubiquinone pathways. Integrated microbial-metabolic machine learning models (logistic regression, random forest, support vector machine, and XGBoost) achieved AUC of 0.818-0.864 for COMO identification.
conclusionsOur findings implicate microbiota-mediated metabolic reprogramming in IBD-associated NAFLD pathogenesis, highlighting potential therapeutic targets for the treatment and prevention of NAFLD in IBD.
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