Evidence map›Paper›PMID 41094697›Full record

ArticleGut pathogens2025

Exploring the role of gut microbiota in inflammatory bowel disease patients comorbid with non-alcoholic fatty liver disease.

Jiachen Hu, Chen Zhou, Lu Zhang, Yuzhu Chen, Jun Li, Junxia Li, Liping Duan

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiachen Hu *Department of Gastroenterology, Peking University Third Hospital, Beijing, 100191, China.
Chen Zhou *Department of Gastroenterology, Peking University Third Hospital, Beijing, 100191, China.
Lu Zhang *Department of Gastroenterology, Peking University First Hospital, Beijing, 100034, China.
Yuzhu ChenDepartment of Gastroenterology, Peking University Third Hospital, Beijing, 100191, China.
Jun LiDepartment of Gastroenterology, Peking University Third Hospital, Beijing, 100191, China.
Junxia LiDepartment of Gastroenterology, Peking University First Hospital, Beijing, 100034, China. lijxtom@foxmail.com.
Liping DuanDepartment of Gastroenterology, Peking University Third Hospital, Beijing, 100191, China. duanlp@bjmu.edu.cn.

Funding

National Key Research and Development Program of China 2021YFA1301304National Natural Science Foundation of China 82170557
6 · The paper itself

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.

Indexed as

Gut microbiotaInflammatory bowel diseaseMetabolic pathwaysNon-alcoholic fatty liver disease

Identifiers

PMID41094697
PMCPMC12522305

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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.