Evidence map›Paper›PMID 42324270›Full record

ArticleNPJ biofilms and microbiomes2026

Characterization of gut microbiome signatures in metabolic dysfunction associated steatotic liver disease.

Yuyang Ma, Min Yang, Andi Xu, Xueni Zhao, Xiao Dong, Wenyuan Li, Huakang Tu, Yi Guo, Zhengya Song, Xifeng Wu

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. The Role ofInternational journal of molecular sciences · 2026
    Review
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

10 authors.

Yuyang Ma *Center of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Min Yang *Center of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Andi XuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Xueni ZhaoCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Xiao DongCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Wenyuan LiCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Huakang TuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Yi GuoDepartment of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Zhengya SongDepartment of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
Xifeng WuCenter of Clinical Big Data and Analytics of the Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. xifengw@zju.edu.cn.

Funding

Cancer Center, Zhejiang University and Key Research and Development Program of Zhejiang Province 2020C03002Healthy Zhejiang One Million People Cohort K20230085the Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang 2019R01007Zhejiang Key Laboratory of Intelligent Preventive Medicine 2020E10004
6 · The paper itself

Abstract

This cross-sectional study compared the gut microbiota between metabolic dysfunction associated steatotic liver disease (MASLD) patients and healthy controls. A total of 1401 participants, including 392 MASLD patients and 1009 healthy controls, were enrolled from one project site of the Healthy Zhejiang One Million People Cohort (HOPE) between January 2022 and June 2023. Shotgun metagenomic sequencing was conducted to compare the composition and functional profiles of the gut microbiome between MASLD patients and healthy controls. Compared to the control group, MASLD patients exhibited significant alterations in both alpha and beta diversity, along with reduced connectivity and robustness of the gut microbial network. We identified significant changes in the abundance of 12 microbial strains between the two groups with two strains (t_SGB4749 and t_SGB4753) enriched and ten strains depleted in MASLD patients. In comparison to the control group, MASLD patients demonstrated distinct differences in the genomic potential related to increased glycolysis, decreased pyruvate metabolism, and elevated lipopolysaccharide (LPS) biosynthesis in both metagenomic functional profiling and single-strain genome analysis. These findings suggest that alterations in specific microbial strains and metabolic pathways may contribute to MASLD pathogenesis.

Indexed as

BacteriaFatty LiverGastrointestinal MicrobiomeAdultCross-Sectional StudiesFemaleHumansMaleMetabolic Networks and PathwaysMetagenomeMetagenomicsMiddle Aged

Identifiers

PMID42324270
PMCPMC13444103

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.