Evidence map›Paper›PMID 41753757›Full record

ReviewMicroorganisms2026

The Gut-Liver Axis in MASLD: From Host-Microbiome Crosstalk to Precision Therapeutics.

Ji Zhou, Bowen Zhu, Ziqian Bing, Tingting Wang, Yue Zhao

Abstract readReview
In one paragraph

Review in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. From Single Agents to Synergy: Redefining Therapeutic Strategies in MASLD.International journal of molecular sciences · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Observational
  7. Review
  8. Article
  9. Review
  10. 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

5 authors.

Ji ZhouThe State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), Division of Immunology, Medical School, Nanjing University, Nanjing 210093, China.ORCID 0009-0006-4038-7360
Bowen ZhuThe State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), Division of Immunology, Medical School, Nanjing University, Nanjing 210093, China.
Ziqian BingThe State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), Division of Immunology, Medical School, Nanjing University, Nanjing 210093, China.
Tingting WangThe State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), Division of Immunology, Medical School, Nanjing University, Nanjing 210093, China.
Yue ZhaoThe State Key Laboratory of Pharmaceutical Biotechnology, Chemistry and Biomedicine Innovation Center (ChemBIC), Division of Immunology, Medical School, Nanjing University, Nanjing 210093, China.ORCID 0000-0002-3236-6360

Funding

Fundamental Research Funds for the Central Universities 2024300382National Natural Science Foundation of China 32271182National Natural Science Foundation of China 8257103456National Natural Science Foundation of China T2341015
6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an emerging global health challenge with limited effective therapeutic options. The gut microbiota, at the interface of host metabolism and immunity, acts as a critical disease modifier via the gut-liver axis. This review goes beyond cataloging its associations and synthesizes how intrinsic and extrinsic factors sculpt a permissive microbial ecosystem. These factors likely converge to establish a state of "metabolic dysbiosis", fueling MASLD progression through three core mechanisms: compromised intestinal barrier integrity with immune activation, dysregulation of key microbial metabolite axes, and direct hepatic insult from gut-derived products. Next, we evaluate the translational landscape through a mechanism-informed precision framework, with an emphasis on how microbiome-based interventions could be aligned with non-invasive biomarkers increasingly used for MASLD risk stratification and treatment monitoring. By integrating evidence across scales, this review aims to frame a roadmap from microbiome correlations to causality-driven, personalized therapeutic strategies for MASLD.

Indexed as

dysbiosisgut–liver axisgut microbiomeMASLDmicrobiome-based therapeutics

Identifiers

PMID41753757
PMCPMC12942669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.