Evidence map›Paper›PMID 41824007›Full record

ReviewFASEB journal : official publication of the Federation of American Societies for Experimental Biology2026

The Gut-Liver Axis in Metabolic Dysfunction-Associated Steatotic Liver Disease: From Mechanistic Insights to Precision Therapeutics.

Shaoliang Zhu, Mengjie Zou, Qijun Wu, Yan Zou, Tingting Tan, Zhangnan Huang, Zheng Gong, Honglin Luo, Xiaofeng Dong

Abstract readReview
In one paragraph

Review in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

9 authors.

Shaoliang ZhuDepartment of Hepatobiliary, Pancreas and Spleen Surgery, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Mengjie ZouDepartment of Nephrology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Qijun WuDepartment of Hepatobiliary, Pancreas and Spleen Surgery, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Yan ZouDepartment of Hepatobiliary, Pancreas and Spleen Surgery, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Tingting TanDepartment of Hepatobiliary, Pancreas and Spleen Surgery, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Zhangnan HuangDepartment of Hepatobiliary, Pancreas and Spleen Surgery, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Zheng GongDepartment of Anesthesiology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Honglin LuoInstitute of Oncology, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.ORCID https://orcid.org/0009-0003-5057-001X
Xiaofeng DongDepartment of Hepatobiliary, Pancreas and Spleen Surgery, the People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.

Funding

Guangxi Natural Science Fundation 2024GXNSFAA010247Guangxi Youth Science Fun Project 2024GXNSFBA010227Research Foudation for Advanced Talents of The people's and Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Science QYY-GCRC-202301
6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most prevalent chronic liver condition globally, shifting the diagnostic paradigm toward an affirmative, metabolism-focused framework. The gut-liver axis is a central pathophysiological pathway. This review aims to synthesize revolutionary advances from 2023 to 2025 in understanding and treating MASLD by focusing on the gut microbiome's role. This comprehensive review analyzes cutting-edge research published between 2023 and 2025. We examined evidence from landmark clinical trials, developments in next-generation probiotics, the integration of artificial intelligence (AI) with multiomics for diagnostics, and studies clarifying the interplay between host genetics and the microbiome in MASLD pathogenesis. Causal links between gut dysbiosis and MASLD pathology are now firmly established. Fecal microbiota transplantation (FMT) effectively prevents hepatic encephalopathy recurrence, and next-generation probiotics like Akkermansia muciniphila have entered MASLD-specific trials. AI-driven diagnostic tools have achieved regulatory qualification from the European Medicines Agency. Furthermore, host genetics, particularly PNPLA3 variants, are shown to not only predispose to MASLD but also shape specific microbial communities that functionally contribute to disease progression. The field is rapidly advancing from correlative observations to causal evidence, enabling the development of microbiome-based biomarkers and personalized therapies. The future of MASLD management lies in precision strategies, such as bacteriophage therapy and functionally defined probiotics, which integrate metabolic, microbial, and genetic factors into individualized care, heralding a new therapeutic era.

Indexed as

Fatty LiverGastrointestinal MicrobiomeLiverMetabolic DiseasesNon-alcoholic Fatty Liver DiseasePrecision MedicineAnimalsDysbiosisFecal Microbiota TransplantationHumansProbioticsfecal microbiota transplantationgut‐liver axisMASLDmicrobiomeprecision medicine

Identifiers

PMID41824007
PMCPMC12986715

What OpenQuestion holds

Textmetadata
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.