Evidence map›Paper›PMID 42168694›Full record

ReviewProbiotics and antimicrobial proteins2026

The Gut-Liver Axis in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): Mechanisms, Microbiome Interactions and Therapeutic Targets.

Poonam Sahu, Trilochan Satapathy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Probiotics and antimicrobial proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Poonam SahuDepartment of Pharmacology, Columbia Institute of Pharmacy, Raipur, Chhattisgarh, 493111, India. poonamsahu152@gmail.com.ORCID http://orcid.org/0000-0003-4398-003X
Trilochan SatapathyDepartment of Pharmacology, Columbia Institute of Pharmacy, Raipur, Chhattisgarh, 493111, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly recognized as a multifactorial condition in which the gut-liver axis plays a central pathogenic role. While a large body of literature has described associations between gut microbiota alterations and MASLD, a critical synthesis of the mechanistic pathways linking microbial activity to liver injury remains lacking. This review specifically focuses on gut-derived microbial metabolites as key mediators of disease progression. We examine how short-chain fatty acids, bile acids, lipopolysaccharide (LPS), trimethylamine-N-oxide (TMAO) and microbially derived ethanol influence hepatic lipid metabolism, inflammation and fibrogenesis through defined molecular pathways, including FXR signaling, TLR4 activation and immune-metabolic crosstalk. Importantly, we highlight inconsistencies in human microbiome studies, limitations in establishing causality and the challenges in translating preclinical findings into effective therapies. Although microbiome-targeted interventions such as probiotics, bile acid modulators and fecal microbiota transplantation show promise, their clinical efficacy remains variable due to interindividual heterogeneity and lack of mechanistic precision.By integrating current mechanistic evidence with translational insights, this review identifies critical knowledge gaps and proposes future directions for metabolite-focused therapeutic strategies. A more precise understanding of gut-derived signaling pathways will be essential to move from associative microbiome research toward targeted and personalized interventions in MASLD.

Indexed as

CirrhosisFibrosisGut-liver axisMASHMASLDMicrobial metabolites

Identifiers

What OpenQuestion holds

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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.