Evidence mapPaperPMID 40809928Full record

ReviewWorld journal of gastroenterology2025

Gut-liver axis in diabetes: Mechanisms and therapeutic opportunities.

Mona Mohamed Ibrahim Abdalla

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2025. 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. Review
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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

1 author.

Mona Mohamed Ibrahim AbdallaDepartment of Human Biology, School of Medicine, International Medical University, Bukit Jalil 57000, Kuala Lumpur, Malaysia. monamohamed@imu.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut-liver axis represents a complex, bidirectional communication network between the gastrointestinal tract and the liver, playing a central role in maintaining metabolic homeostasis. In diabetes, disruption of this axis, mediated by gut microbiota dysbiosis, impaired intestinal barrier function, and pro-inflammatory signaling, contributes significantly to insulin resistance, hepatic steatosis, and systemic metabolic dysfunction. This review explores the underlying mechanisms by which microbial alterations, increased gut permeability, and inflammatory pathways influence hepatic insulin resistance and glucose metabolism. In addition to established mechanisms, emerging pathways involving neuroendocrine circuits, microbial metabolites, and immune mediators are discussed, offering deeper insight into gut-liver interactions in metabolic disease. The review also outlines therapeutic strategies targeting the gut-liver axis, including microbiota modulation, barrier function enhancement, and anti-inflammatory interventions, emphasizing their potential in advancing diabetes management. A conceptual framework is proposed to integrate these components into a precision medicine approach for metabolic regulation. Key challenges in clinical translation, including patient heterogeneity and the absence of reliable biomarkers to guide treatment decisions are also discussed to inform future research. By linking mechanistic understanding with therapeutic innovation, the review highlights the gut-liver axis as a promising target for personalized diabetes care.

Indexed as

Diabetes MellitusGastrointestinal MicrobiomeLiverAnimalsAnti-Inflammatory AgentsDysbiosisGastrointestinal TractHumansHypoglycemic AgentsInsulin ResistanceIntestinal MucosaPrecision MedicineAnti-Inflammatory AgentsHypoglycemic AgentsAnti-inflammatoryDiabetesDiabetes managementGut-liver axisIntestinal permeabilityMetabolic homeostasisMicrobiota

Identifiers

PMID40809928
PMCPMC12344363

What Socratic holds

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LicenceCC BY-NC
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 Socratic graph.