Evidence map›Paper›PMID 41488134›Full record

ReviewFrontiers in endocrinology2025

Multiorgan crosstalk in MASLD/MASH: from hepatic pathogenesis to systemic complications.

Wenhua Bai, Zheng Zhu

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

2 authors.

Wenhua BaiDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zheng ZhuDepartment of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) has evolved from a hepatic-centric condition to a systemic metabolic disorder, with multisystem complications driving clinical outcomes. This review comprehensively examines the pathogenesis and extrahepatic manifestations of MASLD, focusing on interorgan crosstalk. We first delineate the hepatic progression from steatosis to fibrotic metabolic dysfunction-associated steatohepatitis (MASH), emphasizing lipotoxicity, mitochondrial dysfunction, and inflammatory cascades. Subsequently, we analyze key extrahepatic axes (1): the liver-brain axis, where neuroinflammation and cognitive impairment are linked to hepatic metabolic disturbances (2); the gut-liver axis, highlighting roles of gut microbiota dysbiosis and intestinal permeability in disease progression; and (3) the liver-kidney axis, exploring shared fibrotic mechanisms and functional decline. Common pathways-including chronic inflammation, oxidative stress, and immune-metabolic dysregulation-underpin these systemic complications. Therapeutically, we advocate a shift from isolated liver-targeted approaches to integrated multisystem strategies. This review underscores the imperative to reconceptualize MASLD as a systemic disease, necessitating collaborative efforts to refine diagnostic frameworks and therapeutic paradigms for improving patient outcomes.

Indexed as

Fatty LiverLiverMetabolic DiseasesNon-alcoholic Fatty Liver DiseaseAnimalsGastrointestinal MicrobiomeHumansgut-liver axisliver-brain axisliver-kidney axisMASHMASLDmetabolic inflammationmultisystem complicationstherapy

Identifiers

PMID41488134
PMCPMC12756970

What OpenQuestion holds

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Registered trials

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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.