Evidence mapPaperPMID 41001677Full record

ReviewFrontiers in endocrinology2025

Metabolic and genetic mechanisms of metabolic dysfunction-associated steatotic liver disease: an integrative perspective from molecular pathways to clinical challenges.

Jingyuan Ma, Yanna Ma, Xing Wan, Junchen Li, Yunshu Zhang, Jifeng Liu, Yunhai Gao

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 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. Review
  3. Review
  4. Article
  5. 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

7 authors.

Jingyuan Ma *The First Clinical Medical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Yanna Ma *The First Clinical Medical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Xing Wan *The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Junchen LiThe First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yunshu ZhangThe First Affiliated Hospital of Dalian Medical University, Dalian, China.
Jifeng LiuThe First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yunhai GaoThe First Clinical Medical College, Liaoning University of Traditional Chinese Medicine, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is now the most common chronic liver condition worldwide, closely linked to obesity, insulin resistance, and metabolic syndrome. It spans a spectrum from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH), fibrosis, and hepatocellular carcinoma. This review examines the core metabolic disruptions-particularly in lipid, glucose, bile acid, amino acid, and iron metabolism-that drive MASLD pathogenesis. It also explores how genetic variants such as PNPLA3, TM6SF2, GCKR, HSD17B13, and MBOAT7 contribute to disease susceptibility and variability in clinical outcomes. The interaction between genetic background and metabolic stress is central to the heterogeneity seen in disease progression and treatment response. We further discuss persistent clinical challenges and summarize recent advances in drugs, natural compounds, and microbiota-based strategies. Finally, we highlight the promise of multi-omics approaches to better stratify patients and personalize management. A clearer understanding of the molecular and clinical complexity of MASLD will be key to developing more effective and individualized strategies for diagnosis and treatment.

Indexed as

Fatty LiverMetabolic SyndromeAnimalsHumansclinical managementgenetic polymorphismsMASLDmetabolic dysregulationprecision medicine

Identifiers

PMID41001677
PMCPMC12457186

What Socratic 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 Socratic graph.