Evidence map›Paper›PMID 41056018›Full record

ArticleInternational journal of surgery (London, England)2026

Potential regulators and metabolic networks of muscle fatty infiltration: genomic and radiomics investigation based on 33 300 participants.

Jiale Tan, Zheci Ding, Jinglin Zheng, Jie Zhang, Xinyi Chen, Zhou Li, Luze Shi, Jiwu Chen, Yaying Sun

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 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

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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. Article
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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

9 authors.

Jiale TanDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zheci DingDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jinglin ZhengDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jie ZhangSchool of Medicine, Tongji University, Shanghai, China.
Xinyi ChenDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhou LiDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Luze ShiDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jiwu ChenDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yaying SunDepartment of Sports Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle fatty infiltration (MFI), the pathological replacement of muscle by adipose tissue in chronic diseases, lacks comprehensive genetic characterization despite known cellular contributors. Elucidating its genetic architecture and clinical correlations could reveal therapeutic targets for this debilitating condition. MATERIALS AND

methodsWe performed a genome-wide association study (GWAS) on 33 300 participants' genomic/MRI data, identifying MFI-associated loci. Fine-mapping (GCTA-COJO/FUMA), Mendelian randomization (tissue-specific genes, plasma proteins, metabolites) and genetic correlation (LDSC) analyses were conducted. KLF5's functional role was validated through inhibition experiments in fibro-adipogenic progenitors (FAPs) and murine immobilization-induced MFI models.

resultsGWAS revealed 91 significant SNPs across 26 loci, with risk genes enriched in olfactory transduction and JAK-STAT pathways. Multi-omics integration identified KLF5 as a key transcriptional regulator, CHRDL2/HLA-E as circulating risk protein, and phosphatidylcholines/triglycerides as causal metabolites, and genetic correlations between MFI and metabolic/musculoskeletal disorders. Experimentally, KLF5 suppression reduced adipo-fibrogenic FAP differentiation and improved muscle histology in mice.

conclusionOur study delineates MFI's polygenic basis, establishes clinical-metabolic relationships, and mechanistically validates KLF5 as a target. These findings provide a framework for treating MFI through metabolic modulation or KLF5 inhibition, with broader implications for muscle-degenerative comorbidities.

Indexed as

Adipose TissueMetabolic Networks and PathwaysMuscle, SkeletalAdultAnimalsFemaleGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMiceMiddle AgedPolymorphism, Single NucleotideRadiomicsgenetic atlasgenome-wide association studymulti-omic analysismuscle fatty infiltrationtherapeutic targets

Identifiers

PMID41056018
PMCPMC12825550

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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.