Evidence mapPaperPMID 42208458Full record

ArticleClinics (Sao Paulo, Brazil)2026

Integrative profiling of transcriptome and metabolome of skeletal muscle after endurance exercise in a high-fat diet.

Ning Jiang, Yu Song, Zhe Wang, Yumo Dong, Qian Wang, Huaduo Wu, Xin Gao, Yaning Song, Yunlong Cui

Abstract read
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Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ning JiangTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Yu SongTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Zhe WangDepartment of Basic Teaching of Military Common Subjects, Logistics University of Chinese People's Armed Police Force, Tianjin, China.
Yumo DongTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Qian WangTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Huaduo WuTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Xin GaoTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Yaning SongTianjin Key Laboratory of Exercise Physiology and Sports Medicine, Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Yunlong CuiDepartment of Hepatobiliary Surgery, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China. Electronic address: jinhpj@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRegular exercise reduces the risk of obesity, but the impact of endurance exercise on skeletal muscle metabolic processes remains incompletely understood. This study investigated the effects of endurance exercise on the transcriptome and metabolome of skeletal muscle in obese mice.

methodTranscriptomic and metabolomic profiling of skeletal muscle samples was performed across experimental groups to identify differentially expressed genes and differential metabolites. Functional enrichment of DEGs and metabolites was analyzed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Integrated pathway-level analysis was conducted using iPath 3.0.

resultsIntegrated transcriptomic and metabolomic analysis indicated that endurance exercise altered lipid metabolism, amino acid metabolism, and nucleotide metabolism pathways in the skeletal muscle of obese mice. Specifically, endurance exercise downregulated the expression of lipid metabolism-related gene Acot2, amino acid metabolism-related gene Nos2, and carbohydrate metabolism-related genes Itpkb and Inpp4b. Furthermore, endurance exercise decreased the levels of palmitic acid, arachidonate, phosphatidylcholine, acetylcholine, hypoxanthine, urea, and acetyl-CoA.

conclusionsEndurance exercise positively impacts skeletal muscle metabolic health in obese mice through coordinated regulation of multiple metabolic pathways and reduction of specific metabolites.

Indexed as

Endurance exerciseObesitySkeletal muscle metabolomeSkeletal muscle transcriptome

Identifiers

PMID42208458
PMCPMC13235382

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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 Socratic graph.