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Related Concept Videos

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Meta-Analysis of RNA-Seq Data Identifies Differentially Expressed Genes in Skeletal Muscle Between Obese and Normal

Yuhao Wang1, Han Li1, Yixuan Li1

  • 1Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.

International Journal of Molecular Sciences
|March 28, 2026
PubMed
Summary
This summary is machine-generated.

Obesity alters skeletal muscle gene expression, impacting translation and cell structure. A meta-analysis identified 2136 differentially expressed genes, revealing new molecular targets for obesity research.

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RNA-seqinsulin resistancemeta-analysisobesityskeletal muscle

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Area of Science:

  • Genomics
  • Metabolic Research
  • Skeletal Muscle Biology

Background:

  • Obesity is linked to skeletal muscle metabolic dysfunction, including insulin resistance and oxidative stress.
  • Transcriptomic studies in obesity have yielded inconsistent findings regarding skeletal muscle gene expression.
  • Understanding these molecular changes is crucial for developing targeted interventions.

Purpose of the Study:

  • To perform a meta-analysis of RNA sequencing studies on human vastus lateralis muscle in obesity.
  • To identify robust differentially expressed genes (DEGs) and dysregulated pathways in skeletal muscle of individuals with obesity.
  • To provide candidate targets for future research into obesity's impact on muscle metabolism.

Main Methods:

  • Meta-analysis of four independent RNA sequencing (RNA-seq) studies comparing individuals with obesity (BMI ≥ 30 kg/m2) and normal weight individuals.
  • Differential gene expression analysis using DESeq2, with age and sex as covariates.
  • Integration of study-level results using the direction-aware inverse normal method (weighted Stouffer) and assessment of heterogeneity using I2 statistics.

Main Results:

  • Identified 2136 differentially expressed genes (DEGs) (adjusted p < 0.05), with 1028 upregulated and 1108 downregulated.
  • 674 DEGs (31.6%) were uniquely identified through the meta-analysis, highlighting its power in detecting subtle changes.
  • Downregulated DEGs were enriched in pathways related to cytoplasmic translation and oxidative phosphorylation, while upregulated DEGs were associated with extracellular matrix organization and focal adhesion.

Conclusions:

  • This meta-analysis provides a robust set of DEGs and pathway alterations in skeletal muscle associated with obesity.
  • Key genes like PHLDA3, CNKSR2, and SFRP4 showed consistent differential expression across studies.
  • The findings offer valuable insights and potential molecular targets for understanding and treating obesity-related muscle dysfunction.