Discovery of circadian rhythm-related hub genes in acute myocardial infarction: A two-sample Mendelian randomization

Song Peng1,2, Yan Leng3, Man-Hua Chen1,2

  • 1Department of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Medicine
|January 21, 2026
PubMed

Insights

Circadian rhythm-related genes impact acute myocardial infarction (AMI) risk. Four risk genes (NR1H3, SREBF1, SIRT1, HIF1A) and one protective gene (NCOA1) were identified, offering new diagnostic and therapeutic insights for AMI.

Area of Science:

  • Genetics
  • Cardiovascular Disease Research
  • Chronobiology

Background:

  • Circadian rhythms influence physiological processes relevant to cardiovascular disease.
  • The specific impact of circadian rhythm-related genes (CRRGs) on acute myocardial infarction (AMI) remains largely unknown.

Purpose of the Study:

  • To investigate the association between CRRGs and AMI using genetic data.
  • To identify specific CRRGs that act as risk or protective factors for AMI.

Main Methods:

  • Utilized two-sample Mendelian randomization (TSMR) analysis on genome-wide association study (GWAS) data for AMI and expression quantitative trait loci (eQTL) data for CRRGs.
  • Employed inverse variance weighted (IVW) algorithms to identify hub genes and conducted sensitivity analyses for validation.
  • Predicted gene expression in immune cells and tissues using Human Protein Atlas and Genotype-Tissue Expression databases.

Main Results:

  • Four CRRGs were identified as risk factors for AMI: NR1H3, SREBF1, SIRT1, and HIF1A.
  • One CRRG, NCOA1, was identified as a protective factor for AMI.
  • HIF1A, NCOA1, and SREBF1 showed high expression in neutrophils; HIF1A and SREBF1 were also highly expressed in cardiac and arterial tissues.
  • NFKB1 was predicted to regulate most identified hub genes, except NCOA1.

Conclusions:

  • Identified five key CRRGs (NR1H3, SREBF1, SIRT1, HIF1A, NCOA1) associated with AMI risk and protection.
  • These findings provide novel genetic insights into the mechanisms underlying AMI.
  • The identified genes and regulatory networks offer potential targets for future diagnostic and therapeutic strategies for AMI.

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