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Identification and validation of potential hypoxia-related genes associated with coronary artery disease

Yuqing Jin1, Weiyan Ren1, Jiayi Liu1

  • 1Department of Epidemiology, School of Public Health, Hebei Medical University, Shijiazhuang, China.

Frontiers in Physiology
|August 28, 2023
PubMed

Insights

This study identifies four key hypoxia genes linked to coronary artery disease (CAD). These findings offer new insights into hypoxia

Area of Science:

  • Cardiovascular Biology
  • Molecular Medicine
  • Genomics

Background:

  • Coronary artery disease (CAD) is a major cause of death, with hypoxia playing a significant role in its development and patient outcomes.
  • The precise involvement of hypoxia in CAD pathogenesis remains incompletely understood.

Purpose of the Study:

  • To identify and validate hypoxia-related genes associated with CAD.
  • To explore the functional roles and potential therapeutic targets of these genes in CAD.

Main Methods:

  • Utilized microarray datasets (GSE113079) and hypoxia gene sets for differential analysis.
  • Applied machine learning to screen for hub genes and validated findings across multiple datasets.
  • Conducted Gene Ontology (GO) and KEGG pathway enrichment analyses, alongside immune cell infiltration and single-cell sequencing analyses.

Main Results:

  • Identified 54 differentially expressed hypoxia-related genes (DE-HRGs) and four hub genes: ADM, PPFIA4, FAM162A, and TPBG.
  • Found three upregulated hub genes (ADM, PPFIA4, TPBG) correlated with metabolic genes; all four enriched in immune-related pathways.
  • Observed significant differences in immune cell types, particularly CD8 T cells, and higher expression of ADM, FAM162A, and TPBG in endothelial cells of CAD patients.

Conclusions:

  • Four hypoxia genes (ADM, PPFIA4, FAM162A, TPBG) are identified as potential biomarkers and therapeutic targets for CAD.
  • The study highlights the intricate relationship between hypoxia, immune responses, and metabolic alterations in CAD.
  • Findings contribute to understanding the hypoxia landscape in CAD and suggest avenues for future research and treatment development.

Keywords:
coronary artery diseasehypoxiaimmune cell infiltrationmetabolismsingle-cell sequencing

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