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Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease

Akram Gholipour1, Farshad Shakerian2,3, Ali Zahedmehr3

  • 1Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Iranian Journal of Public Health
|November 21, 2022
PubMed

Insights

Researchers identified potential biomarkers for coronary heart disease (CHD) by analyzing blood exosome RNA expression. ACSBG1 and DEFA4 show promise for early CHD detection, pending further validation.

Area of Science:

  • Biochemistry
  • Genomics
  • Molecular Biology

Background:

  • Coronary heart disease (CHD) is a leading global cause of mortality.
  • CHD involves the narrowing or blockage of coronary arteries supplying the heart.
  • Identifying reliable biomarkers is crucial for early diagnosis and management of CHD.

Purpose of the Study:

  • To identify novel RNA biomarkers for coronary artery disease (CAD).
  • To compare the expression profiles of blood exosomes from normal and CHD individuals.
  • To discover potential molecular indicators for early CHD detection.

Main Methods:

  • Downloaded and analyzed RNA sequencing data from 6 CHD and 6 normal blood exosome samples.
  • Identified differentially expressed RNAs using adjusted P-value < 0.01 and log2FoldChange ≥ 1.
  • Performed Gene Ontology (GO) and pathway analysis using the PANTHER database.

Main Results:

  • Identified 119 differentially expressed genes between CHD and normal samples.
  • Candidate biomarkers include the downregulated gene ACSBG1 and the upregulated gene DEFA4.
  • Enriched pathways involve metabolic processes, inflammation, immune response, and stimulus response, all linked to cardiovascular disease.

Conclusions:

  • Proposed ACSBG1 and DEFA4 as potential specific biomarkers for CHD.
  • Highlighted the role of identified pathways in cardiovascular disease pathogenesis.
  • Emphasized the need for experimental validation to confirm biomarker suitability for early CHD detection.
Abstract

Keywords:
Blood exosomesCoronary heart diseaseDifferentially expressed genes

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