Proteomics analysis of coronary blood microparticles in patients with acute myocardial infarction

Yiping Ma1, Yujuan Yuan2, Zulipiya Aili1

  • 1Xinjiang Emergency Center, People's Hospital of Xinjiang Uygur Autonomous Region, China.

Cardiology Journal
|August 29, 2022
PubMed

Insights

Proteomics revealed differences in coronary microparticles between acute myocardial infarction (AMI) and stable coronary artery disease (SCAD) patients. These findings may help identify molecular mechanisms of acute thrombosis in AMI.

Area of Science:

  • Cardiovascular Disease Research
  • Proteomics
  • Molecular Biology

Background:

  • Acute myocardial infarction (AMI) is a primary cause of death in cardiovascular disease (CVD).
  • The molecular mechanisms driving AMI pathogenesis remain largely unknown.
  • Identifying individuals at risk for acute thrombosis is crucial.

Purpose of the Study:

  • To identify differentially expressed proteins (DEPs) in coronary blood microparticles (MPs) between AMI and stable coronary artery disease (SCAD) patients using proteomics.
  • To elucidate the biological functions and metabolic pathways associated with these DEPs.
  • To understand the molecular mechanisms underlying AMI and acute thrombosis risk.

Main Methods:

  • Proteomic analysis of coronary blood MPs from 5 AMI patients and 5 SCAD patients.
  • Identification of differentially expressed proteins (DEPs).
  • Gene Ontology (GO) and KEGG pathway enrichment analyses were performed on identified DEPs.

Main Results:

  • 198 DEPs were identified between AMI and SCAD patients: 85 upregulated and 113 downregulated.
  • GO enrichment analysis highlighted GDP binding and GTP binding in molecular function.
  • KEGG pathway analysis indicated involvement in pantothenate and coenzyme A biosynthesis, starch/sucrose metabolism, and the AMPK signaling pathway.

Conclusions:

  • The proteome of coronary MPs significantly differs between AMI and SCAD patients.
  • Enriched GO terms and KEGG pathways suggest potential molecular mechanisms for AMI pathogenesis and acute thrombosis.
  • This proteomic data may aid in identifying individuals at risk for acute thrombosis.
Abstract

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