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Identification of foam cell biomarkers by microarray analysis.

Zikai Song1, Shijie Lv2, Haidi Wu1

  • 1Department of Cardiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.

BMC Cardiovascular Disorders
|May 8, 2020
PubMed
Summary
This summary is machine-generated.

Lipid metabolism disorders drive the transformation of macrophages into foam cells, a key process in atherosclerosis. Identifying these key genes offers targets for early coronary artery disease screening and prevention.

Keywords:
Differential expression geneFoam cellGO enrichmentKEGG pathway analysisMacrophagesProtein interaction network

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Area of Science:

  • Cardiovascular Biology
  • Molecular Genetics
  • Atherosclerosis Research

Background:

  • Atherosclerosis involves lipid infiltration and inflammatory responses.
  • Macrophage differentiation and foam cell formation are critical steps in atherosclerosis development.

Purpose of the Study:

  • To analyze differential gene expression between foam cells and macrophages.
  • To identify key molecular links in foam cell generation.
  • To explore atherosclerosis pathogenesis and find targets for coronary artery disease (CAD) prevention.

Main Methods:

  • Downloaded gene expression profiles (GSE9874) from Gene Expression Omnibus.
  • Analyzed differentially expressed genes (DEGs) using Bayes package.
  • Performed Gene Ontology (GO) enrichment and KEGG pathway analysis.
  • Constructed protein-protein interaction (PPI) network using STRING and Cytoscape.

Main Results:

  • Identified 167 DEGs between macrophages and foam cells (102 upregulated, 65 downregulated).
  • DEGs were enriched in sterol and cholesterol metabolic processes.
  • Discovered 10 key genes in the PPI network, including HMGCR, SREBF2, LDLR, and ABCA1.

Conclusions:

  • Genes and pathways related to lipid metabolism are crucial for macrophage-to-foam cell transformation.
  • Disordered lipid metabolism is central to foam cell formation and plays a major role in CAD.