Investigation of the subscriptions and association of biologic pathways involved in recurrent acute coronary syndrome

Backgrounds: Atherosclerosis is a chronic inflammatory disease that begins with the formationof a fat layer that is an accumulation of foam cells in the intimal layer of the arteries. Lipidstorage is the first step in the pathogenesis of atherosclerosis, where chronic inflammation at thesites of the large arterial walls leads to the formation of fat layer, then leading to the formation offibroatheromas. Patients with recurrent acute coronary syndrome compared with patients withlong-term stable angina have a different atherosclerotic phenotype, including a higher incidenceof thin cap fibroathroma and a lower incidence of improved coronary plaques; Suggesting thatatherosclerotic features and plaque treatment may contribute to the progression of coronaryartery disease. The aim of this study was to evaluate potential pathways in inflammation andrecurrence of the disease in PBMCs by bioinformatics.Materials and Methods: Blood cell transcriptome of patients with recurrent acute coronarysyndrome was extracted from GSE۳۴۸۲۲ gene expression analysis with GEO۲R filtering gene byp-value <۰.۰۱. This gene set, along with ۲۰ directly interacting proteins, was analyzed forpathway enrichment in KEGG repository data and analyzed for their connections to each otherby ClueGO application.Results: Among the ۵۳ probes showing a significant increase in the expression of non-recurrentcoronary artery disease patients with recurrent coronary artery disease, ۱۹ pathways wereenriched from the KEGG repository dataset, the most important of which include FOXOsignaling, aldosterone-regulated sodium reabsorption, AGE-RAGE signaling, insulin resistance,type ۲ diabetes, and lipolysis.Conclusion: These pathways share common sites including INSR, IRS۱, PIC۳CB, and PIC۳R۲genes that can be used for therapeutics, preventive, and diagnostic purposes in the recurrence ofthis disease.

Keywords:

Recurrent acute coronary syndrome , Inflammation , Transcriptome analysis , Biological pathways