Identification of key genes and pathways affected in epicardial adipose tissue from patients with coronary artery disease by integrated bioinformatics analysis

Abstract excerpt

Background Coronary artery disease (CAD) is a common disease with high cost and mortality. Here, we studied the differentially expressed genes (DEGs) between epicardial adipose tissue (EAT) and subcutaneous adipose tissue (SAT) from patients with CAD to explore the possible pathways and mechanisms through which EAT participates in the CAD pathological process. Methods Microarray data for EAT and SAT were obtained...

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• Share to Adipokines, Inflammation, and Metabolic Diseases
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• Share to IL-33, ST2, and ILC Pathways