Bioinformatics analysis of common differential genes of coronary artery disease and carotid atherosclerosis

Coronary artery disease(CAD) is one of the most fatal diseases in the world, which seriously threatens human health. Studies have demonstrated that the appearance of carotid plaque is related to the risk of CAD, but the common differential genes and mechanism between these two conditions are still unclear. Our study identified the common differential genes between carotid atherosclerosis tissues and blood samples of CAD patients, aiming to search promising biomarkers in CAD predicting and diagnosing. We obtain datasets of GSE100927 and GSE56885 from GENE EXPRESSION OMNIBUS (GEO) database. Through scanning their mutual differentially expressed genes(DEGs), we performed Gene Ontology (GO), Kyoto Encyclopedia of Genes, Genomes (KEGG) analysis, and PPI analysis to get hub genes between these two conditions. We found that both CAD blood samples and carotid atherosclerotic plaque tissues were related to immune response, inflammatory response and cell chemotaxis. Followed by PPI network construction, MCODE analysis found that 1 subnetwork, including CCR5, CCR2, CXCR4 and C5AR1, was extracted, which concerned as hub genes of the two datasets. Indicating that CCR5, CCR2, CXCR4 and C5AR1maybe potential candidate biomarkers for CAD prediction in patients with carotid plaques.