GSE202625
Whole-blood transcriptional profiles early predict the presence of coronary atherosclerosis and high-risk plaque features at coronary CT angiography
This study aims at identifying gene expression patterns in the whole blood that could differentiate patients with severe coronary atherosclerosis from subjects without detectable coronary artery disease (CAD), and assess associations of gene expression patterns with plaque features at coronary CT angiography (CCTA). Patients undergoing CCTA for suspected CAD, with no cardiovascular history, were enrolled. Coronary stenosis was quantified and CCTA plaque features were assessed. The whole-blood transcriptome was analyzed by RNA-Sequencing. We detected highly significant differences in the circulating transcriptome between patients with high-degree coronary stenosis (> 70%) at CCTA and subjects with the absence of coronary plaques. Noteworthy, regression analysis revealed expression signatures associated with Leaman score, segment involved score, segment-stenosis score, and plaque volume with density <150 HU at CCTA. This pilot study shows that patients with significant coronary stenosis are characterized by whole blood transcriptome profiles that may discriminate them from patients without CAD. Furthermore, our results suggest that whole blood transcriptional profiles may predict plaque characteristics. Overall design: Whole blood poly(A)+ RNA profiles of 27 CAD and 25 noCAD patients were generated through RNA-Seq using Ion S5 system.