Project description: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.

2022-06-29 | GSE202625 | GEO

Ferumoxytol-Enhanced Coronary Magnetic Resonance Angiography Compared to Invasive Coronary Angiography for Detection of Epicardial Coronary Artery Disease.

Project description: Not available

| S-EPMC7873820 | biostudies-literature

Defining Coronary Artery Perforation with Ultrasound Contrast Agent.

Project description: Not available

| S-EPMC6196160 | biostudies-literature