Project description:This SuperSeries is composed of the following subset Series: GSE20680: Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the Cathgen Registry GSE20681: Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease from the PREDICT Trial Refer to individual Series
Project description:Expression profiling of whole blood cells isolated from patients piror to undergoing cardiac catheterization. PREDICT is a prospective, multi-center coronary catheter-lab trial being run in the US for the purpose of identifying biomarkers associated with coronary disease. A summary of the trial can be found at http://clinicaltrials.gov (identifier # NCT00500617).
Project description:Expression profiling of whole blood cells isolated from patients piror to undergoing cardiac catheterization. PREDICT is a prospective, multi-center coronary catheter-lab trial being run in the US for the purpose of identifying biomarkers associated with coronary disease. A summary of the trial can be found at http://clinicaltrials.gov (identifier # NCT00500617). 2 condition, paired experiment: Cases (1) are patients with ≥50% stenosis in >= 1 major vessel by quantitative coronary angiography (QCA), Controls (0) have luminal stenosis of < 50% by QCA. Samples were paired based on case/control status, age, and gender.
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
Project description:Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease (Homo sapiens)
Project description:The human LncRNA microarray analysis of the 6 monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease 3 Coronary Artery Disease patients and 3 non-Coronary Artery Disease donors
Project description:Global gene expression profile of whole blood in patients with coronary artery disease (CAD) showed significant upregulation of 343 genes and down regulation of 151 genes as compared to controls (p<0.05). There was predominant differential regulation of inflammatory and immune response genes as well as early growth response genes in our dataset. Of the ten candidate genes selected for validation by real time PCR in an independent cohort, CXCL1, EGR3, IL8, PTGS2 and CD69 genes were up regulated and IFNG and FASLG down regulated in cases relative to controls. We selected 13 patients with angiographically confirmed coronary artery disease (CAD) between ages 40 - 55 years and 11 population-based asymptomatic controls with normal ECG and matched for age, gendre and common risk factors such as diabetes and hypertension to that of the cases. Global gene expression profiling was performed on the Agilent microarray platform.
Project description:Coronary artery disease (CAD) is the leading cause of mortality worldwide. We aimed to compare expression of miRNA in the affected artery of acute myocardial infarction (ST-elevation myocardial infarction) male patients versus healthy individuals (control). Blood samples were collected during coronary catheterization from proximal culprit coronary arteries aimed for the interventions or from a random artery in control samples. RNA isolated from serum was used for miRNA high throughput sequencing.
