Whole Blood Cell Gene Expression Profiling in Patients with Coronary Artery Disease (Homo sapiens)
ABSTRACT: 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). 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:Expression profiling of whole blood cells isolated from patients piror to undergoing cardiac catheterization. The Cathgen Registry is a single-center coronary catheter-lab cohort being run at Duke University for the purpose of identifying biomarkers associated with coronary disease. 3 condition experiment: Cases (2) are patients with ≥70% stenosis in >1 major vessel or ≥50% stenosis in >2 arteries; intermediates (1) are patients with luminal stenosis >25% but less than 50%; controls (0) have luminal stenosis of <=25%
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:Peripheral blood RNA-Seq from human coronary artery calcification cases and controls; Coronary artery calcification (CAC) is a heritable and definitive morphologic marker of atherosclerosis that strongly predicts risk for future cardiovascular events. To search for genes involved in CAC, we used an integrative transcriptomic, genomic, and protein expression strategy using next-generation DNA sequencing in the discovery phase with follow-up studies using traditional molecular biology and histopathology techniques. Eight cases and eight controls (matched for gender, age and ancestry); RNA sequencing of peripheral blood from a discovery set of eight CAC cases and eight matched controls was used to identify dysregulated genes, which were validated using the NanoString® and Affymetrix GeneChip® Human Exon ST Array platforms. The median CAC scores for cases in the screening and validation sets were 1531.5 and 668.5, respectively, while all controls had a score of zero.
Project description:Gene expression in peripheral blood is shown sufficient to differentiate patients with metabolic disorders from control. The signatures of metabolic syndrome, coronary artery disease and type 2 diabetes also have significant overlap. Microarrays were performed on 35 subjects in the following groups: control (n=9), rheumatoid arthritis (n=6), metabolic syndrome (n= 6), coronary artery disease (n=6) and type 2 diabetes (n=8). Intensity values for each array were normalized to a sum of 10,000.
Project description:The identification of classic risk factors for coronary artery disease unveiled pathophysiologic mechanisms of atherosclerosis. Among them, inflammation as a systemic process measurable in peripheral blood plays a central role in plaque progression. However, other mechanisms of plaque progression remain to be fully understood. Therefore, this study sought to further investigate systemic correlates of plaque progression by global gene expression in peripheral blood. Microrarray gene expression analysis revealed 93 genes differentially expressed between the groups, of which 23 genes have no known function. Among the remaining 70 genes, 10 (14%) were identified to be associated with progenitor and pluripotent cells whereas only 3 genes (4%) had been associated with atherosclerosis. A risk prediction gene signature was developed by a multivariable statistical approach model integrating comprehensive laboratory and clinical patient data. This signature identified plaque progression with 81% sensitivity and 80% specificity (AUC: 0.86) for new patients, as estimated by resampling techniques. Array results were validated by qPCR for the genes ankyrin-2 (ANK2) and glutathione S-transferase theta 1 (GSTT1). In conclusion, patients with pogressive coronary artery disease despite good risk factor control exhibit particular gene expression patterns in peripheral blood. Understanding the functional implications of the observed changes might help to design new approaches to control atherosclerosis progression. From a large database of 45,727 coronary angiograms, peripheral blood was drawn from two patient groups with good risk factor control, but different clinical evolution: First, 16 patients with significant lesion progression leading to repeated coronary interventions and second, 16 patients with angiographically documented stable courses.
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:Expression profiling of whole blood cells isolated from patients piror to undergoing cardiac catheterization. The Cathgen Registry is a single-center coronary catheter-lab cohort being run at Duke University for the purpose of identifying biomarkers associated with coronary disease. Overall design: 3 condition experiment: Cases (2) are patients with ≥70% stenosis in >1 major vessel or ≥50% stenosis in >2 arteries; intermediates (1) are patients with luminal stenosis >25% but less than 50%; controls (0) have luminal stenosis of <=25%