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PROVIDER: PRJNA103779 | ENA |
REPOSITORIES: ENA
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Project description:Monocytes and T-cells play an important role in the development of atherosclerotic coronary artery disease (CAD). Differences in transcriptional activity of these cells might reflect the individual's atherosclerotic burden. Transcriptome analysis of circulating mononuclear cells from carefully matched atherosclerotic and control patients will potentially provide insights into the pathophysiology of atherosclerosis and supply biomarkers for diagnostic purposes. From patients undergoing coronary angiography because of anginal symptoms, we carefully matched 18 patients with severe triple-vessel CAD to 13 control patients without signs of CAD on angiography. All patients were on statin and aspirin treatment. RNA from circulating CD4+ T-cells, CD14+ monocytes, lipopolysaccharide-stimulated monocytes, macrophages and CD34+ progenitor cells was subjected to genome-wide expression analysis. Only CD14+ monocytes demonstrated that a small number of genes involved in activation was overexpressed in control patients, which was verified by real-time polymerase-chain reaction. In this pilot study, cautious matching of patients with severe atherosclerotic CAD with control patients without angiographic signs of coronary atherosclerosis did not reveal differences in transcriptional activity in four out of five different mononuclear cell types. In resting monocytes from patients without overt CAD some inflammatory genes were overexpressed as compared to patients with severe CAD. Large inter-individual variability prevented the use of single differentially expressed genes as biomarkers. Keywords: disease-state analysis In total 153 arrays were analyzed with 6 technical replicates (147 biological samples). CD34+ stem cells, CD4+ T-cells, resting CD14+ monocytes, stimulated monocytes and macrophages were analyzed, all from patient with severe coronary atherosclerosis or controls that had no coronary atherosclerosis as determined angiographically, and which were carefully matched for age and gender.
2008-12-01 | E-GEOD-9820 | biostudies-arrayexpress
Project description:Monocytes and T-cells play an important role in the development of atherosclerotic coronary artery disease (CAD). Differences in transcriptional activity of these cells might reflect the individual's atherosclerotic burden. Transcriptome analysis of circulating mononuclear cells from carefully matched atherosclerotic and control patients will potentially provide insights into the pathophysiology of atherosclerosis and supply biomarkers for diagnostic purposes. From patients undergoing coronary angiography because of anginal symptoms, we carefully matched 18 patients with severe triple-vessel CAD to 13 control patients without signs of CAD on angiography. All patients were on statin and aspirin treatment. RNA from circulating CD4+ T-cells, CD14+ monocytes, lipopolysaccharide-stimulated monocytes, macrophages and CD34+ progenitor cells was subjected to genome-wide expression analysis. Only CD14+ monocytes demonstrated that a small number of genes involved in activation was overexpressed in control patients, which was verified by real-time polymerase-chain reaction. In this pilot study, cautious matching of patients with severe atherosclerotic CAD with control patients without angiographic signs of coronary atherosclerosis did not reveal differences in transcriptional activity in four out of five different mononuclear cell types. In resting monocytes from patients without overt CAD some inflammatory genes were overexpressed as compared to patients with severe CAD. Large inter-individual variability prevented the use of single differentially expressed genes as biomarkers. Keywords: disease-state analysis
2008-12-01 | GSE9820 | GEO
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
2011-03-01 | E-GEOD-20686 | biostudies-arrayexpress
Project description:Innate immune cells importantly contribute to the pathphysiology of atherosclerotic cardiovascular disease CVD. Previous studies show that isolated innate immune cells from patients with atherosclerotic CVD have an activated phenotype. To understand the origin of this immune cell activation, we performed bone marrow aspiration in 10 male patients with severe coronary artery disease (based on coronary CT angiography) and 10 control subjects in whom coronary atherosclerosis was excluded. After flow sorting of HSCs, MPPs, and GMPs, we performed RNAseq.
2020-11-08 | E-MTAB-9399 | biostudies-arrayexpress
Project description:Gene expression profile in circulating leukocytes identifies patients with coronary artery disease Peter Sinnaeve, Mark Donahue, Peter Grass, Jacky Vonderscher, David Seo, Pascal Goldschmidt, Christopher Granger Department of Medicine, Duke University, Durham, NC, USA, Novartis Institute for Biomedical Research, Cambridge, Boston, MA, USA Introduction Systemic and local inflammation plays a prominent pathogenetic role in atherosclerotic coronary artery disease (CAD), but the relationship of phenotypic changes in circulating leukocytes and extent of CAD remains unclear. We have investigated whether gene expression patterns in circulating leukocytes are associated with presence and extent of CAD. Methods Patients undergoing coronary angiography were selected according to their Duke CAD index (CADi), a validated angiographical measure of the extent of coronary atherosclerosis that correlates with outcome. RNA was extracted from 110 patients with CAD (CADi>23) and from 112 partially matched controls without CAD (CADi=0). Gene expression was assessed using Affymetrix U133A chips. Genes correlating with CAD were identified using Spearman’s rank correlation, and predictive gene expression patterns were identified using a partial least squares (PLS) regression analysis. Results 160 individual genes were found to significantly correlate with CADi (rho>0.2, P<0.0027), although changes in individual gene expression were relatively small (1.2 to 1.5 fold). Using these 160 genes, the PLS multivariate regression resulted in a highly predictive model (r2=0.764, P<0.001). Cross-validation showed that most of the predictive model was carried by only 8 genes (r2=0.752) (table 1). Conclusion Simultaneous expression pattern of 8 genes appears to be highly predictive for CAD. Peripheral leukocyte gene expression pattern could be a novel non-invasive biomarker for CAD and lead to new pathophysiologic insights. parallel group design
2008-10-31 | E-GEOD-12288 | biostudies-arrayexpress
Project description:To understand the mechanism of coronary artery aneurysmal dilatation, we identified and compared the expression of circulating miRNAs in three groups of patients. Group 1 enrolled patients with aneurysmal dilatation of coronary arteries (n = 20), Group 2 included patients with angiographically confirmed coronary artery disease (CAD), whereas Group 3 included 20 patients with normal coronary arteries. The miRNAs were isolated from plasma and profiled using PCR arrays miRCURY LNA Serum/Plasma Focus PCR Panels. We demonstrated that the plasma miRNAs levels were significantly different in Group 1 in collation with Group 2 and Group 3 (fold change > 2 and p < 0.05). The comparison of Group 1 with Group 3 identified twenty-one significantly up-regulated and two down-regulated miRNAs in patients with aneurysmal coronary artery dilatation compared to the control groups. Moreover, we identified six up-regulated and two down-regulated miRNAs in patients with CAD compared to the controls. The third comparison revealed four up-regulated and three down-regulated miRNAs in Group 1, when compared to CAD patients. In conclusion, this study demonstrates the specific signature of plasma miRNA, namely up-regulated and down-regulated, in patients with abnormal dilatation of coronary arteries and the comparison between the groups consisting of atherosclerotic and control patients.
2022-03-18 | GSE198885 | GEO
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
2015-06-05 | E-GEOD-69587 | biostudies-arrayexpress
Project description:Despite the significant reduction in the overall burden of cardiovascular disease (CVD) over the past decade, CVD still accounts for a third of all deaths in the United States and worldwide each year. While efforts to identify and reduce risk factors for atherosclerotic heart disease (i.e. hypertension, dyslipidemia, diabetes mellitus, cigarette smoking, inactivity) remain the focus of primary prevention, the inability to accurately and temporally predict acute myocardial infarction (AMI) impairs our ability to further improve patient outcomes. Our diagnostic evaluation for the presence of coronary artery disease relies on functional testing, which detects flow-limiting coronary stenosis, but we have known for decades that most lesions underlying AMI are only of mild to moderate luminal narrowings, not obstructing coronary blood flow. Accordingly, there is a dire need of improved diagnostics for underlying arterial plaque dynamics, fissure and rupture. Here we describe the designation of a specific gene expression pattern acting as a molecular signature for acute myocardial infarction present in whole blood of patients that was determined using microarray analysis of enriched circulating endothelial cells (CEC). We isolated circulating endothelial cells from patients experience acute myocardial infartion and healthy cohorts, and measured gene expression using the HG-133U_PLUS_2 microarray Circulating endothelial cells were isolated from patients experiencing acute myocardial infarction (n=49) and from healthy cohorts (n=50). The patients were separated into a discovery cohort (n=43) for biomarker discovery and model training; and into a validation cohort (n=56) for biomarker validation and model testing.
2015-02-28 | E-GEOD-66360 | biostudies-arrayexpress
Project description:LncRNA expression profiling for 6 human monocytes samples from Coronary Artery Disease patients and non Coronary Artery Disease patients
| PRJNA285909 | ENA
Project description:LncRNA expression profiling for 6 human plasma samples from Coronary Artery Disease patients and non Coronary Artery Disease patients
| PRJNA282944 | ENA