Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease

ABSTRACT: 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

ORGANISM(S): Homo sapiens

SUBMITTER: Peter Grass

PROVIDER: E-GEOD-12288 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease.

Sinnaeve Peter R PR Donahue Mark P MP Grass Peter P Seo David D Vonderscher Jacky J Chibout Salah-Dine SD Kraus William E WE Sketch Michael M Nelson Charlotte C Ginsburg Geoffrey S GS Goldschmidt-Clermont Pascal J PJ Granger Christopher B CB

PloS one 20090914 9

Systemic and local inflammation plays a prominent role in the pathogenesis of atherosclerotic coronary artery disease, but the relationship of whole blood gene expression changes with coronary disease remains unclear. We have investigated whether gene expression patterns in peripheral blood correlate with the severity of coronary disease and whether these patterns correlate with the extent of atherosclerosis in the vascular wall. Patients were selected according to their coronary artery disease ...[more]

PMID: 19750006

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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.

Project description:Rationale: Epicardial adipose tissue (EAT) has been independently associated with non-calcified, high-risk coronary plaques in low-to intermediate risk subjects. Recently, a bidirectional communication was shown between EAT and diseased coronary arteries. In high-risk patients it is unknown whether quantitative measures of EAT can capture, and which molecular players are involved in this mutual interplay. Objective: In a high-risk population, we aimed to determine how the volume of EAT is linked to coronary artery disease (CAD) and to identify potential EAT-deregulated pathways in CAD patients specifically related to coronary artery calcification (CAC). Methods and Results: In a prospective cohort of 574 degenerative severe aortic stenosis patients referred to cardiac surgery, we quantified fat depots by computed tomography (CT) and performed a comparative quantitative proteomics of thoracic fat, including EAT, mediastinal (MAT) and subcutaneous (SAT) adipose tissues. We did not find an independent association of EAT volume with the severity, distribution and complexity of coronary stenosis in invasive coronary angiography. Although, EAT volume was correlated with high CAC, its cardiovascular risk factors-adjusted association was not significant. Taking as reference non-CAD matched-patients and compared to MAT and SAT, EAT proteomic signature of CAD was characterized by up-regulation of pro-calcifying annexins (Annexin A2, ANXA2), fatty acid binding transporters (FABP4) and inflammatory signaling proteins, and by down-regulation of fetuin-A and redox state regulatory enzymes. In EAT, ANXA2 regulation was positively correlated with CAC. EAT gene expression studies confirmed overexpression of ANXA2 and FABP4 in CAD, but no expression of FETUA was detected. Compared with non-CAD, fetuin-A circulating levels were higher in CAD, whereas no fetuin-A pericardial fluid differences were found. Conclusions: In this high-risk cohort, EAT presented an imbalance of pro-calcifying, pro-inflammatory and lipid transporters mediators. These local EAT-mediated regulatory mechanisms were not reflected by the CT volume of EAT alone.

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Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease

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Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease.

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