Gene expression studies of coronary artery disease patients in north indian population

Abstract

newline Coronary artery disease (CAD) is well known to the complexity of underlying newlinepathophysiology owing to its multifactorial, inflammatory and chronic nature. newlineAtherosclerotic CAD in different severity varies to involve different biological newlineprocesses and pathways. The candidate nature of genes and subsequent proteins may newlinechange with differing severity of CAD. Global genes expression profiling is a powerful newlinetool, which enable us to understand the pathophysiology and hence subsequent newlinemanagement of disease. The study of differentially expressed genes (DEGs) for CAD newlineand different severity of atherosclerotic lesions through functional annotation and newlineprotein protein interaction (PPI) network analysis may explore the involved differing newlineunderlying molecular and cellular mechanisms. The study was aimed to identify newlineputative candidate genes and involved biological processes and pathways for CAD and newlineits different severity. We also aimed to identify the change in expression patterns of newlineDEGs in atherosclerotic lesion of single vessels disease (SVD) and triple vessels newlinedisease (TVD) patients and compare the DEG intercepted in other global genes newlineexpression profiling from various other population. newlineGlobal genes expression profiling was performed for stable CAD patients; six newlineeach in single vessel disease (SVD) and triple vessels disease (TVD) as compared with newlineage-matched six controls using Affymetrix microarray platform (Gene Chip Human newlineGenome U133 A2). This gene chip array enables the expression level analysis of newlinegt18,400 transcripts and variants of 14,500 well-characterized human genes. The newlineseverity of atherosclerotic lesion was characterized by number of disease vessels and newlineweight of atherosclerotic lesion was defined by modified Gensini score (20-30 for newlineSVD and 50-60 for TVD). The DEGs were obtained on analysis using transcriptome newlineanalysis console (TAC) software provided by affymetrix. The putative candidate genes newlinewere identify using functional annotation and protein protein interaction (PPI) network newlineanalysis (hub genes)