Integrated microRNA–mRNA analysis of coronary artery disease

Although patients with coronary artery disease (CAD) have a high mortality rate, the pathogenesis of CAD is still poorly understood. The purpose of this study was to explore the underlying molecular mechanisms and potential target molecules for CAD. The platelet miRNA (GSE28858) and blood mRNA (GSE4...

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Bibliographic Details
Published in:Molecular biology reports 2014-08, Vol.41 (8), p.5505-5511
Main Authors: Chen, Fei, Zhao, Xin, Peng, Juan, Bo, LinPing, Fan, Bing, Ma, Duan
Format: Article
Language:English
Subjects:
algorithms
Animal Anatomy
Animal Biochemistry
Biomedical and Life Sciences
blood
Blood Platelets - metabolism
Cardiovascular disease
Case-Control Studies
Computational Biology
coronary artery disease
Coronary Artery Disease - genetics
correlation
Down-Regulation
Gene expression
Gene Expression Profiling
gene expression regulation
Gene Regulatory Networks
Histology
Humans
Life Sciences
messenger RNA
Microarray Analysis
microarray technology
microRNA
MicroRNAs
MicroRNAs - genetics
MicroRNAs - metabolism
Molecular biology
Morphology
mortality
Pathogenesis
patients
regulator genes
RNA, Messenger - genetics
RNA, Messenger - metabolism
Up-Regulation
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Summary:Although patients with coronary artery disease (CAD) have a high mortality rate, the pathogenesis of CAD is still poorly understood. The purpose of this study was to explore the underlying molecular mechanisms and potential target molecules for CAD. The platelet miRNA (GSE28858) and blood mRNA (GSE42148) expression profiles of patients with CAD and healthy controls were downloaded from Gene Expression Omnibus. Differentially expressed miRNAs and genes (DEGs) were identified by significant analysis of microarray algorithm after data preprocessing. Furthermore, the miRNA-target gene regulatory network was constructed based on miRecords database. The spearman correlation coefficients (ρ) between miRNAs and their target genes were calculated. Six up- (miR-340, miR-545, miR-451, miR454-5p, miR-624 and miR-585) and four down-regulated (miR-199a, miR-17-3p, miR-154 and miR-339) miRNAs were screened. Total 295 target genes of miR-545, miR-451, miR-585 and miR-154 were predicted. Among these 295 target genes, 7 genes were DEGs. Further analysis showed miR-545-TFEC and miR-585-SPOCK1 were highly positively correlated (ρ = 0.808091264; ρ = 0.874680776) in CAD samples. Therefore, differentially expressed miRNAs might participate in the pathogenesis of CAD by regulating their target genes.
ISSN:0301-4851
1573-4978
DOI:10.1007/s11033-014-3426-9