Identification of the molecular subgroups in coronary artery disease by gene expression profiles

2019 ◽  
Vol 234 (9) ◽  
pp. 16540-16548 ◽  
Author(s):  
Xiao‐Yan Peng ◽  
Yong Wang ◽  
Haibo Hu ◽  
Xian‐Jin Zhang ◽  
Qi Li
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Molecular Subgroups ◽  
Artery Disease

scholarly journals Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression

2021 ◽  
Vol 12 ◽  
Author(s):  
Qian-Chen Wang ◽  
Zhen-Yu Wang ◽  
Qian Xu ◽  
Ruo-Bing Li ◽  
Guo-Gang Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Adipose Tissue ◽  
Coronary Artery ◽  
Epicardial Adipose Tissue ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Enrichment Analysis ◽  
Artery Disease

ObjectivesEpicardial adipose tissue (EAT) is closely adjacent to the coronary arteries and myocardium, its role as an endocrine organ to affect the pathophysiological processes of the coronary arteries and myocardium has been increasingly recognized. However, the specific gene expression profiles of EAT in coronary artery disease (CAD) has not been well characterized. Our aim was to investigate the role of EAT in CAD at the gene level.MethodsHere, we compared the histological and gene expression difference of EAT between CAD and non-CAD. We investigated the gene expression profiles in the EAT of patients with CAD through the high-throughput RNA sequencing. We performed bioinformatics analysis such as functional enrichment analysis and protein-protein interaction network construction to obtain and verify the hub differentially expressed genes (DEGs) in the EAT of CAD.ResultsOur results showed that the size of epicardial adipocytes in the CAD group was larger than in the control group. Our findings on the EAT gene expression profiles of CAD showed a total of 747 DEGs (fold change >2, p value <0.05). The enrichment analysis of DEGs showed that more pro-inflammatory and immunological genes and pathways were involved in CAD. Ten hub DEGs (GNG3, MCHR1, BDKRB1, MCHR2, CXCL8, CXCR5, CCR8, CCL4L1, TAS2R10, and TAS2R41) were identified.ConclusionEpicardial adipose tissue in CAD shows unique gene expression profiles and may act as key regulators in the CAD pathological process.

scholarly journals IL-23 Gene Expression in PBMCs of Patients with Coronary Artery Disease

2012 ◽  
Vol 33 (6) ◽  
pp. 289-293 ◽  
Author(s):  
Maryam Khojasteh-Fard ◽  
Milad Abolhalaj ◽  
Parvin Amiri ◽  
Majid Zaki ◽  
Zahra Taheri ◽  
...  
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiles ◽  
Peripheral Blood Lymphocytes ◽  
Regulatory Molecule ◽  
Th17 Cytokines ◽  
Artery Disease ◽  
Tgf Β1

Objective: Both adaptive and innate immune systems are involved in coronary artery disease (CAD). The aim of this study was to evaluate TH17 cytokines expression profiles in un-stimulated peripheral blood lymphocytes (PBMCs) of patients with coronary artery disease. Methods: Expression profiles of IL-17, IL-23, and TGF-β1 were determined in individuals with and without CAD using Real-time PCR. Results: A significant decrease in IL-23 gene expression in un-stimulated PBMCs of patients with CAD compared to those without CAD was found (p=0.003, OR=0.045, 95% CI: 0.006–0.355). Conclusion: Our data reinforce the potential role of the IL-23 as a critical regulatory molecule that bridges the innate and adaptive arms of the immune system in the complex mechanisms associated with the development of atherosclerosis.

Genetic and Epigenetic Factors of E3/E3 Genotypes of APO-E Gene as a Strong Predictor for the Diagnosis of Coronary Artery Disease Patients of South India

2020 ◽  
Vol 17 (2) ◽  
pp. 147-153
Author(s):  
Javeed Ahmad Tantray ◽  
Karnati Pratap Reddy ◽  
Kaiser Jamil ◽  
Waseem Gul Lone ◽  
Shiva Kumar Yerra
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Lipid Metabolism ◽  
Coronary Artery ◽  
Apolipoprotein E ◽  
Expression Profiles ◽  
Methylation Status ◽  
South Indian Population ◽  
Apo E ◽  
Artery Disease

Background: The role of Apolipoprotein-E (APO-E) in lipid metabolism and cholesterol transport is a key component of lipid metabolism which plays a role in diseases like hypercholesterolemia, diabetes, and cardiovascular disease. The aim of this study was to determine the genotypes, allelic frequencies, gene expression and methylation related to apolipoprotein E polymorphism in Coronary Artery Disease (CAD) patients and compare with non-CAD healthy subjects of South Indian population. Methods: The APO-E alleles and genotypes were determined by PCR-RFLP. Gene expression profiles for E3/E3 genotypes were determined using RT-PCR and methylation status was determined using Methyl Specific PCR assay in one hundred patients and an equal number of controls. Results: Four APO-E genotypes (E4/E4, E3/E3, E3/E4, and E2/E3) were identified with different allele frequency. Among these, E3/E3 genotype and E3 allele were found to be significantly higher in cases than controls. The present study showed that the mRNA expression of APO-E was up-regulated in CAD patients with E3/E3 genotype in comparison with controls. Methylation status indicated a significant association of E3/E3 genotypes with the disease. Conclusion: Different populations studied worldwide showed inherent variable frequencies of the APO-E alleles and genotypes, with the most frequent allele being E3. In this study, the APO-E genotypes E2/E3/E4 showed variable response to CAD, further, there was a significant association of E3/E3 genotypes to CAD risk; this genotype can be suggested for the diagnosis of CAD.

scholarly journals Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Peng-Fei Zheng ◽  
Lu-Zhu Chen ◽  
Yao-Zong Guan ◽  
Peng Liu
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Network Analysis ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Underlying Mechanism ◽  
Data Sets ◽  
Hub Genes ◽  
Artery Disease

AbstractThis investigation seeks to dissect coronary artery disease molecular target candidates along with its underlying molecular mechanisms. Data on patients with CAD across three separate array data sets, GSE66360, GSE19339 and GSE97320 were extracted. The gene expression profiles were obtained by normalizing and removing the differences between the three data sets, and important modules linked to coronary heart disease were identified using weighted gene co-expression network analysis (WGCNA). Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and genomes (KEGG) pathway enrichment analyses were applied in order to identify statistically significant genetic modules with the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool (version 6.8; http://david.abcc.ncifcrf.gov). The online STRING tool was used to construct a protein–protein interaction (PPI) network, followed by the use of Molecular Complex Detection (MCODE) plug-ins in Cytoscape software to identify hub genes. Two significant modules (green-yellow and magenta) were identified in the CAD samples. Genes in the magenta module were noted to be involved in inflammatory and immune-related pathways, based on GO and KEGG enrichment analyses. After the MCODE analysis, two different MCODE complexes were identified in the magenta module, and four hub genes (ITGAM, degree = 39; CAMP, degree = 37; TYROBP, degree = 28; ICAM1, degree = 18) were uncovered to be critical players in mediating CAD. Independent verification data as well as our RT-qPCR results were highly consistent with the above finding. ITGAM, CAMP, TYROBP and ICAM1 are potential targets in CAD. The underlying mechanism may be related to the transendothelial migration of leukocytes and the immune response.

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