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

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...

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Main Authors: Qian-Chen Wang, Zhen-Yu Wang, Qian Xu, Ruo-Bing Li, Guo-Gang Zhang, Rui-Zheng Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.605811/full
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author Qian-Chen Wang
Zhen-Yu Wang
Qian Xu
Ruo-Bing Li
Guo-Gang Zhang
Rui-Zheng Shi
author_facet Qian-Chen Wang
Zhen-Yu Wang
Qian Xu
Ruo-Bing Li
Guo-Gang Zhang
Rui-Zheng Shi
author_sort Qian-Chen Wang
collection DOAJ
description 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.
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spelling doaj.art-502cf073bfe64d8cb4d5907ac92d696e2022-12-21T23:35:21ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2021-03-011210.3389/fphys.2021.605811605811Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene ExpressionQian-Chen Wang0Zhen-Yu Wang1Qian Xu2Ruo-Bing Li3Guo-Gang Zhang4Rui-Zheng Shi5Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, ChinaDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, ChinaObjectivesEpicardial 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.https://www.frontiersin.org/articles/10.3389/fphys.2021.605811/fullepicardial adipose tissuecoronary artery diseasegene expression profilesbioinformatics analysismRNA
spellingShingle Qian-Chen Wang
Zhen-Yu Wang
Qian Xu
Ruo-Bing Li
Guo-Gang Zhang
Rui-Zheng Shi
Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression
Frontiers in Physiology
epicardial adipose tissue
coronary artery disease
gene expression profiles
bioinformatics analysis
mRNA
title Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression
title_full Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression
title_fullStr Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression
title_full_unstemmed Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression
title_short Exploring the Role of Epicardial Adipose Tissue in Coronary Artery Disease From the Difference of Gene Expression
title_sort exploring the role of epicardial adipose tissue in coronary artery disease from the difference of gene expression
topic epicardial adipose tissue
coronary artery disease
gene expression profiles
bioinformatics analysis
mRNA
url https://www.frontiersin.org/articles/10.3389/fphys.2021.605811/full
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