Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease

Background. Coronary artery disease (CAD) is one of the most common causes of sudden death with high morbidity in recent years. This paper is aimed at exploring the early peripheral blood biomarkers of sudden death and providing a new perspective for clinical diagnosis and forensic pathology identif...

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Main Authors: Jiabei He, Xinglong Li, Yao Zhang, Qingqing Zhang, Lianhong Li
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2021/6658115
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spelling doaj-23105caacde04124be1fff17d6f2a0882021-02-15T12:52:43ZengHindawi LimitedBioMed Research International2314-61332314-61412021-01-01202110.1155/2021/66581156658115Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery DiseaseJiabei He0Xinglong Li1Yao Zhang2Qingqing Zhang3Lianhong Li4Department of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, ChinaDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, ChinaDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, ChinaDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, ChinaDepartment of Pathology and Forensic Medicine, Dalian Medical University, Dalian 116044, ChinaBackground. Coronary artery disease (CAD) is one of the most common causes of sudden death with high morbidity in recent years. This paper is aimed at exploring the early peripheral blood biomarkers of sudden death and providing a new perspective for clinical diagnosis and forensic pathology identification by integrated bioinformatics analysis. Methods. Two microarray expression profiling datasets (GSE113079 and GSE31568) were downloaded from the Gene Expression Omnibus (GEO) database, and we identified differentially expressed lncRNAs, miRNAs, and mRNAs in CAD. Gene Ontology (GO) and KEGG pathway analyses of DEmRNAs were executed. A protein-protein interaction (PPI) network was constructed, and hub genes were identified. Finally, we constructed a competitive endogenous RNA (ceRNA) regulation network among lncRNAs, miRNAs, and mRNAs. Also, the 5 miRNAs of the ceRNA network were verified by RT-PCR. Results. In total, 86 DElncRNAs, 148 DEmiRNAs, and 294 DEmRNAs were dysregulated in CAD. We received 12 GO terms and 5 pathways of DEmRNAs. 31 nodes and 78 edges were revealed in the PPI network. The top 10 genes calculated by degree method were identified as hub genes. Moreover, there were a total of 26 DElncRNAs, 5 DEmiRNAs, and 13 DEmRNAs in the ceRNA regulation network. We validated the 5 miRNAs of the ceRNA network by RT-PCR, which were consistent with the results of the microarray. Conclusions. In this paper, a CAD-specific ceRNA network was successfully constructed, contributing to the understanding of the relationship among lncRNAs, miRNAs, and mRNAs. We identified potential peripheral blood biomarkers in CAD and provided novel insights into the development and progress of CAD.http://dx.doi.org/10.1155/2021/6658115
collection DOAJ
language English
format Article
sources DOAJ
author Jiabei He
Xinglong Li
Yao Zhang
Qingqing Zhang
Lianhong Li
spellingShingle Jiabei He
Xinglong Li
Yao Zhang
Qingqing Zhang
Lianhong Li
Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease
BioMed Research International
author_facet Jiabei He
Xinglong Li
Yao Zhang
Qingqing Zhang
Lianhong Li
author_sort Jiabei He
title Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease
title_short Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease
title_full Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease
title_fullStr Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease
title_full_unstemmed Comprehensive Analysis of ceRNA Regulation Network Involved in the Development of Coronary Artery Disease
title_sort comprehensive analysis of cerna regulation network involved in the development of coronary artery disease
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2021-01-01
description Background. Coronary artery disease (CAD) is one of the most common causes of sudden death with high morbidity in recent years. This paper is aimed at exploring the early peripheral blood biomarkers of sudden death and providing a new perspective for clinical diagnosis and forensic pathology identification by integrated bioinformatics analysis. Methods. Two microarray expression profiling datasets (GSE113079 and GSE31568) were downloaded from the Gene Expression Omnibus (GEO) database, and we identified differentially expressed lncRNAs, miRNAs, and mRNAs in CAD. Gene Ontology (GO) and KEGG pathway analyses of DEmRNAs were executed. A protein-protein interaction (PPI) network was constructed, and hub genes were identified. Finally, we constructed a competitive endogenous RNA (ceRNA) regulation network among lncRNAs, miRNAs, and mRNAs. Also, the 5 miRNAs of the ceRNA network were verified by RT-PCR. Results. In total, 86 DElncRNAs, 148 DEmiRNAs, and 294 DEmRNAs were dysregulated in CAD. We received 12 GO terms and 5 pathways of DEmRNAs. 31 nodes and 78 edges were revealed in the PPI network. The top 10 genes calculated by degree method were identified as hub genes. Moreover, there were a total of 26 DElncRNAs, 5 DEmiRNAs, and 13 DEmRNAs in the ceRNA regulation network. We validated the 5 miRNAs of the ceRNA network by RT-PCR, which were consistent with the results of the microarray. Conclusions. In this paper, a CAD-specific ceRNA network was successfully constructed, contributing to the understanding of the relationship among lncRNAs, miRNAs, and mRNAs. We identified potential peripheral blood biomarkers in CAD and provided novel insights into the development and progress of CAD.
url http://dx.doi.org/10.1155/2021/6658115
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