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Comprehensive analysis of the ceRNA network in coronary artery disease

With the rapid aging of the population, coronary artery disease (CAD) has become one of the most fatal chronic diseases. However, the genetic mechanism of CAD is still unclear. The purpose of this study is to construct the lncRNA-miRNA-mRNA regulatory network for CAD diseases and systematically iden...

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Autores principales: Bian, Weikang, Jiang, Xiao-Xin, Wang, Zhicheng, Zhu, Yan-Rong, Zhang, Hongsong, Li, Xiaobo, Liu, Zhizhong, Xiong, Jing, Zhang, Dai-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688464/
https://www.ncbi.nlm.nih.gov/pubmed/34930980
http://dx.doi.org/10.1038/s41598-021-03688-9
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author Bian, Weikang
Jiang, Xiao-Xin
Wang, Zhicheng
Zhu, Yan-Rong
Zhang, Hongsong
Li, Xiaobo
Liu, Zhizhong
Xiong, Jing
Zhang, Dai-Min
author_facet Bian, Weikang
Jiang, Xiao-Xin
Wang, Zhicheng
Zhu, Yan-Rong
Zhang, Hongsong
Li, Xiaobo
Liu, Zhizhong
Xiong, Jing
Zhang, Dai-Min
author_sort Bian, Weikang
collection PubMed
description With the rapid aging of the population, coronary artery disease (CAD) has become one of the most fatal chronic diseases. However, the genetic mechanism of CAD is still unclear. The purpose of this study is to construct the lncRNA-miRNA-mRNA regulatory network for CAD diseases and systematically identify differentially expressed genes in patients with coronary heart disease. In this study, two lncRNA datasets (GSE69587 and GSE113079) and a microRNA dataset (GSE105449) which contained 393 and 38 CAD samples were selected. In addition, two mRNA datasets which named GSE113079 (98 CAD samples) and GSE9820 (8 CAD samples) were selected to search the differentially expressed genes (DEGs). By comparing the expression data between CAD and control samples, a total of 1111 lncRNAs, 2595 mRNAs and 22 miRNAs were identified. Based on the DEGs, a lncRNA-miRNA-mRNA ceRNA network was constructed to explore the hub nodes in CAD. In the ceRNA network, the lncRNAs KCNQ1OT1 and H19 showed high connectivity with the nine miRNAs. GO and KEGG results showed that genes in ceRNA networks were mainly involved in nitrogen compound metabolic process, PI3K-Akt signaling pathway and retrograde endocannabinoid signaling. These findings will improve the understanding of the occurrence and development mechanism of CAD.
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spelling pubmed-86884642021-12-22 Comprehensive analysis of the ceRNA network in coronary artery disease Bian, Weikang Jiang, Xiao-Xin Wang, Zhicheng Zhu, Yan-Rong Zhang, Hongsong Li, Xiaobo Liu, Zhizhong Xiong, Jing Zhang, Dai-Min Sci Rep Article With the rapid aging of the population, coronary artery disease (CAD) has become one of the most fatal chronic diseases. However, the genetic mechanism of CAD is still unclear. The purpose of this study is to construct the lncRNA-miRNA-mRNA regulatory network for CAD diseases and systematically identify differentially expressed genes in patients with coronary heart disease. In this study, two lncRNA datasets (GSE69587 and GSE113079) and a microRNA dataset (GSE105449) which contained 393 and 38 CAD samples were selected. In addition, two mRNA datasets which named GSE113079 (98 CAD samples) and GSE9820 (8 CAD samples) were selected to search the differentially expressed genes (DEGs). By comparing the expression data between CAD and control samples, a total of 1111 lncRNAs, 2595 mRNAs and 22 miRNAs were identified. Based on the DEGs, a lncRNA-miRNA-mRNA ceRNA network was constructed to explore the hub nodes in CAD. In the ceRNA network, the lncRNAs KCNQ1OT1 and H19 showed high connectivity with the nine miRNAs. GO and KEGG results showed that genes in ceRNA networks were mainly involved in nitrogen compound metabolic process, PI3K-Akt signaling pathway and retrograde endocannabinoid signaling. These findings will improve the understanding of the occurrence and development mechanism of CAD. Nature Publishing Group UK 2021-12-20 /pmc/articles/PMC8688464/ /pubmed/34930980 http://dx.doi.org/10.1038/s41598-021-03688-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bian, Weikang
Jiang, Xiao-Xin
Wang, Zhicheng
Zhu, Yan-Rong
Zhang, Hongsong
Li, Xiaobo
Liu, Zhizhong
Xiong, Jing
Zhang, Dai-Min
Comprehensive analysis of the ceRNA network in coronary artery disease
title Comprehensive analysis of the ceRNA network in coronary artery disease
title_full Comprehensive analysis of the ceRNA network in coronary artery disease
title_fullStr Comprehensive analysis of the ceRNA network in coronary artery disease
title_full_unstemmed Comprehensive analysis of the ceRNA network in coronary artery disease
title_short Comprehensive analysis of the ceRNA network in coronary artery disease
title_sort comprehensive analysis of the cerna network in coronary artery disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688464/
https://www.ncbi.nlm.nih.gov/pubmed/34930980
http://dx.doi.org/10.1038/s41598-021-03688-9
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