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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8688464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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