Construction of the ceRNA network in the progression of acute myocardial infarction.

IF 1.3
Hui Liu, Shuai Qin, Yuanyuan Zhao, Lei Gao, Chao Zhang
{"title":"Construction of the ceRNA network in the progression of acute myocardial infarction.","authors":"Hui Liu,&nbsp;Shuai Qin,&nbsp;Yuanyuan Zhao,&nbsp;Lei Gao,&nbsp;Chao Zhang","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Acute myocardial infarction (AMI) is a common disease that induced by sudden occlusion of a coronary artery and myocardial necrosis, which causes a great medical burden worldwide. Noncoding RNAs, such as circRNA, lncRNA and miRNA, play crucial roles in the progression of cardiovascular diseases. However, the circRNA-miRNA-mRNA network in the occurrence and development of AMI needs further investigation. In this study, we downloaded three AMI datasets, including circRNA (GSE160717), miRNA (GSE24591), and mRNA (GSE66360) from GEO database. The differentially expressed candidates, and GO and KEGG functions were analyzed by RStudio, and subsequently import to PPI and Cytoscape to obtain the hub genes. By using the starbase target prediction database, we further screen the ceRNA network of circRNA-miRNA-mRNA based on the selected differentially expressed candidates. We found 46 differential expressed mRNAs, 65 miRNAs, and five circRNAs. GO functions and KEGG enrichment of the 46 mRNAs focused on immune response and functions, involving IL-17 signaling pathway, Toll-like receptor signaling pathway, cytokine-cytokine receptor interaction, TNF signaling pathway, chemokine signaling pathway, and NF-kappaB signaling pathway, which may aggravate the pathologies of AMI. PPI and Cytoscape analysis showed 10 hub genes, including TLR2, IL1B, CCL4, CCL3, CCR5, TREM1, CXCL2, NLRP3, CSF3, and CCL20. By using starbase and circinteractome databases, ceRNA network construction showed that circRNA_023461 and circRNA_400027 regulate several miRNA-mRNA axes in AMI. In summary, this study uncovered the circRNA-miRNA-mRNA network based on three AMI datasets. The differentially expressed genes, including CCL20, CCL4, CSF3, and IL1B, focus on immune functions and pathways. Furthermore, circRNA_023461 and circRNA_400027 regulate several miRNA-mRNA axes, exerting important roles in AMI progression. Our founding provides new insights into AMI and improve the therapeutic strategies for AMI.</p>","PeriodicalId":7427,"journal":{"name":"American journal of cardiovascular disease","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890199/pdf/ajcd0012-0283.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of cardiovascular disease","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Acute myocardial infarction (AMI) is a common disease that induced by sudden occlusion of a coronary artery and myocardial necrosis, which causes a great medical burden worldwide. Noncoding RNAs, such as circRNA, lncRNA and miRNA, play crucial roles in the progression of cardiovascular diseases. However, the circRNA-miRNA-mRNA network in the occurrence and development of AMI needs further investigation. In this study, we downloaded three AMI datasets, including circRNA (GSE160717), miRNA (GSE24591), and mRNA (GSE66360) from GEO database. The differentially expressed candidates, and GO and KEGG functions were analyzed by RStudio, and subsequently import to PPI and Cytoscape to obtain the hub genes. By using the starbase target prediction database, we further screen the ceRNA network of circRNA-miRNA-mRNA based on the selected differentially expressed candidates. We found 46 differential expressed mRNAs, 65 miRNAs, and five circRNAs. GO functions and KEGG enrichment of the 46 mRNAs focused on immune response and functions, involving IL-17 signaling pathway, Toll-like receptor signaling pathway, cytokine-cytokine receptor interaction, TNF signaling pathway, chemokine signaling pathway, and NF-kappaB signaling pathway, which may aggravate the pathologies of AMI. PPI and Cytoscape analysis showed 10 hub genes, including TLR2, IL1B, CCL4, CCL3, CCR5, TREM1, CXCL2, NLRP3, CSF3, and CCL20. By using starbase and circinteractome databases, ceRNA network construction showed that circRNA_023461 and circRNA_400027 regulate several miRNA-mRNA axes in AMI. In summary, this study uncovered the circRNA-miRNA-mRNA network based on three AMI datasets. The differentially expressed genes, including CCL20, CCL4, CSF3, and IL1B, focus on immune functions and pathways. Furthermore, circRNA_023461 and circRNA_400027 regulate several miRNA-mRNA axes, exerting important roles in AMI progression. Our founding provides new insights into AMI and improve the therapeutic strategies for AMI.

Abstract Image

Abstract Image

急性心肌梗死进展过程中ceRNA网络的构建。
急性心肌梗死(AMI)是由冠状动脉突然闭塞和心肌坏死引起的一种常见疾病,在世界范围内造成了巨大的医疗负担。非编码rna,如circRNA、lncRNA和miRNA,在心血管疾病的进展中起着至关重要的作用。然而,AMI发生发展中的circRNA-miRNA-mRNA网络还有待进一步研究。在这项研究中,我们从GEO数据库下载了三个AMI数据集,包括circRNA (GSE160717)、miRNA (GSE24591)和mRNA (GSE66360)。通过RStudio分析差异表达候选基因、GO和KEGG功能,然后导入到PPI和Cytoscape中获得枢纽基因。通过使用starbase靶标预测数据库,我们进一步筛选基于选择的差异表达候选者的circRNA-miRNA-mRNA的ceRNA网络。我们发现了46个差异表达mrna, 65个mirna和5个环状rna。GO功能和KEGG富集的46种mrna集中于免疫应答和功能,涉及IL-17信号通路、toll样受体信号通路、细胞因子-细胞因子受体相互作用、TNF信号通路、趋化因子信号通路、NF-kappaB信号通路,可能加重AMI的病理。PPI和Cytoscape分析显示10个枢纽基因,包括TLR2、IL1B、CCL4、CCL3、CCR5、TREM1、CXCL2、NLRP3、CSF3和CCL20。利用starbase和circinteractome数据库构建的ceRNA网络显示,circRNA_023461和circRNA_400027调控AMI中多个miRNA-mRNA轴。综上所述,本研究基于三个AMI数据集揭示了circRNA-miRNA-mRNA网络。差异表达的基因包括CCL20、CCL4、CSF3和IL1B,主要关注免疫功能和途径。此外,circRNA_023461和circRNA_400027调节多个miRNA-mRNA轴,在AMI进展中发挥重要作用。我们的成立为AMI提供了新的见解,并改进了AMI的治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
American journal of cardiovascular disease
American journal of cardiovascular disease CARDIAC & CARDIOVASCULAR SYSTEMS-
自引率
0.00%
发文量
21
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信