Construction of a circRNA-miRNA-mRNA Regulatory Network for Coronary Artery Disease by Bioinformatics Analysis

IF 1.8 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiology Research and Practice Pub Date : 2022-02-16 DOI:10.1155/2022/4017082
Zebo Zhang, H. Qian, Li Wang, Zhenbo Tao, Keai Cheng, Kaiyue Wang, Yanqing Xie, Lina Zhang
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引用次数: 2

Abstract

Background Circular RNAs (circRNAs) were known to be related to the pathogenesis of many diseases through competing endogenous RNA (ceRNA) regulatory mechanisms. However, the function of circRNA in coronary artery disease (CAD) remains unclear. In this study, we aim to construct a circRNA-related competing endogenous RNA (ceRNA) network in CAD. Methods The gene expression profiles of CAD were obtained from Gene Expression Omnibus datasets. Bioinformatics analysis was performed to construct a ceRNA regulatory network, from which the hub genes involved were identified through protein-protein interaction (PPI) networks leading to the identification of the circRNA-miRNA-hub gene subnetwork. In addition, function enrichment analysis was performed to detect the potential biological mechanism in which circRNA might be involved. Results A total of 115 DEcircRNAs (differentially expressed circRNAs), 17 DEmiRNAs (differentially expressed microRNAs), and 790 DEmRNAs (differentially expressed mRNAs) were identified between CAD and control groups from microarray datasets. Functional enrichment analysis showed that DEmRNAs were significantly involved in inflammation-related pathways and ubiquitin-protein ligase binding. After identifying 20 DEcircRNA-DEmiRNA pairs and 561 DEmiRNA-DEmRNA pairs, we obtained a circRNA-miRNA-mRNA regulatory network. PPI network analysis showed that eight hub genes were closely related to CAD, leading to the identification of a circRNA-miRNA-hub gene subnetwork consisting of nine circRNAs (hsa_circ_0020275, hsa_circ_0020387, hsa_circ_0020417, hsa_circ_0045512, hsa_circ_0047336, hsa_circ_0069094, hsa_circ_0071326, hsa_circ_0071330, and hsa_circ_0085340), four miRNAs (hsa-miR-136-5p, hsa-miR-376c-3p, hsa-miR-411-5p, and hsa-miR-654-5p), and eight mRNAs (MKRN1, UBE2H, UBE2W, UBE2D1, UBE2F, BE2J1, ZNRF1, and SIAH2). In addition, we discovered these hub genes were enriched in the ubiquitin-mediated proteolysis pathway, suggesting circRNAs may be involved in the pathogenesis of CAD through this pathway. Conclusions This study may deepen our understanding of the potential role of circRNA-miRNA-mRNA regulation network in CAD and suggest novel diagnostic biomarkers and therapeutic targets for CAD.
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应用生物信息学分析构建冠心病circRNA-miRNA-mRNA调控网络
已知环状RNA (circRNAs)通过竞争性内源性RNA (ceRNA)调控机制与许多疾病的发病机制相关。然而,circRNA在冠状动脉疾病(CAD)中的功能尚不清楚。在这项研究中,我们的目标是在CAD中构建一个circrna相关的竞争内源性RNA (ceRNA)网络。方法从基因表达Omnibus数据库中获取CAD的基因表达谱。通过生物信息学分析构建ceRNA调控网络,通过蛋白-蛋白相互作用(PPI)网络鉴定出相关枢纽基因,从而鉴定出circRNA-miRNA-hub基因亚网络。此外,我们还进行了功能富集分析,以检测circRNA可能参与的潜在生物学机制。结果从微阵列数据集中,CAD组和对照组共鉴定出115个DEcircRNAs(差异表达的环状rna)、17个DEmiRNAs(差异表达的microRNAs)和790个demmrnas(差异表达的mrna)。功能富集分析显示,demrna显著参与炎症相关通路和泛素蛋白连接酶结合。在鉴定了20对DEcircRNA-DEmiRNA和561对demirna - demmrna后,我们获得了一个circRNA-miRNA-mRNA调控网络。PPI网络分析表明,八个中心基因密切相关CAD、导致circRNA-miRNA-hub基因的识别子网组成的九circRNAs (hsa_circ_0020275、hsa_circ_0020387 hsa_circ_0020417, hsa_circ_0045512, hsa_circ_0047336, hsa_circ_0069094, hsa_circ_0071326, hsa_circ_0071330,和hsa_circ_0085340),四个microrna (hsa - mir - 136 - 5 - p, hsa - mir - 376 - c - 3 - p, hsa - mir - 411 - 5 - p,和hsa - mir - 654 - 5 - p),和八个mrna (MKRN1、UBE2H UBE2W, UBE2D1, UBE2F, BE2J1, ZNRF1,和SIAH2)。此外,我们发现这些枢纽基因在泛素介导的蛋白水解途径中富集,提示circRNAs可能通过该途径参与CAD的发病机制。结论本研究可能加深我们对circRNA-miRNA-mRNA调控网络在CAD中的潜在作用的理解,并为CAD提供新的诊断生物标志物和治疗靶点。
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来源期刊
Cardiology Research and Practice
Cardiology Research and Practice Medicine-Cardiology and Cardiovascular Medicine
CiteScore
4.40
自引率
0.00%
发文量
64
审稿时长
13 weeks
期刊介绍: Cardiology Research and Practice is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies that focus on the diagnosis and treatment of cardiovascular disease. The journal welcomes submissions related to systemic hypertension, arrhythmia, congestive heart failure, valvular heart disease, vascular disease, congenital heart disease, and cardiomyopathy.
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