Lin Fei, Yang YaMing, Guo Quan, Xie Mingzhang, Sun Siyu, Wang Xiulong, Li Dongxu, Zhang Guhao, Li Meng, Wang Jie, Zhao Guoan
The First Hospital of Xinxiang Medical University, Xinxiang, Henan 453100, China.
Heart Center of Xinxiang Medical University, Xinxiang, China.
Evid Based Complement Alternat Med. 2020 Apr 29;2020:1584052. doi: 10.1155/2020/1584052. eCollection 2020.
With the development of biological technology, biomarkers for the prevention and diagnosis of acute coronary syndrome (ACS) have become increasingly evident. However, the study of novel circular RNAs (circRNAs) in ACS is still in progress. This study aimed to investigate whether the regulation of circRNA-miRNA networks is involved in ACS pathogenesis.
We used microarray analysis to detect significantly expressed circRNAs and miRNAs in the peripheral blood of patients in the control group (CG) and ACS groups, including an unstable angina pectoris (UAP) group and an acute myocardial infarction (AMI) group. A circRNA-miRNA interaction network analysis was carried out with open-source bioinformatics. The gene ontology (GO), pathway, and disease enrichment analyses for differentially expressed circRNAs were further analysed with hierarchical clustering.
A total of 266 circRNAs (121 upregulated and 145 downregulated, < 0.05, fold change FC ≥2) and 3 miRNAs (1 upregulated and 2 downregulated, < 0.05, FC ≥ 1.2) were differentially expressed in the ACS groups compared with those in the CG. In addition, among these expressed circRNAs and miRNAs, a single circRNA could bind to more than 1-100 miRNAs, and vice versa. Next, an AMI-UAP network, an AMI-CG network, a UAP-CG network, and an AMI-CG-UAP network were constructed. The top 30 enriched GO terms among the three groups were emphasized as differentially expressed. Disease enrichment analysis showed that these differentially expressed circRNAs are involved in the pathogenesis of cardiovascular diseases. KEGG pathway analysis was performed to identify pathways associated with circRNAs targeting mRNAs.
CircRNAs are closely related to the pathological process of ACS via a mechanism that may be related to the up- or down-regulation of circRNAs and miRNAs and circRNA-miRNA coexpression. The metabolic pathways, signalling pathways, and diseases affected by these circRNAs can be predicted by enrichment analysis.
随着生物技术的发展，用于急性冠状动脉综合征（ACS）预防和诊断的生物标志物日益显著。然而，新型环状RNA（circRNA）在ACS中的研究仍在进行中。本研究旨在探讨circRNA- miRNA网络的调控是否参与ACS的发病机制。
我们使用微阵列分析来检测对照组（CG）以及ACS组（包括不稳定型心绞痛（UAP）组和急性心肌梗死（AMI）组）患者外周血中显著表达的circRNA和miRNA。利用开源生物信息学进行circRNA- miRNA相互作用网络分析。通过层次聚类进一步分析差异表达circRNA的基因本体（GO）、通路和疾病富集分析。
与CG组相比，ACS组共有266个circRNA（121个上调，145个下调，<0.05，倍数变化FC≥2）和3个miRNA（1个上调，2个下调，<0.05，FC≥1.2）差异表达。此外，在这些表达的circRNA和miRNA中，单个circRNA可与1至100多个miRNA结合，反之亦然。接下来，构建了AMI-UAP网络、AMI-CG网络、UAP-CG网络和AMI-CG-UAP网络。强调三组中前30个富集的GO术语为差异表达。疾病富集分析表明，这些差异表达的circRNA参与心血管疾病的发病机制。进行KEGG通路分析以鉴定与circRNA靶向mRNA相关的通路。
CircRNA通过一种可能与circRNA和miRNA的上调或下调以及circRNA-miRNA共表达相关的机制与ACS的病理过程密切相关。通过富集分析可以预测受这些circRNA影响的代谢途径、信号通路和疾病。
