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Updated: Oct 9, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Comprehensive analysis of the ceRNA network in coronary artery disease
Weikang Bian1, Xiao-Xin Jiang1, Zhicheng Wang1
1Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing, 210006, Jiangsu, People's Republic of China.
Insights
This study identifies key regulatory networks in coronary artery disease (CAD) by analyzing gene expression. The findings reveal crucial long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) involved in CAD development.
Area of Science:
- Genomics
- Molecular Biology
- Cardiovascular Research
Background:
- Coronary artery disease (CAD) is a leading cause of mortality in aging populations.
- The underlying genetic mechanisms of CAD remain incompletely understood.
- Identifying genetic regulators is crucial for understanding CAD pathogenesis.
Purpose of the Study:
- To construct a lncRNA-miRNA-mRNA regulatory network for CAD.
- To systematically identify differentially expressed genes (DEGs) in CAD patients.
- To elucidate the genetic basis of CAD development.
Main Methods:
- Utilized lncRNA (GSE69587, GSE113079), miRNA (GSE105449), and mRNA (GSE113079, GSE9820) datasets from CAD and control samples.
- Identified differentially expressed genes (DEGs) including 1111 lncRNAs, 2595 mRNAs, and 22 miRNAs.
- Constructed a lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network to identify hub nodes.
Main Results:
- A total of 1111 lncRNAs, 2595 mRNAs, and 22 miRNAs were identified as differentially expressed.
- The ceRNA network highlighted KCNQ1OT1 and H19 lncRNAs with high connectivity to nine miRNAs.
- Enriched pathways included nitrogen compound metabolism and PI3K-Akt signaling.
Conclusions:
- The constructed ceRNA network provides insights into the molecular mechanisms of CAD.
- Key lncRNAs like KCNQ1OT1 and H19 play significant roles in CAD pathogenesis.
- Findings contribute to a better understanding of CAD development and potential therapeutic targets.
Abstract:
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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