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Updated: Aug 9, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
circRNA, a novel diagnostic biomarker for coronary heart disease
Xiao Tong1, Xinyi Zhao1, Xuan Dang1
1Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.
Insights
This study identified exosome-derived circRNAs as potential diagnostic biomarkers for coronary heart disease (CHD). Four specific circRNAs (circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922) show promise for predicting CHD and acute coronary syndrome (ACS).
Area of Science:
- Biochemistry
- Molecular Biology
- Genomics
Background:
- Coronary heart disease (CHD) poses a significant global health challenge.
- Accurate and early diagnostic biomarkers for CHD are crucial for effective management.
- Exosome-derived circular RNAs (circRNAs) are emerging as potential non-invasive biomarkers.
Purpose of the Study:
- To identify novel diagnostic biomarkers for coronary heart disease (CHD) from exosome-derived circRNAs.
- To investigate the potential of specific circRNAs in predicting CHD and acute coronary syndrome (ACS).
Main Methods:
- Retrieved microarray data for circRNAs in CHD exosomes and mRNAs in acute myocardial infarction from public databases.
- Identified differentially expressed genes (DEGs) and constructed a circRNA-microRNA-mRNA ceRNA network.
- Utilized Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and STRING for pathway and interaction analysis.
- Validated candidate biomarkers using quantitative real-time polymerase chain reaction (qRT-PCR) and receiver operator characteristic (ROC) curve analysis.
Main Results:
- Identified 85 differentially expressed circRNAs in CHD patients (4 up-regulated, 81 down-regulated).
- Constructed a ceRNA network comprising 7 circRNA, 5 microRNA, and 2 mRNA nodes.
- Validated circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922 as promising diagnostic markers for CHD.
Conclusions:
- Exosome-derived circRNAs, particularly circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922, are potential diagnostic biomarkers for CHD.
- These findings offer insights into the molecular mechanisms of CHD and provide candidates for early detection.
- Further research into these circRNAs could advance the diagnosis and treatment of CHD and ACS.
Objective:
This study aimed to identify the potential diagnostic biomarkers of coronary heart disease (CHD) from exosome-derived circRNA.
Methods:
The microarray data of circRNA derived from the exosomes of patients with CHD and mRNA in acute myocardial infarction was retrieved from exoRBase website and GEO database (GSE61144), respectively, to identify the differentially expressed genes (DEGs). Our findings detected the differentially expressed circRNAs and mRNAs and predicted their correlation with microRNAs using the microRNA target prediction website, thus ascertaining the corresponding circ-microRNA and micro-mRNAs. Then, we performed systematic Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis on the differentially expressed mRNA. Protein-Protein Interactions (PPI) of these DEGs were examined using STRING. The receiver operator characteristic (ROC) curve was used to validate the diagnostic efficacy of circRNA in patients with CHD. Finally, the RNAs identified in this study were verified by quantitative real-time polymerase chain reaction (qRT-PCR).
Results:
A total of 85 differentially expressed circRNAs (4 up-regulated and 81 down-regulated) were identified by screening the circRNAs in exosome of CHD patients. Based on the prediction data of circRNA, mRNA, and the corresponding microRNA, a ceRNA network was constructed, including 7 circRNA nodes, 5 microRNA nodes, and 2 mRNA nodes. Finally, validated by qRT-PCR testing, we found circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922 to be the promising candidate for the effective prediction of CHD. These potential diagnostic markers can provide insight for further research on the occurrence of CHD or even acute coronary syndrome (ACS).
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