ArticleFrontiers in cardiovascular medicine2023
circRNA, a novel diagnostic biomarker for coronary heart disease.
Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Extracellular Vesicles as Mediators of Pathophysiology and Disease Progression in Cardiovascular Diseases.International journal of molecular sciences · 2026Review
- Comprehensive landscape and future perspectives of exosomal circular RNAs in cardiovascular disease.Frontiers in pharmacology · 2026Review
- Diagnostic and therapeutic potential of exosomal circRNAs in cancer: decoding the circular code toward precision medicine.Cancer cell international · 2025Review
- Circular RNAs as Novel Biomarkers and Application in Cardiovascular Diseases.Advances in experimental medicine and biology · 2025Review
- Circular RNAs in coronary heart disease: From molecular mechanism to promising clinical application (Review).International journal of molecular medicine · 2025Review
- Whole transcriptome analysis and preliminary construction of ceRNA networks in obstetric antiphospholipid syndrome.Frontiers in immunology · 2025Article
- Circular RNAs in human diseases.MedComm · 2024Review
- Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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