circRNA, a novel diagnostic biomarker for coronary heart disease.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36818340", "kind": "science-record", "revision": 4, "content_hash": "sha256:ec0c0abfa3fdaf49623cb7883dbcd07beaa57e9138652f1eaaacdbe89fd881e3", "created_at": "2026-11-01T19:01:24Z", "updated_at": "2026-11-01T22:51:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "circRNA, a novel diagnostic biomarker for coronary heart disease.", "doi": "10.3389/fcvm.2023.1070616", "pmid": "36818340", "authors": ["Xiao Tong", "Xinyi Zhao", "Xuan Dang", "Yan Kou", "Junjie Kou"], "journal": "Frontiers in cardiovascular medicine", "year": 2023, "abstract": "Objective: This study aimed to identify the potential diagnostic biomarkers of coronary heart disease (CHD) from exosome-derived circRNA.\nMethods: 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).\nResults: 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).", "claims": [{"id": "claim-method", "statement": "To test the efficiency of the prediction of CHD by differential expression of circRNA, we generated receiver operating characteristic (ROC) curves using circRNA expression data from the dataset of 31 CHD patients and 24 healthy individuals. The area under the ROC curve (AUC) was used to evaluate the diagnostic value of the identified hub genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36818340", "locator": "sections[8] \"2.6. Diagnostic merit of characteristic biomarkers in CHD\" paragraph 2", "quote": "To test the efficiency of the prediction of CHD by differential expression of circRNA, we generated receiver operating characteristic (ROC) curves using circRNA expression data from the dataset of 31 CHD patients and 24 healthy individuals. The area under the ROC curve (AUC) was used to evaluate the diagnostic value of the identified hub genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61144.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36818340", "locator": "sections[19] \"Data availability statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE61144."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Finally, we produced another joint ROC curve for each circRNA, which showed an area under the curve of 0.784 (Supplementary Figure 1).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36818340", "locator": "sections[16] \"3.5. 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