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. 2021 Mar 28;18(12):2055–2072. doi: 10.1080/15476286.2021.1891393

Table 2.

circRNAs as potential biomarkers

CircRNA CVD category Findings of the study Methods Reference
Hsa_circ_0001445 Coronary Atherosclerosis Hsa_circ_0001445 was remarkably stable in plasma. Plasma levels of hsa_circ_0001445 were proportional to coronary atherosclerotic burden and improved detection of coronary artery atherosclerosis. RT-qPCR in plasma from 200 patients with suspected stable CAD. Vilades et al 2020 [12]
Hsa_circ_0001879 and Hsa_circ_0004104 CAD Both significantly upregulated in CAD patients. Overexpression of hsa_circ_0004104 in vitro resulted in dysregulation of atherosclerosis-related genes Microarray and RT-qPCR in whole blood from 24 CAD patients and 7 healthy controls. Further verified by qPCR in 412 CAD patients and 290 controls Wang et al 2019 [98]
Hsa_circ_0124644 CAD First study to investigate the circRNA profile in the peripheral blood of CAD patients. Circulating levels of hsa_circ_0124644 improved detection of CAD. Microarray in peripheral blood from 12 CAD patients and 12 healthy controls. qPCR of 5 circRNAs with highest fold change in 30 controls and 30 CAD patients. Validation in 137 CAD patients and 115 healthy controls Zhao et al 2017 [101]
Hsa_circ_0005540 CAD Hsa_circ_0005540 was significantly associated with CAD. RNA Sequencing of circRNA expression levels in plasma exosomes. CAD patients (n = 61) and non-CAD controls (n = 38) formed the profiling and internal validation phases. CAD (n = 47) patients and non-CAD controls (n = 51) for the validation phase. Wu et al 2020 [99]
Myocardial Infarction-Associated Circular RNA (MICRA) Myocardial Infarction Circulating levels of MICRA were lower in MI patients. MICRA was a strong predictor of left ventricle (LV) dysfunction; patients with lower levels of MICRA were at higher risk of LV dysfunction RT-qPCR in whole blood from 642 acute MI patients, 86 heathy controls Vausort et al 2016 [96]
Myocardial Infarction-Associated Circular RNA (MICRA) Myocardial Infarction MICRA classified patients into ejection fraction (EF) groups. Improved risk classification after MI RT-qPCR in whole blood from 472 acute MI patients classified into 3 groups according to ejection fraction Salgado-Somoza et al 2017 [97]
CircHIPK3 Myocardial Infarction Exosomal circHIPK3 released from hypoxia-induced cardiomyocytes regulates cardiac angiogenesis after MI Hypoxic cardiomyocytes released circHIPK3-rich exosomes to regulate oxidative stress damage in cardiac endothelial cells. Angiogenesis following MI in mice was promoted. Wang et al 2020 [100]