Background: COVID-19 is one of the worst pandemics worldwide, and its diagnosis and treatment are of great importance. Recent evidence has shown that circular RNA (circRNA deregulation is involved in different infectious diseases. In the present study, we tried to investigate the expression of cirRNAs RasGEF1B (hsa_circ_0127052), HIPK3 (hsa_circ_100783), and GATAD2A (hsa_circ_0050236) in COVID-19 patients. Methods: Using quantitative real-time polymerase chain reaction, the expression profiles of candidate circRNAs were detected in 57 COVID-19 patients and 51 healthy controls. As part of the process of identifying a candidate circRNA that is sensitive and specific, receiver operating characteristic (ROC) curves were also utilized. Results: Our results showed higher expression levels of circRasGEF1B and circHIPK3 in COVID-19 patients, however, circGATAD2A showed no statistical difference between patients and controls. ROC curves showed that circRasGEF1B (hsa_circ_0127052), and HIPK3 (hsa_circ_100783) had favorable specificity and sensitivity, whereas GATAD2A (hsa_circ_0050236) did not. Conclusion: In summary, our study highlights the potential of CircRasGEF1B (hsa_circ_0127052) and HIPK3 (hsa_circ_100783) as biomarkers for COVID-19 diagnosis due to their high expression levels and demonstrated diagnostic accuracy. These findings suggest that circRNAs could play a crucial role in the development of diagnostic tools for COVID-19, providing a new avenue for early detection and management of the disease.
Keywords: COVID-19; circGATAD2A; circHIPK3; circRNAs; circRasGEF1B.