Abstract

Coronary artery diseases (CAD) represent a significant global health concern and are recognized as a primary contributor to mortality on a worldwide scale. Early diagnosis of CAD is one of promising goal to manage this disorder. Recent investigations have highlighted the pivotal involvement of microRNAs (miRNAs) in diverse health conditions, notably CAD. The principal objective of this investigation was to identify appropriate miRNAs that could be employed for the early detection of CAD. In the present study, we analyzed dataset of CAD (GSE113079) and 100 differentially expressed mRNAs (DEmRNAs) were detected. The miRNAs that have a significant interaction with DEmRNAs were chosen. By computational prediction method, 5 miRNAs (miR-106b-5p, miR-20a-3p, miR-17-3p, miR-146a-5p, and miR-155-3p) were selected. Finally, we assessed the anticipated expression levels of microRNAs in CAD patients and healthy control groups. Our findings revealed a statistically significant elevation solely in the expression level of miR-106b-5p within the CAD group when compared to the control group (p>0.001). Our study demonstrated an elevation in the expression of miR-106b-5p in individuals diagnosed with CAD. This microRNA may be used as a diagnostic biomarker in patients with CAD. However, further investigations are needed to confirm these results.

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