It is posited that miRNAs hold significant potential both as novel therapeutic targets and as pivotal regulators in deciphering the intricate pathogenesis of COVID-19 and requires the synergistic integration of in vivo and in vitro experimental approaches in conjunction with rigorous clinical investigations.
Abstract
Modulations in microRNA (miRNA) expression can contribute to disease pathogenesis and biological processes by regulating target proteins. We aimed to compare serum miRNA levels (miR-19a-3p, miR-19b-3p, miR-21, miR-26a-5p, miR-146a, let-7b-3p, miR-155, miR-16, miR-590, miR-1307-3p) between COVID-19 patients and healthy controls to investigate their clinical significance and contribution to disease pathogenesis. Blood samples were obtained from 70 patients diagnosed with COVID-19 and from 30 healthy individuals as a control group for comparison. The patients were stratified into three categories based on disease severity: mild, moderate, and severe. miRNA expression levels were quantified via real-time PCR, with relative quantification performed using the Livak ΔΔCT method by calculating the 2(−ΔΔCT) fold change values. In patients with COVID-19, the expression levels of miR-1307-3p, miR-146, miR-26a-5p, miR-21, miR-19b-3p, and let-7b-3p demonstrated statistically significant differences (p < 0.05). A non-significant downward trend of miR-16 was observed, with miRNA expression profiles exhibiting variability across the different patient groups. Considering host–virus interactions, we posit that miRNAs hold significant potential both as novel therapeutic targets and as pivotal regulators in deciphering the intricate pathogenesis of COVID-19. Comprehensive elucidation of disease pathogenesis requires the synergistic integration of in vivo and in vitro experimental approaches in conjunction with rigorous clinical investigations.
Introduction While microRNA (miR) expression profiling has identified potential biomarkers in patients with COVID-19, the regulatory mechanisms by which miRs modulate disease severity remain poorly characterized. We performed integrated miR–proteome analysis to elucidate mechanistic relationships between miR regulation...
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INTRODUCTION
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Coronary atherosclerosis (CA) is a chronic condition featured with abnormal lipid accumulation as well as inflammation. MiR-20a-5p is a key regulator in lipid metabolism, inflammation, and angiogenesis. However, the potential role of miR-20a-5p in CA remains unknown. This study aimed to investigate the clinical signifi...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.