Authors: D. Štěpán 1; P. Kušnierová 2 Authors‘ workplace: Ústav laboratorní medicíny, Fakultní nemocnice Ostrava 1; Ústav laboratorní medicíny, Fakultní nemocnice Ostrava a Lékařská fakulta, Ostravská univerzita 2 Published in: Klin. Biochem. Metab., 32, 2024, No. 3, p. 73-77 doi: https://doi.org/10.61568/kbm.2024.015
Objective: Identification and quantification of predictive microRNA (miRNA) markers for early diagnosis of COVID-19.
Design: Prospective
Settings: Department of Laboratory Medicine, University Hospital Ostrava, 17. listopadu 1790/5, 708 52 Ostrava Poruba Material and Methods: Eight patients who were infected with SARS-CoV-2 virus a were tracked over time were included in the study. Sampling (blood serum and nasopharyngeal swab) was performed at the Department of Infectious Medicine and the Department of Anesthesiology, Resuscitation and Intensive Care Medicine of the University Hospital Ostrava. Determination of microRNA was performed by Two-Tailed qPCR (TT-qPCR), isolation of microRNA was performed on the iCatcher 12 isolator (CatchGene Co.) and the CFX96™ Real-Time detection system (Bio-Rad) was used for reverse tran-scription followed by detection. MS Excel and MedCalc® software were used for statistical data processing.
Results: Seven men (87.5%) and one woman (12.5%) were included in the study. Bland-Altman analysis showed no stati-stically significant difference between blood serum samples and nasopharyngeal swabs for all studied miRNAs. The most significant changes in microRNA expression during COVID-19 disease were found in hsa-miR-23a-3p, hsa-miR-146a-5p and hsa-miR-222-3p. These microRNAs were identified as potential prognostic diagnostic markers based on the concor-dance of the results of two statistical tests.
Conclusion: The use of TT-qPCR for quantification of miRNA expression represents an innovative and promising strategy in the diagnosis of COVID-19. Identification of miRNA biomarkers with dynamic changes in expression during infection may significantly contribute to the development of modern diagnostic tools. However, further validation through large-sca-le clinical studies is necessary to confirm these findings and integrate them into clinical practice.
microRNA – biomarker – SARS-CoV-2 – COVID-19 – TT-qPCR
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