The relationship between miRNAs and clinical data of COVID-19 patients

Document Type : Original Article

Authors

1 Department of Medical Biochemistry, Faculty of Medicine, Minia University, Minia, Egypt

2 Department of Microbiology and Immunology, Faculty of Medicine, Minia University, Minia, Egypt

Abstract

SARS-CoV-2, the causative agent of the 2019 coronavirus illness (COVID-19) pandemic, has quickly disseminated over the globe. As the number of COVID-19 cases has skyrocketed, numerous nations have implemented emergency measures and set recommendations to stem the spread of the virus. A number of biomarkers for COVID-19 have been established after extensive study; however, there is currently no biomarker that is both specific and accurate for predicting the prognosis of patients with COVID-19 infection. Purpose of the study; Therefore, the purpose of this research was to evaluate the potential of miRNAs as predictive biomarkers for COVID-19 by analyzing the correlation between miRNA-106a expression and clinical data from individuals with this condition. Basic procedures: Fifty patients with COVID-19 were hospitalized to Minia University with symptoms including fever, dyspnea, cough, anosmia, GIT signs, and loss of taste sense; samples of 6 ml of venous blood were taken from each patient. Serum miRNA-106a was measured using real-time PCR, and clinical data was gathered after total RNA with preserved miRNAs was isolated from 200 µL of serum from each patient. Main findings: There is a strong link between the expression level of serum miRNA-106a and the clinical data of COVID-19 patients including fever, cough and congested throat. Principle conclusion: The findings supported the feasibility of miRNAs as potential diagnostic biomarkers and early predictors of COVID-19 infection.

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Minia Journal of Medical Research

Articles in Press, Accepted Manuscript
Available Online from 03 December 2023

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