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Published on: November 30, 2016
Changes in miRNA Pattern Expression Associated With COVID-19 Severity
Paola B Zárate-Segura1, Macario Martínez-Castillo2, Aarón Paris Garduño-Gutiérrez3
1Laboratorio de Medicina Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City, Mexico; pzarates@ipn.mx.
Background/Aim:
Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2 infection, manifests a wide range of clinical symptoms ranging from mild to moderate and severe. Host-related factors influence the course of SARS-CoV-2 infection; for instance, the expression of host microRNAs (miRNAs) could influence the progression and complications of COVID-19. This study aimed to determine the expression pattern of endogenous miRNAs in 80 severe COVID-19 patients compared to a group of healthy individuals.
Materials And Methods:
The miRNA screening expression analysis was performed using TaqMan Low-Density Array, and the expression changes of miR-490-3p, miR-195-5p, miR-454-3p, and miR-431-5p were validated using RT-qPCR. In silico analysis was used to identify new targets and predict the pathways, biological processes, and interactions of the selected miRNAs.
Results:
The miR-490-3p, miR-195-5p, miR-454-3p, and miR-431-5p, were over-expressed in the total population of severe COVID-19 patients compared to the control group. miR-490-3p was found to be over-expressed in both female and male COVID-19 patients.
Conclusion:
Specific miRNAs might be a potential biomarker for predicting the clinical course of COVID-19.
