Bioinformatic Evaluation of the miRNAs Targeting ACE2 Gene in COVID-19

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Rafat Milad; Roshan Aida; Abyar Mahya; Keramati Saba; NIKPOOR AMIN REZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Disease and Diagnosis Year:2021 | Volume:10 | Issue:4 Page(s): 135-143

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Title

Bioinformatic Evaluation of the miRNAs Targeting ACE2 Gene in COVID-19

Author(s)

Keywords

SARS-COV-2

COVID-19

ACE2

microRNA

miRNA

Abstract

Introduction: Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2), which began in late 2019 in Wuhan, China, has become a global epidemic. Angiotensin 2 converting enzyme (ACE2) acts as a receptor for host function to cause acute coronavirus 2 acute respiratory syndrome (SARS-COV-2). ACE2 is abundantly expressed in different cells of different human organs. In human physiology, ACE2 is a major player in the renin-angiotensin-aldosterone (RAAS) system by degrading angiotensin II. Many factors have been associated with altered ACE2 expression and the severity and progression of COVID-19, including microRNAs that may be effective in it. Identifying pathological changes due to SARS-COV-2 infection is important because it has major implications for understanding the pathophysiology of COVID-19 and developing evidence-based treatment strategies. Currently, many intervention strategies are being explored in ongoing clinical trials. Objective: The aim of this study is to use bioinformatics databases to find potential antiviral therapies against SARS-COV-2 through host microRNAs (miRNAs) that can reduce viral gene expression to inhibit virus entry and replication. Methods: Using different algorithms in TargetScan, DIANA, ENCORI and miRWalk databases, the potential microRNAs were identified that target ACE2. Then, a score table was prepared from the candidate microRNAs, based on the affinity of the seed region of microRNAs and the 3`-UTR region of the ACE2 gene. Finally, microRNAs with higher scores were chosen as candidates for practical analysis. Results: The results of Bioinformatical analysis showed that Has-miR-200c-3p, Has-miR-29a, Has-miR-29c, and Has-miR-942 are most likely to inhibit ACE2. These microRNAs are the most potent factors that might be affected on ACE2 during virulence. Conclusion: It seems that ACE2 is under the control of the miR-200c-3p and plays a crucial role in the pathophysiology process. Therefore, this microRNA can be considered as a suitable new candidate for experimental evaluation.

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APA: Copy

Rafat, Milad, Roshan, Aida, Abyar, Mahya, Keramati, Saba, & NIKPOOR, AMIN REZA. (2021). Bioinformatic Evaluation of the miRNAs Targeting ACE2 Gene in COVID-19. DISEASE AND DIAGNOSIS (INTERNATIONAL ELECTRONIC JOURNAL OF MEDICINE), 10(4), 135-143. SID. https://sid.ir/paper/1018459/en

Vancouver: Copy

Rafat Milad, Roshan Aida, Abyar Mahya, Keramati Saba, NIKPOOR AMIN REZA. Bioinformatic Evaluation of the miRNAs Targeting ACE2 Gene in COVID-19. DISEASE AND DIAGNOSIS (INTERNATIONAL ELECTRONIC JOURNAL OF MEDICINE)[Internet]. 2021;10(4):135-143. Available from: https://sid.ir/paper/1018459/en

IEEE: Copy

Milad Rafat, Aida Roshan, Mahya Abyar, Saba Keramati, and AMIN REZA NIKPOOR, “Bioinformatic Evaluation of the miRNAs Targeting ACE2 Gene in COVID-19,” DISEASE AND DIAGNOSIS (INTERNATIONAL ELECTRONIC JOURNAL OF MEDICINE), vol. 10, no. 4, pp. 135–143, 2021, [Online]. Available: https://sid.ir/paper/1018459/en

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