Identification of Novel Hypothalamic MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating ACE2 and TMPRSS2 Expression: An In Silico Analysis

被引:27
|
作者
Mukhopadhyay, Debasmita [1 ]
Mussa, Bashair M. [2 ]
机构
[1] Amer Univ Sharjah, Biomed & Chem Engn Dept, Sharjah 26666, U Arab Emirates
[2] Univ Sharjah, Coll Med, Basic Med Sci Dept, Sharjah 27272, U Arab Emirates
关键词
COVID-19; SARS-CoV-2; hypothalamic circuits; miRNA; ACE2; TMPRSS2; CONVERTING ENZYME 2; POSTTRANSCRIPTIONAL REGULATION; PROTEIN EXPRESSION; SPIKE PROTEIN; ACTIVATION; CELLS;
D O I
10.3390/brainsci10100666
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background: Neuroinvasion of severe acute respiratory syndrome coronavirus (SARS-CoV) is well documented and, given the similarities between this virus and SARS-CoV-2, it seems that the neurological impairment that is associated with coronavirus disease 2019 (COVID-19) is due to SARS-CoV-2 neuroinvasion. Hypothalamic circuits are exposed to the entry of the virus via the olfactory bulb and interact centrally with crucial respiratory nuclei. Hypothalamic microRNAs are considered as potential biomarkers and modulators for various diseases and future therapeutic targets. The present study aims to investigate the microRNAs that regulate the expression of hypothalamic angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2), essential elements for SARS-CoV-2 cell entry. Methods: To determine potential hypothalamic miRNAs that can directly bind to ACE2 and TMPRSS2, multiple target bioinformatics prediction algorithms were used, including miRBase, Target scan, and miRWalk2.029. Results: Our in silico analysis has revealed that, although there are over 5000 hypothalamic miRNAs, around 31 miRNAs and 29 miRNAs have shown binding sites and strong binding capacity against ACE2 and TMPRSS2, respectively. Conclusion: These novel potential hypothalamic miRNAs can be used to identify new therapeutic targets to treat neurological symptoms in COVID-19 patients via regulation of ACE2 and TMPRSS2 expression.
引用
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页码:1 / 11
页数:11
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