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Bioinformatic-based study on genes and micrornas predisposing Covid-19-related cardiovascular injuries
Anatolian Journal of Cardiology ; 26(Supplement 1):S115-S116, 2022.
Article in English | EMBASE | ID: covidwho-2202576
ABSTRACT
Background and

Aim:

Apart from the direct and immediate invasion of coronavirus to vital tissues such as the heart, the virus is also capable of damaging these tissues based on the host's genetic susceptibility. The present bioinformatic- based study aimed to determine the genes and related microRNAs that most likely to be associated with susceptibility rates for virus-induced cardiovascular vulnerabilities. Method(s) A deep search was scheduled in databases including Pubmed (Medline), Google Scholar, Web of Science, and Scopus databases to assess all microRNAs and targeted genes related to cardiovascular defects induced by the coronavirus. The bioinformatic professional software systems were employed to assess gene-microRNAs interactions and mechanisms involved in cardiovascular injury. Result(s) The coronavirus can induce cardiovascular defects by the three mechanisms of inducing cardiac fibrosis (by up-regulating miR-367-3p and down-regulating hsa-miR- 5692a), inducing hypertension (by up-regulating miR-18b- 5p), and inhibiting microvascular angiogenesis (by up-regulation of miR-18b-5p and down-regulating hsa-miR-5692a). Such processes can be triggered by the effects on NFAT5, CD69, and HGF expression. Conclusion(s) Considering the central role of the revealed microRNAs and their targeted genes in cardiovascular injuries induced by coronavirus, such microRNAs can be applied for finding a way to stabilize the host against virus attacks as well as genetically based treatment for the affected host. (Figure Presented).
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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: Anatolian Journal of Cardiology Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: Anatolian Journal of Cardiology Year: 2022 Document Type: Article