Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/43541
metadata.artigo.dc.title: System biological investigations of hydroxychloroquine and azithromycin targets and their implications in QT interval prolongation
metadata.artigo.dc.creator: Khan, Abdul Arif
Khan, Zakir
metadata.artigo.dc.subject: COVID-19
Coronavirus
SARS-CoV-2
Drug targets
Network pharmacology
Cardiac arrhythmia
Alvos de drogas
Farmacologia de rede
Arritmia cardíaca
metadata.artigo.dc.publisher: Elsevier
metadata.artigo.dc.date.issued: 2020
metadata.artigo.dc.identifier.citation: KHAN, A. A.; KHAN, Z. System biological investigations of hydroxychloroquine and azithromycin targets and their implications in QT interval prolongation. Chemico-Biological Interactions, Limerick, 109299, 2020. DOI: https://doi.org/10.1016/j.cbi.2020.109299.
metadata.artigo.dc.description.abstract: COVID-2019 pandemic is affecting people worldwide in the absence of an effective treatment strategy. Several suggestive therapeutic options through drug repurposing are recommended, but a complete consensus is not reached. A combination of Hydroxychloroquine (HCQ) and Azithromycin (AZM) has been widely tried and discussed but its administration has also led to potential adversities in patients. Studies are suggesting that most prominent adverse event with HCQ and AZM combination is QT interval prolongation. We studied interaction of HCQ with AZM and subsequent effect of this drug combination on QT interval prolongation. We performed system biological investigation of HCQ and AZM targets and screened important targets and pathways possibly involved in QT interval prolongation. The best core hub protein drug targets involved in QT interval prolongation were identified as HSP90AA1 exclusively associated with HCQ, while AKT1 exclusively associated with AZM. It was found that PI3K/Akt, VEGF, ERBB2 pathways must be given consideration for understanding the role of HCQ and AZM in QT interval prolongation. Conclusion: Computational methods have certain limitations based on source database coverage and prediction algorithms and therefore this data needs experimental correlation to draw final conclusion, but current findings screen targets for QT interval prolongation associated with HCQ and AZM. These proteins and pathways may provide ways to reduce this major risk associated with this combination.
metadata.artigo.dc.identifier.uri: https://www.sciencedirect.com/science/article/pii/S0009279720315799#!
http://repositorio.ufla.br/jspui/handle/1/43541
metadata.artigo.dc.language: en_US
Appears in Collections:FCS - Artigos sobre Coronavirus Disease 2019 (COVID-19)

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