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Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach

Tamizhini Loganathan, Srimathy Ramachandran, Prakash Shankaran, Devipriya Nagarajan, Suma Mohan S

2020PeerJ53 citationsDOIOpen Access PDF

Abstract

Background Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been declared a pandemic by the World Health Organization, and the identification of effective therapeutic strategy is a need of the hour to combat SARS-CoV-2 infection. In this scenario, the drug repurposing approach is widely used for the rapid identification of potential drugs against SARS-CoV-2, considering viral and host factors. Methods We adopted a host transcriptome-based drug repurposing strategy utilizing the publicly available high throughput gene expression data on SARS-CoV-2 and other respiratory infection viruses. Based on the consistency in expression status of host factors in different cell types and previous evidence reported in the literature, pro-viral factors of SARS-CoV-2 identified and subject to drug repurposing analysis based on DrugBank and Connectivity Map (CMap) using the web tool, CLUE. Results The upregulated pro-viral factors such as TYMP , PTGS2 , C1S , CFB , IFI44 , XAF1 , CXCL2 , and CXCL3 were identified in early infection models of SARS-CoV-2. By further analysis of the drug-perturbed expression profiles in the connectivity map, 27 drugs that can reverse the expression of pro-viral factors were identified, and importantly, twelve of them reported to have anti-viral activity. The direct inhibition of the PTGS2 gene product can be considered as another therapeutic strategy for SARS-CoV-2 infection and could suggest six approved PTGS2 inhibitor drugs for the treatment of COVID-19. The computational study could propose candidate repurposable drugs against COVID-19, and further experimental studies are required for validation.

Topics & Concepts

DrugBankDrug repositioningRepurposingTranscriptomeDrugComputational biologyCoronavirusPandemicBiologyCoronavirus disease 2019 (COVID-19)MedicineBioinformaticsDiseaseGene expressionPharmacologyGeneInfectious disease (medical specialty)GeneticsInternal medicineEcologySARS-CoV-2 and COVID-19 Researchinterferon and immune responsesvaccines and immunoinformatics approaches
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