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

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...

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Autores principales: Loganathan, Tamizhini, Ramachandran, Srimathy, Shankaran, Prakash, Nagarajan, Devipriya, Mohan S, Suma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293190/
https://www.ncbi.nlm.nih.gov/pubmed/32566414
http://dx.doi.org/10.7717/peerj.9357
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author Loganathan, Tamizhini
Ramachandran, Srimathy
Shankaran, Prakash
Nagarajan, Devipriya
Mohan S, Suma
author_facet Loganathan, Tamizhini
Ramachandran, Srimathy
Shankaran, Prakash
Nagarajan, Devipriya
Mohan S, Suma
author_sort Loganathan, Tamizhini
collection PubMed
description 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.
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spelling pubmed-72931902020-06-18 Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach Loganathan, Tamizhini Ramachandran, Srimathy Shankaran, Prakash Nagarajan, Devipriya Mohan S, Suma PeerJ Bioinformatics 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. PeerJ Inc. 2020-06-10 /pmc/articles/PMC7293190/ /pubmed/32566414 http://dx.doi.org/10.7717/peerj.9357 Text en © 2020 Loganathan et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Loganathan, Tamizhini
Ramachandran, Srimathy
Shankaran, Prakash
Nagarajan, Devipriya
Mohan S, Suma
Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach
title Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach
title_full Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach
title_fullStr Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach
title_full_unstemmed Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach
title_short Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach
title_sort host transcriptome-guided drug repurposing for covid-19 treatment: a meta-analysis based approach
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293190/
https://www.ncbi.nlm.nih.gov/pubmed/32566414
http://dx.doi.org/10.7717/peerj.9357
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