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Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal

Authors :
Nehme El-Hachem
Edward Eid
Georges Nemer
Ghassan Dbaibo
Ossama Abbas
Nelly Rubeiz
Salah Zeineldine
Ghassan M. Matar
Jean-Pierre Bikorimana
Riam Shammaa
Benjamin Haibe-Kains
Mazen Kurban
Moutih Rafei
Source :
iScience, Vol 23, Iss 11, Pp 101697- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Summary: The beginning of the 21st century has been marked by three distinct waves of zoonotic coronavirus outbreaks into the human population. The COVID-19 (coronavirus disease 2019) pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and emerged as a global threat endangering the livelihoods of millions worldwide. Currently, and despite collaborative efforts, diverse therapeutic strategies from ongoing clinical trials are still debated. To address the need for such an immediate call of action, we leveraged the largest dataset of drug-induced transcriptomic perturbations, public SARS-CoV-2 transcriptomic datasets, and expression profiles from normal lung transcriptomes. Most importantly, our unbiased systems biology approach prioritized more than 50 repurposable drug candidates (e.g., corticosteroids, Janus kinase and Bruton kinase inhibitors). Further clinical investigation of these FDA-approved candidates as monotherapy or in combination with an antiviral regimen (e.g., remdesivir) could lead to promising outcomes in patients with COVID-19.

Details

Language :
English
ISSN :
25890042
Volume :
23
Issue :
11
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.115cc6c1074b86bc6aa8ed197296e1
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2020.101697