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

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...

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Autores principales: El-Hachem, Nehme, Eid, Edward, Nemer, Georges, Dbaibo, Ghassan, Abbas, Ossama, Rubeiz, Nelly, Zeineldine, Salah, Matar, Ghassan M., Bikorimana, Jean-Pierre, Shammaa, Riam, Haibe-Kains, Benjamin, Kurban, Mazen, Rafei, Moutih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571421/
https://www.ncbi.nlm.nih.gov/pubmed/33103068
http://dx.doi.org/10.1016/j.isci.2020.101697
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author El-Hachem, Nehme
Eid, Edward
Nemer, Georges
Dbaibo, Ghassan
Abbas, Ossama
Rubeiz, Nelly
Zeineldine, Salah
Matar, Ghassan M.
Bikorimana, Jean-Pierre
Shammaa, Riam
Haibe-Kains, Benjamin
Kurban, Mazen
Rafei, Moutih
author_facet El-Hachem, Nehme
Eid, Edward
Nemer, Georges
Dbaibo, Ghassan
Abbas, Ossama
Rubeiz, Nelly
Zeineldine, Salah
Matar, Ghassan M.
Bikorimana, Jean-Pierre
Shammaa, Riam
Haibe-Kains, Benjamin
Kurban, Mazen
Rafei, Moutih
author_sort El-Hachem, Nehme
collection PubMed
description 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.
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spelling pubmed-75714212020-10-20 Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal El-Hachem, Nehme Eid, Edward Nemer, Georges Dbaibo, Ghassan Abbas, Ossama Rubeiz, Nelly Zeineldine, Salah Matar, Ghassan M. Bikorimana, Jean-Pierre Shammaa, Riam Haibe-Kains, Benjamin Kurban, Mazen Rafei, Moutih iScience Article 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. Elsevier 2020-10-19 /pmc/articles/PMC7571421/ /pubmed/33103068 http://dx.doi.org/10.1016/j.isci.2020.101697 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
El-Hachem, Nehme
Eid, Edward
Nemer, Georges
Dbaibo, Ghassan
Abbas, Ossama
Rubeiz, Nelly
Zeineldine, Salah
Matar, Ghassan M.
Bikorimana, Jean-Pierre
Shammaa, Riam
Haibe-Kains, Benjamin
Kurban, Mazen
Rafei, Moutih
Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal
title Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal
title_full Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal
title_fullStr Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal
title_full_unstemmed Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal
title_short Integrative Transcriptome Analyses Empower the Anti-COVID-19 Drug Arsenal
title_sort integrative transcriptome analyses empower the anti-covid-19 drug arsenal
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571421/
https://www.ncbi.nlm.nih.gov/pubmed/33103068
http://dx.doi.org/10.1016/j.isci.2020.101697
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