Cargando…

Identification of potentially anti-COVID-19 active drugs using the connectivity MAP

Drug repurposing can be an interesting strategy for an emergency response to the severe acute respiratory syndrome-coronavirus-2, (SARS-COV-2), the causing agent of the coronavirus disease-19 (COVID-19) pandemic. For this, we applied the Connectivity Map (CMap) bioinformatic resource to identify dru...

Descripción completa

Detalles Bibliográficos
Autores principales: Bonnet, Raphaël, Mariault, Lee, Peyron, Jean-François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794112/
https://www.ncbi.nlm.nih.gov/pubmed/35085325
http://dx.doi.org/10.1371/journal.pone.0262751
_version_ 1784640756237991936
author Bonnet, Raphaël
Mariault, Lee
Peyron, Jean-François
author_facet Bonnet, Raphaël
Mariault, Lee
Peyron, Jean-François
author_sort Bonnet, Raphaël
collection PubMed
description Drug repurposing can be an interesting strategy for an emergency response to the severe acute respiratory syndrome-coronavirus-2, (SARS-COV-2), the causing agent of the coronavirus disease-19 (COVID-19) pandemic. For this, we applied the Connectivity Map (CMap) bioinformatic resource to identify drugs that generate, in the CMap database, gene expression profiles (GEP) that negatively correlate with a SARS-COV-2 GEP, anticipating that these drugs could antagonize the deleterious effects of the virus at cell, tissue or organism levels. We identified several anti-cancer compounds that target MDM2 in the p53 pathway or signaling proteins: Ras, PKBβ, Nitric Oxide synthase, Rho kinase, all involved in the transmission of proliferative and growth signals. We hypothesized that these drugs could interfere with the high rate of biomass synthesis in infected cells, a feature shared with cancer cells. Other compounds including etomoxir, triacsin-c, PTB1-IN-3, are known to modulate lipid metabolism or to favor catabolic reactions by activating AMPK. Four different anti-inflammatory molecules, including dexamethasone, fluorometholone and cytosporone-b, targeting the glucocorticoid receptor, cyclooxygenase, or NUR77 also came out of the analysis. These results represent a first step in the characterization of potential repositioning strategies to treat SARS-COV-2.
format Online
Article
Text
id pubmed-8794112
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-87941122022-01-28 Identification of potentially anti-COVID-19 active drugs using the connectivity MAP Bonnet, Raphaël Mariault, Lee Peyron, Jean-François PLoS One Research Article Drug repurposing can be an interesting strategy for an emergency response to the severe acute respiratory syndrome-coronavirus-2, (SARS-COV-2), the causing agent of the coronavirus disease-19 (COVID-19) pandemic. For this, we applied the Connectivity Map (CMap) bioinformatic resource to identify drugs that generate, in the CMap database, gene expression profiles (GEP) that negatively correlate with a SARS-COV-2 GEP, anticipating that these drugs could antagonize the deleterious effects of the virus at cell, tissue or organism levels. We identified several anti-cancer compounds that target MDM2 in the p53 pathway or signaling proteins: Ras, PKBβ, Nitric Oxide synthase, Rho kinase, all involved in the transmission of proliferative and growth signals. We hypothesized that these drugs could interfere with the high rate of biomass synthesis in infected cells, a feature shared with cancer cells. Other compounds including etomoxir, triacsin-c, PTB1-IN-3, are known to modulate lipid metabolism or to favor catabolic reactions by activating AMPK. Four different anti-inflammatory molecules, including dexamethasone, fluorometholone and cytosporone-b, targeting the glucocorticoid receptor, cyclooxygenase, or NUR77 also came out of the analysis. These results represent a first step in the characterization of potential repositioning strategies to treat SARS-COV-2. Public Library of Science 2022-01-27 /pmc/articles/PMC8794112/ /pubmed/35085325 http://dx.doi.org/10.1371/journal.pone.0262751 Text en © 2022 Bonnet 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, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bonnet, Raphaël
Mariault, Lee
Peyron, Jean-François
Identification of potentially anti-COVID-19 active drugs using the connectivity MAP
title Identification of potentially anti-COVID-19 active drugs using the connectivity MAP
title_full Identification of potentially anti-COVID-19 active drugs using the connectivity MAP
title_fullStr Identification of potentially anti-COVID-19 active drugs using the connectivity MAP
title_full_unstemmed Identification of potentially anti-COVID-19 active drugs using the connectivity MAP
title_short Identification of potentially anti-COVID-19 active drugs using the connectivity MAP
title_sort identification of potentially anti-covid-19 active drugs using the connectivity map
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794112/
https://www.ncbi.nlm.nih.gov/pubmed/35085325
http://dx.doi.org/10.1371/journal.pone.0262751
work_keys_str_mv AT bonnetraphael identificationofpotentiallyanticovid19activedrugsusingtheconnectivitymap
AT mariaultlee identificationofpotentiallyanticovid19activedrugsusingtheconnectivitymap
AT peyronjeanfrancois identificationofpotentiallyanticovid19activedrugsusingtheconnectivitymap