Publication:
An in silico analysis identifies drugs potentially modulating the cytokine storm triggered by SARS-CoV-2 infection

dc.contributor.authorSanchez-Burgos, Laura
dc.contributor.authorGómez-López, Gonzalo
dc.contributor.authorAl-Shahrour, Fatima
dc.contributor.authorFernandez-Capetillo, Oscar
dc.contributor.funderKarolinska Institutet
dc.date.accessioned2022-02-02T09:21:24Z
dc.date.available2022-02-02T09:21:24Z
dc.date.issued2022-01-31
dc.description.abstractThe ongoing COVID-19 pandemic is one of the biggest health challenges of recent decades. Among the causes of mortality triggered by SARS-CoV-2 infection, the development of an inflammatory “cytokine storm” (CS) plays a determinant role. Here, we used transcriptomic data from the bronchoalveolar lavage fluid (BALF) of COVID-19 patients undergoing a CS to obtain gene-signatures associated to this pathology. Using these signatures, we interrogated the Connectivity Map (CMap) dataset that contains the effects of over 5000 small molecules on the transcriptome of human cell lines, and looked for molecules which effects on transcription mimic or oppose those of the CS. As expected, molecules that potentiate immune responses such as PKC activators are predicted to worsen the CS. In addition, we identified the negative regulation of female hormones among pathways potentially aggravating the CS, which helps to understand the gender-related differences in COVID-19 mortality. Regarding drugs potentially counteracting the CS, we identified glucocorticoids as a top hit, which validates our approach as this is the primary treatment for this pathology. Interestingly, our analysis also reveals a potential effect of MEK inhibitors in reverting the COVID-19 CS, which is supported by in vitro data that confirms the anti-inflammatory properties of these compounds.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipOpen access funding provided by Karolinska Institute.es_ES
dc.format.number1es_ES
dc.format.volume12es_ES
dc.identifier.citationSci Rep. 2022; in presses_ES
dc.identifier.doi10.1038/s41598-022-05597-xes_ES
dc.identifier.e-issn2045-2322es_ES
dc.identifier.journalScientific Reportses_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/13609
dc.language.isoenges_ES
dc.publisherSpringer
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-022-05597-xes_ES
dc.repisalud.institucionCNIOes_ES
dc.repisalud.orgCNIOCNIO::Grupos de investigación::Grupo de Inestabilidad Genómicaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAn in silico analysis identifies drugs potentially modulating the cytokine storm triggered by SARS-CoV-2 infectiones_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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