A virus-free cellular model recapitulates several features of severe COVID-19

Abstract As for all newly-emergent pathogens, SARS-CoV-2 presents with a relative paucity of clinical information and experimental models, a situation hampering both the development of new effective treatments and the prediction of future outbreaks. Here, we find that a simple virus-free model, base...

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Main Authors: Giovanni Lavorgna, Giulio Cavalli, Lorenzo Dagna, Silvia Gregori, Alessandro Larcher, Giovanni Landoni, Fabio Ciceri, Francesco Montorsi, Andrea Salonia
Format: Article
Language:English
Published: Nature Portfolio 2021-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-96875-7
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author Giovanni Lavorgna
Giulio Cavalli
Lorenzo Dagna
Silvia Gregori
Alessandro Larcher
Giovanni Landoni
Fabio Ciceri
Francesco Montorsi
Andrea Salonia
author_facet Giovanni Lavorgna
Giulio Cavalli
Lorenzo Dagna
Silvia Gregori
Alessandro Larcher
Giovanni Landoni
Fabio Ciceri
Francesco Montorsi
Andrea Salonia
author_sort Giovanni Lavorgna
collection DOAJ
description Abstract As for all newly-emergent pathogens, SARS-CoV-2 presents with a relative paucity of clinical information and experimental models, a situation hampering both the development of new effective treatments and the prediction of future outbreaks. Here, we find that a simple virus-free model, based on publicly available transcriptional data from human cell lines, is surprisingly able to recapitulate several features of the clinically relevant infections. By segregating cell lines (n = 1305) from the CCLE project on the base of their sole angiotensin-converting enzyme 2 (ACE2) mRNA content, we found that overexpressing cells present with molecular features resembling those of at-risk patients, including senescence, impairment of antibody production, epigenetic regulation, DNA repair and apoptosis, neutralization of the interferon response, proneness to an overemphasized innate immune activity, hyperinflammation by IL-1, diabetes, hypercoagulation and hypogonadism. Likewise, several pathways were found to display a differential expression between sexes, with males being in the least advantageous position, thus suggesting that the model could reproduce even the sex-related disparities observed in the clinical outcome of patients with COVID-19. Overall, besides validating a new disease model, our data suggest that, in patients with severe COVID-19, a baseline ground could be already present and, as a consequence, the viral infection might simply exacerbate a variety of latent (or inherent) pre-existing conditions, representing therefore a tipping point at which they become clinically significant.
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spelling doaj.art-c7ea18b3b3a340c1a5a5c94cae73ab752022-12-21T21:52:17ZengNature PortfolioScientific Reports2045-23222021-09-0111111310.1038/s41598-021-96875-7A virus-free cellular model recapitulates several features of severe COVID-19Giovanni Lavorgna0Giulio Cavalli1Lorenzo Dagna2Silvia Gregori3Alessandro Larcher4Giovanni Landoni5Fabio Ciceri6Francesco Montorsi7Andrea Salonia8Division of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San RaffaeleUniversity Vita-Salute San RaffaeleUniversity Vita-Salute San RaffaeleSan Raffaele Telethon Institute for Gene Therapy (SR-TIGET), IRCCS Ospedale San RaffaeleDivision of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San RaffaeleUniversity Vita-Salute San RaffaeleUniversity Vita-Salute San RaffaeleDivision of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San RaffaeleDivision of Experimental Oncology/Unit of Urology, URI, IRCCS Ospedale San RaffaeleAbstract As for all newly-emergent pathogens, SARS-CoV-2 presents with a relative paucity of clinical information and experimental models, a situation hampering both the development of new effective treatments and the prediction of future outbreaks. Here, we find that a simple virus-free model, based on publicly available transcriptional data from human cell lines, is surprisingly able to recapitulate several features of the clinically relevant infections. By segregating cell lines (n = 1305) from the CCLE project on the base of their sole angiotensin-converting enzyme 2 (ACE2) mRNA content, we found that overexpressing cells present with molecular features resembling those of at-risk patients, including senescence, impairment of antibody production, epigenetic regulation, DNA repair and apoptosis, neutralization of the interferon response, proneness to an overemphasized innate immune activity, hyperinflammation by IL-1, diabetes, hypercoagulation and hypogonadism. Likewise, several pathways were found to display a differential expression between sexes, with males being in the least advantageous position, thus suggesting that the model could reproduce even the sex-related disparities observed in the clinical outcome of patients with COVID-19. Overall, besides validating a new disease model, our data suggest that, in patients with severe COVID-19, a baseline ground could be already present and, as a consequence, the viral infection might simply exacerbate a variety of latent (or inherent) pre-existing conditions, representing therefore a tipping point at which they become clinically significant.https://doi.org/10.1038/s41598-021-96875-7
spellingShingle Giovanni Lavorgna
Giulio Cavalli
Lorenzo Dagna
Silvia Gregori
Alessandro Larcher
Giovanni Landoni
Fabio Ciceri
Francesco Montorsi
Andrea Salonia
A virus-free cellular model recapitulates several features of severe COVID-19
Scientific Reports
title A virus-free cellular model recapitulates several features of severe COVID-19
title_full A virus-free cellular model recapitulates several features of severe COVID-19
title_fullStr A virus-free cellular model recapitulates several features of severe COVID-19
title_full_unstemmed A virus-free cellular model recapitulates several features of severe COVID-19
title_short A virus-free cellular model recapitulates several features of severe COVID-19
title_sort virus free cellular model recapitulates several features of severe covid 19
url https://doi.org/10.1038/s41598-021-96875-7
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