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

Articolo
Data di Pubblicazione:
2021
Citazione:
A virus-free cellular model recapitulates several features of severe COVID-19 / Lavorgna, G.; Cavalli, G.; Dagna, L.; Gregori, S.; Larcher, A.; Landoni, G.; Ciceri, F.; Montorsi, F.; Salonia, A.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 11:1(2021), p. 17473. [10.1038/s41598-021-96875-7]
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.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Angiotensin-Converting Enzyme 2; COVID-19; Cell Line; Databases, Genetic; Female; Gene Expression Profiling; Humans; Immunity, Innate; Male; Models, Biological; Models, Theoretical; Sex Characteristics; Up-Regulation
Elenco autori:
Lavorgna, G.; Cavalli, G.; Dagna, L.; Gregori, S.; Larcher, A.; Landoni, G.; Ciceri, F.; Montorsi, F.; Salonia, A.
Autori di Ateneo:
CICERI FABIO
DAGNA LORENZO
LANDONI GIOVANNI
MONTORSI FRANCESCO
SALONIA ANDREA
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/120475
Pubblicato in:
SCIENTIFIC REPORTS
Journal
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