» Articles » PMID: 34471195

A Virus-free Cellular Model Recapitulates Several Features of Severe COVID-19

Overview
Journal Sci Rep
Specialty Science
Date 2021 Sep 2
PMID 34471195
Citations 2
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Testosterone in males with COVID-19: a 12-month cohort study.

Salonia A, Pontillo M, Capogrosso P, Pozzi E, Ferrara A, Cotelessa A Andrology. 2022; 11(1):17-23.

PMID: 36251583 PMC: 9874525. DOI: 10.1111/andr.13322.


Biomarkers of ageing and frailty may predict COVID-19 severity.

Wanhella K, Fernandez-Patron C Ageing Res Rev. 2021; 73:101513.

PMID: 34838734 PMC: 8611822. DOI: 10.1016/j.arr.2021.101513.

References
1.
Hoffmann M, Kleine-Weber H, Schroeder S, Kruger N, Herrler T, Erichsen S . SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell. 2020; 181(2):271-280.e8. PMC: 7102627. DOI: 10.1016/j.cell.2020.02.052. View

2.
Wang C, Li W, Drabek D, Okba N, van Haperen R, Osterhaus A . A human monoclonal antibody blocking SARS-CoV-2 infection. Nat Commun. 2020; 11(1):2251. PMC: 7198537. DOI: 10.1038/s41467-020-16256-y. View

3.
Mossel E, Huang C, Narayanan K, Makino S, Tesh R, Peters C . Exogenous ACE2 expression allows refractory cell lines to support severe acute respiratory syndrome coronavirus replication. J Virol. 2005; 79(6):3846-50. PMC: 1075706. DOI: 10.1128/JVI.79.6.3846-3850.2005. View

4.
Zhou P, Yang X, Wang X, Hu B, Zhang L, Zhang W . A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020; 579(7798):270-273. PMC: 7095418. DOI: 10.1038/s41586-020-2012-7. View

5.
McCray Jr P, Pewe L, Wohlford-Lenane C, Hickey M, Manzel L, Shi L . Lethal infection of K18-hACE2 mice infected with severe acute respiratory syndrome coronavirus. J Virol. 2006; 81(2):813-21. PMC: 1797474. DOI: 10.1128/JVI.02012-06. View