Back to Search Start Over

SARS-CoV-2 viral dynamics in non-human primates.

Authors :
Antonio Gonçalves
Pauline Maisonnasse
Flora Donati
Mélanie Albert
Sylvie Behillil
Vanessa Contreras
Thibaut Naninck
Romain Marlin
Caroline Solas
Andres Pizzorno
Julien Lemaitre
Nidhal Kahlaoui
Olivier Terrier
Raphael Ho Tsong Fang
Vincent Enouf
Nathalie Dereuddre-Bosquet
Angela Brisebarre
Franck Touret
Catherine Chapon
Bruno Hoen
Bruno Lina
Manuel Rosa Calatrava
Xavier de Lamballerie
France Mentré
Roger Le Grand
Sylvie van der Werf
Jérémie Guedj
Source :
PLoS Computational Biology, Vol 17, Iss 3, p e1008785 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

Non-human primates infected with SARS-CoV-2 exhibit mild clinical signs. Here we used a mathematical model to characterize in detail the viral dynamics in 31 cynomolgus macaques for which nasopharyngeal and tracheal viral load were frequently assessed. We identified that infected cells had a large burst size (>104 virus) and a within-host reproductive basic number of approximately 6 and 4 in nasopharyngeal and tracheal compartment, respectively. After peak viral load, infected cells were rapidly lost with a half-life of 9 hours, with no significant association between cytokine elevation and clearance, leading to a median time to viral clearance of 10 days, consistent with observations in mild human infections. Given these parameter estimates, we predict that a prophylactic treatment blocking 90% of viral production or viral infection could prevent viral growth. In conclusion, our results provide estimates of SARS-CoV-2 viral kinetic parameters in an experimental model of mild infection and they provide means to assess the efficacy of future antiviral treatments.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
17
Issue :
3
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.0fa0b9d2f5e5421e8a4721a215607b84
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1008785