In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 17, No. 3 ( 2021-3-17), p. e1008785-
Kurzfassung:
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 ( 〉 10 4 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.
Materialart:
Online-Ressource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1008785
DOI:
10.1371/journal.pcbi.1008785.g001
DOI:
10.1371/journal.pcbi.1008785.g002
DOI:
10.1371/journal.pcbi.1008785.g003
DOI:
10.1371/journal.pcbi.1008785.g004
DOI:
10.1371/journal.pcbi.1008785.g005
DOI:
10.1371/journal.pcbi.1008785.g006
DOI:
10.1371/journal.pcbi.1008785.t001
DOI:
10.1371/journal.pcbi.1008785.s001
DOI:
10.1371/journal.pcbi.1008785.s002
DOI:
10.1371/journal.pcbi.1008785.s003
DOI:
10.1371/journal.pcbi.1008785.s004
DOI:
10.1371/journal.pcbi.1008785.s005
DOI:
10.1371/journal.pcbi.1008785.s006
DOI:
10.1371/journal.pcbi.1008785.s007
DOI:
10.1371/journal.pcbi.1008785.s008
DOI:
10.1371/journal.pcbi.1008785.r001
DOI:
10.1371/journal.pcbi.1008785.r002
DOI:
10.1371/journal.pcbi.1008785.r003
DOI:
10.1371/journal.pcbi.1008785.r004
Sprache:
Englisch
Verlag:
Public Library of Science (PLoS)
Publikationsdatum:
2021
ZDB Id:
2193340-6