Author
Listed:
- Katharine Best
- Dan H Barouch
- Jeremie Guedj
- Ruy M Ribeiro
- Alan S Perelson
Abstract
Experimental Zika virus infection in non-human primates results in acute viral load dynamics that can be well-described by mathematical models. The inoculum dose that would be received in a natural infection setting is likely lower than the experimental infections and how this difference affects the viral dynamics and immune response is unclear. Here we study a dataset of experimental infection of non-human primates with a range of doses of Zika virus. We develop new models of infection incorporating both an innate immune response and viral interference with that response. We find that such a model explains the data better than models with no interaction between virus and the immune response. We also find that larger inoculum doses lead to faster dynamics of infection, but approximately the same total amount of viral production.Author summary: The relationship between the infecting dose of a pathogen and the subsequent viral dynamics is unclear in many disease settings, and this relationship has implications for both the timing and the required efficacy of antiviral therapy. Since experimental challenge studies often employ higher doses of virus than would generally be present in natural infection assessment of this relationship is particularly important for translation of findings. In this study we used mathematical modelling of viral load data from a multi-dose study of Zika virus infection in a macaque model to describe the impact of varying the dose of Zika virus on model parameters, and developed a novel mathematical model incorporating viral interference with the innate immune response.
Suggested Citation
Katharine Best & Dan H Barouch & Jeremie Guedj & Ruy M Ribeiro & Alan S Perelson, 2021.
"Zika virus dynamics: Effects of inoculum dose, the innate immune response and viral interference,"
PLOS Computational Biology, Public Library of Science, vol. 17(1), pages 1-26, January.
Handle:
RePEc:plo:pcbi00:1008564
DOI: 10.1371/journal.pcbi.1008564
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