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Article

Modeling within-Host SARS-CoV-2 Infection Dynamics and Potential Treatments

by 1 and 1,2,3,4,*
1
Department of Applied Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada
2
Departments of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
3
Cheriton School of Computer Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada
4
School of Pharmacy, University of Waterloo, Waterloo, ON N2L 3G1, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Concetta Castilletti, Luisa Barzon and Francesca Colavita
Viruses 2021, 13(6), 1141; https://doi.org/10.3390/v13061141
Received: 18 April 2021 / Revised: 27 May 2021 / Accepted: 11 June 2021 / Published: 14 June 2021
(This article belongs to the Special Issue SARS-CoV-2 Host Cell Interactions)
The goal of this study was to develop a mathematical model to simulate the actions of drugs that target SARS-CoV-2 virus infection. To accomplish that goal, we have developed a mathematical model that describes the control of a SARS-CoV-2 infection by the innate and adaptive immune components. Invasion of the virus triggers the innate immunity, whereby interferon renders some of the target cells resistant to infection, and infected cells are removed by effector cells. The adaptive immune response is represented by plasma cells and virus-specific antibodies. The model is parameterized and then validated against viral load measurements collected in COVID-19 patients. We apply the model to simulate three potential anti-SARS-CoV-2 therapies: (1) Remdesivir, a repurposed drug that has been shown to inhibit the transcription of SARS-CoV-2, (2) an alternative (hypothetical) therapy that inhibits the virus’ entry into host cells, and (3) convalescent plasma transfusion therapy. Simulation results point to the importance of early intervention, i.e., for any of the three therapies to be effective, it must be administered sufficiently early, not more than a day or two after the onset of symptoms. The model can serve as a key component in integrative platforms for rapid in silico testing of potential COVID-19 therapies and vaccines. View Full-Text
Keywords: COVID-19; convalescent plasma transfusion; immune response; mathematical modeling; Remdesivir COVID-19; convalescent plasma transfusion; immune response; mathematical modeling; Remdesivir
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MDPI and ACS Style

Sadria, M.; Layton, A.T. Modeling within-Host SARS-CoV-2 Infection Dynamics and Potential Treatments. Viruses 2021, 13, 1141. https://doi.org/10.3390/v13061141

AMA Style

Sadria M, Layton AT. Modeling within-Host SARS-CoV-2 Infection Dynamics and Potential Treatments. Viruses. 2021; 13(6):1141. https://doi.org/10.3390/v13061141

Chicago/Turabian Style

Sadria, Mehrshad, and Anita T. Layton. 2021. "Modeling within-Host SARS-CoV-2 Infection Dynamics and Potential Treatments" Viruses 13, no. 6: 1141. https://doi.org/10.3390/v13061141

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