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How Interactions During Viral-Viral Coinfection Can Shape Infection Kinetics

Lubna Pinky, Joseph R DeAguero, Christopher H Remien, View ORCID ProfileAmber M. Smith
doi: https://doi.org/10.1101/2023.04.05.535744
Lubna Pinky
1Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN USA
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Joseph R DeAguero
2Bioinformatics and Computational Biology Program, University of Idaho, Moscow, ID USA
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Christopher H Remien
3Department of Mathematics and Statistical Science, University of Idaho, Moscow, ID USA
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Amber M. Smith
1Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN USA
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  • ORCID record for Amber M. Smith
  • For correspondence: amber.smith@uthsc.edu
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Abstract

Respiratory virus infections are a leading cause of disease worldwide with multiple viruses detected in 20-30% of cases and several viruses simultaneously circulating. Some infections with viral copathogens have been shown to result in reduced pathogenicity while other virus pairings can worsen disease. The mechanisms driving these dichotomous outcomes are likely variable and have only begun to be examined in the laboratory and clinic. To better understand viral-viral coinfections and predict potential mechanisms that result in distinct disease outcomes, we first systematically fit mathematical models to viral load data from ferrets infected with respiratory syncytial virus (RSV) followed by influenza A virus (IAV) after 3 days. The results suggested that IAV reduced the rate of RSV production while RSV reduced the rate of IAV infected cell clearance. We then explored the realm of possible dynamics for scenarios not examined experimentally, including different infection order, coinfection timing, interaction mechanisms, and viral pairings. IAV coinfection with rhinovirus (RV) or SARS-CoV-2 (CoV2) was examined by using human viral load data from single infections together with murine weight loss data from IAV-RV, RV-IAV, and IAV-CoV2 coinfections to guide the interpretation of the model results. Similar to the results with RSV-IAV coinfection, this analysis showed that the increased disease severity observed during murine IAV-RV or IAV-CoV2 coinfection was likely due to slower clearance of IAV infected cells by the other viruses. On the contrary, the improved outcome when IAV followed RV could be replicated when the rate of RV infected cell clearance was reduced by IAV. Simulating viral-viral coinfections in this way provides new insights about how viral-viral interactions can regulate disease severity during coinfection and yields testable hypotheses ripe for experimental evaluation.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted April 05, 2023.
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How Interactions During Viral-Viral Coinfection Can Shape Infection Kinetics
Lubna Pinky, Joseph R DeAguero, Christopher H Remien, Amber M. Smith
bioRxiv 2023.04.05.535744; doi: https://doi.org/10.1101/2023.04.05.535744
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How Interactions During Viral-Viral Coinfection Can Shape Infection Kinetics
Lubna Pinky, Joseph R DeAguero, Christopher H Remien, Amber M. Smith
bioRxiv 2023.04.05.535744; doi: https://doi.org/10.1101/2023.04.05.535744

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