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Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody
The COVID-19 pandemic has led to over 760 million cases and 6.9 million deaths worldwide. To mitigate the loss of lives, emergency use authorization was given to several anti-SARS-CoV-2 monoclonal antibody (mAb) therapies for the treatment of mild-to-moderate COVID-19 in patients with a high risk of...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515893/ https://www.ncbi.nlm.nih.gov/pubmed/37745410 http://dx.doi.org/10.1101/2023.09.14.557679 |
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author | Phan, Tin Zitzmann, Carolin Chew, Kara W. Smith, Davey M. Daar, Eric S. Wohl, David A. Eron, Joseph J. Currier, Judith S. Hughes, Michael D. Choudhary, Manish C. Deo, Rinki Li, Jonathan Z. Ribeiro, Ruy M. Ke, Ruian Perelson, Alan S. |
author_facet | Phan, Tin Zitzmann, Carolin Chew, Kara W. Smith, Davey M. Daar, Eric S. Wohl, David A. Eron, Joseph J. Currier, Judith S. Hughes, Michael D. Choudhary, Manish C. Deo, Rinki Li, Jonathan Z. Ribeiro, Ruy M. Ke, Ruian Perelson, Alan S. |
author_sort | Phan, Tin |
collection | PubMed |
description | The COVID-19 pandemic has led to over 760 million cases and 6.9 million deaths worldwide. To mitigate the loss of lives, emergency use authorization was given to several anti-SARS-CoV-2 monoclonal antibody (mAb) therapies for the treatment of mild-to-moderate COVID-19 in patients with a high risk of progressing to severe disease. Monoclonal antibodies used to treat SARS-CoV-2 target the spike protein of the virus and block its ability to enter and infect target cells. Monoclonal antibody therapy can thus accelerate the decline in viral load and lower hospitalization rates among high-risk patients with susceptible variants. However, viral resistance has been observed, in some cases leading to a transient viral rebound that can be as large as 3–4 orders of magnitude. As mAbs represent a proven treatment choice for SARS-CoV-2 and other viral infections, evaluation of treatment-emergent mAb resistance can help uncover underlying pathobiology of SARS-CoV-2 infection and may also help in the development of the next generation of mAb therapies. Although resistance can be expected, the large rebounds observed are much more difficult to explain. We hypothesize replenishment of target cells is necessary to generate the high transient viral rebound. Thus, we formulated two models with different mechanisms for target cell replenishment (homeostatic proliferation and return from an innate immune response anti-viral state) and fit them to data from persons with SARS-CoV-2 treated with a mAb. We showed that both models can explain the emergence of resistant virus associated with high transient viral rebounds. We found that variations in the target cell supply rate and adaptive immunity parameters have a strong impact on the magnitude or observability of the viral rebound associated with the emergence of resistant virus. Both variations in target cell supply rate and adaptive immunity parameters may explain why only some individuals develop observable transient resistant viral rebound. Our study highlights the conditions that can lead to resistance and subsequent viral rebound in mAb treatments during acute infection. |
format | Online Article Text |
id | pubmed-10515893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105158932023-09-23 Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody Phan, Tin Zitzmann, Carolin Chew, Kara W. Smith, Davey M. Daar, Eric S. Wohl, David A. Eron, Joseph J. Currier, Judith S. Hughes, Michael D. Choudhary, Manish C. Deo, Rinki Li, Jonathan Z. Ribeiro, Ruy M. Ke, Ruian Perelson, Alan S. bioRxiv Article The COVID-19 pandemic has led to over 760 million cases and 6.9 million deaths worldwide. To mitigate the loss of lives, emergency use authorization was given to several anti-SARS-CoV-2 monoclonal antibody (mAb) therapies for the treatment of mild-to-moderate COVID-19 in patients with a high risk of progressing to severe disease. Monoclonal antibodies used to treat SARS-CoV-2 target the spike protein of the virus and block its ability to enter and infect target cells. Monoclonal antibody therapy can thus accelerate the decline in viral load and lower hospitalization rates among high-risk patients with susceptible variants. However, viral resistance has been observed, in some cases leading to a transient viral rebound that can be as large as 3–4 orders of magnitude. As mAbs represent a proven treatment choice for SARS-CoV-2 and other viral infections, evaluation of treatment-emergent mAb resistance can help uncover underlying pathobiology of SARS-CoV-2 infection and may also help in the development of the next generation of mAb therapies. Although resistance can be expected, the large rebounds observed are much more difficult to explain. We hypothesize replenishment of target cells is necessary to generate the high transient viral rebound. Thus, we formulated two models with different mechanisms for target cell replenishment (homeostatic proliferation and return from an innate immune response anti-viral state) and fit them to data from persons with SARS-CoV-2 treated with a mAb. We showed that both models can explain the emergence of resistant virus associated with high transient viral rebounds. We found that variations in the target cell supply rate and adaptive immunity parameters have a strong impact on the magnitude or observability of the viral rebound associated with the emergence of resistant virus. Both variations in target cell supply rate and adaptive immunity parameters may explain why only some individuals develop observable transient resistant viral rebound. Our study highlights the conditions that can lead to resistance and subsequent viral rebound in mAb treatments during acute infection. Cold Spring Harbor Laboratory 2023-09-17 /pmc/articles/PMC10515893/ /pubmed/37745410 http://dx.doi.org/10.1101/2023.09.14.557679 Text en https://creativecommons.org/publicdomain/zero/1.0/This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license (https://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Article Phan, Tin Zitzmann, Carolin Chew, Kara W. Smith, Davey M. Daar, Eric S. Wohl, David A. Eron, Joseph J. Currier, Judith S. Hughes, Michael D. Choudhary, Manish C. Deo, Rinki Li, Jonathan Z. Ribeiro, Ruy M. Ke, Ruian Perelson, Alan S. Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody |
title | Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody |
title_full | Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody |
title_fullStr | Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody |
title_full_unstemmed | Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody |
title_short | Modeling the emergence of viral resistance for SARS-CoV-2 during treatment with an anti-spike monoclonal antibody |
title_sort | modeling the emergence of viral resistance for sars-cov-2 during treatment with an anti-spike monoclonal antibody |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515893/ https://www.ncbi.nlm.nih.gov/pubmed/37745410 http://dx.doi.org/10.1101/2023.09.14.557679 |
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