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Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment
Mathematical modeling of Ebola virus (EBOV)–host dynamics during infection and treatment in vivo is in its infancy due to few studies with frequent viral kinetic data, lack of approved antiviral therapies, and limited insight into the timing of EBOV infection of cells and tissues throughout the body...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019702/ https://www.ncbi.nlm.nih.gov/pubmed/31963118 http://dx.doi.org/10.3390/v12010106 |
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author | Chertow, Daniel S. Shekhtman, Louis Lurie, Yoav Davey, Richard T. Heller, Theo Dahari, Harel |
author_facet | Chertow, Daniel S. Shekhtman, Louis Lurie, Yoav Davey, Richard T. Heller, Theo Dahari, Harel |
author_sort | Chertow, Daniel S. |
collection | PubMed |
description | Mathematical modeling of Ebola virus (EBOV)–host dynamics during infection and treatment in vivo is in its infancy due to few studies with frequent viral kinetic data, lack of approved antiviral therapies, and limited insight into the timing of EBOV infection of cells and tissues throughout the body. Current in-host mathematical models simplify EBOV infection by assuming a single homogeneous compartment of infection. In particular, a recent modeling study assumed the liver as the largest solid organ targeted by EBOV infection and predicted that nearly all cells become refractory to infection within seven days of initial infection without antiviral treatment. We compared our observations of EBOV kinetics in multiple anatomic compartments and hepatocellular injury in a critically ill patient with Ebola virus disease (EVD) with this model’s predictions. We also explored the model’s predictions, with and without antiviral therapy, by recapitulating the model using published inputs and assumptions. Our findings highlight the challenges of modeling EBOV–host dynamics and therapeutic efficacy and emphasize the need for iterative interdisciplinary efforts to refine mathematical models that might advance understanding of EVD pathogenesis and treatment. |
format | Online Article Text |
id | pubmed-7019702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70197022020-03-09 Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment Chertow, Daniel S. Shekhtman, Louis Lurie, Yoav Davey, Richard T. Heller, Theo Dahari, Harel Viruses Article Mathematical modeling of Ebola virus (EBOV)–host dynamics during infection and treatment in vivo is in its infancy due to few studies with frequent viral kinetic data, lack of approved antiviral therapies, and limited insight into the timing of EBOV infection of cells and tissues throughout the body. Current in-host mathematical models simplify EBOV infection by assuming a single homogeneous compartment of infection. In particular, a recent modeling study assumed the liver as the largest solid organ targeted by EBOV infection and predicted that nearly all cells become refractory to infection within seven days of initial infection without antiviral treatment. We compared our observations of EBOV kinetics in multiple anatomic compartments and hepatocellular injury in a critically ill patient with Ebola virus disease (EVD) with this model’s predictions. We also explored the model’s predictions, with and without antiviral therapy, by recapitulating the model using published inputs and assumptions. Our findings highlight the challenges of modeling EBOV–host dynamics and therapeutic efficacy and emphasize the need for iterative interdisciplinary efforts to refine mathematical models that might advance understanding of EVD pathogenesis and treatment. MDPI 2020-01-16 /pmc/articles/PMC7019702/ /pubmed/31963118 http://dx.doi.org/10.3390/v12010106 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chertow, Daniel S. Shekhtman, Louis Lurie, Yoav Davey, Richard T. Heller, Theo Dahari, Harel Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment |
title | Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment |
title_full | Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment |
title_fullStr | Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment |
title_full_unstemmed | Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment |
title_short | Modeling Challenges of Ebola Virus–Host Dynamics during Infection and Treatment |
title_sort | modeling challenges of ebola virus–host dynamics during infection and treatment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019702/ https://www.ncbi.nlm.nih.gov/pubmed/31963118 http://dx.doi.org/10.3390/v12010106 |
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