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A theoretical model of the West Nile Virus survival data

BACKGROUND: In this work, we develop a theoretical model that explains the survival data in West Nile Virus infection. RESULTS: We build a model based on three cell populations in an infected host; the collateral damage cells, the infected dividing cell, and the infected non-dividing cells. T cell-m...

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Detalles Bibliográficos
Autores principales: Peterson, James K., Kesson, Alison M., King, Nicholas J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499102/
https://www.ncbi.nlm.nih.gov/pubmed/28681706
http://dx.doi.org/10.1186/s12865-017-0206-z
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author Peterson, James K.
Kesson, Alison M.
King, Nicholas J. C.
author_facet Peterson, James K.
Kesson, Alison M.
King, Nicholas J. C.
author_sort Peterson, James K.
collection PubMed
description BACKGROUND: In this work, we develop a theoretical model that explains the survival data in West Nile Virus infection. RESULTS: We build a model based on three cell populations in an infected host; the collateral damage cells, the infected dividing cell, and the infected non-dividing cells. T cell-mediated lysis of each of these populations is dependent on the level of MHC-1 upregulation, which is different in the two infected cell populations, interferon-gamma and free virus levels. CONCLUSIONS: The model allows us to plot a measure of host health versus time for a range of initial viral doses and from that infer the dependence of minimal health versus viral dose. This inferred functional relationship between the minimal host health and viral dose is very similar to the data that has been collected for WNV survival curves under experimental conditions.
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spelling pubmed-54991022017-07-10 A theoretical model of the West Nile Virus survival data Peterson, James K. Kesson, Alison M. King, Nicholas J. C. BMC Immunol Research BACKGROUND: In this work, we develop a theoretical model that explains the survival data in West Nile Virus infection. RESULTS: We build a model based on three cell populations in an infected host; the collateral damage cells, the infected dividing cell, and the infected non-dividing cells. T cell-mediated lysis of each of these populations is dependent on the level of MHC-1 upregulation, which is different in the two infected cell populations, interferon-gamma and free virus levels. CONCLUSIONS: The model allows us to plot a measure of host health versus time for a range of initial viral doses and from that infer the dependence of minimal health versus viral dose. This inferred functional relationship between the minimal host health and viral dose is very similar to the data that has been collected for WNV survival curves under experimental conditions. BioMed Central 2017-06-21 /pmc/articles/PMC5499102/ /pubmed/28681706 http://dx.doi.org/10.1186/s12865-017-0206-z Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Peterson, James K.
Kesson, Alison M.
King, Nicholas J. C.
A theoretical model of the West Nile Virus survival data
title A theoretical model of the West Nile Virus survival data
title_full A theoretical model of the West Nile Virus survival data
title_fullStr A theoretical model of the West Nile Virus survival data
title_full_unstemmed A theoretical model of the West Nile Virus survival data
title_short A theoretical model of the West Nile Virus survival data
title_sort theoretical model of the west nile virus survival data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499102/
https://www.ncbi.nlm.nih.gov/pubmed/28681706
http://dx.doi.org/10.1186/s12865-017-0206-z
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