Cargando…

Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses

Influenza virus infection remains a public health problem worldwide. The mechanisms underlying viral control during an uncomplicated influenza virus infection are not fully understood. Here, we developed a mathematical model including both innate and adaptive immune responses to study the within-hos...

Descripción completa

Detalles Bibliográficos
Autores principales: Pawelek, Kasia A., Huynh, Giao T., Quinlivan, Michelle, Cullinane, Ann, Rong, Libin, Perelson, Alan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386161/
https://www.ncbi.nlm.nih.gov/pubmed/22761567
http://dx.doi.org/10.1371/journal.pcbi.1002588
_version_ 1782236936933474304
author Pawelek, Kasia A.
Huynh, Giao T.
Quinlivan, Michelle
Cullinane, Ann
Rong, Libin
Perelson, Alan S.
author_facet Pawelek, Kasia A.
Huynh, Giao T.
Quinlivan, Michelle
Cullinane, Ann
Rong, Libin
Perelson, Alan S.
author_sort Pawelek, Kasia A.
collection PubMed
description Influenza virus infection remains a public health problem worldwide. The mechanisms underlying viral control during an uncomplicated influenza virus infection are not fully understood. Here, we developed a mathematical model including both innate and adaptive immune responses to study the within-host dynamics of equine influenza virus infection in horses. By comparing modeling predictions with both interferon and viral kinetic data, we examined the relative roles of target cell availability, and innate and adaptive immune responses in controlling the virus. Our results show that the rapid and substantial viral decline (about 2 to 4 logs within 1 day) after the peak can be explained by the killing of infected cells mediated by interferon activated cells, such as natural killer cells, during the innate immune response. After the viral load declines to a lower level, the loss of interferon-induced antiviral effect and an increased availability of target cells due to loss of the antiviral state can explain the observed short phase of viral plateau in which the viral level remains unchanged or even experiences a minor second peak in some animals. An adaptive immune response is needed in our model to explain the eventual viral clearance. This study provides a quantitative understanding of the biological factors that can explain the viral and interferon kinetics during a typical influenza virus infection.
format Online
Article
Text
id pubmed-3386161
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-33861612012-07-03 Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses Pawelek, Kasia A. Huynh, Giao T. Quinlivan, Michelle Cullinane, Ann Rong, Libin Perelson, Alan S. PLoS Comput Biol Research Article Influenza virus infection remains a public health problem worldwide. The mechanisms underlying viral control during an uncomplicated influenza virus infection are not fully understood. Here, we developed a mathematical model including both innate and adaptive immune responses to study the within-host dynamics of equine influenza virus infection in horses. By comparing modeling predictions with both interferon and viral kinetic data, we examined the relative roles of target cell availability, and innate and adaptive immune responses in controlling the virus. Our results show that the rapid and substantial viral decline (about 2 to 4 logs within 1 day) after the peak can be explained by the killing of infected cells mediated by interferon activated cells, such as natural killer cells, during the innate immune response. After the viral load declines to a lower level, the loss of interferon-induced antiviral effect and an increased availability of target cells due to loss of the antiviral state can explain the observed short phase of viral plateau in which the viral level remains unchanged or even experiences a minor second peak in some animals. An adaptive immune response is needed in our model to explain the eventual viral clearance. This study provides a quantitative understanding of the biological factors that can explain the viral and interferon kinetics during a typical influenza virus infection. Public Library of Science 2012-06-28 /pmc/articles/PMC3386161/ /pubmed/22761567 http://dx.doi.org/10.1371/journal.pcbi.1002588 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Pawelek, Kasia A.
Huynh, Giao T.
Quinlivan, Michelle
Cullinane, Ann
Rong, Libin
Perelson, Alan S.
Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses
title Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses
title_full Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses
title_fullStr Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses
title_full_unstemmed Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses
title_short Modeling Within-Host Dynamics of Influenza Virus Infection Including Immune Responses
title_sort modeling within-host dynamics of influenza virus infection including immune responses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386161/
https://www.ncbi.nlm.nih.gov/pubmed/22761567
http://dx.doi.org/10.1371/journal.pcbi.1002588
work_keys_str_mv AT pawelekkasiaa modelingwithinhostdynamicsofinfluenzavirusinfectionincludingimmuneresponses
AT huynhgiaot modelingwithinhostdynamicsofinfluenzavirusinfectionincludingimmuneresponses
AT quinlivanmichelle modelingwithinhostdynamicsofinfluenzavirusinfectionincludingimmuneresponses
AT cullinaneann modelingwithinhostdynamicsofinfluenzavirusinfectionincludingimmuneresponses
AT ronglibin modelingwithinhostdynamicsofinfluenzavirusinfectionincludingimmuneresponses
AT perelsonalans modelingwithinhostdynamicsofinfluenzavirusinfectionincludingimmuneresponses