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Apoptosis in virus infection dynamics models
In this paper, on the basis of the simplified two-dimensional virus infection dynamics model, we propose two extended models that aim at incorporating the influence of activation-induced apoptosis which directly affects the population of uninfected cells. The theoretical analysis shows that increasi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220821/ https://www.ncbi.nlm.nih.gov/pubmed/24963975 http://dx.doi.org/10.1080/17513758.2014.895433 |
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author | Fan, Ruili Dong, Yueping Huang, Gang Takeuchi, Yasuhiro |
author_facet | Fan, Ruili Dong, Yueping Huang, Gang Takeuchi, Yasuhiro |
author_sort | Fan, Ruili |
collection | PubMed |
description | In this paper, on the basis of the simplified two-dimensional virus infection dynamics model, we propose two extended models that aim at incorporating the influence of activation-induced apoptosis which directly affects the population of uninfected cells. The theoretical analysis shows that increasing apoptosis plays a positive role in control of virus infection. However, after being included the third population of cytotoxic T lymphocytes immune response in HIV-infected patients, it shows that depending on intensity of the apoptosis of healthy cells, the apoptosis can either promote or comfort the long-term evolution of HIV infection. Further, the discrete-time delay of apoptosis is incorporated into the pervious model. Stability switching occurs as the time delay in apoptosis increases. Numerical simulations are performed to illustrate the theoretical results and display the different impacts of a delay in apoptosis. |
format | Online Article Text |
id | pubmed-4220821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-42208212014-11-17 Apoptosis in virus infection dynamics models Fan, Ruili Dong, Yueping Huang, Gang Takeuchi, Yasuhiro J Biol Dyn Original Articles In this paper, on the basis of the simplified two-dimensional virus infection dynamics model, we propose two extended models that aim at incorporating the influence of activation-induced apoptosis which directly affects the population of uninfected cells. The theoretical analysis shows that increasing apoptosis plays a positive role in control of virus infection. However, after being included the third population of cytotoxic T lymphocytes immune response in HIV-infected patients, it shows that depending on intensity of the apoptosis of healthy cells, the apoptosis can either promote or comfort the long-term evolution of HIV infection. Further, the discrete-time delay of apoptosis is incorporated into the pervious model. Stability switching occurs as the time delay in apoptosis increases. Numerical simulations are performed to illustrate the theoretical results and display the different impacts of a delay in apoptosis. Taylor & Francis 2014-01-01 2014-03-13 /pmc/articles/PMC4220821/ /pubmed/24963975 http://dx.doi.org/10.1080/17513758.2014.895433 Text en © 2014 The Author(s). Published by Taylor & Francis. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted. |
spellingShingle | Original Articles Fan, Ruili Dong, Yueping Huang, Gang Takeuchi, Yasuhiro Apoptosis in virus infection dynamics models |
title | Apoptosis in virus infection dynamics models |
title_full | Apoptosis in virus infection dynamics models |
title_fullStr | Apoptosis in virus infection dynamics models |
title_full_unstemmed | Apoptosis in virus infection dynamics models |
title_short | Apoptosis in virus infection dynamics models |
title_sort | apoptosis in virus infection dynamics models |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220821/ https://www.ncbi.nlm.nih.gov/pubmed/24963975 http://dx.doi.org/10.1080/17513758.2014.895433 |
work_keys_str_mv | AT fanruili apoptosisinvirusinfectiondynamicsmodels AT dongyueping apoptosisinvirusinfectiondynamicsmodels AT huanggang apoptosisinvirusinfectiondynamicsmodels AT takeuchiyasuhiro apoptosisinvirusinfectiondynamicsmodels |