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Modelling the HIV persistence through the network of lymphocyte recirculation in vivo
Human Immunodeficiency Virus (HIV) is able to persist in cellular and/or anatomical viral reservoirs, despite the effective inhibition of virus replication by the antiretroviral therapy (ART). Here we develop a mathematical model to gain some insights of HIV persistence relevant to the lymphocyte re...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963313/ https://www.ncbi.nlm.nih.gov/pubmed/29928731 http://dx.doi.org/10.1016/j.idm.2017.02.003 |
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author | Huang, Ying Zhang, Chen Wu, Jianhong Lou, Jie |
author_facet | Huang, Ying Zhang, Chen Wu, Jianhong Lou, Jie |
author_sort | Huang, Ying |
collection | PubMed |
description | Human Immunodeficiency Virus (HIV) is able to persist in cellular and/or anatomical viral reservoirs, despite the effective inhibition of virus replication by the antiretroviral therapy (ART). Here we develop a mathematical model to gain some insights of HIV persistence relevant to the lymphocyte recirculation network of immune system and the central nervous system (CNS). Our simulations and analyses illustrate the role of the CNS as a virus reservoir to prevent antiretroviral drugs from penetrating the blood-brain (or blood-testis) barrier, and we examine the long-term impact of this reservoir on the transmissibility of an infected individual. We observe numerically that level of HIV in peripheral blood may not accurately reflect the true mechanisms occurring within other organs. |
format | Online Article Text |
id | pubmed-5963313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-59633132018-06-20 Modelling the HIV persistence through the network of lymphocyte recirculation in vivo Huang, Ying Zhang, Chen Wu, Jianhong Lou, Jie Infect Dis Model Article Human Immunodeficiency Virus (HIV) is able to persist in cellular and/or anatomical viral reservoirs, despite the effective inhibition of virus replication by the antiretroviral therapy (ART). Here we develop a mathematical model to gain some insights of HIV persistence relevant to the lymphocyte recirculation network of immune system and the central nervous system (CNS). Our simulations and analyses illustrate the role of the CNS as a virus reservoir to prevent antiretroviral drugs from penetrating the blood-brain (or blood-testis) barrier, and we examine the long-term impact of this reservoir on the transmissibility of an infected individual. We observe numerically that level of HIV in peripheral blood may not accurately reflect the true mechanisms occurring within other organs. KeAi Publishing 2017-02-28 /pmc/articles/PMC5963313/ /pubmed/29928731 http://dx.doi.org/10.1016/j.idm.2017.02.003 Text en © 2017 KeAi Communications Co., Ltd. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Huang, Ying Zhang, Chen Wu, Jianhong Lou, Jie Modelling the HIV persistence through the network of lymphocyte recirculation in vivo |
title | Modelling the HIV persistence through the network of lymphocyte recirculation in vivo |
title_full | Modelling the HIV persistence through the network of lymphocyte recirculation in vivo |
title_fullStr | Modelling the HIV persistence through the network of lymphocyte recirculation in vivo |
title_full_unstemmed | Modelling the HIV persistence through the network of lymphocyte recirculation in vivo |
title_short | Modelling the HIV persistence through the network of lymphocyte recirculation in vivo |
title_sort | modelling the hiv persistence through the network of lymphocyte recirculation in vivo |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963313/ https://www.ncbi.nlm.nih.gov/pubmed/29928731 http://dx.doi.org/10.1016/j.idm.2017.02.003 |
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