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Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics
Drugs of abuse, such as opiates, have been widely associated with enhancing HIV replication, accelerating disease progression and diminishing host-immune responses, thereby making it harder to effectively manage HIV infection. It is thus important to study the effects of drugs of abuse on HIV-infect...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443976/ https://www.ncbi.nlm.nih.gov/pubmed/30931971 http://dx.doi.org/10.1038/s41598-019-41751-8 |
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author | Mutua, Jones M. Perelson, Alan S. Kumar, Anil Vaidya, Naveen K. |
author_facet | Mutua, Jones M. Perelson, Alan S. Kumar, Anil Vaidya, Naveen K. |
author_sort | Mutua, Jones M. |
collection | PubMed |
description | Drugs of abuse, such as opiates, have been widely associated with enhancing HIV replication, accelerating disease progression and diminishing host-immune responses, thereby making it harder to effectively manage HIV infection. It is thus important to study the effects of drugs of abuse on HIV-infection and immune responses. Here, we develop mathematical models that incorporate the effects of morphine-altered antibody responses on HIV/SIV dynamics. Based on fitting the model to experimental data from simian immunodeficiency virus (SIV) infections in control and morphine-addicted macaques, we found that two of the most significant effects of virus specific antibodies are neutralizing viral particles and enhancing viral clearance. Using our model, we quantified how morphine alters virus-specific antibody responses, and how this alteration affects the key components of virus dynamics such as infection rate, virus clearance, viral load, CD4(+) T cell count, and CD4(+) T cell loss in SIV-infected macaques under conditioning with morphine. We found that in a subpopulation of SIV-infected morphine addicted macaques, the presence of drugs of abuse may cause significantly diminished antibody responses, resulting in more severe infection with increased SIV infectivity, a decreased viral clearance rate, increased viral load, and higher CD4(+) T cell loss. |
format | Online Article Text |
id | pubmed-6443976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64439762019-04-05 Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics Mutua, Jones M. Perelson, Alan S. Kumar, Anil Vaidya, Naveen K. Sci Rep Article Drugs of abuse, such as opiates, have been widely associated with enhancing HIV replication, accelerating disease progression and diminishing host-immune responses, thereby making it harder to effectively manage HIV infection. It is thus important to study the effects of drugs of abuse on HIV-infection and immune responses. Here, we develop mathematical models that incorporate the effects of morphine-altered antibody responses on HIV/SIV dynamics. Based on fitting the model to experimental data from simian immunodeficiency virus (SIV) infections in control and morphine-addicted macaques, we found that two of the most significant effects of virus specific antibodies are neutralizing viral particles and enhancing viral clearance. Using our model, we quantified how morphine alters virus-specific antibody responses, and how this alteration affects the key components of virus dynamics such as infection rate, virus clearance, viral load, CD4(+) T cell count, and CD4(+) T cell loss in SIV-infected macaques under conditioning with morphine. We found that in a subpopulation of SIV-infected morphine addicted macaques, the presence of drugs of abuse may cause significantly diminished antibody responses, resulting in more severe infection with increased SIV infectivity, a decreased viral clearance rate, increased viral load, and higher CD4(+) T cell loss. Nature Publishing Group UK 2019-04-01 /pmc/articles/PMC6443976/ /pubmed/30931971 http://dx.doi.org/10.1038/s41598-019-41751-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mutua, Jones M. Perelson, Alan S. Kumar, Anil Vaidya, Naveen K. Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics |
title | Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics |
title_full | Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics |
title_fullStr | Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics |
title_full_unstemmed | Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics |
title_short | Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics |
title_sort | modeling the effects of morphine-altered virus specific antibody responses on hiv/siv dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6443976/ https://www.ncbi.nlm.nih.gov/pubmed/30931971 http://dx.doi.org/10.1038/s41598-019-41751-8 |
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