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Modeling HIV persistence and cure studies

PURPOSE OF REVIEW: To provide a summary of the contributions of mathematical modeling to understanding of HIV persistence during antiretroviral therapy. RECENT FINDINGS: Although HIV persistence during therapy could be caused by continual viral replication or slow-decaying latent infection, most evi...

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Autor principal: Hill, Alison L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112843/
https://www.ncbi.nlm.nih.gov/pubmed/29916846
http://dx.doi.org/10.1097/COH.0000000000000490
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author Hill, Alison L.
author_facet Hill, Alison L.
author_sort Hill, Alison L.
collection PubMed
description PURPOSE OF REVIEW: To provide a summary of the contributions of mathematical modeling to understanding of HIV persistence during antiretroviral therapy. RECENT FINDINGS: Although HIV persistence during therapy could be caused by continual viral replication or slow-decaying latent infection, most evidence points toward the latter mechanism. The latent reservoir is maintained by a balance of cell death, proliferation, and reactivation, and new methods to estimate the relative contributions of these rates use a wide range of experimental data. This has led to new quantitative predictions about the potential benefit of therapies such as latency-reversing agents or antiproliferative drugs. SUMMARY: Results of these mathematical modeling studies can be used to design and interpret future trials of new therapies targeting HIV persistence.
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spelling pubmed-61128432018-09-07 Modeling HIV persistence and cure studies Hill, Alison L. Curr Opin HIV AIDS PROGRESS IN ACHIEVING LONG-TERM HIV REMISSION: Edited by Jean-Daniel Lelièvre and Timothy J. Henrich PURPOSE OF REVIEW: To provide a summary of the contributions of mathematical modeling to understanding of HIV persistence during antiretroviral therapy. RECENT FINDINGS: Although HIV persistence during therapy could be caused by continual viral replication or slow-decaying latent infection, most evidence points toward the latter mechanism. The latent reservoir is maintained by a balance of cell death, proliferation, and reactivation, and new methods to estimate the relative contributions of these rates use a wide range of experimental data. This has led to new quantitative predictions about the potential benefit of therapies such as latency-reversing agents or antiproliferative drugs. SUMMARY: Results of these mathematical modeling studies can be used to design and interpret future trials of new therapies targeting HIV persistence. Lippincott Williams & Wilkins 2018-09 2018-05-08 /pmc/articles/PMC6112843/ /pubmed/29916846 http://dx.doi.org/10.1097/COH.0000000000000490 Text en Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle PROGRESS IN ACHIEVING LONG-TERM HIV REMISSION: Edited by Jean-Daniel Lelièvre and Timothy J. Henrich
Hill, Alison L.
Modeling HIV persistence and cure studies
title Modeling HIV persistence and cure studies
title_full Modeling HIV persistence and cure studies
title_fullStr Modeling HIV persistence and cure studies
title_full_unstemmed Modeling HIV persistence and cure studies
title_short Modeling HIV persistence and cure studies
title_sort modeling hiv persistence and cure studies
topic PROGRESS IN ACHIEVING LONG-TERM HIV REMISSION: Edited by Jean-Daniel Lelièvre and Timothy J. Henrich
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112843/
https://www.ncbi.nlm.nih.gov/pubmed/29916846
http://dx.doi.org/10.1097/COH.0000000000000490
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