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Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations

Combination antiretroviral therapy (cART) effectively suppresses viral load in HIV‐infected individuals, but it is not a cure. Bone marrow transplants using HIV‐resistant stem cells have renewed hope that cure is achievable but key questions remain e.g., what percentage of stem cells must be HIV‐res...

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Detalles Bibliográficos
Autores principales: Hosseini, I, Gabhann, F Mac
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761230/
https://www.ncbi.nlm.nih.gov/pubmed/26933519
http://dx.doi.org/10.1002/psp4.12059
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author Hosseini, I
Gabhann, F Mac
author_facet Hosseini, I
Gabhann, F Mac
author_sort Hosseini, I
collection PubMed
description Combination antiretroviral therapy (cART) effectively suppresses viral load in HIV‐infected individuals, but it is not a cure. Bone marrow transplants using HIV‐resistant stem cells have renewed hope that cure is achievable but key questions remain e.g., what percentage of stem cells must be HIV‐resistant to achieve cure?. As few patients have undergone transplants, we built a mechanistic model of HIV/AIDS to approach this problem. The model includes major players of infection, reproduces the complete course of the disease, and simulates crucial components of clinical treatments, such as cART, irradiation, host recovery, gene augmentation, and donor chimerism. Using clinical data from 172 cART‐naïve HIV‐infected individuals, we created virtual populations to predict performance of CCR5‐deficient stem‐cell therapies and explore interpatient variability. We validated our model against a published clinical study of CCR5‐modified T‐cell therapy. Our model predicted that donor chimerism must exceed 75% to achieve 90% probability of cure across patient populations.
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spelling pubmed-47612302016-03-01 Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations Hosseini, I Gabhann, F Mac CPT Pharmacometrics Syst Pharmacol Original Articles Combination antiretroviral therapy (cART) effectively suppresses viral load in HIV‐infected individuals, but it is not a cure. Bone marrow transplants using HIV‐resistant stem cells have renewed hope that cure is achievable but key questions remain e.g., what percentage of stem cells must be HIV‐resistant to achieve cure?. As few patients have undergone transplants, we built a mechanistic model of HIV/AIDS to approach this problem. The model includes major players of infection, reproduces the complete course of the disease, and simulates crucial components of clinical treatments, such as cART, irradiation, host recovery, gene augmentation, and donor chimerism. Using clinical data from 172 cART‐naïve HIV‐infected individuals, we created virtual populations to predict performance of CCR5‐deficient stem‐cell therapies and explore interpatient variability. We validated our model against a published clinical study of CCR5‐modified T‐cell therapy. Our model predicted that donor chimerism must exceed 75% to achieve 90% probability of cure across patient populations. John Wiley and Sons Inc. 2016-02-16 2016-02 /pmc/articles/PMC4761230/ /pubmed/26933519 http://dx.doi.org/10.1002/psp4.12059 Text en © 2016 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Hosseini, I
Gabhann, F Mac
Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations
title Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations
title_full Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations
title_fullStr Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations
title_full_unstemmed Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations
title_short Mechanistic Models Predict Efficacy of CCR5‐Deficient Stem Cell Transplants in HIV Patient Populations
title_sort mechanistic models predict efficacy of ccr5‐deficient stem cell transplants in hiv patient populations
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761230/
https://www.ncbi.nlm.nih.gov/pubmed/26933519
http://dx.doi.org/10.1002/psp4.12059
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