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An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients

The possibility of HIV-1 eradication has been limited by the existence of latently infected cellular reservoirs. Studies to examine control of HIV latency and potential reactivation have been hindered by the small numbers of latently infected cells found in vivo. Major conceptual leaps have been fac...

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Autores principales: Spina, Celsa A., Anderson, Jenny, Archin, Nancie M., Bosque, Alberto, Chan, Jonathan, Famiglietti, Marylinda, Greene, Warner C., Kashuba, Angela, Lewin, Sharon R., Margolis, David M., Mau, Matthew, Ruelas, Debbie, Saleh, Suha, Shirakawa, Kotaro, Siliciano, Robert F., Singhania, Akul, Soto, Paula C., Terry, Valeri H., Verdin, Eric, Woelk, Christopher, Wooden, Stacey, Xing, Sifei, Planelles, Vicente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3873446/
https://www.ncbi.nlm.nih.gov/pubmed/24385908
http://dx.doi.org/10.1371/journal.ppat.1003834
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author Spina, Celsa A.
Anderson, Jenny
Archin, Nancie M.
Bosque, Alberto
Chan, Jonathan
Famiglietti, Marylinda
Greene, Warner C.
Kashuba, Angela
Lewin, Sharon R.
Margolis, David M.
Mau, Matthew
Ruelas, Debbie
Saleh, Suha
Shirakawa, Kotaro
Siliciano, Robert F.
Singhania, Akul
Soto, Paula C.
Terry, Valeri H.
Verdin, Eric
Woelk, Christopher
Wooden, Stacey
Xing, Sifei
Planelles, Vicente
author_facet Spina, Celsa A.
Anderson, Jenny
Archin, Nancie M.
Bosque, Alberto
Chan, Jonathan
Famiglietti, Marylinda
Greene, Warner C.
Kashuba, Angela
Lewin, Sharon R.
Margolis, David M.
Mau, Matthew
Ruelas, Debbie
Saleh, Suha
Shirakawa, Kotaro
Siliciano, Robert F.
Singhania, Akul
Soto, Paula C.
Terry, Valeri H.
Verdin, Eric
Woelk, Christopher
Wooden, Stacey
Xing, Sifei
Planelles, Vicente
author_sort Spina, Celsa A.
collection PubMed
description The possibility of HIV-1 eradication has been limited by the existence of latently infected cellular reservoirs. Studies to examine control of HIV latency and potential reactivation have been hindered by the small numbers of latently infected cells found in vivo. Major conceptual leaps have been facilitated by the use of latently infected T cell lines and primary cells. However, notable differences exist among cell model systems. Furthermore, screening efforts in specific cell models have identified drug candidates for “anti-latency” therapy, which often fail to reactivate HIV uniformly across different models. Therefore, the activity of a given drug candidate, demonstrated in a particular cellular model, cannot reliably predict its activity in other cell model systems or in infected patient cells, tested ex vivo. This situation represents a critical knowledge gap that adversely affects our ability to identify promising treatment compounds and hinders the advancement of drug testing into relevant animal models and clinical trials. To begin to understand the biological characteristics that are inherent to each HIV-1 latency model, we compared the response properties of five primary T cell models, four J-Lat cell models and those obtained with a viral outgrowth assay using patient-derived infected cells. A panel of thirteen stimuli that are known to reactivate HIV by defined mechanisms of action was selected and tested in parallel in all models. Our results indicate that no single in vitro cell model alone is able to capture accurately the ex vivo response characteristics of latently infected T cells from patients. Most cell models demonstrated that sensitivity to HIV reactivation was skewed toward or against specific drug classes. Protein kinase C agonists and PHA reactivated latent HIV uniformly across models, although drugs in most other classes did not.
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spelling pubmed-38734462014-01-02 An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients Spina, Celsa A. Anderson, Jenny Archin, Nancie M. Bosque, Alberto Chan, Jonathan Famiglietti, Marylinda Greene, Warner C. Kashuba, Angela Lewin, Sharon R. Margolis, David M. Mau, Matthew Ruelas, Debbie Saleh, Suha Shirakawa, Kotaro Siliciano, Robert F. Singhania, Akul Soto, Paula C. Terry, Valeri H. Verdin, Eric Woelk, Christopher Wooden, Stacey Xing, Sifei Planelles, Vicente PLoS Pathog Research Article The possibility of HIV-1 eradication has been limited by the existence of latently infected cellular reservoirs. Studies to examine control of HIV latency and potential reactivation have been hindered by the small numbers of latently infected cells found in vivo. Major conceptual leaps have been facilitated by the use of latently infected T cell lines and primary cells. However, notable differences exist among cell model systems. Furthermore, screening efforts in specific cell models have identified drug candidates for “anti-latency” therapy, which often fail to reactivate HIV uniformly across different models. Therefore, the activity of a given drug candidate, demonstrated in a particular cellular model, cannot reliably predict its activity in other cell model systems or in infected patient cells, tested ex vivo. This situation represents a critical knowledge gap that adversely affects our ability to identify promising treatment compounds and hinders the advancement of drug testing into relevant animal models and clinical trials. To begin to understand the biological characteristics that are inherent to each HIV-1 latency model, we compared the response properties of five primary T cell models, four J-Lat cell models and those obtained with a viral outgrowth assay using patient-derived infected cells. A panel of thirteen stimuli that are known to reactivate HIV by defined mechanisms of action was selected and tested in parallel in all models. Our results indicate that no single in vitro cell model alone is able to capture accurately the ex vivo response characteristics of latently infected T cells from patients. Most cell models demonstrated that sensitivity to HIV reactivation was skewed toward or against specific drug classes. Protein kinase C agonists and PHA reactivated latent HIV uniformly across models, although drugs in most other classes did not. Public Library of Science 2013-12-26 /pmc/articles/PMC3873446/ /pubmed/24385908 http://dx.doi.org/10.1371/journal.ppat.1003834 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Spina, Celsa A.
Anderson, Jenny
Archin, Nancie M.
Bosque, Alberto
Chan, Jonathan
Famiglietti, Marylinda
Greene, Warner C.
Kashuba, Angela
Lewin, Sharon R.
Margolis, David M.
Mau, Matthew
Ruelas, Debbie
Saleh, Suha
Shirakawa, Kotaro
Siliciano, Robert F.
Singhania, Akul
Soto, Paula C.
Terry, Valeri H.
Verdin, Eric
Woelk, Christopher
Wooden, Stacey
Xing, Sifei
Planelles, Vicente
An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients
title An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients
title_full An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients
title_fullStr An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients
title_full_unstemmed An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients
title_short An In-Depth Comparison of Latent HIV-1 Reactivation in Multiple Cell Model Systems and Resting CD4+ T Cells from Aviremic Patients
title_sort in-depth comparison of latent hiv-1 reactivation in multiple cell model systems and resting cd4+ t cells from aviremic patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3873446/
https://www.ncbi.nlm.nih.gov/pubmed/24385908
http://dx.doi.org/10.1371/journal.ppat.1003834
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