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Title: Viral and Latent Reservoir Persistence in HIV-1–Infected Patients on Therapy

Abstract

Despite many years of potent antiretroviral therapy, latently infected cells and low levels of plasma virus have been found to persist in HIV-infected patients. The factors influencing this persistence and their relative contributions have not been fully elucidated and remain controversial. Here, we address these issues by developing and employing a simple, but mechanistic viral dynamics model. The model has two novel features. First, it assumes that latently infected T cells can undergo bystander proliferation without transitioning into active viral production. Second, it assumes that the rate of latent cell activation decreases with time on antiretroviral therapy due to the activation and subsequent loss of latently infected cells specific for common antigens, leaving behind cells that are successively less frequently activated. Using the model, we examined the quantitative contributions of T cell bystander proliferation, latent cell activation, and ongoing viral replication to the stability of the latent reservoir and persisting low-level viremia. Not surprisingly, proliferation of latently infected cells helped maintain the latent reservoir in spite of loss of latent infected cells through activation and death, and affected viral dynamics to an extent that depended on the magnitude of latent cell activation. In the limit of zero latent cell activation,more » the latent cell pool and viral load became uncoupled. However, as the activation rate increased, the plasma viral load could be maintained without depleting the latent reservoir, even in the absence of viral replication. The influence of ongoing viral replication on the latent reservoir remained insignificant for drug efficacies above the ‘‘critical efficacy’’ irrespective of the activation rate. However, for lower drug efficacies viral replication enabled the stable maintenance of both the latent reservoir and the virus. Our model and analysis methods provide a quantitative and qualitative framework for probing how different viral and host factors contribute to the dynamics of the latent reservoir and the virus, offering new insights into the principal determinants of their persistence.« less

Authors:
 [1];  [1]
  1. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1627181
Grant/Contract Number:  
AC52-06NA25396; W-7405-ENG-36; AI28433; RR06555
Resource Type:
Accepted Manuscript
Journal Name:
PLoS Computational Biology (Online)
Additional Journal Information:
Journal Name: PLoS Computational Biology (Online); Journal Volume: 2; Journal Issue: 10; Journal ID: ISSN 1553-7358
Publisher:
Public Library of Science
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; viral replication; T-cells; viral load; viral persistence and latency; HIV-1; opportunistic infections; eigenvalues; blood plasma

Citation Formats

Kim, Hwijin, and Perelson, Alan S. Viral and Latent Reservoir Persistence in HIV-1–Infected Patients on Therapy. United States: N. p., 2006. Web. doi:10.1371/journal.pcbi.0020135.
Kim, Hwijin, & Perelson, Alan S. Viral and Latent Reservoir Persistence in HIV-1–Infected Patients on Therapy. United States. https://doi.org/10.1371/journal.pcbi.0020135
Kim, Hwijin, and Perelson, Alan S. Fri . "Viral and Latent Reservoir Persistence in HIV-1–Infected Patients on Therapy". United States. https://doi.org/10.1371/journal.pcbi.0020135. https://www.osti.gov/servlets/purl/1627181.
@article{osti_1627181,
title = {Viral and Latent Reservoir Persistence in HIV-1–Infected Patients on Therapy},
author = {Kim, Hwijin and Perelson, Alan S.},
abstractNote = {Despite many years of potent antiretroviral therapy, latently infected cells and low levels of plasma virus have been found to persist in HIV-infected patients. The factors influencing this persistence and their relative contributions have not been fully elucidated and remain controversial. Here, we address these issues by developing and employing a simple, but mechanistic viral dynamics model. The model has two novel features. First, it assumes that latently infected T cells can undergo bystander proliferation without transitioning into active viral production. Second, it assumes that the rate of latent cell activation decreases with time on antiretroviral therapy due to the activation and subsequent loss of latently infected cells specific for common antigens, leaving behind cells that are successively less frequently activated. Using the model, we examined the quantitative contributions of T cell bystander proliferation, latent cell activation, and ongoing viral replication to the stability of the latent reservoir and persisting low-level viremia. Not surprisingly, proliferation of latently infected cells helped maintain the latent reservoir in spite of loss of latent infected cells through activation and death, and affected viral dynamics to an extent that depended on the magnitude of latent cell activation. In the limit of zero latent cell activation, the latent cell pool and viral load became uncoupled. However, as the activation rate increased, the plasma viral load could be maintained without depleting the latent reservoir, even in the absence of viral replication. The influence of ongoing viral replication on the latent reservoir remained insignificant for drug efficacies above the ‘‘critical efficacy’’ irrespective of the activation rate. However, for lower drug efficacies viral replication enabled the stable maintenance of both the latent reservoir and the virus. Our model and analysis methods provide a quantitative and qualitative framework for probing how different viral and host factors contribute to the dynamics of the latent reservoir and the virus, offering new insights into the principal determinants of their persistence.},
doi = {10.1371/journal.pcbi.0020135},
journal = {PLoS Computational Biology (Online)},
number = 10,
volume = 2,
place = {United States},
year = {Fri Oct 13 00:00:00 EDT 2006},
month = {Fri Oct 13 00:00:00 EDT 2006}
}

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The transcription cofactor CRTC1 protects from aberrant hepatic lipid accumulation
journal, November 2016


Low-level HIV-1 replication and the dynamics of the resting CD4+T cell reservoir for HIV-1 in the setting of HAART
journal, January 2008

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Modeling the within-host dynamics of HIV infection
journal, September 2013


Unintegrated HIV-1 provides an inducible and functional reservoir in untreated and highly active antiretroviral therapy-treated patients
journal, January 2007

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Molecular control of HIV-1 postintegration latency: implications for the development of new therapeutic strategies
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An RNAi in silico approach to find an optimal shRNA cocktail against HIV-1
journal, December 2010

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Viral dynamics of an HIV model with latent infection incorporating antiretroviral therapy
journal, August 2016


Recombination Enhances HIV-1 Envelope Diversity by Facilitating the Survival of Latent Genomic Fragments in the Plasma Virus Population
journal, December 2015

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Modeling the Dynamics and Migratory Pathways of Virus-Specific Antibody-Secreting Cell Populations in Primary Influenza Infection
journal, August 2014