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Title: Post-treatment control of HIV infection

Journal Article · · Proceedings of the National Academy of Sciences of the United States of America
 [1];  [2]
  1. The Pennsylvania State Univ., University Park, PA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Antiretroviral therapy (ART) for HIV is not a cure. However, recent studies suggest that ART, initiated early during primary infection, may induce post-treatment control (PTC) of HIV infection with HIV RNA maintained at <50 copies per mL. We investigate the hypothesis that ART initiated early during primary infection permits PTC by limiting the size of the latent reservoir, which, if small enough at treatment termination, may allow the adaptive immune response to prevent viral rebound (VR) and control infection. We use a mathematical model of within host HIV dynamics to capture interactions among target cells, productively infected cells, latently infected cells, virus, and cytotoxic T lymphocytes (CTLs). Analysis of our model reveals a range in CTL response strengths where a patient may show either VR or PTC, depending on the size of the latent reservoir at treatment termination. Below this range, patients will always rebound, whereas above this range, patients are predicted to behave like elite controllers. As a result, using data on latent reservoir sizes in patients treated during primary infection, we also predict population-level VR times for non-controllers consistent with observations.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
R01-AI028433; UM1-AI100645; AC52-06NA25396
OSTI ID:
1233166
Report Number(s):
LA-UR-14-27986
Journal Information:
Proceedings of the National Academy of Sciences of the United States of America, Vol. 112, Issue 17; ISSN 0027-8424
Publisher:
National Academy of Sciences, Washington, DC (United States)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 125 works
Citation information provided by
Web of Science

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  • Okulicz, Jason F.; Marconi, Vincent C.; Landrum, Michael L.
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Stochastic Dynamics of the Latently Infected Cell Reservoir During HIV Infection journal October 2018
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Ongoing Clinical Trials of Human Immunodeficiency Virus Latency-Reversing and Immunomodulatory Agents journal January 2016
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Immunological Paradigms, Mechanisms, and Models: Conceptual Understanding Is a Prerequisite to Effective Modeling journal November 2019
Real-Time Predictions of Reservoir Size and Rebound Time during Antiretroviral Therapy Interruption Trials for HIV text January 2016
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HIV-1 proviral landscapes distinguish posttreatment controllers from noncontrollers text January 2018
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Latent HIV dynamics and implications for sustained viral suppression in the absence of antiretroviral therapy journal April 2018
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Mathematical Analysis of Viral Replication Dynamics and Antiviral Treatment Strategies: From Basic Models to Age-Based Multi-Scale Modeling journal July 2018
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Thresholds and bistability in HIV infection models with oxidative stress preprint January 2018