Literature DB >> 22255114

Quantitative analysis of viral persistence and transient viral load rebound from HIV clinical data.

Rutao Luo1, Michael J Piovoso, Ryan Zurakowski.   

Abstract

Highly active antiretroviral therapy (HAART) suppresses HIV RNA viral load below the limit of detection for many patients. However, clinical data demonstrates that the HIV virus is not eradicated by HAART, even in patients who have had no detectable virus for 7 years [1]. One possible reason is that a stable resting latent reservoir with a long half-life exists in resting memory CD4(+)T cells [2]. In this paper, we propose a mathematical model with a constant contribution of a stable latent reservoir and identified this constant by using one patient's data from AutoVac HAART interruption study [3]. Many patients also have transient rebounds of plasma viral RNA (viral blips) under otherwise successful control of the virus by HAART. Activation of latently infected cells can explain these transient rebounds of viral load. Little quantitative analysis about the activation of reservoir has been done based on any clinical experiment data. Here, we model the activation dynamics of the reservoir by a time-independent activation rate and estimate this rate by using the clinical data from the AutoVac HAART interruption study [3].

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Year:  2011        PMID: 22255114      PMCID: PMC3462347          DOI: 10.1109/IEMBS.2011.6090599

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  19 in total

1.  Characterization of chemokine receptor utilization of viruses in the latent reservoir for human immunodeficiency virus type 1.

Authors:  T Pierson; T L Hoffman; J Blankson; D Finzi; K Chadwick; J B Margolick; C Buck; J D Siliciano; R W Doms; R F Siliciano
Journal:  J Virol       Date:  2000-09       Impact factor: 5.103

Review 2.  Biomarkers of HIV replication.

Authors:  Janet D Siliciano; Robert F Siliciano
Journal:  Curr Opin HIV AIDS       Date:  2010-11       Impact factor: 4.283

3.  Parameter identifiability and estimation of HIV/AIDS dynamic models.

Authors:  Hulin Wu; Haihong Zhu; Hongyu Miao; Alan S Perelson
Journal:  Bull Math Biol       Date:  2008-02-05       Impact factor: 1.758

4.  Examples of testing global identifiability of biological and biomedical models with the DAISY software.

Authors:  Maria Pia Saccomani; Stefania Audoly; Giuseppina Bellu; Leontina D'Angiò
Journal:  Comput Biol Med       Date:  2010-02-24       Impact factor: 4.589

Review 5.  Targeting viral reservoirs: ability of antiretroviral therapy to stop viral replication.

Authors:  Frank Maldarelli
Journal:  Curr Opin HIV AIDS       Date:  2011-01       Impact factor: 4.283

6.  Modeling plasma virus concentration during primary HIV infection.

Authors:  M A Stafford; L Corey; Y Cao; E S Daar; D D Ho; A S Perelson
Journal:  J Theor Biol       Date:  2000-04-07       Impact factor: 2.691

Review 7.  Can HIV infection be eradicated through use of potent antiviral agents?

Authors:  Lina Josefsson; Viktor Dahl; Sarah Palmer
Journal:  Curr Opin Infect Dis       Date:  2010-12       Impact factor: 4.915

Review 8.  Modeling HIV persistence, the latent reservoir, and viral blips.

Authors:  Libin Rong; Alan S Perelson
Journal:  J Theor Biol       Date:  2009-06-17       Impact factor: 2.691

9.  HIV model parameter estimates from interruption trial data including drug efficacy and reservoir dynamics.

Authors:  Rutao Luo; Michael J Piovoso; Javier Martinez-Picado; Ryan Zurakowski
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

10.  Modeling latently infected cell activation: viral and latent reservoir persistence, and viral blips in HIV-infected patients on potent therapy.

Authors:  Libin Rong; Alan S Perelson
Journal:  PLoS Comput Biol       Date:  2009-10-16       Impact factor: 4.475

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