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Quantitative analysis of viral persistence and transient viral load rebound from HIV clinical data.
Luo, Rutao; Piovoso, Michael J; Zurakowski, Ryan.
Affiliation
  • Luo R; Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA. rutaoluo@udel.edu
Article in En | MEDLINE | ID: mdl-22255114
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].
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / HIV / Viral Load Limits: Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2011 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / HIV / Viral Load Limits: Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2011 Document type: Article Affiliation country: United States Country of publication: United States