Literature DB >> 11868336

HIV-1 infection and low steady state viral loads.

Duncan S Callaway1, Alan S Perelson.   

Abstract

Highly active antiretroviral therapy (HAART) reduces the viral burden in human immunodeficiency virus type 1 (HIV-1) infected patients below the threshold of detectability. However, substantial evidence indicates that viral replication persists in these individuals. In this paper we examine the ability of several biologically motivated models of HIV-1 dynamics to explain sustained low viral loads. At or near drug efficacies that result in steady state viral loads below detectability, most models are extremely sensitive to small changes in drug efficacy. We argue that if these models reflect reality many patients should have cleared the virus, contrary to observation. We find that a model in which the infected cell death rate is dependent on the infected cell density does not suffer this shortcoming. The shortcoming is also overcome in two more conventional models that include small populations of cells in which the drug is less effective than in the main population, suggesting that difficulties with drug penetrance and maintenance of effective intracellular drug concentrations in all cells susceptible to HIV infection may underlie ongoing viral replication.

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Year:  2002        PMID: 11868336     DOI: 10.1006/bulm.2001.0266

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  47 in total

1.  Decelerating decay of latently infected cells during prolonged therapy for human immunodeficiency virus type 1 infection.

Authors:  Viktor Müller; Javier Flavio Vigueras-Gómez; Sebastian Bonhoeffer
Journal:  J Virol       Date:  2002-09       Impact factor: 5.103

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3.  A parameter sensitivity methodology in the context of HIV delay equation models.

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Journal:  J Math Biol       Date:  2004-12-20       Impact factor: 2.259

4.  Modeling within-host HIV-1 dynamics and the evolution of drug resistance: trade-offs between viral enzyme function and drug susceptibility.

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Journal:  J Theor Biol       Date:  2007-04-19       Impact factor: 2.691

5.  Viral dynamics model with CTL immune response incorporating antiretroviral therapy.

Authors:  Yan Wang; Yicang Zhou; Fred Brauer; Jane M Heffernan
Journal:  J Math Biol       Date:  2012-08-29       Impact factor: 2.259

6.  A Bayesian Approach in Differential Equation Dynamic Models Incorporating Clinical Factors and Covariates.

Authors:  Yangxin Huang
Journal:  J Appl Stat       Date:  2010-02-01       Impact factor: 1.404

7.  Hepatitis C Viral Kinetics in Special Populations.

Authors:  Harel Dahari; Jennifer E Layden-Almer; Alan S Perelson; Thomas J Layden
Journal:  Curr Hepat Rep       Date:  2008

8.  Modelling HIV immune response and validation with clinical data.

Authors:  H T Banks; M Davidian; Shuhua Hu; Grace M Kepler; E S Rosenberg
Journal:  J Biol Dyn       Date:  2008-10       Impact factor: 2.179

9.  Transient viremia, plasma viral load, and reservoir replenishment in HIV-infected patients on antiretroviral therapy.

Authors:  Laura E Jones; Alan S Perelson
Journal:  J Acquir Immune Defic Syndr       Date:  2007-08-15       Impact factor: 3.731

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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