Literature DB >> 11742084

Quantification of intrinsic residual viral replication in treated HIV-infected patients.

C Fraser1, N M Ferguson, R M Anderson.   

Abstract

The intrinsic rate of viral replication in HIV-infected patients treated with antiretroviral combination therapy is estimated by using a mathematical model of viral dynamics. This intrinsic replication is found to be episodic, varying considerably in quantity between patients (even among those achieving long-term undetectable levels of viremia) and is always reduced by increasing the potency of the antiviral drug regimen. The analysis reveals that even in conditions of perfect patient adherence and drug penetration a substantial level of residual viral replication is expected. The rate of evolution in the viral quasispecies, and thus also the probability of new drug-resistant viral strains being created, is proportional to the total amount of residual viral replication. Under most circumstances, the viral population continues to turn over rapidly during therapy, albeit at a much reduced level.

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Year:  2001        PMID: 11742084      PMCID: PMC65001          DOI: 10.1073/pnas.261283598

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

1.  Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy.

Authors:  D Finzi; J Blankson; J D Siliciano; J B Margolick; K Chadwick; T Pierson; K Smith; J Lisziewicz; F Lori; C Flexner; T C Quinn; R E Chaisson; E Rosenberg; B Walker; S Gange; J Gallant; R F Siliciano
Journal:  Nat Med       Date:  1999-05       Impact factor: 53.440

2.  CD4-cell count in HIV-1-infected individuals remaining viraemic with highly active antiretroviral therapy (HAART). Swiss HIV Cohort Study.

Authors:  D Kaufmann; G Pantaleo; P Sudre; A Telenti
Journal:  Lancet       Date:  1998-03-07       Impact factor: 79.321

3.  Virus dynamics and drug therapy.

Authors:  S Bonhoeffer; R M May; G M Shaw; M A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-24       Impact factor: 11.205

4.  Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection.

Authors:  T W Chun; L Carruth; D Finzi; X Shen; J A DiGiuseppe; H Taylor; M Hermankova; K Chadwick; J Margolick; T C Quinn; Y H Kuo; R Brookmeyer; M A Zeiger; P Barditch-Crovo; R F Siliciano
Journal:  Nature       Date:  1997-05-08       Impact factor: 49.962

5.  Quantitation of HIV-1-specific cytotoxic T lymphocytes and plasma load of viral RNA.

Authors:  G S Ogg; X Jin; S Bonhoeffer; P R Dunbar; M A Nowak; S Monard; J P Segal; Y Cao; S L Rowland-Jones; V Cerundolo; A Hurley; M Markowitz; D D Ho; D F Nixon; A J McMichael
Journal:  Science       Date:  1998-03-27       Impact factor: 47.728

6.  Activation and cell cycle antigens in CD4+ and CD8+ T cells correlate with plasma human immunodeficiency virus (HIV-1) RNA level in HIV-1 infection.

Authors:  J M Orendi; A C Bloem; J C Borleffs; F J Wijnholds; N M de Vos; H S Nottet; M R Visser; H Snippe; J Verhoef; C A Boucher
Journal:  J Infect Dis       Date:  1998-11       Impact factor: 5.226

7.  Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection.

Authors:  D D Ho; A U Neumann; A S Perelson; W Chen; J M Leonard; M Markowitz
Journal:  Nature       Date:  1995-01-12       Impact factor: 49.962

8.  Prognosis in HIV-1 infection predicted by the quantity of virus in plasma.

Authors:  J W Mellors; C R Rinaldo; P Gupta; R M White; J A Todd; L A Kingsley
Journal:  Science       Date:  1996-05-24       Impact factor: 47.728

9.  Dramatic rise in plasma viremia after CD8(+) T cell depletion in simian immunodeficiency virus-infected macaques.

Authors:  X Jin; D E Bauer; S E Tuttleton; S Lewin; A Gettie; J Blanchard; C E Irwin; J T Safrit; J Mittler; L Weinberger; L G Kostrikis; L Zhang; A S Perelson; D D Ho
Journal:  J Exp Med       Date:  1999-03-15       Impact factor: 14.307

10.  Decay kinetics of human immunodeficiency virus-specific effector cytotoxic T lymphocytes after combination antiretroviral therapy.

Authors:  G S Ogg; X Jin; S Bonhoeffer; P Moss; M A Nowak; S Monard; J P Segal; Y Cao; S L Rowland-Jones; A Hurley; M Markowitz; D D Ho; A J McMichael; D F Nixon
Journal:  J Virol       Date:  1999-01       Impact factor: 5.103

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  9 in total

1.  Dynamics of HIV-1 recombination in its natural target cells.

Authors:  David N Levy; Grace M Aldrovandi; Olaf Kutsch; George M Shaw
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-09       Impact factor: 11.205

2.  HIV recombination: what is the impact on antiretroviral therapy?

Authors:  Christophe Fraser
Journal:  J R Soc Interface       Date:  2005-12-22       Impact factor: 4.118

Review 3.  The macrophage response to HIV-1: Intracellular control of X4 virus replication accompanied by activation of chemokine and cytokine synthesis.

Authors:  Iqbal H Chowdhury; Galina Bentsman; Wonkyu Choe; Mary Jane Potash; David J Volsky
Journal:  J Neurovirol       Date:  2002-12       Impact factor: 2.643

4.  Adherence to antiretroviral therapy and its impact on clinical outcome in HIV-infected patients.

Authors:  N M Ferguson; C A Donnelly; J Hooper; A C Ghani; C Fraser; L M Bartley; R A Rode; P Vernazza; D Lapins; S L Mayer; R M Anderson
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

5.  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

Review 6.  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

7.  Asymmetric division of activated latently infected cells may explain the decay kinetics of the HIV-1 latent reservoir and intermittent viral blips.

Authors:  Libin Rong; Alan S Perelson
Journal:  Math Biosci       Date:  2008-10-17       Impact factor: 2.144

8.  A stochastic model of latently infected cell reactivation and viral blip generation in treated HIV patients.

Authors:  Jessica M Conway; Daniel Coombs
Journal:  PLoS Comput Biol       Date:  2011-04-28       Impact factor: 4.475

9.  How to Use a Chemotherapeutic Agent When Resistance to It Threatens the Patient.

Authors:  Elsa Hansen; Robert J Woods; Andrew F Read
Journal:  PLoS Biol       Date:  2017-02-09       Impact factor: 8.029

  9 in total

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