Literature DB >> 19165438

Can the viral reservoir of latently infected CD4(+) T cells be eradicated with antiretroviral HIV drugs?

Robert J Smith1, B D Aggarwala.   

Abstract

The majority of cells infected with the human immunodeficiency virus are activated CD4(+) T cells, which can be treated with antiretoviral drugs. However, an obstacle to eradication is the presence of viral reservoirs, such as latently infected CD4(+) T cells. Such cells may be less susceptible to antiretroviral drugs and may persist at low levels during treatment. We introduce a model of impulsive differential equations that describe T cell and drug interactions. We make the extreme assumption that latently infected cells are unaffected by drugs, in order to answer the research question: Can the viral reservoir of latently infected cells be eradicated using current antiretroviral therapy? We analyse the model in both the presence and absence of drugs, showing that, if the frequency of drug taking is sufficiently high, then the number of uninfected CD4(+) T cells approaches the number of T cells in the uninfected immune system. In particular, this implies that the latent reservoir will be eliminated. It follows that, with sufficient application of drugs, latently infected cells cannot sustain a viral reservoir on their own. We illustrate the results with numerical simulations.

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Year:  2009        PMID: 19165438     DOI: 10.1007/s00285-008-0245-4

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  27 in total

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2.  Effect of drug efficacy and the eclipse phase of the viral life cycle on estimates of HIV viral dynamic parameters.

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3.  Mathematical analysis of delay differential equation models of HIV-1 infection.

Authors:  Patrick W Nelson; Alan S Perelson
Journal:  Math Biosci       Date:  2002 Jul-Aug       Impact factor: 2.144

4.  A mathematical model of cell-to-cell spread of HIV-1 that includes a time delay.

Authors:  Rebecca V Culshaw; Shigui Ruan; Glenn Webb
Journal:  J Math Biol       Date:  2003-05       Impact factor: 2.259

5.  Distinct effects of protease and reverse transcriptase inhibition in an immunological model of HIV-1 infection with impulsive drug effects.

Authors:  R J Smith; L M Wahl
Journal:  Bull Math Biol       Date:  2004-09       Impact factor: 1.758

6.  The decay of the latent reservoir of replication-competent HIV-1 is inversely correlated with the extent of residual viral replication during prolonged anti-retroviral therapy.

Authors:  B Ramratnam; J E Mittler; L Zhang; D Boden; A Hurley; F Fang; C A Macken; A S Perelson; M Markowitz; D D Ho
Journal:  Nat Med       Date:  2000-01       Impact factor: 53.440

7.  Gene expression and viral prodution in latently infected, resting CD4+ T cells in viremic versus aviremic HIV-infected individuals.

Authors:  Tae-Wook Chun; J Shawn Justement; Richard A Lempicki; Jun Yang; Glynn Dennis; Claire W Hallahan; Christina Sanford; Punita Pandya; Shuying Liu; Mary McLaughlin; Linda A Ehler; Susan Moir; Anthony S Fauci
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8.  A viral load-based cellular automata approach to modeling HIV dynamics and drug treatment.

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9.  Limits on replenishment of the resting CD4+ T cell reservoir for HIV in patients on HAART.

Authors:  Ahmad R Sedaghat; Janet D Siliciano; Timothy P Brennan; Claus O Wilke; Robert F Siliciano
Journal:  PLoS Pathog       Date:  2007-08-31       Impact factor: 6.823

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Authors:  Marcel E Curlin; Shyamala Iyer; John E Mittler
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  5 in total

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Authors:  Qing Wang; Quanxin Zhu
Journal:  Electron J Qual Theory Differ Equ       Date:  2013       Impact factor: 1.874

Review 2.  Modeling antiretroviral drug responses for HIV-1 infected patients using differential equation models.

Authors:  Yanni Xiao; Hongyu Miao; Sanyi Tang; Hulin Wu
Journal:  Adv Drug Deliv Rev       Date:  2013-04-17       Impact factor: 15.470

Review 3.  Human immunodeficiency virus/acquired immune deficiency syndrome: Using drug from mathematical perceptive.

Authors:  Amar Nath Chatterjee; Shubhankar Saha; Priti Kumar Roy
Journal:  World J Virol       Date:  2015-11-12

4.  Dynamics of a new HIV model with the activation status of infected cells.

Authors:  Ting Guo; Zhipeng Qiu; Mingwang Shen; Libin Rong
Journal:  J Math Biol       Date:  2021-04-15       Impact factor: 2.164

5.  Modelling imperfect adherence to HIV induction therapy.

Authors:  Rachelle E Miron; Robert J Smith
Journal:  BMC Infect Dis       Date:  2010-01-12       Impact factor: 3.090

  5 in total

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