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

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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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References

  • Aggarwala BD (2007) HIV Blips may not be accidental. Far East J Math Sci 25(3): 633–647

    MATH  MathSciNet  Google Scholar 

  • Arlen PA, Brooks DG, Gao LY, Vatakis D, Brown HJ, Zack JA (2006) Rapid expression of human immunodeficiency virus following activation of latently infected cells. J Virol 80(3): 1599–1603

    Article  Google Scholar 

  • Bainov DD, Simeonov PS (1989) Systems with impulsive effect. Ellis Horwood Ltd, Chichester

    Google Scholar 

  • Bainov DD, Simeonov PS (1993) Impulsive differential equations: periodic solutions and applications. Longman Scientific and Technical, Burnt Mill, New York, Harlow

    MATH  Google Scholar 

  • Bainov DD, Simeonov PS (1995) Impulsive differential equations: asymptotic properties of the solutions. World Scientific, Singapore

    MATH  Google Scholar 

  • Blankson JN, Persaud D, Siliciano RF (2002) The challenge of viral reservoirs in HIV-1 infection. Annu Rev Med 53: 557–93

    Article  Google Scholar 

  • Chun TW, Carruth L, Finzi D, Shen X, DiGiuseppe JA, Taylor H, Hermankova M, Chadwick K, Margolick J, Quinn TC, Kuo YH, Brookmeyer R, Zeiger MA, Barditch-Crovo P, Siliciano RF (1997) Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection. Nature 387: 183–188

    Article  Google Scholar 

  • Chun T-W, Fauci AS (1999) Latent reservoirs of HIV: obstacles to the eradication of virus. Proc Natl Acad Sci 96: 10958–10961

    Article  Google Scholar 

  • Chun T-W, Justement JS, Lempicki RA, Yang J, Dennis G, Hallahan CW, Sanford C, Pandya P, Liu S, McLaughlin M, Ehler LA, Moir S, Fauci AS (2003) Gene expression and viral prodution in latently infected, resting CD4+ T cells in viremic versus aviremic HIV-infected individuals. Proc Natl Acad Sci 100(4): 1908–1913

    Article  Google Scholar 

  • Chun T-W, Nickle DC, Justement JC, Large D, Semerjian A, Curlin ME, O’Shea MA, Hallahan CW, Daucher M, Ward DJ, Moir S, Mullins JI, Kovacs C, Fauci AS (2005) HIV-infected individuals receiving effective antiviral therapy for extended periods of time continually replenish their viral reservoir. J Clin Invest 115(11): 3250–3255

    Article  Google Scholar 

  • Culshaw RV, Ruan S, Webb G (2003) A mathematical model of cell-to-cell spread of HIV-1 that includes a time delay. J Math Biol 46: 425–444

    Article  MATH  MathSciNet  Google Scholar 

  • Curlin ME, Iyer S, Mittler JE (2007) Optimal timing and duration of induction therapy for HIV-1 infection. PLoS Comput Biol 3(7): e133

    Article  Google Scholar 

  • d’Onofrio A (2002) Stability properties of pulse vaccination strategy in SEIR epidemic model. Math Biosci 179: 57–72

    Article  MATH  MathSciNet  Google Scholar 

  • Fernández-Montero JV (2008) Low performance of protease inhibitor monotherapy in comparison with standard triple regimens. AIDS Rev 10: 62–63

    Google Scholar 

  • Finzi D, Blankson J, Siliciano JD, Margolick JB, Chadwick K, Pierson T, Smith K, Lisziewicz J, Lori F, Flexner C, Quinn TC, Chaisson RE, Rosenberg E, Walker B, Gange S, Gallant J, Siliciano RF (1999) Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy. Nat Med 5: 512–517

    Article  Google Scholar 

  • Hadjiandreou M, Conejeros R, Vassiliadis VS (2007) Towards a long-term model construction for the dynamic simulation of HIV infection. Math Biosci Eng 4(3): 489–504

    MATH  Google Scholar 

  • Janeway C, Travers P, Walport M, Shlomchik MJ (2001) Immunobiology 5: the immune system in health and disease. Garland Publishing, New York

    Google Scholar 

  • Jones LE, Perelson AS (2007) Transient viremia, plasma viral load, and reservoir replenishment in HIV-infected patients on antiretroviral therapy. J Acquir Immune Defic Syndr 45(5): 483–493

    Article  Google Scholar 

  • Kirschner D, Lenhart S, Serbin S (1997) Optimal control of the chemotherapy of HIV. J Math Biol 35: 773–792

    Article  MathSciNet  Google Scholar 

  • Krakovska O, Wahl LM (2007) Optimal drug treatment regimens for HIV depend on adherence. J Theor Biol 246: 499–509

    Article  MathSciNet  Google Scholar 

  • Lakshmikantham V, Bainov DD, Simeonov PS (1989) Theory of impulsive differential equations. World Scientific, Singapore

    MATH  Google Scholar 

  • Mittler J, Suzer B, Neumann A, Perelson A (1998) Influence of delayed viral production on viral dynamics in HIV-1 infected patients. Math Biosci 152: 143–163

    Article  MATH  Google Scholar 

  • Nelson P, Mittler J, Perelson A (2001) Effect of drug efficacy and the eclipse phase of the viral life cycle on estimates of HIV viral dynamic parameters. J Acquir Immune Defic Syndr 26: 405–412

    Google Scholar 

  • Nelson P, Murray J, Perelson A (2000) A model of HIV-1 pathogenesis that includes an intracellular delay. Math Biosci 163: 201–215

    Article  MATH  MathSciNet  Google Scholar 

  • Nelson P, Perelson A (2002) Mathematical analysis of delay differential equation models of HIV-1 infection. Math Biosci 179: 73–94

    Article  MATH  MathSciNet  Google Scholar 

  • Perelson AS, Essunger P, Cao Y, Vesanen M, Hurley A, Saksela K, Markowitz M, Ho DD (1997) Decay characteristics of HIV-1-infected compartments during combination therapy. Nature 387: 188–191

    Article  Google Scholar 

  • Ramratnam B, Mittler JE, Zhang L, Boden D, Hurley A, Fang F, Macken CA, Perelson AS, Markowitz M, Ho DD (2000) 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. Nat Med 6: 82–85

    Article  Google Scholar 

  • Sedaghat AR, Siliciano JD, Brennan TP, Wilke CO, Siliciano RF (2007) Limits on replenishment of the resting CD4+ T cell reservoir for HIV in patients on HAART. PLoS Pathog 3(8): e122

    Article  Google Scholar 

  • Shi V, Tridane A, Kuang Y (2008) A viral load-based cellular automata approach to modeling HIV dynamics and drug treatment. J Theor Biol 253(1): 24–35

    Article  Google Scholar 

  • Smith RJ, Wahl LM (2004) Distinct effects of protease and reverse transcriptase inhibition in an immunological model of HIV-1 infection with impulsive drug effects. Bull Math Biol 66(5): 1259–1283

    Article  MathSciNet  Google Scholar 

  • Smith? RJ (2008) Explicitly accounting for antiretroviral drug uptake in theoretical HIV models predicts long-term failure of protease-only therapy. J Theor Biol 251(2): 227–237

    Article  Google Scholar 

  • Smith? RJ, Schwartz EJ (2008) Predicting the potential impact of a cytotoxic T-lymphocyte HIV vaccine: How often should you vaccinate and how strong should the vaccine be. Math Biosci 212: 180–187

    Article  MATH  MathSciNet  Google Scholar 

  • Thieme HR (1992) Convergence results and a Poincaré-Bendixson trichotomy for asymptotically autonomous differential equations. J Math Biol 30: 735–763

    Article  MathSciNet  Google Scholar 

  • Wodarz D, Nowak MA (2002) Mathematical models of HIV pathogenesis and treatment. BioEssays 24: 1178–1187

    Article  Google Scholar 

  • Wu H, Ding AA (1999) Population HIV-1 dynamics in vivo: applicable models and inferential tools for virological data from AIDS clinical trials. Biometrics 55: 410–418

    Article  MATH  Google Scholar 

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Correspondence to Robert J. Smith.

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R. J. Smith? is supported by an NSERC Discovery grant, an Early Researcher Award and funding from MITACS.

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Smith, R.J., Aggarwala, B.D. Can the viral reservoir of latently infected CD4+ T cells be eradicated with antiretroviral HIV drugs?. J. Math. Biol. 59, 697–715 (2009). https://doi.org/10.1007/s00285-008-0245-4

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  • DOI: https://doi.org/10.1007/s00285-008-0245-4

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