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Stochastic Modelling of Early HIV Immune Responses Under Treatment by Protease Inhibitors

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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 46))

Abstract

It is well documented that, in any ases, most f the free HIV are generated in the lymphoid tissues rather than in the plasma. This is especially true in the late stage of HIV pathogenesis because in this stage, the total number of CD4(+) T cells in the plasma is very small, whereas the number of free HIV in the plasma is very large. In this paper we have developed a state space model in plasma involving net flow of HIV from lymph nodes, extending the original model of Tan and Xiang (1999). We have applied this model and the theory to the data of a patient (patient No.104) considered in Perelson et al. (1996), n which RNA virus copies per mm3 were observed on 18 occasions over a three week period. This patient was treated by a protease inhibitor, ritonavir, so that a large number of non-infectious HIV was generated by the treatment. For this patient, by using the state space model over the three week span, we have estimated the numbers of productively HIV-infected T cells, the total number o f infectious HIV, as well as the number of non-infectious HIV. Our results showed that within this period, most of the HIV in the plasma was non-infectious, indicating that the drug is quite effective.

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Publications of Sid Yakowitz

  • Cavert, W., D.W. Notermans, K. Staskus, et al. (1996). Kinetics of response in lymphoid tissues to antiretroviral therapy of HIV-1 infection. Science, 276, p. 960–964.

    Google Scholar 

  • Cohen, O.J., G. Pantaleo, G.K. Lam, and A.S. Fauci. (1997). Studies on lymphoid tissue from HIV-infected individuals: Implications for the design of therapeutic strategies. In: “Immunopathogenesis of HIV Infection, A.S. Fauci and G. Pantaleo (eds.)”. Springer-Verlag, Berlin, p. 53–70.

    Chapter  Google Scholar 

  • Cohen, O.J., D. Weissman, and A.S. Fauci. (1998). The immunopathpgenesis of HIV infection. In: “Fundamental Immunology, Fourth edition.” ed. W.E. Paul, Lippincott-Raven Publishers, Philadelphia, Chapter 44, p. 1511–1534.

    Google Scholar 

  • Haase, A.T., K. Henry, M. Zupancic, et al. (1996). Quantitative image analysis ofHIV-1 infection in lymphoid tissues. Science, 274, p. 985–989.

    Google Scholar 

  • Fauci, A.S. and G. Pantaleo. (Eds.) (1997). Immunopathogenesis of HIV Infection. (Springer-Verlag, Berlin, 1997.)

    Google Scholar 

  • Fauci, A.S. (1996). Immunopathogenic mechanisms of HIV infection. Annals of Internal Medicine124, p. 654–663.

    Article  Google Scholar 

  • Kirschner, D.E. and G.F. Webb. (1997). Resistance, remission, and qualitative differences in HIV chemotherapy. Emerging Infectious Diseases, 3, p. 273–283.

    Article  Google Scholar 

  • Lafeuillade, A., C. Poggi, N. Profizi, et al. (1996). Human immunodeficiency virus type 1 kinetics in lymph nodes compared with plasma. The Jour. Infectious Diseases, 174, p. 404–407.

    Article  Google Scholar 

  • Mitter, J.E., B. Sulzer, A.U. Neumann, and A.S. Perelson. (1998). Influence of delayed viral production on viral dynamics in HIV-1 infected patients. Math. Biosciences, 152, p.. 143–163.

    Article  Google Scholar 

  • Perelson, A.S., A.U. Neumann, M. Markowitz, et al. (1996). HIV-1 dynamics in vivo: Virion clearance rate, infected cell life-span, and viral generation time. Science, 271, p. 1582–1586.

    Google Scholar 

  • Perelson, A.S., O. Essunger, Y.Z. Cao, et al. (1997). Decay characteristics of HIV infected compartments during combination therapy. Nature, 387, p. 188–192.

    Article  Google Scholar 

  • Piatak, M. Jr., M.S. Saag, L.C. Yang, et al. (1993). tHigh levels of HIV-1 inplasma during all stages of infection determined by competitive PCR. Science, 259, p. 1749–1754.

    Google Scholar 

  • Tan, W.Y. and H. Wu. (1998). Stochastic modeling of the dynamics of CD4(+)T cells by HIV infection and some Monte Carlo studies. Math. Biosciences, 147, p. 173–205.

    Article  MathSciNet  Google Scholar 

  • Tan, W.Y. and Z.H. Xiang. (1998). State Space Models for the HIV pathogenesis. In: “Mathematical Models in Medicine and Health Sciences”, eds. M.A. Horn, G. Simonett and G. Webb. (Vanderbilt University Press, Nashville, TN, 1998), p. 351–368.

    Google Scholar 

  • Tan, W.Y. and Z.H. Xiang. (1999). A state space model of HIV pathogenesis under treatment by anti-viral drugs in HIV-infected individuals. Math. Biosciences, 156, p. 69–94.

    Article  MathSciNet  Google Scholar 

  • Tan, W.Y. and Z.Z. Ye. (1999). Stochastic modeling of HIV pathogenesis under HAART and development of drug resistance. (Proceeding of the International 99’ ISAS meeting, Orlando, Fl. 1999.)

    Google Scholar 

  • Tan, W.Y. and Z.Z. Ye. (2000). Assessing effects of different types of HIV and macrophage on the HIV pathogenesis by stochastic models of HIV pathogenesis in HIV-infected individuals. Jour. Theoretical Medicine, 2, p. 245–265.

    Article  Google Scholar 

  • Weiss, R.A. (1996). HIV receptors and the pathogenesis of AIDS. Science, 272, p. 1885–1886.

    Google Scholar 

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Tan, WY., Xiang, Z. (2002). Stochastic Modelling of Early HIV Immune Responses Under Treatment by Protease Inhibitors. In: Dror, M., L’Ecuyer, P., Szidarovszky, F. (eds) Modeling Uncertainty. International Series in Operations Research & Management Science, vol 46. Springer, New York, NY. https://doi.org/10.1007/0-306-48102-2_5

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