Abstract
In this paper, we consider a more realistic model than a previous one (Lou et al. in Math Biosci Eng 3:313, 2006) for an HIV-1 dynamical model incorporating the AIDS-related cancer cells in tissue cultures. In order to improve the description of the phenomenon, we have taken into account also the time delay for the incubation phase when the target cells are infected. The model involves three cell populations: cancer cells, healthy and infected CD4+ T lymphocytes and we verify that there exists up to six steady states. We discuss the existence, the stability properties and the biological meanings of the steady states, focusing in particular on the positive one: cancer- HIV-healthy cells steady state. We find Hopf bifurcation of the positive steady state, leading to periodic solutions and chaos. By means of numerical simulations the effect of the delay is analyzed and we find that the existence of infected quiescent memory T cells is one of the important reasons for which the HIV-1 infected individual develops AIDS.
Similar content being viewed by others
References
Lou, J., Ruggeri, T., Tebaldi, C.: Modeling cancer in HIV-1 infected individuals: equilibria, cycles and chaotic behavior. Math. Biosci. Eng. 3, 313 (2006)
Straus, D.J.: HIV-Associated Lymphomas. HIV Assoc. Lymphomas 16, 260 (2001)
Sato, H., Orenstein, J., Martin, M.: Cell-to-cell spread of HIV-1 occurs within minutes and may not involve the participation of virus particals. J. Virol. 186, 712 (1992)
Mittler, J.B., Sulzer, B., Neumann, A.U., Perelson, A.S.: Influence of delayed viral production on viral dynamics in HIV-1 infected patients. Math. Biosci. 152, 143 (1998)
Levy, J.A.: HIV and the Pathogenesis of AIDS. Springer, New York, p. 239 (1999)
Kolmanovskii, V.B., Shaikhet, L.E.: Control of systems with aftereffect. A.M.S. Trans. Math. Monogr. 157 (1992)
MacDonald, N.: Biological Delay Systems, Linear Stability Theory. Cambridge University Press, London (1989)
Gupta, P., Balachandran, R.: Cell-to-cell transmission of hunman immunodeficiency virus type 1 in the presence of azidothymidine and neutralizing antibody. J. Virol. 63, 2361 (1989)
Culshaw, R.V., Ruan, S.: A delay-differential equation model of HIV infection of CD4+ T cells. Math. Biosci. 165, 27 (2000)
Lou, J., Ma, Z., Li, J., Shao, Y.: The impact of the CD8+ cell non-cytotoxic antiviral response (CNAR) and cytotoxic T lymphocyte (CTL) activity in a cell-to-cell spread model for HIV-1 with a time delay. J. Biol. Syst. 12(1), 73 (2004)
Lefever, R., Erneux, T.: On the growth of cellulare tissues under constant and fluctuating environmental conditions. Nonlinear Electrodyn. Biol. Syst. 287 (1984)
Qi, A.S., Du, Y.: The nonlinear medels for immunity. Shanghai Scientific and Technological Education Publishing House, Shanghai (1998)
Dieudonne, J.: Foundations of Modern Analysis. Academic, New York (1960)
Bellen, A., Zennaro, M.: Numerical Methods for Delay Differential Equations. Oxford University Press, Oxford (2003)
Perelson, A.S., Kirschner, D.E., Boer, R.D.: Dynamics of HIV infection of CD4+ T cells. Math. Biosci. 114, 81 (1993)
Layne, S.P., Merges, M.J.: HIV requires multiple gp120 molecules for CD4-mediated infection. Nature 346, 277 (1990)
Spouge, J.L., Shrager, R.I., Dimitrov, D.S.: HIV-1 infection kinetics in tissue cultures. Math. Biosci. 138, 1 (2006)
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Editor-in-Chief.
Rights and permissions
About this article
Cite this article
Lou, J., Ruggeri, T. A time delay model about AIDS-related cancer: equilibria, cycles and chaotic behavior. Ricerche mat. 56, 195–208 (2007). https://doi.org/10.1007/s11587-007-0013-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11587-007-0013-6