A mathematical model of HIV infection: Simulating T4, T8, macrophages, antibody, and virus via specific anti-HIV response in the presence of adaptation and tropism.
A mathematical model of the host's immune response to HIV infection is proposed. The model represents the dynamics of 13 subsets of T cells (HIV-specific and nonspecific, healthy and infected, T4 and T8 cells), infected macrophages, neutralizing antibodies, and virus. The results of simulation are in agreement with published data regarding T4 cell concentration and viral load, and exhibit the typical features of HIV infection, i.e. double viral peaks in the acute stage, sero conversion, inverted T cell ratio, establishment of set points, steady state, and decline into AIDS. This result is achieved by taking into account thymic aging, viral and infected cell stimulation of specific immune cells, background nonspecific antigens, infected cell proliferation, viral production by infected macrophages and T cells, tropism, viral, and immune adaptation. Starting from this paradigm, changes in the parameter values simulate observed differences in individual outcomes, and predict different scenarios, which can suggest new directions in therapy. In particular, large parameter changes highlight the potentially critical role of both very vigorous and extremely damped specific immune response, and of the elimination of virus release by macrophages. Finally, the time courses of virus, antibody and T cells production and removal are systematically investigated, and a comparison of T4 and T8 cell dynamics in a healthy and in a HIV infected host is offered.
Wasserstein-Robbins
Freda
F
Department of Mathematics, New Jersey City University, Jersey City, NJ 07305-1597, USA. frobbins@njcu.edu
D000220:Adaptation, Biological / Q000502:physiology*; D000328:Adult; D000465:Algorithms; D000914:Antibodies, Viral / Q000097:blood / Q000276:immunology*; D000917:Antibody Formation / Q000276:immunology; D015496:CD4-Positive T-Lymphocytes / Q000166:cytology / Q000276:immunology / Q000821:virology; D018414:CD8-Positive T-Lymphocytes / Q000166:cytology / Q000276:immunology; D002452:Cell Count; D049109:Cell Proliferation; D003198:Computer Simulation; D019143:Evolution, Molecular; D006678:HIV / Q000502:physiology; D015658:HIV Infections / Q000276:immunology* / Q000821:virology; D006801:Humans; D007111:Immunity, Cellular; D008264:Macrophages / Q000166:cytology / Q000276:immunology* / Q000821:virology; D008954:Models, Biological; D015203:Reproducibility of Results; D016176:T-Lymphocyte Subsets / Q000166:cytology / Q000276:immunology* / Q000821:virology; D019562:Viral Load / Q000276:immunology; D056189:Viral Tropism / Q000502:physiology*; D014779:Virus Replication / Q000502:physiology
D000914:Antibodies, Viral