title: Mathematical analysis of antiretroviral therapy aimed at HIV-1 eradication or maintenance of low viral loads.
abstract: Motivated by the ability of combinations of antiretroviral agents to sustain viral suppression in HIV-1-infected individuals, we analyse the transient and steady-state behavior of a mathematical model of HIV-1 dynamics in vivo in order to predict whether these drug regimens can eradicate HIV-1 or maintain viral loads at low levels. The model incorporates two cell types (CD4+ T cells and a long-lived pool of cells), two strains of virus (drug-sensitive wild type and drug-resistant mutant) and two types of antiretroviral agents (reverse transcriptase and protease inhibitors). The transient behavior of the cells and virus and the eventual eradication of the virus are determined primarily by the strength of the combination therapy against the mutant strain and the maximum achievable increase in the uninfected CD4+ T cell concentration. We also predict, if the parameters of the model remain constant during therapy, that less intensive maintenance regimens will be unable to maintain low viral loads for extensive periods of time. However, if the reduction in viral load produced by therapy reduces the state of activation of the immune system, the number of cells susceptible for HIV-1 infection may decrease even though total CD4+ T cells increase. Our model predicts that if this occurs strong inductive therapy that reduces viral load followed by weaker maintenance regimes may succeed.
authors.affiliation: Sloan School of Management, M.I.T., Cambridge, MA 02139, USA.
authors.forename: L M
authors.initials: LM
authors.lastname: Wein
authors.forename: R M
authors.initials: RM
authors.lastname: D'Amato
authors.forename: A S
authors.initials: AS
authors.lastname: Perelson
mesh_terms: D000998:Antiviral Agents / Q000627:therapeutic use*; D015496:CD4-Positive T-Lymphocytes / Q000187:drug effects; D004352:Drug Resistance, Microbial / Q000235:genetics; D005814:Genes, Viral; D015658:HIV Infections / Q000188:drug therapy*; D015497:HIV-1 / Q000235:genetics*; D006801:Humans; D008433:Mathematics; D018448:Models, Immunological; D009154:Mutation; D019562:Viral Load
chemical_list: D000998:Antiviral Agents