title: Evolutionary game theoretic strategy for optimal drug delivery to influence selection pressure in treatment of HIV-1.
abstract: Cytotoxic T-lymphocyte (CTL) escape mutation is associated with long-term behaviors of human immunodeficiency virus type 1 (HIV-1). Recent studies indicate heterogeneous behaviors of reversible and conservative mutants while the selection pressure changes. The purpose of this study is to optimize the selection pressure to minimize the long-term virus load. The results can be used to assist in delivery of highly loaded cognate peptide-pulsed dendritic cells (DC) into lymph nodes that could change the selection pressure. This mechanism may be employed for controlled drug delivery. A mathematical model is proposed in this paper to describe the evolutionary dynamics involving viruses and T cells. We formulate the optimization problem into the framework of evolutionary game theory, and solve for the optimal control of the selection pressure as a neighborhood invader strategy. The strategy dynamics can be obtained to evolve the immune system to the best controlled state. The study may shed light on optimal design of HIV-1 therapy based on optimization of adaptive CTL immune response.
authors.affiliation: Mechanical, Aerospace and Biomedical Engineering Department, University of Tennessee, Knoxville, TN 37996, USA.
authors.forename: Yu
authors.initials: Y
authors.lastname: Wu
authors.forename: Mingjun
authors.initials: M
authors.lastname: Zhang
authors.forename: Jing
authors.initials: J
authors.lastname: Wu
authors.forename: Xiaopeng
authors.initials: X
authors.lastname: Zhao
authors.forename: Lijin
authors.initials: L
authors.lastname: Xia
mesh_terms: D019380:Anti-HIV Agents / Q000008:administration & dosage*; D003713:Dendritic Cells / Q000187:drug effects / Q000276:immunology / Q000821:virology; D016503:Drug Delivery Systems / Q000706:statistics & numerical data*; D005716:Game Theory; D015488:HIV Antigens / Q000276:immunology; D015658:HIV Infections / Q000188:drug therapy* / Q000276:immunology; D015497:HIV-1 / Q000187:drug effects* / Q000276:immunology; D006801:Humans; D008198:Lymph Nodes / Q000187:drug effects / Q000276:immunology / Q000821:virology; D008954:Models, Biological; D013602:T-Lymphocytes, Cytotoxic / Q000187:drug effects / Q000276:immunology / Q000821:virology; D019562:Viral Load / Q000187:drug effects / Q000276:immunology
chemical_list: D019380:Anti-HIV Agents; D015488:HIV Antigens