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Evolutionary game theoretic strategy for optimal drug delivery to influence selection pressure in treatment of HIV-1.
- Source :
-
Journal of Mathematical Biology . Feb2012, Vol. 64 Issue 3, p495-512. 18p. - Publication Year :
- 2012
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03036812
- Volume :
- 64
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Mathematical Biology
- Publication Type :
- Academic Journal
- Accession number :
- 70229112
- Full Text :
- https://doi.org/10.1007/s00285-011-0422-8