| Evolutionary game theoretic strategy for optimal drug delivery to influence selection pressure in treatment of HIV-1. | |
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MedLine Citation:
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PMID: 21503727 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Yu Wu; Mingjun Zhang; Jing Wu; Xiaopeng Zhao; Lijin Xia |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-19 |
Journal Detail:
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Title: Journal of mathematical biology Volume: - ISSN: 1432-1416 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7502105 Medline TA: J Math Biol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Mechanical, Aerospace and Biomedical Engineering Department, University of Tennessee, Knoxville, TN, 37996, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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