Dynamics of HIV infection in lymphoid tissue network

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• 作者：Shinji Nakaoka ; Shingo Iwami ; Kei Sato
• 关键词：Mathematical Modeling ; Numerical computation ; HIV infection ; Lymphoid tissue network ; The basic reproduction number ; Combinational drug treatment ; 92B05 ; 92C37 ; 92D25 ; 37N25
• 刊名：Journal of Mathematical Biology
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：72
• 期：4
• 页码：909-938
• 全文大小：1,118 KB
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• 作者单位：Shinji Nakaoka (1)
  Shingo Iwami (2)
  Kei Sato (3)
  
  1. Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
  2. Department of Biology, Kyushu University, Fukuoka, 812-8581, Japan
  3. Institute for Virus Research, Kyoto University, Kyoto, 606-8507, Japan
  
• 刊物类别：Mathematics and Statistics
• 刊物主题：Mathematics
  Mathematical Biology
  Applications of Mathematics
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1416

文摘

Human immunodeficiency virus (HIV) is a fast replicating ribonucleic acid virus, which can easily mutate in order to escape the effects of drug administration. Hence, understanding the basic mechanisms underlying HIV persistence in the body is essential in the development of new therapies that could eradicate HIV infection. Lymphoid tissues are the primary sites of HIV infection. Despite the recent progress in real-time monitoring technology, HIV infection dynamics in a whole body is unknown. Mathematical modeling and simulations provide speculations on global behavior of HIV infection in the lymphatic system. We propose a new mathematical model that describes the spread of HIV infection throughout the lymphoid tissue network. In order to represent the volume difference between lymphoid tissues, we propose the proportionality of several kinetic parameters to the lymphoid tissues’ volume distribution. Under this assumption, we perform extensive numerical computations in order to simulate the spread of HIV infection in the lymphoid tissue network. Numerical computations simulate single drug treatments of an HIV infection. One of the important biological speculations derived from this study is a drug saturation effect generated by lymphoid network connection. This implies that a portion of reservoir lymphoid tissues to which drug is not sufficiently delivered would inhibit HIV eradication despite of extensive drug injection. Keywords Mathematical Modeling Numerical computation HIV infection Lymphoid tissue network The basic reproduction number Combinational drug treatment