Literature DB >> 26507442

Dynamics of HIV infection in lymphoid tissue network.

Shinji Nakaoka1, Shingo Iwami2, Kei Sato3.   

Abstract

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.

Entities:  

Keywords:  Combinational drug treatment; HIV infection; Lymphoid tissue network; Mathematical Modeling; Numerical computation; The basic reproduction number

Mesh:

Substances:

Year:  2015        PMID: 26507442     DOI: 10.1007/s00285-015-0940-x

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  56 in total

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Authors:  J A Metz; M Gyllenberg
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2.  IL-7 is critical for homeostatic proliferation and survival of naive T cells.

Authors:  J T Tan; E Dudl; E LeRoy; R Murray; J Sprent; K I Weinberg; C D Surh
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-10       Impact factor: 11.205

3.  On fitness in structured metapopulations.

Authors:  M Gyllenberg; J A Metz
Journal:  J Math Biol       Date:  2001-12       Impact factor: 2.259

4.  Genetic drift and within-host metapopulation dynamics of HIV-1 infection.

Authors:  S D Frost; M J Dumaurier; S Wain-Hobson; A J Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2001-05-29       Impact factor: 11.205

5.  Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission.

Authors:  P van den Driessche; James Watmough
Journal:  Math Biosci       Date:  2002 Nov-Dec       Impact factor: 2.144

6.  Naive T cells are maintained by thymic output in early ages but by proliferation without phenotypic change after age twenty.

Authors:  John M Murray; Gilbert R Kaufmann; Philip D Hodgkin; Sharon R Lewin; Anthony D Kelleher; Miles P Davenport; John J Zaunders
Journal:  Immunol Cell Biol       Date:  2003-12       Impact factor: 5.126

7.  Rapid production and clearance of HIV-1 and hepatitis C virus assessed by large volume plasma apheresis.

Authors:  B Ramratnam; S Bonhoeffer; J Binley; A Hurley; L Zhang; J E Mittler; M Markowitz; J P Moore; A S Perelson; D D Ho
Journal:  Lancet       Date:  1999-11-20       Impact factor: 79.321

8.  A novel antiviral intervention results in more accurate assessment of human immunodeficiency virus type 1 replication dynamics and T-cell decay in vivo.

Authors:  Martin Markowitz; Michael Louie; Arlene Hurley; Eugene Sun; Michele Di Mascio; Alan S Perelson; David D Ho
Journal:  J Virol       Date:  2003-04       Impact factor: 5.103

9.  Dynamics of naive and memory CD4+ T lymphocytes in HIV-1 disease progression.

Authors:  Seema H Bajaria; Glenn Webb; Miles Cloyd; Denise Kirschner
Journal:  J Acquir Immune Defic Syndr       Date:  2002-05-01       Impact factor: 3.731

Review 10.  Model of HIV-1 disease progression based on virus-induced lymph node homing and homing-induced apoptosis of CD4+ lymphocytes.

Authors:  D Kirschner; G F Webb; M Cloyd
Journal:  J Acquir Immune Defic Syndr       Date:  2000-08-01       Impact factor: 3.731

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  3 in total

1.  A reaction-diffusion within-host HIV model with cell-to-cell transmission.

Authors:  Xinzhi Ren; Yanni Tian; Lili Liu; Xianning Liu
Journal:  J Math Biol       Date:  2018-01-05       Impact factor: 2.259

2.  Large Variations in HIV-1 Viral Load Explained by Shifting-Mosaic Metapopulation Dynamics.

Authors:  Katrina A Lythgoe; François Blanquart; Lorenzo Pellis; Christophe Fraser
Journal:  PLoS Biol       Date:  2016-10-05       Impact factor: 8.029

3.  Spatiotemporal Dynamics of Virus Infection Spreading in Tissues.

Authors:  Gennady Bocharov; Andreas Meyerhans; Nickolai Bessonov; Sergei Trofimchuk; Vitaly Volpert
Journal:  PLoS One       Date:  2016-12-20       Impact factor: 3.240

  3 in total

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