Literature DB >> 30170043

Interplay between reaction and diffusion processes in governing the dynamics of virus infections.

G Bocharov1, A Meyerhans2, N Bessonov3, S Trofimchuk4, V Volpert5.   

Abstract

Spreading of viral infection in the tissues such as lymph nodes or spleen depends on virus multiplication in the host cells, their transport and on the immune response. Reaction-diffusion systems of equations with delays in cell proliferation and death by apoptosis represent an appropriate model to study this process. The properties of the cells of the immune system and the initial viral load determine the spatiotemporal regimes of infection spreading. Infection can be completely eliminated or it can persist at some level together with a certain chronic immune response in a spatially uniform or oscillatory mode. Finally, the immune cells can be completely exhausted leading to a high viral load persistence in the tissue. It has been found experimentally, that virus proteins can affect the immune cell migration. Our study shows that both the motility of immune cells and the virus infection spreading represented by the diffusion rate coefficients are relevant control parameters determining the fate of virus-host interaction.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Delay reaction-diffusion model; Immune response; Infection spreading; Regimes of propagation; Spatiotemporal dynamics; Tissue; Virus infection

Mesh:

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Year:  2018        PMID: 30170043     DOI: 10.1016/j.jtbi.2018.08.036

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Competition of SARS-CoV-2 Variants in Cell Culture and Tissue: Wins the Fastest Viral Autowave.

Authors:  Alexey Tokarev; Anastasia Mozokhina; Vitaly Volpert
Journal:  Vaccines (Basel)       Date:  2022-06-22

2.  Analysis of the initiation of viral infection under flow conditions with applications to transmission in feed.

Authors:  Vladimir P Zhdanov; Joshua A Jackman
Journal:  Biosystems       Date:  2020-06-09       Impact factor: 1.973

  2 in total

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