Spatiotemporal Dynamics of Virus Infection Spreading in Tissues
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- dc.contributor.author Bocharov, Gennady A.ca
- dc.contributor.author Meyerhans, Andreasca
- dc.contributor.author Bessonov, Nickolayca
- dc.contributor.author Trofimchuk, Sergeica
- dc.contributor.author Volpert, Vitalyca
- dc.date.accessioned 2017-03-08T13:04:02Z
- dc.date.available 2017-03-08T13:04:02Z
- dc.date.issued 2016
- dc.description.abstract Virus spreading in tissues is determined by virus transport, virus multiplication in host cells and the virus-induced immune response. Cytotoxic T cells remove infected cells with a rate determined by the infection level. The intensity of the immune response has a bell-shaped dependence on the concentration of virus, i.e., it increases at low and decays at high infection levels. A combination of these effects and a time delay in the immune response determine the development of virus infection in tissues like spleen or lymph nodes. The mathematical model described in this work consists of reaction-diffusion equations with a delay. It shows that the different regimes of infection spreading like the establishment of a low level infection, a high level infection or a transition between both are determined by the initial virus load and by the intensity of the immune response. The dynamics of the model solutions include simple and composed waves, and periodic and aperiodic oscillations. The results of analytical and numerical studies of the model provide a systematic basis for a quantitative understanding and interpretation of the determinants of the infection process in target organs and tissues from the image-derived data as well as of the spatiotemporal mechanisms of viral disease pathogenesis, and have direct implications for a biopsy-based medical testing of the chronic infection processes caused by viruses, e.g. HIV, HCV and HBV.
- dc.description.sponsorship The research was funded by the Russian Science Foundation (Grant no. 15-11-00029) to G.B., A.M., V.V. A.M. was also partially supported by a grant from the Spanish Ministry of Economy and Competitiveness and FEDER (Grant no. SAF2013-46077-R). S.T. and V.V. were also partially supported by FONDECYT (Chile) project 1150480. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Bocharov G, Meyerhans A, Bessonov N, Trofimchuk S, Volpert V. Spatiotemporal Dynamics of Virus Infection Spreading in Tissues. PLoS ONE. 2016; 11(12): e0168576. DOI: 10.1371/journal.pone.0168576
- dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0168576
- dc.identifier.issn 1932-6203
- dc.identifier.uri http://hdl.handle.net/10230/28188
- dc.language.iso eng
- dc.publisher Public Library of Science (PLoS)ca
- dc.relation.ispartof PLoS ONE. 2016; 11(12): e0168576
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/SAF2013-46077
- dc.rights © 2016 Bocharov et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Immune response
- dc.subject.keyword Wave propagation
- dc.subject.keyword Traveling waves
- dc.subject.keyword Waves
- dc.subject.keyword HIV infections
- dc.subject.keyword T cells
- dc.subject.keyword HIV
- dc.subject.keyword Viral load
- dc.title Spatiotemporal Dynamics of Virus Infection Spreading in Tissuesca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion