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Spatiotemporal Dynamics of Virus Infection Spreading in Tissues

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dc.contributor.author Bocharov, Gennady A.
dc.contributor.author Meyerhans, Andreas
dc.contributor.author Bessonov, Nickolay
dc.contributor.author Trofimchuk, Sergei
dc.contributor.author Volpert, Vitaly
dc.date.accessioned 2017-03-08T13:04:02Z
dc.date.available 2017-03-08T13:04:02Z
dc.date.issued 2016
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.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10230/28188
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/pdf
dc.language.iso eng
dc.publisher Public Library of Science (PLoS)
dc.relation.ispartof PLoS ONE. 2016; 11(12): e0168576
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.uri https://creativecommons.org/licenses/by/4.0/
dc.title Spatiotemporal Dynamics of Virus Infection Spreading in Tissues
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0168576
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.relation.projectID info:eu-repo/grantAgreement/ES/1PE/SAF2013-46077
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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