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dc.contributor.author Bouchnita, Anass
dc.contributor.author Bocharov, Gennady A.
dc.contributor.author Meyerhans, Andreas
dc.contributor.author Volpert, Vitaly
dc.date.accessioned 2017-05-23T08:06:14Z
dc.date.available 2017-05-23T08:06:14Z
dc.date.issued 2017
dc.identifier.citation Bouchnita A, Bocharov G, Meyerhans A, Volpert V. Towards a Multiscale Model of Acute HIV Infection. Computation. 2017;5(1):6. DOI: 10.3390/computation5010006
dc.identifier.issn 2079-3197
dc.identifier.uri http://hdl.handle.net/10230/32146
dc.description.abstract Human Immunodeficiency Virus (HIV) infection of humans represents a complex biological system and a great challenge to public health. Novel approaches for the analysis and prediction of the infection dynamics based on a multi-scale integration of virus ontogeny and immune reactions are needed to deal with the systems’ complexity. The aim of our study is: (1) to formulate a multi-scale mathematical model of HIV infection; (2) to implement the model computationally following a hybrid approach; and (3) to calibrate the model by estimating the parameter values enabling one to reproduce the “standard” observed dynamics of HIV infection in blood during the acute phase of primary infection. The modeling approach integrates the processes of infection spread and immune responses in Lymph Nodes (LN) to that observed in blood. The spatio-temporal population dynamics of T lymphocytes in LN in response to HIV infection is governed by equations linking an intracellular regulation of the lymphocyte fate by intercellular cytokine fields. We describe the balance of proliferation, differentiation and death at a single cell level as a consequence of gene activation via multiple signaling pathways activated by IL-2, IFNa and FasL. Distinct activation thresholds are used in the model to relate different modes of cellular responses to the hierarchy of the relative levels of the cytokines. We specify a reference set of model parameter values for the fundamental processes in lymph nodes that ensures a reasonable agreement with viral load and CD4+ T cell dynamics in blood.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher MDPI
dc.relation.ispartof Computation. 2017;5(1):6
dc.rights This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Towards a multiscale model of acute HIV infection
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.3390/computation5010006
dc.subject.keyword Virus infection
dc.subject.keyword Immune response
dc.subject.keyword Acute phase
dc.subject.keyword HIV spread
dc.subject.keyword Multi-scale model
dc.subject.keyword Single-cell regulation
dc.subject.keyword Reaction-diffusion
dc.subject.keyword Spatial dynamics
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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