Towards a multiscale model of acute HIV infection

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Bouchnita, Anassca
• dc.contributor.author Bocharov, Gennady A.ca
• dc.contributor.author Meyerhans, Andreasca
• dc.contributor.author Volpert, Vitalyca
• dc.date.accessioned 2017-05-23T08:06:14Z
• dc.date.available 2017-05-23T08:06:14Z
• dc.date.issued 2017
• 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/pdfca
• 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.doi http://dx.doi.org/10.3390/computation5010006
• dc.identifier.issn 2079-3197
• dc.identifier.uri http://hdl.handle.net/10230/32146
• dc.language.iso eng
• dc.publisher MDPIca
• 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.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• 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.title Towards a multiscale model of acute HIV infectionca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion