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Controlling IL-7 Injections in HIV-Infected Patients

dc.rights.licenseopenen_US
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorPASIN, Chloe
dc.contributor.authorDUFOUR, F.
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorVILLAIN, Laura
dc.contributor.authorZHANG, H.
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIEBAUT, Rodolphe
dc.date.accessioned2020-12-14T10:58:59Z
dc.date.available2020-12-14T10:58:59Z
dc.date.issued2018-09
dc.identifier.issn1522-9602 (Electronic) 0092-8240 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/21436
dc.description.abstractEnImmune interventions consisting in repeated injections are broadly used as they are thought to improve the quantity and the quality of the immune response. However, they also raise several questions that remain unanswered, in particular the number of injections to make or the delay to respect between different injections to achieve this goal. Practical and financial considerations add constraints to these questions, especially in the framework of human studies. We specifically focus here on the use of interleukin-7 (IL-7) injections in HIV-infected patients under antiretroviral treatment, but still unable to restore normal levels of [Formula: see text] T lymphocytes. Clinical trials have already shown that repeated cycles of injections of IL-7 could help maintaining [Formula: see text] T lymphocytes levels over the limit of 500 cells/[Formula: see text]L, by affecting proliferation and survival of [Formula: see text] T cells. We then aim at answering the question: how to maintain a patients level of [Formula: see text] T lymphocytes by using a minimum number of injections (i.e., optimizing the strategy of injections)? Based on mechanistic models that were previously developed for the dynamics of [Formula: see text] T lymphocytes in this context, we model the process by a piecewise deterministic Markov model. We then address the question by using some recently established theory on impulse control problem in order to develop a numerical tool determining the optimal strategy. Results are obtained on a reduced model, as a proof of concept: the method allows to define an optimal strategy for a given patient. This method could be applied to optimize injections schedules in clinical trials.
dc.language.isoENen_US
dc.subject.enSISTM
dc.subject.enDynamic programming
dc.subject.enImmune therapy
dc.subject.enOptimal control
dc.title.enControlling IL-7 Injections in HIV-Infected Patients
dc.title.alternativeBull Math Biolen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s11538-018-0465-8en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed30073567en_US
bordeaux.journalBulletin of Mathematical Biologyen_US
bordeaux.page2349-2377en_US
bordeaux.volume80en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - U1219en_US
bordeaux.issue9en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.teamSISTM_BPH
bordeaux.teamSISTM
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03063888
hal.version1
hal.date.transferred2021-03-05T15:14:35Z
hal.exporttrue
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