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Parameters estimation approach for the MEA/hiPSC-CM assays

hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorBOUYSSIER, Julien
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorBENDAHMANE, Mostafa
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorCOUDIÈRE, Yves
hal.structure.identifierNumerical simulation of biological flows [REO]
dc.contributor.authorGERBEAU, Jean-Frédéric
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorPEDRON, Julien
hal.structure.identifierNOTOCORD Systems
dc.contributor.authorZITOUN, Philippe
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorZEMZEMI, Nejib
dc.date.accessioned2024-04-04T03:12:33Z
dc.date.available2024-04-04T03:12:33Z
dc.date.conference2016-09-27
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193874
dc.description.abstractEnWe propose a mathematical approach for the analysis of drugs effects on the electrical activity of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) based on multi-electrode array (MEA) experiments. Our goal is to produce an in silico tool able to simulate drugs action in MEA/hiPSC-CM assays and to fit the drug model parameters to the experimental data. The electrical activity of the stem cells at the ion-channel level is modelled using the Paci et.al. (2013) transmembrane potential model. We use the bidomain model in order to describe the propagation of the electrical wave in the stem cells preparation. The field potential (FP) measured by the MEA is modeled by the extra-cellular potential of the bidomain equations. First, we propose a strategy allowing us to generate a FP in good agreement with the experimental data. Second, we introduce a drug/ion channels interaction based on a pore block model. We conduct different simulations for five drugs. Results show that the model reflects properly the main effects of these drugs on the FP. In order to estimate the parameters of the drug model, we define a cost function minimizing the distance between the simulated and the experimental FPs. We use an optimization procedure based on a gradient descent method where the cost function gradient is computed using an adjoint approach. Results, based on simulated observations, show that this procedure is able to estimate either the drug doze or its IC50 value.
dc.description.sponsorshipModélisation, simulation et traitement du signal en électrophysiologie cardiaque - ANR-13-LAB1-0007
dc.language.isoen
dc.title.enParameters estimation approach for the MEA/hiPSC-CM assays
dc.typeAutre communication scientifique (congrès sans actes - poster - séminaire...)
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
dc.subject.halMathématiques [math]/Analyse numérique [math.NA]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleJournées scientifiques du LIRYC
bordeaux.countryFR
bordeaux.conference.cityPessac
bordeaux.peerReviewedoui
hal.identifierhal-01409683
hal.version1
hal.invitednon
hal.proceedingsnon
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01409683v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=BOUYSSIER,%20Julien&BENDAHMANE,%20Mostafa&COUDI%C3%88RE,%20Yves&GERBEAU,%20Jean-Fr%C3%A9d%C3%A9ric&PEDRON,%20Julien&rft.genre=conference


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