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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorOLÇOMENDY, Loïc
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPIROG, Antoine
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorLEBRETON, Fanny
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorJAFFREDO, Manon
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorCASSANY, Louis
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorGUCIK-DERIGNY, David
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorCIESLAK, Jérôme
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorHENRY, David
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorLANG, Jochen
dc.contributor.authorCATARGI, Bogdan
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorRAOUX, Matthieu
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorBORNAT, Yannick
IDREF: 111969956
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorRENAUD, Sylvie
dc.date.accessioned2022-07-12T12:31:56Z
dc.date.available2022-07-12T12:31:56Z
dc.date.issued2022-02
dc.identifier.issn0018-9294en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140437
dc.description.abstractEnObjective: Current treatment of type 1 diabetes by closed-loop therapy depends on continuous glucose monitoring. However, glucose readings alone are insufficient for an artificial pancreas to truthfully restore nutrient homeostasis where additional physiological regulators of insulin secretion play a considerable role. Previously, we have developed an electrophysiological biosensor of pancreatic islet activity, which integrates these additional regulators through electrical measurements. This work aims at investigating the performance of the biosensor in a blood glucose control loop as potential in silico proof-of-concept. Methods: Two islet algorithm modelswere identified on experimental data recorded with the biosensor. First, we validated electrical measurement as a means to exploit the inborn regulation capabilities of islets for intravenous glucose measurement and insulin infusion. Subsequently, an artificial pancreas integrating the islet-based biosensor was compared to standard treatment approaches using subcutaneous routes. The closed-loop simulations were performed in the UVA/Padova T1DM Simulator where a series of realistic meal scenarios were applied to virtual diabetic patients. Results: With intravenous routes, the endogenous islet algorithms successfully restored glucose homeostasis for all patient categories (mean time in range exceeds 90%) while mitigating the risk of adverse glycaemic events (mean BGI < 2). Using subcutaneous routes, the biosensor-based artificial pancreas was as efficient as standard treatments, andoutperformed them under challenging conditions. Conclusion:This work validates the concept of using inborn pancreatic islets algorithms in an artificial pancreas in silico. Significance:Pancreatic islet endogenous algorithms obtained via an electrophysiological biosensor successfully regulate blood glucose levels of virtual type 1 diabetic patients.
dc.description.sponsorshipCapteurs bio-électroniques intégrant l'algorithme des îlots pour le contrôle de la glycémie en boucle ouverte et fermée - ANR-18-CE17-0005en_US
dc.language.isoENen_US
dc.subject.enArtificial pancreas
dc.subject.enBiosensor
dc.subject.enControl Algorithms
dc.subject.enDiabetes & endocrinology
dc.subject.enT1DM
dc.title.enIntegrating an Islet-Based Biosensor in the Artificial Pancreas: In Silico Proof-of-Concept
dc.typeArticle de revueen_US
dc.identifier.doi10.1109/TBME.2021.3109096en_US
dc.subject.halInformatique [cs]/Automatiqueen_US
dc.subject.halSciences de l'ingénieur [physics]/Electroniqueen_US
dc.subject.halSciences du Vivant [q-bio]/Biotechnologiesen_US
bordeaux.journalIEEE Transactions on Biomedical Engineeringen_US
bordeaux.page899-909en_US
bordeaux.volume69en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.issue2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03342685
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=IEEE%20Transactions%20on%20Biomedical%20Engineering&amp;rft.date=2022-02&amp;rft.volume=69&amp;rft.issue=2&amp;rft.spage=899-909&amp;rft.epage=899-909&amp;rft.eissn=0018-9294&amp;rft.issn=0018-9294&amp;rft.au=OL%C3%87OMENDY,%20Lo%C3%AFc&amp;PIROG,%20Antoine&amp;LEBRETON,%20Fanny&amp;JAFFREDO,%20Manon&amp;CASSANY,%20Louis&amp;rft.genre=article


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