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Towards the Integration of an Islet-Based Biosensor in Closed-Loop Therapies for Patients With Type 1 Diabetes

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.authorCASSANY, Louis
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPIROG, Antoine
dc.contributor.authorFRANCO, Roberto
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorPUGINIER, Emilie
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.authorGUCIK-DERIGNY, David
IDREF: 167345648
dc.contributor.authorRÍOS, Héctor
dc.contributor.authorFERREIRA DE LOZA, Alejandra
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorGAITAN, Julien
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.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorCATARGI, Bogdan
hal.structure.identifierChimie et Biologie des Membranes et des Nanoobjets [CBMN]
dc.contributor.authorLANG, Jochen
IDREF: 085209600
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorHENRY, David
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorRENAUD, Sylvie
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorCIESLAK, Jérôme
dc.date.accessioned2022-08-26T09:03:31Z
dc.date.available2022-08-26T09:03:31Z
dc.date.issued2022-04-22
dc.identifier.issn1664-2392en_US
dc.identifier.otherhttps://www.frontiersin.org/articles/10.3389/fendo.2022.795225/full#supplementary-materialen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140592
dc.description.abstractEnIn diabetes mellitus (DM) treatment, Continuous Glucose Monitoring (CGM) linked with insulin delivery becomes the main strategy to improve therapeutic outcomes and quality of patients’ lives. However, Blood Glucose (BG) regulation with CGM is still hampered by limitations of algorithms and glucose sensors. Regarding sensor technology, current electrochemical glucose sensors do not capture the full spectrum of other physiological signals, i.e ., lipids, amino acids or hormones, relaying the general body status. Regarding algorithms, variability between and within patients remains the main challenge for optimal BG regulation in closed-loop therapies. This work highlights the simulation benefits to test new sensing and control paradigms which address the previous shortcomings for Type 1 Diabetes (T1D) closed-loop therapies. The UVA/Padova T1DM Simulator is the core element here, which is a computer model of the human metabolic system based on glucose-insulin dynamics in T1D patients. That simulator is approved by the US Food and Drug Administration (FDA) as an alternative for pre-clinical testing of new devices and closed-loop algorithms. To overcome the limitation of standard glucose sensors, the concept of an islet-based biosensor, which could integrate multiple physiological signals through electrical activity measurement, is assessed here in a closed-loop insulin therapy. This investigation has been addressed by an interdisciplinary consortium, from endocrinology to biology, electrophysiology, bio-electronics and control theory. In parallel to the development of an islet-based closed-loop, it also investigates the benefits of robust control theory against the natural variability within a patient population. Using 4 meal scenarios, numerous simulation campaigns were conducted. The analysis of their results then introduces a discussion on the potential benefits of an Artificial Pancreas (AP) system associating the islet-based biosensor with robust algorithms.
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.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.entype 1 diabetes
dc.subject.enartificial pancreas
dc.subject.enclosed-loop simulation
dc.subject.eninsulin therapy
dc.subject.enpancreatic islets
dc.subject.enmicro- electrode array
dc.subject.enbiosensor
dc.title.enTowards the Integration of an Islet-Based Biosensor in Closed-Loop Therapies for Patients With Type 1 Diabetes
dc.typeArticle de revueen_US
dc.identifier.doi10.3389/fendo.2022.795225en_US
dc.subject.halInformatique [cs]/Automatiqueen_US
dc.subject.halSciences du Vivant [q-bio]/Biotechnologiesen_US
dc.subject.halSciences de l'ingénieur [physics]/Electroniqueen_US
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Endocrinologie et métabolismeen_US
bordeaux.journalFrontiers in Endocrinologyen_US
bordeaux.volume13en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03648913
hal.version1
hal.exporttrue
workflow.import.sourcehal
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Frontiers%20in%20Endocrinology&rft.date=2022-04-22&rft.volume=13&rft.eissn=1664-2392&rft.issn=1664-2392&rft.au=OL%C3%87OMENDY,%20Lo%C3%AFc&CASSANY,%20Louis&PIROG,%20Antoine&FRANCO,%20Roberto&PUGINIER,%20Emilie&rft.genre=article


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