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Microphysiological pancreas-on-chip platform with integrated sensors to model endocrine function and metabolism.
Schlünder, Katharina; Cipriano, Madalena; Zbinden, Aline; Fuchs, Stefanie; Mayr, Torsten; Schenke-Layland, Katja; Loskill, Peter.
Afiliación
  • Schlünder K; Department for Microphysiological Systems, Institute of Biomedical Engineering, Eberhard Karls University Tübingen, Tübingen, Germany. peter.loskill@uni-tuebingen.de.
  • Cipriano M; NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.
  • Zbinden A; Department for Microphysiological Systems, Institute of Biomedical Engineering, Eberhard Karls University Tübingen, Tübingen, Germany. peter.loskill@uni-tuebingen.de.
  • Fuchs S; Department for Medical Technologies and Regenerative Medicine, Institute of Biomedical Engineering, Eberhard Karls University Tübingen, Tübingen, Germany.
  • Mayr T; Institute for Analytical Chemistry and Food Chemistry, Graz University of Technology, Graz, Austria.
  • Schenke-Layland K; Institute for Analytical Chemistry and Food Chemistry, Graz University of Technology, Graz, Austria.
  • Loskill P; NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.
Lab Chip ; 24(7): 2080-2093, 2024 03 26.
Article en En | MEDLINE | ID: mdl-38441218
ABSTRACT
Pancreatic in vitro research is of major importance to advance mechanistic understanding and development of treatment options for diseases such as diabetes mellitus. We present a thermoplastic-based microphysiological system aiming to model the complex microphysiological structure and function of the endocrine pancreas with concurrent real-time read-out capabilities. The specifically tailored platform enables self-guided trapping of single islets at defined locations ß-cells are assembled to pseudo-islets and injected into the tissue chamber using hydrostatic pressure-driven flow. The pseudo-islets can further be embedded in an ECM-like hydrogel mimicking the native microenvironment of pancreatic islets in vivo. Non-invasive real-time monitoring of the oxygen levels on-chip is realized by the integration of luminescence-based optical sensors to the platform. To monitor insulin secretion kinetics in response to glucose stimulation in a time-resolved manner, an automated cycling of different glucose conditions is implemented. The model's response to glucose stimulation can be monitored via offline analysis of insulin secretion and via specific changes in oxygen consumption due to higher metabolic activity of pseudo-islets at high glucose levels. To demonstrate applicability for drug testing, the effects of antidiabetic medications are assessed and changes in dynamic insulin secretion are observed in line with the respective mechanism of action. Finally, by integrating human pancreatic islet microtissues, we highlight the flexibility of the platform and demonstrate the preservation of long-term functionality of human endocrine pancreatic tissue.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Islotes Pancreáticos / Insulina Límite: Humans Idioma: En Revista: Lab Chip Asunto de la revista: BIOTECNOLOGIA / QUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Islotes Pancreáticos / Insulina Límite: Humans Idioma: En Revista: Lab Chip Asunto de la revista: BIOTECNOLOGIA / QUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Alemania