Literature DB >> 24109652

A novel bioelectronic glucose sensor to process distinct electrical activities of pancreatic beta-cells.

Quang Vinh Nguyen, Anton Caro, Matthieu Raoux, Adam Quotb, Jean-Baptiste Floderer, Yannick Bornat, Sylvie Renaud, Jochen Lang.   

Abstract

Glucose sensors have improved and facilitated therapy for type 1 diabetes. However, they are still not capable to sense all physiological signals and to act in a closed-loop. Pancreatic β-cells have been shaped during evolution as biological sensors and offer the advantage to integrate all physiological signals in addition to glucose. Moreover, biosensors based on these cells may also serve for non-invasive and continuous long-term characterization of β-cells, drug research, tissue engineering and pre-transplantation quality control. β-cells alter their electrical activity upon exposure to glucose and physiological hormones and we have used these properties to design a biosensor. To this end signals were recorded extracellularly from islet cells kept on multi-electrode arrays. Slow and rapid oscillations were observed, both modulated by glucose. Especially slow oscillations are very robust and have an excellent signal/noise ratio. Signal processing functions were designed to separate the two activities to extract and analyze relevant parameters. These parameters correlate very well with either increasing or decreasing glucose concentrations. An electronic device is under construction, based on an embedded FPGA capable of processing multiple channels in parallel. In the future, such a device shall be used as a portable real-time biosensor regulating insulin delivery from a pump.

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Year:  2013        PMID: 24109652     DOI: 10.1109/EMBC.2013.6609465

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Slow potentials encode intercellular coupling and insulin demand in pancreatic beta cells.

Authors:  Fanny Lebreton; Antoine Pirog; Isma Belouah; Domenico Bosco; Thierry Berney; Paolo Meda; Yannick Bornat; Bogdan Catargi; Sylvie Renaud; Matthieu Raoux; Jochen Lang
Journal:  Diabetologia       Date:  2015-03-19       Impact factor: 10.122

2.  Multilevel control of glucose homeostasis by adenylyl cyclase 8.

Authors:  Matthieu Raoux; Pierre Vacher; Julien Papin; Alexandre Picard; Elzbieta Kostrzewa; Anne Devin; Julien Gaitan; Isabelle Limon; Martien J Kas; Christophe Magnan; Jochen Lang
Journal:  Diabetologia       Date:  2014-11-19       Impact factor: 10.122

3.  β Cells Operate Collectively to Help Maintain Glucose Homeostasis.

Authors:  Boris Podobnik; Dean Korošak; Maša Skelin Klemen; Andraž Stožer; Jurij Dolenšek; Marjan Slak Rupnik; Plamen Ch Ivanov; Petter Holme; Marko Jusup
Journal:  Biophys J       Date:  2020-04-15       Impact factor: 4.033

4.  Multimed: An Integrated, Multi-Application Platform for the Real-Time Recording and Sub-Millisecond Processing of Biosignals.

Authors:  Antoine Pirog; Yannick Bornat; Romain Perrier; Matthieu Raoux; Manon Jaffredo; Adam Quotb; Jochen Lang; Noëlle Lewis; Sylvie Renaud
Journal:  Sensors (Basel)       Date:  2018-06-30       Impact factor: 3.576

Review 5.  Neuromodulation of metabolic functions: from pharmaceuticals to bioelectronics to biocircuits.

Authors:  Benjamin J Seicol; Sebastian Bejarano; Nicholas Behnke; Liang Guo
Journal:  J Biol Eng       Date:  2019-08-01       Impact factor: 4.355

  5 in total

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