Human Islets Exhibit Electrical Activity on Microelectrode Arrays (MEA)
| Autor: | Udo Kraushaar, Elke Guenther, Felicia Gerst, Winfried Barthlen, Gisela Drews, Alfred Königsrainer, Sven Schönecker, Susanne Ullrich, Peter Krippeit-Drews, HU Häring |
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| Rok vydání: | 2015 |
| Předmět: |
endocrine system
medicine.medical_specialty endocrine system diseases Endocrinology Diabetes and Metabolism Biopsy Biology Membrane Potentials Tissue Culture Techniques chemistry.chemical_compound Islets of Langerhans Mice Endocrinology Tolbutamide KATP Channels Species Specificity Internal medicine Membrane Transport Modulators Insulin Secretion Internal Medicine Diazoxide medicine Extracellular Animals Humans Hypoglycemic Agents Insulin Child geography geography.geographical_feature_category General Medicine Middle Aged Islet Electric Stimulation Cell biology Transplantation Microelectrode Glucose chemistry Tissue Array Analysis Hyperglycemia Tetrodotoxin Beta cell Microelectrodes medicine.drug Sodium Channel Blockers |
| Zdroj: | Experimental and clinical endocrinologydiabetes : official journal, German Society of Endocrinology [and] German Diabetes Association. 123(5) |
| ISSN: | 1439-3646 |
| Popis: | This study demonstrates for the first time that the microelectrode array (MEA) technique allows analysis of electrical activity of islets isolated from human biopsies. We have shown before that this method, i. e., measuring beta cell electrical activity with extracellular electrodes, is a powerful tool to assess glucose responsiveness of isolated murine islets. In the present study, human islets were shown to exhibit glucose-dependent oscillatory electrical activity. The glucose responsiveness could be furthermore demonstrated by an increase of insulin secretion in response to glucose. Electrical activity was increased by tolbutamide and inhibited by diazoxide. In human islets bursts of electrical activity were markedly blunted by the Na+ channel inhibitor tetrodotoxin which does not affect electrical activity in mouse islets. Thus, the MEA technique emerges as a powerful tool to decipher online the unique features of human islets. Additionally, this technique will enable research with human islets even if only a few islets are available and it will allow a fast and easy test of metabolic integrity of islets destined for transplantation. |
| Databáze: | OpenAIRE |
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