Year: 2017
Type: article
Abstract: Our previous studies have indicated that ultrasound can stimulate the release of insulin from pancreatic beta cells, providing a potential novel treatment for type 2 diabetes. The purpose of this study was to explore the temporal dynamics and Ca 2+ -dependency of ultrasound-stimulated secretory events from dopamine-loaded pancreatic beta cells in an in vitro setup. Carbon fiber amperometry was used to detect secretion from INS-1832/13 beta cells in real time. The levels of released insulin were also measured in response to ultrasound treatment using insulin-specific ELISA kit. Beta cells were exposed to continuous wave 800 kHz ultrasound at intensities of 0.1 W/cm 2 , 0.5 W/cm 2 and 1 W/cm 2 for several seconds. Cell viability tests were done with trypan blue dye exclusion test and MTT analysis. Carbon fiber amperometry experiments showed that application of 800 kHz ultrasound at intensities of 0.5 and 1 W/cm 2 was capable of stimulating secretory events for durations lasting as long as the duration of the stimulus. Furthermore, the amplitude of the detected peaks was reduced by 64% ( p < 0.01) when extracellular Ca 2+ was chelated with 10 mM EGTA in cells exposed to ultrasound intensity of 0.5 W/cm 2 . Measurements of released insulin in response to ultrasound stimulation showed complete inhibition of insulin secretion by chelating extracellular Ca 2+ with 10 mM EGTA ( p < 0.01). Viability studies showed that 800 kHz, 0.5 W/cm 2 ultrasound did not cause any significant effects on viability and metabolic activity in cells exposed to ultrasound as compared to sham-treated cells. Our results demonstrated that application of ultrasound was capable of stimulating the release of insulin from pancreatic beta cells in a safe, controlled and Ca 2+ -dependent manner.
Authors: Ivan Suarez Castellanos, Tania Singh, Bogdan Balteanu, Diti Chatterjee Bhowmick, Aleksandar Jeremic, Vesna Zderic
Institution: George Washington University
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W2768319895