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Resolving spatiotemporal electrical signaling within the islet via CMOS microelectrode arrays

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posted on 2024-11-25, 19:19 authored by Anne Gresch, Jana Osthues, Jan D. Hüwel, Jennifer K. Briggs, Tim Berger, Ruben Koch, Thomas Deickert, Christian Beecks, Richard K.P. Benninger, Martina Düfer

Glucose-stimulated beta-cells exhibit synchronized calcium dynamics across the islet that recruit beta-cells to enhance insulin secretion. Compared to calcium dynamics, the formation and cell-to-cell propagation of electrical signals within the islet are poorly characterized. To determine factors that influence the propagation of electrical activity across the islet underlying calcium oscillations and beta-cell synchronization, we used high-resolution CMOS multielectrode arrays (MEA) to measure voltage changes associated with the membrane potential of individual cells within intact C57BL6 mouse islets. We measured fast (milliseconds, spikes) and slow (seconds, waves) voltage dynamics. Single spike activity and wave signal velocity were both glucose-dependent, but only spike activity was influenced by NMDA receptor activation or inhibition. A repeated glucose stimulus revealed a highly responsive subset of cells in terms of spike activity. When islets were pretreated for 72 hours with glucolipotoxic medium, the wave velocity was significantly reduced. Network analysis confirmed that in response to glucolipotoxicity the synchrony of islet cells was affected due to slower propagating electrical waves and not due to altered spike activity. In summary, this approach provided novel insight regarding the propagation of electrical activity and the disruption of cell-to-cell communication due to excessive stimulation.

Funding

This study was funded by Deutsche Forschungsgemeinschaft (MD, Research Training Group GRK 2515, Chemical Biology of Ion Channels). The data analysis research was supported by the research training group ‘Dataninja’ (CB, Trustworthy AI for Seamless Problem Solving: Next Generation Intelligence Joins Robust Data Analysis) funded by the German federal state of North Rhine-Westphalia. Furthermore, funding was provided by the National Institute of Health (NIH) grant R01 DK102950 (RKPB), R01 DK106412 (RKPB) and National Science Foundation (NSF) Graduate Research Fellowship DGE-1938058_Briggs (JKB).

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