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Benninger, R. K.

Publications and source records attributed to Benninger, R. K..

20 records · Page 2Linked to original sources

Optogenetic Stimulation of Pancreatic Function via Vagal Cholinergic Axons

Previous studies have demonstrated stimulation of endocrine pancreas function by vagal nerve electrical stimulation. While this increases insulin secretion; concomitant reductions in circulating glucose do not occur. A complicating factor is the non-specific nature of electrical nerve stimulation. Optogenetic tools enable high specificity in neural stimulation using cell-type specific targeting of opsins and/or spatially shaped excitation light. Here, we demonstrate light-activated stimulation of the endocrine pancreas by targeting vagal parasympathetic axons. In a mouse model expressing ChannelRhodopsin2 (ChR2) in cholinergic cells, serum insulin and glucose were measured in response to both ultrasound image-guided optical stimulation of axon terminals in the pancreas and optical stimulation of axons of the cervical vagus nerve, together with ultrasound-based measures of pancreas blood flow. Measurements were made in basal-glucose and glucose-stimulated conditions. Significant increases in plasma insulin occurred relative to controls under both pancreas and vagal stimulation, accompanying rapid reductions in glycemic levels. Additionally, a significant increase in pancreatic blood flow was measured following optical stimulation. Together, these results demonstrate the utility of in-vivo optogenetics for studying the neural regulation of endocrine pancreas function and suggest therapeutic potential for the control of insulin secretion and glucose homeostasis.

bioengineering↗

How heterogeneity in glucokinase and gap junction coupling determines the islet electrical response

Understanding how cell sub-populations in a tissue impact the function of the overall system is often challenging. There is extensive heterogeneity among insulin-secreting {beta}-cells within islets of Langerhans, including their insulin secretory response and gene expression profile; and this heterogeneity can be altered in diabetes. Several studies have identified variations in nutrient sensing between {beta}-cells, including glucokinase (GK) levels, mitochondrial function or expression of genes important for glucose metabolism. Sub-populations of {beta}-cells with defined electrical properties can disproportionately influence islet-wide free-calcium activity ([Ca2+]) and insulin secretion, via gap junction electrical coupling. However, it is poorly understood how sub-populations of {beta}-cells with altered glucose metabolism may impact islet function. To address this, we utilized a multicellular computational model of the islet in which a population of cells deficient in GK activity and glucose metabolism was imposed on the islet, or where {beta}-cells were heterogeneous in glucose metabolism and GK kinetics were altered. This included simulating Glucokinase gene (GCK) mutations that cause monogenic diabetes. We combined these approaches with experimental models in which gck was genetically deleted in a population of cells or GK was pharmacologically inhibited. In each case we modulated gap junction electrical coupling. Both the simulated islet and the experimental system required 30-50% of the cells to have near-normal glucose metabolism. Below this number, the islet lacked any glucose-stimulated [Ca2+] elevations. In the absence of electrical coupling the change in [Ca2+] was more gradual. As such, given heterogeneity in glucose metabolism, electrical coupling allows a large minority of cells with normal glucose metabolism to promote glucose-stimulated [Ca2+]. If insufficient numbers of cells are present, which we predict can be caused by a subset of GCK mutations that cause monogenic diabetes, electrical coupling exacerbates [Ca2+] suppression. This demonstrates precisely how heterogeneous {beta}-cell populations interact to impact islet function.\n\nSIGNIFICANCEBiological tissues contain heterogeneous populations of cells. Insulin-secreting {beta}-cells within the islets of Langerhans are critical for regulating blood glucose homeostasis. {beta}-cells are heterogeneous but it is unclear how the islet response is impacted by different cell populations and their interactions. We use a multicellular computational model and experimental systems to predict and quantify how cellular populations defined by varied glucose metabolism interact via electrical communication to impact islet function. When glucose metabolism is heterogeneous, electrical coupling is critical to promote electrical activity. However, when cells deficient in glucose metabolism are in the majority, electrical activity is completely suppressed. Thus modulating electrical communication can promotes islet electrical activity, following dysfunction caused by gene mutations that impact glucose metabolism.

biophysics↗