English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Pancreatic beta cells are coupled excitable oscillators that synchronizetheir activity via different communication pathways. Their oscillatory activitymanifests itself on multiple timescales and consists of bursting electricalactivity, subsequent oscillations in the intracellular Ca2+, as well asoscillations in metabolism and exocytosis. The coordination of the intricateactivity on the multicellular level plays a key role in the regulation ofphysiological pulsatile insulin secretion and is incompletely understood. Inthis contribution, we investigate theoretically the principles that give riseto the synchronized activity of beta cell populations by building up aphenomenological multicellular model that incorporates the basic features ofbeta cell dynamics. Specifically, the model is composed of coupled slow andfast oscillatory units that reflect metabolic processes and electricalactivity, respectively. Using a realistic description of the intercellularinteractions, we study how the combination of electrical and metabolic couplinggenerates collective rhythmicity and shapes functional beta cell networks. Itturns out that while electrical coupling solely can synchronize the responses,the addition of metabolic interactions further enhances coordination, thespatial range of interactions, increases the number of connections in thefunctional beta cell networks, and ensures a better consistency withexperimental findings. Moreover, our computational results provide additionalinsights into the relationship between beta cell heterogeneity, their activityprofiles, and functional connectivity, supplementing thereby recentexperimental results on endocrine networks.

Both electrical and metabolic coupling shape the collective multimodal  activity and functional connectivity patterns in beta cell collectives: A  computational model perspective