Back

Locally released somatostatin triggers cAMP and Ca2+ signaling in primary cilia to modulate pancreatic β-cell function

Incedal Nilsson, C.; Dumral, O.; Sanchez, G.; Xie, B.; Mueller, A.; Solimena, M.; Ren, H.; Idevall-Hagren, O.

2024-06-06 cell biology
10.1101/2024.06.05.597562 bioRxiv
Show abstract

Somatostatin is produced and released from {delta}-cells within pancreatic islets of Langerhans and constitutes one of the most important negative regulators of islet hormone secretion. Somatostatin receptors (SSTR) are abundantly expressed in the islet cells and coupled to Gi and lowering of intracellular cAMP. We find that both SSTR3 and SSTR5 localize to primary cilia of {beta}-cells, and that activation of these receptors lowers the ciliary cAMP concentration. cAMP produced in the cytosol can enter the cilium through diffusion, but activation of ciliary SSTR3 specifically counteracts the rise of cAMP in the cilium. Moreover, we find that islet {delta}-cells are positioned near primary cilia of the other islet cell types and that somatostatin secretion is directed towards primary cilia. While acute exposure to somatostatin caused a rapid lowering of ciliary cAMP, sustained exposure promoted nuclear entry of the cilia-dependent transcription factor GLI2 through a mechanism that operated in parallel with the canonical Hedgehog pathway and depended on ciliary Ca2+ signaling. We also find that primary cilia length is reduced in islets from human donors with type-2 diabetes, which is associated with a reduction in cilia-{delta}-cell interactions. Our findings show that islet cell primary cilia constitute an important target of somatostatin action that endows it with the ability to regulate islet cell function beyond the acute suppression of hormone release.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.