Pancreatic neuro-insular network in young mice revealed by 3D panoramic histology

Abstract

Aims/hypothesis: It has been proposed that the neuro-insular network enables rapid, synchronised insulin secretion. However, to date, acquiring the pancreatic tissue map to study the neural network remains a challenging task as there is a lack of feasible approaches for large-scale tissue analysis at the organ level. Here, we have developed 3-dimensional (3D) panoramic histology to characterise the pancreatic neuro-insular network in young mice. Methods: Pancreases harvested from young wild-type B6 mice (3 and 8 weeks old) and db/db mice (3 weeks old; db/db vs db/+) were used to develop 3D panoramic histology. Transparent pancreases were prepared by optical clearing to enable deep-tissue, tile-scanning microscopy for qualitative and quantitative analyses of islets and the pancreatic tissue network in space. Results: 3D panoramic histology reveals the pancreatic neurovascular network and the coupling of ganglionic and islet populations via the network. This integration is identified in both 3- and 8-week-old mice, featuring the peri-arteriolar neuro-insular network and islet–ganglionic aggregation. In weaning hyperphagic db/db mice, the 3D image data identifies the associated increases in weight, adipose tissue attached to the pancreas, density of large islets (major axis > 150 μm) and pancreatic sympathetic innervation compared with db/+ mice. Conclusions/interpretation: Our work provides insight into the neuro-insular integration at the organ level and demonstrates a new approach for investigating previously unknown details of the pancreatic tissue network in health and disease.