The dysfunction of mGluRIIs is involved in the disorder of hippocampal neural network in diabetic mice model

Cognitive dysfunction is a high incidence of diabetes mellitus (DM). However, the relationship between DM-induced cognitive defect and neuronal network oscillations is still unknown. In this study, adult male C57BL/6 J mice were intraperitoneally injected with streptozotocin (STZ) to duplicate DM. After 12 weeks, local field potentials were recorded in the perforant fiber pathway (PP) and dentate gyrus (DG) regions. Data showed that mice in the STZ group exhibited impairment of spatial learning and memory by the Morris Water Maze test. The low gamma (LG) and high gamma (HG) power were increased in the PP and DG areas of the STZ group. Moreover, the phase synchronization and the information flow at theta and LG rhythms between the PP and DG areas were decreased, and the theta-LG phase-amplitude coupling strength was markedly reduced in the PP region, DG region, and the PP-DG pathway in the STZ group. Additionally, the concentration of glutamate was increased by the high-performance liquid chromatography. Moreover, the NR2B and PSD95 expressions were markedly reduced, and the Akt/GSK-3 beta pathway was inhibited. Interestingly, the expressions of mGluRIIs (mGluR2 and mGluR3) were significantly decreased. The reduction of mGluRIIs may limit their function, such as restricting presynaptic glutamate release and reversing the dysfunction of NR2B via Akt/GSK-3 beta signaling pathway. In conclusion, our data suggest that DM alters the hippocampal neural network partly related to the dysfunction of mGluRIIs.

Automated summary

Cognitive dysfunction is a common occurrence in diabetes mellitus (DM), but the relationship between DM-induced cognitive defects and neuronal network oscillations is still not well understood. This study aimed to investigate the effects of DM on the hippocampal neural network and found that dysfunction of metabotropic glutamate receptors (mGluRs) may contribute to the alterations in neural network activity.