Literature DB >> 31381945

Somatostatin and cannabinoid receptors crosstalk in protection of huntingtin knock-in striatal neuronal cells in response to quinolinic acid.

Shenglong Zou1, Ujendra Kumar2.   

Abstract

In the present study, we describe the status of somatostatin receptor 2 and 5 (SSTR2 and SSTR5) as well as cannabinoid type 1 receptor (CB1R) in Huntingtin (Htt) knock-in striatal neuronal cells. In mutant Htt (mHtt) knock-in (STHdhQ111/111) and wild type (STHdhQ7/7) striatal neuronal cells, SSTRs and CB1R exhibit prominent cytoplasmic expression and respond to agonist in a receptor specific manner. In response to quinolinic acid (QUIN)-induced toxicity, STHdhQ111/111 cells are more vulnerable and display suppressed cell survival signaling pathways. Receptor-specific agonists protect cells from QUIN-induced toxicity and activate ERK1/2 in both STHdh cells. Co-activation of SSTRs and CB1R resulted in loss of protective effects, delayed ERK1/2 phosphorylation and altered receptor complex composition. These results provide firsthand evidence in support of the protective role of SSTRs in STHdh cells and the possible crosstalk between SSTRs and CB1R in the modulation of excitotoxicity in Huntington's disease.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cannabinoid receptor 1; Excitotoxicity; Huntington's disease; STHdh cells; Somatostatin receptor

Mesh:

Substances:

Year:  2019        PMID: 31381945     DOI: 10.1016/j.neuint.2019.104518

Source DB:  PubMed          Journal:  Neurochem Int        ISSN: 0197-0186            Impact factor:   3.921


  2 in total

1.  Fibroblast Growth Factor 9 Stimulates Neuronal Length Through NF-kB Signaling in Striatal Cell Huntington's Disease Models.

Authors:  Issa Olakunle Yusuf; Hsiu-Mei Chen; Pei-Hsun Cheng; Chih-Yi Chang; Shaw-Jenq Tsai; Jih-Ing Chuang; Chia-Ching Wu; Bu-Miin Huang; H Sunny Sun; Chuan-Mu Chen; Shang-Hsun Yang
Journal:  Mol Neurobiol       Date:  2021-01-09       Impact factor: 5.590

2.  Discovery of Novel Biomarkers for Diagnosing and Predicting the Progression of Multiple Sclerosis Using TMT-Based Quantitative Proteomics.

Authors:  Yijun Shi; Yaowei Ding; Guoge Li; Lijuan Wang; Rasha Alsamani Osman; Jialu Sun; Lingye Qian; Guanghui Zheng; Guojun Zhang
Journal:  Front Immunol       Date:  2021-08-20       Impact factor: 7.561

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.