mProX™ Human NPY1R Stable Cell Line

Robinson SL, et al. "Basolateral amygdala neuropeptide Y system modulates binge ethanol consumption.." Neuropsychopharmacology : official publication of the American College of , 2023.
The regulation of corticolimbic communication by neuropeptide Y (NPY) signaling has been shown to affect binge-like ethanol consumption in rodents. This study aimed to evaluate the impact of NPY system modulation in the basolateral amygdala (BLA) on binge-like ethanol intake and to examine the role of the BLA to medial prefrontal cortex (mPFC) projection in this behavior. Using drinking-in-the-dark (DID) procedures, C57BL6J mice were used to assess the effect of intra-BLA administration of NPY on binge-like ethanol intake and the impact of repeated cycles of DID on NPY1R expression in the BLA through immunohistochemistry. Additionally, chemogenetic inhibition of BLA to mPFC NPY1R+ projections was also evaluated to determine the involvement of limbic communication in binge-like ethanol intake. Both male and female mice were included in the study due to the sexual dimorphism of the BLA and NPY system. Results showed that intra-BLA NPY dose-dependently reduced binge-like ethanol intake in male mice only. Repeated DID reduced NPY1R expression in the BLA of both sexes. Silencing of BLA to mPFC NPY1R+ neurons significantly reduced binge-like ethanol intake in both male and female mice in a dose-dependent manner. Thus, this study provides new evidence that (1) intra-BLA NPY reduces binge-like ethanol intake in males, (2) binge-like ethanol intake decreases NPY1R levels in the BLA, and (3) chemogenetic inhibition of BLA to mPFC NPY1R+ neurons attenuates binge-like drinking in both sexes. These findings highlight the crucial role of NPY signaling in the BLA and its communication with the mPFC in regulating binge-like ethanol consumption.
Pubmed: 37758802   DOI: 10.1038/s41386-023-01742-w

Hua Y, et al. "Identification and analysis of key genes in adipose tissue for human obesity ." Gene, 2023.
The condition of obesity is known to be influenced by a range of factors including genetics, behavior, and environment. However, the specific genetic mechanisms underlying obesity are not well understood. Therefore, researchers conducted a study using bioinformatics analysis to identify key genes related to human obesity. They downloaded microarray datasets from the Gene Expression Omnibus database and used Lasso regression and Support Vector Machine algorithms to select five feature genes (EGR2, NPY1R, GREM1, BMP3, and COL8A1). Various bioinformatics analyses revealed potential signaling pathways and immune interactions related to these feature genes, which were found to have good predictive and diagnostic efficacy for obesity. In validation experiments, EGR2, NPY1R, and GREM1 were identified as key genes for obesity, potentially serving as diagnostic biomarkers. This study highlights the importance of these genes in understanding and treating obesity in humans.
Pubmed: 37659596   DOI: 10.1016/j.gene.2023.147755