Aims: N-Demethylsinomenine (NDSM) demonstrates good analgesic efficacy in preclinical pain models. However, how NDSM exerts analgesic actions remains unknown.
Methods: We examined the analgesic effects of NDSM using both pain-evoked and pain-suppressed behavioral assays in two persistent pain models. Then western blot assay and immunofluorescence staining were used to investigate the effects of NDSM on the expression of the GABA receptor α2 subunit (GABRA2) and inflammatory factors in the spinal cord and brain tissues of male spared nerve injury (SNI) mice. Finally, the individual subtypes of GABARs (α1, α2, α3, and α5) were respectively silenced by viral-mediated knockdown to explore the involvement of subtypes of GABARs in the effects of NDSM on the pain-like behaviors in male SNI mice.
Results: NDSM demonstrated significant analgesic effects against chronic pain both in pain-evoked and pain-suppressed behavioral assays. NDSM treatment significantly reversed the SNI induced down-regulation of GABRA2 and up-regulation of TNF-α and IL-1β. The analgesic effects of NDSM were completely blocked by silencing GABRA2 or partially blocked by silencing GABRA3.
Conclusion: This study provided the first evidence that the analgesic effects of NDSM are mediated primarily by GABRA2 and partially by GABRA3, and the inhibition of neuroinflammation also contributes to the analgesic effects of NDSM.
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http://dx.doi.org/10.1111/cns.70197 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11696256 | PMC |
CNS Neurosci Ther
January 2025
School of Pharmacy, Nantong University, Nantong, Jiangsu, China.
Aims: N-Demethylsinomenine (NDSM) demonstrates good analgesic efficacy in preclinical pain models. However, how NDSM exerts analgesic actions remains unknown.
Methods: We examined the analgesic effects of NDSM using both pain-evoked and pain-suppressed behavioral assays in two persistent pain models.
Sci Rep
November 2024
School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, 650093, China.
Land Use/Cover Change (LUCC) plays a crucial role in sustainable land management and regional planning. However, contemporary feature extraction approaches often prove inefficient at capturing critical data features, thereby complicating land cover categorization. In this research, we introduce a new feature extraction algorithm alongside a Segmented and Stratified Principal Component Analysis (SS-PCA) dimensionality reduction method based on correlation grouping.
View Article and Find Full Text PDFMaterials (Basel)
August 2024
Faculty of Physics, Sofia University "St. Kliment Ohridski", J. Bouchier Blvd. 5, 1164 Sofia, Bulgaria.
Using a microscopic model and the Green's function theory, the size and co-doping effects on the multiferroic and optical (band gap) properties of BiFeO (BFO) nanoparticles are investigated. The magnetization increases, whereas the band gap energy decreases with decreasing nanoparticle size. The substitution with Co/Mn, Nd/Sm, Ce/Ni, and Cd/Ni is discussed and explained on a microscopic level.
View Article and Find Full Text PDFiScience
January 2024
Yunnan Earthquake Agency, Kunming 650224, China.
Accurate and effective identification, determination of the location, and classification of damaged buildings are essential after destructive earthquakes. However, the accuracy of image change detection is limited because of the many texture features and changes in non-building information. In this context, a model for single-building damage detection based on multi-feature fusion is proposed.
View Article and Find Full Text PDFFront Chem
July 2023
School of Pharmacy, Nantong University, Nantong, Jiangsu, China.
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