Gypenoside XVII, an Active Ingredient from Gynostemma Pentaphyllum, Inhibits C3aR-Associated Synaptic Pruning in Stressed Mice.
Man-Man ZhangGuo-Ming HuoJie ChengQiu-Ping ZhangNa-Zhi LiMin-Xia GuoQing LiuGuang-Hui XuJi-Xiao ZhuCheng-Fu LiFeng ZhouLi-Tao YiPublished in: Nutrients (2022)
Gynostemma pentaphyllum is a herbal medicine widely used in Asian countries, and its saponin extracts have been shown to possess potent anti-inflammatory effects. Gypenoside XVII, an active ingredient isolated from Gynostemma pentaphyllum, has been found to alleviate the inflammation induced by LPS in the BV2 microglia, according to our preliminary study. This study aims to evaluate whether Gypenoside XVII could attenuate depression-like symptoms in vivo and tries to demonstrate the involvement of the complement regulation in its antidepressant-like effect. The results showed that Gypenoside XVII significantly attenuated depression-like behaviors in the forced swimming test, tail suspension test and sucrose preference test. It also alleviated the acute stress-induced hyperactivity of serum corticosterone levels. Additionally, Gypenoside XVII significantly inhibited the activation of microglia and the expression of C3 in mice exposed to chronic unpredictable mild stress (CUMS). Meanwhile, the activation of C3aR/STAT3 signaling and the expression of proinflammatory cytokines was reversed by Gypenoside XVII. Moreover, CUMS induced excessive synaptic pruning by activating microglia, while Gypenoside XVII restored it in the prefrontal cortex. Our data demonstrated that Gypenoside XVII, the active ingredient of Gynostemma pentaphyllum, produced the antidepressant-like effects in mice, which was mediated by the inhibition of complement C3/C3aR/STAT3/cytokine signaling in the prefrontal cortex.
Keyphrases
- prefrontal cortex
- stress induced
- inflammatory response
- poor prognosis
- high fat diet induced
- neuropathic pain
- depressive symptoms
- cell proliferation
- major depressive disorder
- drug induced
- oxidative stress
- sleep quality
- signaling pathway
- liver failure
- spinal cord
- type diabetes
- lipopolysaccharide induced
- intensive care unit
- high glucose
- endothelial cells
- anti inflammatory
- machine learning
- diabetic rats
- insulin resistance
- body mass index
- binding protein
- weight gain
- heat stress
- data analysis