Chinese Medicine Formula Kai-Xin-San Ameliorates Neuronal Inflammation of CUMS-Induced Depression-like Mice and Reduces the Expressions of Inflammatory Factors via Inhibiting TLR4/IKK/NF-κB Pathways on BV2 Cells.

Abstract

Kai-Xin-San (KXS) is a traditional Chinese medicinal formula composed of Ginseng Radix et Rhizoma, Polygalae Radix, Acori Tatarinowii Rhizoma, and Poria for relieving major depressive disorder and Alzheimer's disease in traditional Chinese medicine (TCM) clinics. Previous studies on the antidepressant mechanism of KXS mainly focused on neurotransmitter and neurotrophic factor regulation, but few reports exist on neuronal inflammation regulation. In the current study, we found that KXS exerted antidepressant effects in chronic unpredictable mild stress-induced depression-like mice according to the results of behavioral tests. Meanwhile, KXS also inhibited the activation of microglia and significantly reduced the expression of pro-inflammatory cytokines such as IL-1β, IL-2, and TNF-α in the hippocampus of mice. In mice BV2 microglia cell lines, KXS extract reduced the expression of inflammatory factors in BV2 cells induced by lipopolysaccharide via inhibiting TLR4/IKK/NF-κB pathways, which was also validated by the treatment of signaling pathway inhibitors such as TAK-242 and JSH-23. T0hese data implied that the regulation of pro-inflammatory cytokines in microglia might account for the antidepressant effect of KXS, thereby providing more scientific information for the development of KXS as an alternative therapy for major depressive disorder.

• Authors: Suchen Qu, Mengqiu Liu, Cheng Cao, Chongqi Wei, Xue-Er Meng, Qianyin Lou, Bin Wang, Xuan Li, Yuyan She, Qingqing Wang, Zhichao Song, Zhengxiang Han, Yue Zhu, Fei Huang, Jin-Ao Duan
• Journal: Frontiers in pharmacology (Front Pharmacol) Vol. 12 Pg. 626949 ( 2021) ISSN: 1663-9812 [Print] Switzerland
• PMID: 33790789 (Publication Type: Journal Article)
• Copyright: Copyright © 2021 Qu, Liu, Cao, Wei, Meng, Lou, Wang, Li, She, Wang, Song, Han, Zhu, Huang and Duan.