Novel insights into antidepressant mechanism of Kai Xin San formula: Inhibiting NLRP3 inflammasome activation by promoting autophagy
- PMID: 34735906
- DOI: 10.1016/j.phymed.2021.153792
Novel insights into antidepressant mechanism of Kai Xin San formula: Inhibiting NLRP3 inflammasome activation by promoting autophagy
Abstract
Background: Kai Xin San (KXS) was widely applied for the treatment of depression for thousands of years. However, the underlying antidepressant mechanism of KXS remains not clear.
Purpose: This study aimed to investigate whether NLRP3 inflammasome and autophagy are involved in inflammation-induced depression and antidepressant mechanism of KXS.
Methods: Wistar rats were exposed to chronic unpredictable mild stress (CUMS) for 6 weeks, and KXS (3, 5, and 10 g/kg/d) was administrated during the last 2 weeks of CUMS procedure. The effects of KXS on depressive-like behaviors, neuroinflammation, NLRP3 inflammasome activation, and autophagy were investigated in CUMS rats. Rat astrocytes were employed to further explore the potential mechanism of KXS in regulating NLRP3 inflammasome and autophagy. Autophagy inhibitor 3-methyladenine (3-MA, 5 mM) was used in vitro to elucidate the role of autophagy in the antidepressant mechanism of KXS.
Results: In vivo, KXS improved depressive-like behaviors of CUMS rats in sucrose preference test, open field test and forced swimming test. Moreover, KXS inhibited the neuroinflammation induced by CUMS and promoted autophagy in prefrontal cortex of rats. The results in vitro further validated the anti-inflammatory and proautohapgic effects of KXS. More importantly, autophagy inhibitor 3-MA diminished the inhibitory effect of KXS on NLRP3 inflammasome activation in rat astrocytes.
Conclusion: KXS ameliorated CUMS-induced depressive behaviors in rats and inhibited the NLRP3 inflammasome-mediated inflammation in vivo and in vitro. These effects might be regulated by KXS-induced autophagy.
Keywords: Autophagy; Depression; Inflammation; Kai Xin San; NLRP3 inflammasome.
Copyright © 2021. Published by Elsevier GmbH.
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