Affordable Access

Access to the full text

Xiaoyaosan Produces Antidepressant Effects in Rats via the JNK Signaling Pathway

Authors
  • Zhao, Hong-Bo
  • Jiang, You-Ming
  • Hou, Ya-Jing
  • Yan, Zhi-Yi
  • Liu, Yue-Yun
  • Li, Xiao-Juan
  • Gong, Wei-Jun
Type
Published Article
Journal
Complementary Medicine Research
Publisher
S. Karger GmbH
Publication Date
Aug 08, 2019
Volume
27
Issue
1
Pages
47–54
Identifiers
DOI: 10.1159/000501995
PMID: 31394544
Source
Karger
Keywords
License
Green
External links

Abstract

Background: Xiaoyaosan (XYS) has achieved definite curative effects in clinic. However, the mechanism is not clear. Previous studies of our team indicated XYS improved anxiety-like behaviors through inhibiting c-Jun N-terminal kinase (JNK) signaling pathway of hippocampus. Objectives: In the study, we explored whether the JNK signaling pathway is involved in the mechanism of XYS treating depression. Method: Forty-eight rats were divided randomly into 4 groups (n = 12): the control group (deionized water, p.o.), the model group (deionized water, p.o.), the fluoxetine group (2.08 mg/kg/day, p.o.), and the XYS group (3.9 g/kg/day, p.o.). All rats except for the control group were given continuous 21 days of chronic immobilization stress (CIS; 3 h/day). On day 29, the body weights and the behavioral tests, including the novelty suppressed feeding test, the open field test, and the elevated plus maze test, were measured. On day 30, all the rats were sacrificed, and three indices of the JNK signaling pathway were tested by Western blot. Results: The body weight and behavioral tests of all groups indicated that 21 days of CIS induced depression-like behaviors. After 21 days of treatment with fluoxetine and XYS, changes were seen in body weight, behaviors, and JNK, phosphorylated JNK (P-JNK), and phosphorylated c-Jun (P-c-Jun) levels in the hippocampus. Conclusions: XYS ameliorated the depression-like behaviors, potentially through affecting the JNK signaling pathway in the hippocampus.

Report this publication

Statistics

Seen <100 times