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Title

Combining ¹H-NMR-based metabonomics and network pharmacology to dissect the mechanism of antidepression effect of Milletia speciosa Champ on mouse with chronic unpredictable mild stress-induced depression.

Authors

Zhiheng Su; Junxiang Ruan; Xi Liu; Hua Zheng; Jingzhou Ruan; Yuying Lu; Bang Cheng; Fang Wu; Jinxia Wu; Xuwen Liu; Fangming Song; Zhaoni Chen; Hui Song; Yonghong Liang; Hongwei Guo

Abstract

Objectives Milletia speciosa Champ (MS), a traditional Chinese medicine, has the abilities of antistress, antifatigue, anti-oxidation and so on. In our previous study, MS was found to antidepression while the underlying mechanism of which needs further elucidation. Methods Here, a proton nuclear magnetic resonance (¹H-NMR)-based metabonomics combined network pharmacology research approach was performed to investigate the antidepressive mechanism of MS act on mouse with chronic unpredictable mild stress-induced depression. Key findings Results showed that MS could alleviate the ethology of depression (including sucrose preference degree, crossing lattice numbers and stand-up times) and disordered biochemical parameters (5-hydroxytryptamine, norepinephrine and brain-derived neurotrophic factor). Metabonomics study and network pharmacology analysis showed that MS might improve depression through synergistically regulating five targets including Maoa, Maob, Ache, Ido1 and Comt, and three metabolic pathways such as tryptophan metabolism, synthesis of neurotransmitter and phospholipid metabolism. Conclusions This study for the first time preliminary clarified the potential antidepressive mechanism of MS and provided theoretical basis for developing MS into novel effective antidepressant.

Subjects

PROTON magnetic resonance; ANTIDEPRESSANTS; BRAIN-derived neurotrophic factor; NUCLEAR magnetic resonance; CHINESE medicine; PHARMACOLOGY

Publication

Journal of Pharmacy & Pharmacology, 2021, Vol 73, Issue 7, p881

ISSN

0022-3573

Publication type

Academic Journal

DOI

10.1093/jpp/rgaa010

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