Study name | Liu XJ 2021a |
Title | Integrating hippocampal metabolomics and network pharmacology deciphers the antidepressant mechanisms of Xiaoyaosan |
Overall design | The aim of this study was to indicate the hippocampal metabolic fluctuations of depression and to demonstrate the potential action of Xiaoyaosan against depression from the aspect of hippocampal metabolomics. A hippocampal metabolomics method was applied to evaluate the efficacy of Xiaoyaosan on rat model of chronic unpredictable mild stress (CUMS). Sprague-Dawley rats were divided into the following 3 groups (n = 6 in each group): (1) control group, (2) CUMS group, and (3) CUMS + Xiaoyaosan group (stressor plus Xiaoyaosan treatment at the dose of 46.2 g/kg). The CUMS stress procedure lasted for 4 weeks, and drugs were administered via intragastric once per day during the model building period. |
Type1; Type2; | |
Data available | Unavailable |
Organism | Rat; Sprague-Dawley rat; |
Categories of depression | Animal model; Chronic mild stress model; Chronic mild stress model; |
Criteria for depression | Sucrose preference test |
Sample size | 18 |
Tissue | Central; Brain; Hippocampus; |
Platform | MS-based; GC-MS: Thermo Polaris Q Ion Trap mass spectrometer (Thermo Fisher Scientific Inc., MA, USA) with a DB-5MS capillary column; |
PMID | |
DOI | |
Citation | Liu X, Wei F, Liu H, et al. Integrating hippocampal metabolomics and network pharmacology deciphers the antidepressant mechanisms of Xiaoyaosan. J Ethnopharmacol. 2021 Mar 25;268:113549. |
Metabolite | myo-Inositol; Gamma-Aminobutyric acid; Linoleic acid; |