Study name | Wang C 2018 |
Title | [Analysis on dynamic variations of plasma metabolites of CUMS-induced depression rats by GC-MS metabolomics] |
Overall design | The aim of this study was to compare static and dynamic metabolomics data analysis of CUMS (chronic unpredictable mild stress)-induced depression, GC-MS spectrometry was conducted on the plasma metabolome. S-Plot and ANOVA (analysis of variance)-simultaneous component analysis (ASCA) were respectively applied to static and dynamic analysis of metabolomics data. Rats were divided into the following 2 groups (n = 8 in each group): (1) control group, (2) CUMS group. The CUMS stress procedure lasted for 4 weeks. |
Type1; | |
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 | 16 |
Tissue | Peripheral; Blood; Plasma; |
Platform | MS-based; GC-MS: Trace GC-PolarisQ Mass GC-MS (Thermo-Fisher, USA); |
PMID | |
DOI | |
Citation | Wang C, Jia X, Hou L, et al. [Analysis on dynamic variations of plasma metabolites of CUMS-induced depression rats by GC-MS metabolomics]. Acta Pharmaceutica Sinica. 2018,53 (6): 980-6. |
Metabolite |