Study M041
Study name | Gao XX 2014 |
Title | Selection and dynamic metabolic response of rat biomarkers by metabonomics and multivariate statistical analysis combined with GC-MS |
Overall design | Metabonomics by GC-MS and multivariate statistical analysis were used to select potential biomarkers associated with CUMS (chronic unpredictable mild stress) depression. The dynamic metabolic changes in rat serum were investigated to find potential disease biomarkers and to investigate the pathology of depression induced by the CUMS depression model. Serum samples were collected, and the serum metabolic profiling was carried out using GC-MS, followed by multivariate analysis. Rats were divided into the following two groups (n = 6 in each group): (1) control group and (2) CUMS group. The CUMS stress procedure lasted for 3 weeks. |
Study Type | 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 | 12 |
Tissue | Peripheral; Blood; Serum; |
Platform | MS-based; GC-MS: Polaris Q ion trap mass spectrometer (Thermo Fisher Scientific Inc., USA); |
PMID | |
DOI | |
Citation | Gao X, Guo B, Yang L, et al. Selection and dynamic metabolic response of rat biomarkers by metabonomics and multivariate statistical analysis combined with GC-MS. Pharmacol Biochem Behav 2014;117:85-91. |
Metabolite |
