Study M631
Study name | Li YB 2020 |
Title | Serum metabolic profiling reveals the antidepressive effects of the total iridoids of Valeriana jatamansi Jones on chronic unpredictable mild stress mice |
Overall design | In this study, an integrated 1H NMR-based metabolomic approach was applied to screen and identify biomarkers associated with chronic unpredictable mild stress (CUMS) mice and understand the antidepressive influences of iridoid-rich fraction of V. jatamansi (IRFV) in a depressive mouse model. Kunming mice were divided into the following 5 groups (n = 7 in each group): (1) control group, (2) CUMS group, (3) CUMS + fluoxetine group (stressor plus fluoxetine treatment at the dose of 2.5 mg/kg), (4) CUMS + middle dose of iridoid-rich fraction of V. jatamansi group (stressor plus iridoid-rich fraction of V. jatamansi treatment at the dose of 11.47 mg/kg), and (5) CUMS + high dose of iridoid-rich fraction of V. jatamansi group (stressor plus iridoid-rich fraction of V. jatamansi treatment at the dose of 22.94 mg/kg). The CUMS stress procedure lasted for 4 weeks, and drugs were administered via intragastric once per day during the model building period. |
Study Type | Type1; Type2; |
Data available | Unavailable |
Organism | Mouse; Kunming mouse; |
Categories of depression | Animal model; Chronic mild stress model; Chronic mild stress model; |
Criteria for depression | Sucrose preference test, tail suspension test |
Sample size | 35 |
Tissue | Peripheral; Blood; Serum; |
Platform | NMR; NMR: Varian VNMRS 600 MHz NMR spectrometer; |
PMID | |
DOI | |
Citation | Li Y, Wu L, Chen C, et al. Serum metabolic profiling reveals the antidepressive effects of the total iridoids of Valeriana jatamansi Jones on chronic unpredictable mild stress mice. Front Pharmacol. 2020;11:338. |
Metabolite | myo-Inositol; L-Phenylalanine; L-Valine; L-Leucine; L-Glutamic acid; Glycine; L-Serine; L-Threonine; L-Methionine; L-Lactic acid; L-Alanine; L-Glutamine; L-Lysine; L-Tyrosine; L-Arginine; Choline; Dimethylglycine; Fumaric acid; |
