Study M036
Study name | Zheng P 2013a |
Title | Identification and validation of urinary metabolite biomarkers for major depressive disorder |
Overall design | In this study, a nuclear magnetic resonance spectroscopy-based metabonomic approach was employed to profile urine samples from first-episode drug-naive depressed subjects (MDD group, n = 82) and healthy controls (control group, n = 82) as the training set in order to identify urinary metabolite biomarkers for MDD. Then, 44 unselected depressed subjects and 52 healthy controls were used as the test set to independently validate the diagnostic generalizability of these biomarkers. |
Study Type | Type1; |
Data available | |
Organism | Human; |
Categories of depression | Depressive disorder; Depression; Depression; |
Criteria for depression | DSM-IV diagnosed MDD, HAMD-17 > 17 |
Sample size | 260 |
Tissue | Peripheral; Urine; Urine; |
Platform | NMR; NMR: Bruker AVANCE II 600 spectrometer (Bruker Biospin, Rheinstetten, Germany); |
PMID | |
DOI | |
Citation | Zheng P, Wang Y, Chen L, et al. Identification and validation of urinary metabolite biomarkers for major depressive disorder. Mol Cell Proteomics 2013;12(1):207-14.; Chen JJ, Zhou CJ, Liu Z, et al. Divergent urinary metabolic phenotypes between major depressive disorder and bipolar disorder identified by a combined GC-MS and NMR spectroscopic metabonomic approach. J Proteome Res 2015;14(8):3382-9. |
Metabolite | Citric acid; Glycine; L-Alanine; Hippuric acid; Succinic acid; Choline; Dimethylglycine; Phenylacetylglycine; Creatinine; Oxoglutaric acid; Taurine; Trimethylamine N-oxide; Dimethylamine; Methylmalonic acid; Glycerophosphocholine; Isobutyric acid; Formic acid; Nicotinic acid; Malonic acid; |
