Study M034
Study name | Zheng P 2013c |
Title | A novel urinary metabolite signature for diagnosing major depressive disorder |
Overall design | Here, gas chromatography-mass spectrometry was applied to urine metabolic profiling of major depressive disorder (MDD) subjects (MDD group, n = 126) and control subjects (control group, n = 134). Orthogonal partial least-squares discriminant analysis (OPLS-DA) was used to identify the differential metabolites in MDD subjects relative to healthy controls. The OPLS-DA analysis of data from training samples (82 first-episode, drug-naive MDD subjects and 82 well-matched healthy controls) showed that the depressed group was significantly distinguishable from the control group. The remaining subjects were used to construct the test set to independently validate the diagnostic generalizability of these biomarkers. |
Study Type | Type1; |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Depression; Depression; |
Criteria for depression | DSM-IV-TR diagnosed MDD, HAMD-17 > 17 |
Sample size | 260 |
Tissue | Peripheral; Urine; Urine; |
Platform | MS-based; GC-MS: Agilent 7980 GC system with Agilent 5975 mass selective detector (Agilent Technologies Inc., USA); |
PMID | |
DOI | |
Citation | Zheng P, Chen JJ, Huang T, et al. A novel urinary metabolite signature for diagnosing major depressive disorder. J Proteome Res 2013;12(12):5904-11.; 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 | L-Phenylalanine; L-Cysteine; Hippuric acid; L-Tyrosine; D-Fructose; D-Glucose; Azelaic acid; Pseudouridine; Indoxyl sulfate; Hydroxylamine; Hypoxanthine; Uric acid; Ethanolamine; Uracil; Beta-Alanine; Sucrose; Sorbitol; 3-Aminoisobutanoic acid; |
