Study M109
Study name | Lin L 2017 |
Title | Novel urinary metabolite signature for diagnosing postpartum depression |
Overall design | Morning urine samples of postpartum women with depression (PPD) subjects, postpartum women without depression (PPWD) and healthy controls (HCs) were collected. Totally, 73 PPD subjects, 73 PPWD and 74 HCs were included. In this study, gas chromatography-mass spectroscopy (GC-MS), one of the main analytical techniques for nontargeted metabolomics mapping, was used to profile 45 PPD subjects, 43 postpartum women without depression (PPWD) and 40 HCs to determine whether this method could effectively separate PPD subjects from PPWD and HCs, and the differential metabolites were further analyzed to identify a potential biomarker panel for diagnosing PPD. Meanwhile, we used 28 PPD subjects, 30 PPWD and 34 HCs to independently validate the diagnostic performance of the identified potential biomarker panel. |
Study Type | Type1; |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Postpartum depression; Postpartum depression; |
Criteria for depression | DSM-IV diagnosed MDD, HAMD-17 > 8 |
Sample size | 220 |
Tissue | Peripheral; Urine; Urine; |
Platform | MS-based; GC-MS: not reported; |
PMID | |
DOI | |
Citation | Lin L, Chen XM, Liu RH. Novel urinary metabolite signature for diagnosing postpartum depression. Neuropsychiatr Dis Treat 2017;13:1263-70. |
Metabolite | Pyroglutamic acid; L-Valine; L-Glutamic acid; L-Lactic acid; Hippuric acid; Succinic acid; Phenylacetylglycine; Oxoglutaric acid; Taurine; Acetic acid; alpha-D-Glucose; 1-Methylhistidine; Glycolic acid; Dimethylamine; Alpha-Hydroxyisobutyric acid; Quinolinic acid; |
