Study M475
Study name | Hou LJ 2018 |
Title | GC-MS-based metabolomics approach to diagnose depression in hepatitis B virus-infected patients with middle or old age |
Overall design | In this study, a gas chromatography-mass spectrometry (GC-MS)-based metabolomic approach was employed to profile urine samples from 59 hepatitis B virus (HBV)-infected patients with depression (dHB group) and 52 HBV-infected patients (HB group) (the training set) in order to identify urinary metabolite biomarkers for dHB. Then, 41 dHB and 35 HB (the testing set) were used to independently validate the diagnostic generalizability of these biomarkers. |
Study Type | Type1; |
Data available | |
Organism | Human; |
Categories of depression | Depressive disorder; Depression with comorbidity; Depression with comorbidity; |
Criteria for depression | DSM-IV-TR diagnosed MDD, HAMD-17 > 17 |
Sample size | 187 |
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 | Hou L, Wei X, Zhuo Y, et al. GC-MS-based metabolomics approach to diagnose depression in hepatitis B virus-infected patients with middle or old age. Aging. 2018. |
Metabolite | Glyceric acid; Hippuric acid; Azelaic acid; Ethanolamine; Uracil; |
