Study M094
Study name | Xiao JQ 2016 |
Title | Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy based metabonomic analysis |
Overall design | In this study, the nuclear magnetic resonance-based metabonomic method was applied to explore the differential metabolites in the urine of poststroke depression (PSD) subjects, and to identify a potential biomarker panel for PSD diagnosis. Three groups of participants were recruited: (1) PSD group (PSD patients; n = 94), (2) stroke group (stroke patients; n = 78), and (3) control group (healthy control; n = 74). The training set included 43 healthy control, 45 stroke subjects, and 62 PSD subjects. The testing set included 31 healthy control, 33 stroke subjects, and 32 PSD subjects. The training set was used to identify differential metabolites responsible for the separation of PSD subjects from stroke and HC subjects. |
Study Type | Type1; |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Post-stroke depression; Post-stroke depression; |
Criteria for depression | DSM-IV diagnosed depression, HAMD-17 > 8 |
Sample size | 246 |
Tissue | Peripheral; Urine; Urine; |
Platform | NMR; NMR: Bruker Avance II 600 spectrometer; |
PMID | |
DOI | |
Citation | Xiao J, Zhang J, Sun D, et al. Discriminating poststroke depression from stroke by nuclear magnetic resonance spectroscopy based metabonomic analysis. Neuropsychiatr Dis Treat 2016;12:1919-25. |
Metabolite | L-Phenylalanine; L-Glutamic acid; |
