Study M070
Study name | Zhang W 2015 |
Title | A novel urinary metabolite signature for non-invasive post-stroke depression diagnosis |
Overall design | Here, a GC-MS-based urinary metabolomics approach was used to characterize the urinary metabolic profiling of post-stroke depression (PSD) subjects and non-PSD subjects (HC, health controls) in order to identify and validate urinary metabolite biomarkers for PSD. 130 PSD subjects and 128 stroke subjects were recruited. The training set, including 74 HC, 72 stroke, and 72 PSD subjects, was used to identify potential urinary biomarkers. Differential urinary metabolites responsible for discriminating PSD subjects (depressed group, n = 72) from non-PSD subjects (non-depressed group, n = 146) were identified in the training sets. The training set, including 74 HC, 72 stroke, and 72 PSD subjects, was used to identify potential urinary biomarkers. |
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 MDD, HAMD-17 > 8 |
Sample size | 385 |
Tissue | Peripheral; Urine; Urine; |
Platform | MS-based; GC-MS: not reported; |
PMID | |
DOI | |
Citation | Zhang W, Zhang XA. A novel urinary metabolite signature for non-invasive post-stroke depression diagnosis. Cell Biochem Biophys 2015;72(3):661-7. |
Metabolite | Glyceric acid; Pyroglutamic acid; Palmitic acid; L-Phenylalanine; L-Leucine; L-Lactic acid; Hippuric acid; L-Tyrosine; Azelaic acid; Pseudouridine; Indoxyl sulfate; |
