Study M668
Study name | Xie J 2020 |
Title | Identification of potential metabolite markers for middle-aged patients with post-stroke depression using urine metabolomics |
Overall design | The aim of this study was to identify potential biomarkers for diagnosing post-stroke depression (PSD) in middle-aged stroke survivors. PSD patients (PSD group, n = 92) and stroke survivors without depression (stroke group, n = 89) were included in this study. Urinary metabolites were detected by gas chromatography-mass spectrometry (GC-MS). Differential urinary metabolites and potential biomarkers were screened by applying statistical analysis. |
Study Type | Type1; |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Post-stroke depression; Post-stroke depression; |
Criteria for depression | Not reported |
Sample size | 181 |
Tissue | Peripheral; Urine; Urine; |
Platform | MS-based; GC-MS: Agilent 7980 GC system; |
PMID | |
DOI | |
Citation | Xie J, Han Y, Hong Y, et al. Identification of potential metabolite markers for middle-aged patients with post-stroke depression using urine metabolomics. Neuropsychiatr Dis Treat. 2020;16:2017-2024. |
Metabolite | Glyceric acid; Pyroglutamic acid; Myristic acid; Palmitic acid; |
