Study name | Kasuya K 2023 |
Title | Relationship between urinary metabolomic profiles and depressive episode in Antarctica |
Overall design | The aim of this study was to elucidate the urinary metabolite biomarkers that have potential to discriminate subjects with depressive episodes from those without these symptoms. Thirty participants stayed in Antarctica for 12 months were enrolled in the study. Five participants showed major depressive episodes (Patient Health Questionnaire-9 score >= 10; depression group) at 12 months. The remaining 25 participants were included in the non-depressive episode group (control group). The urinary metabolites between two groups were compared at 12 months using LC-MS-based metabolomic analysis. |
Type1; | |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive symptom; Depressive symptom; Depressive symptom; |
Criteria for depression | Patient Health Questionnaire-9 >= 10 |
Sample size | 30 |
Tissue | Peripheral; Urine; Urine; |
Platform | MS-based; LC-MS: Agilent Technologies 1290 Infinity instrument (Santa Clara, CA, USA) with Agilent Technologies G6230B TOF mass spectrometer; |
PMID | |
DOI | |
Citation | Kasuya K, Imura S, Ishikawa T, et al. Relationship between urinary metabolomic profiles and depressive episode in Antarctica. Int J Mol Sci. 2023 Jan 4;24(2):943. |
Metabolite | Beta-Alanine; Ornithine; Cytosine; L-Cystathionine; L-Alpha-aminobutyric acid; |