Study name | Setoyama D 2021a |
Title | Personality classification enhances blood metabolome analysis and biotyping for major depressive disorders: two-species investigation |
Overall design | In this study, the authors collected personality traits from 100 drug-free patients with major depressive disorders (MDD group) and 100 healthy controls (control group) based on the Five-Factor Model (FFM) such as Neuroticism (N) and Extraversion (E), and also obtained 63 plasma metabolites profiles by LCMS-based metabolome analysis. |
Type1; | |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Depression; Depression; |
Criteria for depression | DSM-IV diagnosed MDD |
Sample size | 200 |
Tissue | Peripheral; Blood; Plasma; |
Platform | MS-based; LC-MS: LCMS 8060 instrument (Shimadzu, Japan); |
PMID | |
DOI | |
Citation | Setoyama D, Yoshino A, Takamura M, et al. Personality classification enhances blood metabolome analysis and biotyping for major depressive disorders: two-species investigation. J Affect Disord. 2021;279:20-30. |
Metabolite |