Study name | Zhao SG 2022 |
Title | Brain functional network and amino acid metabolism association in females with subclinical depression |
Overall design | The aim of this study was to investigate the association between complex brain functional networks and the metabolites in urine in subclinical depression. Electroencephalography (EEG) signals were recorded from 78 female college students, including 40 with subclinical depression (subclinical depression group) and 38 healthy controls (control group). The urine of all participants was collected for non-targeted LC-MS metabolic analysis to screen differential metabolites. |
Type1; | |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive symptom; Depressive symptom; Depressive symptom; |
Criteria for depression | Beck Depression Scale-II scores between 14 and 27 |
Sample size | 78 |
Tissue | Peripheral; Urine; Urine; |
Platform | MS-based; LC-MS: UHPLC system (1290, Agilent Technologies, Santa Clara, CA, USA) with Q Exactive (Orbitrap MS, Thermo); |
PMID | |
DOI | |
Citation | Zhao S, Khoo S, Ng SC, et al. Brain functional network and amino acid metabolism association in females with subclinical depression. Int J Environ Res Public Health. 2022 Mar 11;19(6):3321. |
Metabolite | L-Phenylalanine; L-Lactic acid; Azelaic acid; Dimethylglycine; 3-Hydroxyhippuric acid; 5'-Methylthioadenosine; Isobutyric acid; Glycoursodeoxycholic acid; Gentisic acid; Dihydrothymine; 3,4-Dihydroxyhydrocinnamic acid; 3-Methyluridine; m-Cresol; Vanillin; Cortisone; Indole-3-carbinol; 4-Ethylbenzoic acid; Formylanthranilic acid; 17a-Ethynylestradiol; 1,3-Dimethyluracil; |