Study M774
Study name | Bai SJ 2021 |
Title | Gut microbiota-derived inflammation-related serum metabolites as potential biomarkers for major depressive disorder |
Overall design | In this study, the combined application of serum metabolomics and fecal microbial communities was used to identify gut microbiota-derived inflammation-related serum metabolites as potential biomarkers for major depressive disorder (MDD). Both serum samples and fecal samples were collected from MDD patients (MDD group, n =60) and healthy controls (control group, n =60). The liquid chromatography mass spectrometry (LC-MS) was used to detect the metabolites in serum samples, and the 16S rRNA gene sequencing was used to analyze the gut microbiota compositions in fecal samples. |
Study Type | Type1; |
Data available | Unavailable |
Organism | Human; |
Categories of depression | Depressive disorder; Depression; Depression; |
Criteria for depression | DSM-IV diagnosed MDD, HAMD-17 > 17 |
Sample size | 120 |
Tissue | Peripheral; Blood; Serum; |
Platform | MS-based; LC-MS: ACQUITY I Class UPLC system coupled to Waters G2-S QTOF system; |
PMID | |
DOI | |
Citation | Bai S, Xie J, Bai H, et al. Gut microbiota-derived inflammation-related serum metabolites as potential biomarkers for major depressive disorder. J Inflamm Res. 2021 Aug 6;14:3755-3766. |
Metabolite | Arachidonic acid; Taurocholic acid; Chenodeoxycholic acid; LysoPC(16:0); Docosahexaenoic acid; Uridine triphosphate; Deoxycholic acid glycine conjugate; Taurochenodesoxycholic acid; Deoxycholic acid; Benzoic acid; PI(40:4); LysoPC(20:0/0:0); LysoPC(20:2(11Z,14Z)/0:0); LysoPC(17:0/0:0); CerP(d18:1/24:1(15Z)); 5-Hexatriacontanone; N-(2R-Hydroxytricosanoyl)-2S-amino-1,3S,4R-octadecanetriol; PE(16:0/18:1(9Z)); SM(d18:0/22:1(13Z)); PE(16:0/18:2(9Z,12Z)); |
