Tingjia Chai

TL;DR: Using whole-genome shotgun metagenomic and untargeted metabolomic methods, a combinatorial marker panel is identified that robustly discriminated MDD from HC individuals in both the discovery and validation sets, providing a deep insight into understanding of the roles of disturbed gut ecosystem in MDD.

TL;DR: In this article, using 16S ribosomal RNA (rRNA) gene sequencing, the microbial compositions of 165 subjects with MDD are compared with 217 BD, and 217 healthy controls (HCs).

TL;DR: These findings provide new microbial and metabolic frameworks for understanding the MGB axisʼ role in depression, and suggest that the gut microbiome may participate in the onset of depressive-like behaviors by modulating peripheral and central glycerophospholipid metabolism.

TL;DR: Zhang et al. as mentioned in this paper characterized the longitudinal changes of microbial composition and function during escitalopram treatment in chronic unpredictable mild stress (CUMS) mice model of depression based on 16'S rRNA sequencing and metabolomics.

TL;DR: Characterizing the microbial phenotypes of 16 female cynomolgus macaques from three age groups revealed significant differences in microbial composition among the three groups, and provided a new entry point for understanding the effects of age on the human body.