| Literature DB >> 32376998 |
Peng Zheng1,2,3,4, Jing Wu5, Hanping Zhang1,2,3, Seth W Perry4, Bangmin Yin1,2,3, Xunmin Tan1,2,3, Tingjia Chai1,2,3, Weiwei Liang6, Yu Huang1,2,3, Yifan Li1,2,3, Jiajia Duan5, Ma-Li Wong4, Julio Licinio7, Peng Xie8,9,10.
Abstract
Emerging research demonstrates that microbiota-gut-brain (MGB) axis changes are associated with depression onset, but the mechanisms underlying this observation remain largely unknown. The gut microbiome of nonhuman primates is highly similar to that of humans, and some subordinate monkeys naturally display depressive-like behaviors, making them an ideal model for studying these phenomena. Here, we characterized microbial composition and function, and gut-brain metabolic signatures, in female cynomolgus macaque (Macaca fascicularis) displaying naturally occurring depressive-like behaviors. We found that both microbial and metabolic signatures of depressive-like macaques were significantly different from those of controls. The depressive-like monkeys had characteristic disturbances of the phylum Firmicutes. In addition, the depressive-like macaques were characterized by changes in three microbial and four metabolic weighted gene correlation network analysis (WGCNA) clusters of the MGB axis, which were consistently enriched in fatty acyl, sphingolipid, and glycerophospholipid metabolism. These microbial and metabolic modules were significantly correlated with various depressive-like behaviors, thus reinforcing MGB axis perturbations as potential mediators of depression onset. These differential brain metabolites were mainly mapped into the hippocampal glycerophospholipid metabolism in a region-specific manner. Together, these findings provide new microbial and metabolic frameworks for understanding the MGB axis' role in depression, and suggesting that the gut microbiome may participate in the onset of depressive-like behaviors by modulating peripheral and central glycerophospholipid metabolism.Entities:
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Year: 2020 PMID: 32376998 PMCID: PMC8440210 DOI: 10.1038/s41380-020-0744-2
Source DB: PubMed Journal: Mol Psychiatry ISSN: 1359-4184 Impact factor: 13.437