Altered gut bacterial-fungal interkingdom networks in patients with current depressive episode.
Brain Behav
; 10(8): e01677, 2020 08.
Article
in En
| MEDLINE
| ID: mdl-32533650
INTRODUCTION: Bacterial dysbiosis has been described in patients with current depressive episode (CDE); however, the fungal composition in the gut has not been investigated in these patients. METHODS: Here, we characterized the fungal gut mycobiota in patients with CDE. We systematically characterized the microbiota and mycobiota in fecal samples obtained from 24 patients with CDE and 16 healthy controls (HC) using 16S rRNA gene- and ITS1-based DNA sequencing, respectively. RESULTS: In patients with CDE, bacterial dysbiosis was characterized by an altered composition and reduced correlation network density, and the gut mycobiota was characterized by a relative reduction in alpha diversity and altered composition. Most notably, the CDE group had higher levels of Candida and lower level of Penicillium than the HC group. Compared with the HC group, the gut microbiota in patients with CDE displayed a significant disruption in the bacteria-fungi correlation network suggestive of altered interkingdom interactions. Furthermore, a gut microbial index based on the combination of eight genera (four bacterial and four fungal CDE-associated genera) distinguished CDE patients from controls with an area under the curve of approximately 0.84, suggesting that the gut microbiome signature is a promising tool for disease classification. CONCLUSIONS: Our findings suggest that both bacteria and fungi contribute to gut dysbiosis in patients with CDE. Future studies involving larger cohorts and metagenomic or metabolomic analyses may clarify the structure and potential roles and functions of the gut mycobiome and its impact on the development of CDE.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Gastrointestinal Microbiome
Type of study:
Prognostic_studies
Limits:
Adult
/
Female
/
Humans
/
Male
Language:
En
Journal:
Brain Behav
Year:
2020
Document type:
Article
Affiliation country:
China
Country of publication:
United States