henhaobio
Sign in

MicroorganismsMicrobiologyPeer-reviewed journal article

Key taxa of the gut microbiome associated with the relationship between environmental sensitivity and inflammation-related biomarkers

Satoshi TakasugiiD, Shuhei IimuraiD, Miyabi Yasuda, Yoshie SaitoiD, Masashi MorifujiiD

PDFDOIPreprint

Abstract

BackgroundIndividual differences in environmental sensitivity are linked to stress-related psychiatric symptoms. In previous research, we found that high environmental sensitivity can be a risk factor for increased inflammation and gut permeability, particularly when gut microbiome diversity is low. However, the specific gut bacterial taxa involved in this interaction remain unclear. This study aimed to identify the key gut microbiome taxa associated with this relationship. MethodsEnvironmental sensitivity, gut microbiome composition, gut permeability (lipopolysaccharide-binding protein, LBP) and inflammation (C-reactive protein, CRP) biomarkers were evaluated in 88 participants. ResultsThe interaction between environmental sensitivity and the relative abundance of the family Marinifilaceae (genus Butyricimonas) was a predictor of CRP levels. Similarly, the interaction between environmental sensitivity and relative abundance of the family Barnesiellaceae (genus Coprobacter), the family Akkermansiace (genus Akkermansia), the genus Family XIII AD3011 group, the genus GCA-900066225, or the genus Ruminiclostridium 1 predicted LBP levels. Individuals with high environmental sensitivity exhibited elevated CRP or LBP levels when the relative abundance of these taxa was low. Conversely, highly sensitive individuals had lower CRP or LBP levels when the relative abundance of these taxa was high. ConclusionThis study suggests that specific taxa serve as one of the protective factors against inflammation and gut permeability in individuals with high environmental sensitivity.

Citations
13
FWCI
3.59
Field percentile
top 6%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISIimura '23Perez-Donad '26Caetano-Sil '24Rusling '19Campbell '22Miyoshi '21
85% semantic matchMicrobiology
S. Iimura, S. Takasugi, M. Yasuda+2 more·bioRxiv·Mar 30, 2023