Introduction
A functional reciprocity between the gut microbiome and vagal nerve activity has been suggested, however, human studies addressing this phenomenon are limited.
Methods
Twenty-four-hour cardiac vagal activity (CVA) was assessed from 73 female participants (aged 24.5 ± 4.3 years). Additionally, stool samples were subjected to 16SrRNA gene analysis (V1–V2). Quantitative Insights Into Microbial Ecology (QIIME) was used to analyse microbiome data. Additionally, inflammatory parameters (such as CRP and IL-6) were derived from serum samples.
Results
Daytime CVA correlated significantly with gut microbiota diversity (
r
sp
= 0.254,
p
= 0.030), CRP (
r
sp
= −0.348,
p
= 0.003), and IL-6 (
r
sp
= −0.320,
p
= 0.006). When the group was divided at the median of 24 h CVA (Mdn = 1.322), the following features were more abundant in the high CVA group:
Clostridia
(Linear discriminant analysis effect size (LDA) = 4.195,
p
= 0.029),
Clostridiales
(LDA = 4.195,
p
= 0.029),
Lachnospira
(LDA = 3.489,
p
= 0.004),
Ruminococcaceae
(LDA = 4.073,
p
= 0.010),
Faecalibacterium
(LDA = 3.982,
p
= 0.042),
Lactobacillales
(LDA = 3.317,
p
= 0.029),
Bacilli
(LDA = 3.294,
p
= 0.0350),
Streptococcaceae
(LDA = 3.353,
p
= 0.006),
Streptococcus
(LDA = 3.332,
p
= 0.011). Based on Dirichlet multinomial mixtures two enterotypes could be detected, which differed significantly in CVA, age, BMI, CRP, IL-6, and diversity.
Conclusions
As an indicator of gut-brain communication, gut microbiome analysis could be extended by measurements of CVA to enhance our understanding of signalling
via
microbiota-gut-brain-axis and its alterations through psychobiotics.