Why the study?
A functional reciprocity between the gut microbiome and vagal nerve activity has been suggested, but human studies addressing this phenomenon are limited.
Is cardiac vagal activity associated with gut microbiome diversity and inflammatory markers in women?
Is cardiac vagal activity associated with gut microbiome diversity and inflammatory markers in women?
Higher cardiac vagal activity is associated with greater gut microbiota diversity and lower systemic inflammation in women, suggesting a link in the microbiota-gut-brain axis.
Associations between daytime CVA, microbiome diversity, and inflammation are hypothesis-generating in women; prospective studies needed before clinical consideration.
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 (rsp = 0.254, p = 0.030), CRP (rsp = −0.348, p = 0.003), and IL-6 (rsp = −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.
No takes yet. Share an insight, caveat, or question.
Mörkl et al. (2022) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: