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Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Mörkl, S; Oberascher, A; Tatschl, JM; Lackner, S; Bastiaanssen, TFS; Butler, MI; Moser, M; Frühwirth, M; Mangge, H; Cryan, JF; Dinan, TG; Holasek, SJ.
Cardiac vagal activity is associated with gut-microbiome patterns in women-An exploratory pilot study.
Dialogues Clin Neurosci. 2022; 24(1): 1-9. Doi: 10.1080/19585969.2022.2128697 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Führende Autor*innen der Med Uni Graz
Leal Garcia Sabrina
Co-Autor*innen der Med Uni Graz
Holasek Sandra Johanna
Lackner Sonja
Mangge Harald
Moser Maximilian
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Abstract:
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.
Find related publications in this database (using NLM MeSH Indexing)
Female - administration & dosage
Gastrointestinal Microbiome - physiology
Humans - administration & dosage
Interleukin-6 - administration & dosage
Microbiota - administration & dosage
Pilot Projects - administration & dosage

Find related publications in this database (Keywords)
Gut microbiota
vagal nerve
gut-brain-axis
autonomic nervous system
heart rate variability
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