Manipulation of gut microbiota blunts the ventilatory response to hypercapnia in adult rats.

BACKGROUND: It is increasingly evident that perturbations to the diversity and composition of the gut microbiota have significant consequences for the regulation of integrative physiological systems. There is growing interest in the potential contribution of microbiota-gut-brain signalling to cardiorespiratory control in health and disease. METHODS: In adult male rats, we sought to determine the cardiorespiratory effects of manipulation of the gut microbiota following a 4-week administration of a cocktail of antibiotics. We subsequently explored the effects of administration of faecal microbiota from pooled control (vehicle) rat faeces, given by gavage to vehicle- and antibiotic-treated rats. FINDINGS: Antibiotic intervention depressed the ventilatory response to hypercapnic stress in conscious animals, owing to a reduction in the respiratory frequency response to carbon dioxide. Baseline frequency, respiratory timing variability, and the expression of apnoeas and sighs were normal. Microbiota-depleted rats had decreased systolic blood pressure. Faecal microbiota transfer to vehicle- and antibiotic-treated animals also disrupted the gut microbiota composition, associated with depressed ventilatory responsiveness to hypercapnia. Chronic antibiotic intervention or faecal microbiota transfer both caused significant disruptions to brainstem monoamine neurochemistry, with increased homovanillic acid:dopamine ratio indicative of increased dopamine turnover, which correlated with the abundance of several bacteria of six different phyla. INTERPRETATION: Chronic antibiotic administration and faecal microbiota transfer disrupt gut microbiota, brainstem monoamine concentrations and the ventilatory response to hypercapnia. We suggest that aberrant microbiota-gut-brain axis signalling has a modulatory influence on respiratory behaviour during hypercapnic stress. FUND: Department of Physiology and APC Microbiome Ireland, University College Cork, Ireland.

Gut Microbiota and Risk of Developing Celiac Disease.

Gut microbiota shapes the development of the mucosal immune system and may provide protection against immune-mediated diseases. Celiac disease (CD) is a chronic inflammatory condition triggered by dietary gluten proteins, recently associated with gut microbiota alterations in cross-sectional studies comparing patients and controls. Whether or not these differences are causally related to the disease has yet to be elucidated, but evaluation of specific bacteria isolated from CD patients in experimental models suggests that they can promote an adverse response to dietary gluten, whereas other commensal bacteria can be protective. Genetic and environmental factors associated with increased CD risk have also been linked to shifts in the gut microbiota composition in infants early in life. Epigenetic mechanisms also seem to play an important role in modulating gut microbiota composition and function and, theoretically, could also influence CD risk. Here, we review the current knowledge on how host genetics, environmental factors, and epigenetic modifications could modulate gut microbiota functionality and how this may influence CD risk. Greater understanding of the role of this triad in CD onset and pathogenesis will be valuable in designing proof-of concept interventions in the gut ecosystem, with a view to improving CD management.

The influence of a short-term gluten-free diet on the human gut microbiome.

BACKGROUND: A gluten-free diet (GFD) is the most commonly adopted special diet worldwide. It is an effective treatment for coeliac disease and is also often followed by individuals to alleviate gastrointestinal complaints. It is known there is an important link between diet and the gut microbiome, but it is largely unknown how a switch to a GFD affects the human gut microbiome. METHODS: We studied changes in the gut microbiomes of 21 healthy volunteers who followed a GFD for four weeks. We collected nine stool samples from each participant: one at baseline, four during the GFD period, and four when they returned to their habitual diet (HD), making a total of 189 samples. We determined microbiome profiles using 16S rRNA sequencing and then processed the samples for taxonomic and imputed functional composition. Additionally, in all 189 samples, six gut health-related biomarkers were measured. RESULTS: Inter-individual variation in the gut microbiota remained stable during this short-term GFD intervention. A number of taxon-specific differences were seen during the GFD: the most striking shift was seen for the family Veillonellaceae (class Clostridia), which was significantly reduced during the intervention (p = 2.81 × 10(-05)). Seven other taxa also showed significant changes; the majority of them are known to play a role in starch metabolism. We saw stronger differences in pathway activities: 21 predicted pathway activity scores showed significant association to the change in diet. We observed strong relations between the predicted activity of pathways and biomarker measurements. CONCLUSIONS: A GFD changes the gut microbiome composition and alters the activity of microbial pathways.

Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics.

PURPOSE: There is a critical need for population-based prospective cohort studies because they follow individuals before the onset of disease, allowing for studies that can identify biomarkers and disease-modifying effects, and thereby contributing to systems epidemiology. PARTICIPANTS: This paper describes the design and baseline characteristics of an intensively examined subpopulation of the LifeLines cohort in the Netherlands. In this unique subcohort, LifeLines DEEP, we included 1539 participants aged 18 years and older. FINDINGS TO DATE: We collected additional blood (n = 1387), exhaled air (n = 1425) and faecal samples (n = 1248), and elicited responses to gastrointestinal health questionnaires (n = 1176) for analysis of the genome, epigenome, transcriptome, microbiome, metabolome and other biological levels. Here, we provide an overview of the different data layers in LifeLines DEEP and present baseline characteristics of the study population including food intake and quality of life. We also describe how the LifeLines DEEP cohort allows for the detailed investigation of genetic, genomic and metabolic variation for a wide range of phenotypic outcomes. Finally, we examine the determinants of gastrointestinal health, an area of particular interest to us that can be addressed by LifeLines DEEP. FUTURE PLANS: We have established a cohort of which multiple data levels allow for the integrative analysis of populations for translation of this information into biomarkers for disease, and which will offer new insights into disease mechanisms and prevention.

Validation of the CD6 and TNFRSF1A loci as risk factors for multiple sclerosis in Spain.

A recent meta-analysis of genome-wide association screens coupled to a replication exercise in a combined US/UK collection led to the identification of 4 single nucleotide polymorphisms (SNPs) in three gene loci, i.e. TNFRSF1A, CD6 and IRF8, as novel risk factors for multiple sclerosis with genome-wide level of significance. In the present study, using a combined all-Spain collection of 2515 MS patients and 2942 healthy controls, we demonstrate significant association of rs17824933 in CD6 (P(CMH)=0.004; OR=1.14; 95% CI 1.04-1.24) and of rs1860545 in TNFRSF1A (P(CMH)=0.001; OR=1.15; 95% CI 1.06-1.25) with MS, while the low-frequency coding non-synonymous SNP rs4149584 in TNFRSF1A displayed a trend for association (P(CMH)=0.062; OR=1.27; 95% CI 0.99-1.63). This data reinforce a generic role for CD6 and TNFRSF1A in susceptibility to MS, extending to populations of southern European ancestry.