Delivery mode and gut microbial changes correlate with an increased risk of childhood asthma

2020 ◽  
Vol 12 (569) ◽  
pp. eaax9929 ◽  
Author(s):  
Jakob Stokholm ◽  
Jonathan Thorsen ◽  
Martin J. Blaser ◽  
Morten A. Rasmussen ◽  
Mathis Hjelmsø ◽  
...  
Keyword(s):  
Cesarean Section ◽  
Gut Microbiota ◽  
Childhood Asthma ◽  
Delivery Mode ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Cesarean Section Delivery ◽  
Asthma Risk ◽  
Increased Risk ◽  
Gut Microbiota Composition

There have been reports of associations between cesarean section delivery and the risk of childhood asthma, potentially mediated through changes in the gut microbiota. We followed 700 children in the Copenhagen Prospective Studies on Asthma in Childhood2010 (COPSAC2010) cohort prospectively from birth. We examined the effects of cesarean section delivery on gut microbial composition by 16S rRNA gene amplicon sequencing during the first year of life. We then explored whether gut microbial perturbations due to delivery mode were associated with a risk of developing asthma in the first 6 years of life. Delivery by cesarean section was accompanied by marked changes in gut microbiota composition at one week and one month of age, but by one year of age only minor differences persisted compared to vaginal delivery. Increased asthma risk was found in children born by cesarean section only if their gut microbiota composition at 1 year of age still retained a cesarean section microbial signature, suggesting that appropriate maturation of the gut microbiota could mitigate against the increased asthma risk associated with gut microbial changes due to cesarean section delivery.

Effect of Delivery Mode and Nutrition on Gut Microbiota in Neonates

2019 ◽  
Vol 74 (2) ◽  
pp. 132-139 ◽  
Author(s):  
Shohei Akagawa ◽  
Shoji Tsuji ◽  
Chikushi Onuma ◽  
Yuko Akagawa ◽  
Tadashi Yamaguchi ◽  
...  
Keyword(s):  
Cesarean Section ◽  
Gut Microbiota ◽  
Bacterial Diversity ◽  
Mode Of Delivery ◽  
Influential Factors ◽  
Delivery Mode ◽  
Cesarean Section Delivery ◽  
Feeding Type ◽  
Stool Samples ◽  
Gut Microbiota Composition

Background/Aims: The mode of delivery (vaginal or cesarean section) and feeding type (breastfeeding or formula feeding) of neonates are considered the most influential factors in the development of gut microbiota. Objectives: This study investigated the effect of prebiotic-rich breast milk on overcoming gut microbiota dysbiosis. Method: Stool samples from 36 healthy Japanese neonates were obtained at 4 days and 1 month of age, and divided into 4 groups based on mode of delivery and feeding type. The gut microbiota composition and bacterial diversity were assessed using 16S rRNA sequencing. Results: At 4 days old, vaginally delivered neonates had a significantly higher diversity of bacteria than those born by cesarean section. Bacteroidales and Enterobacteriales were overrepresented in vaginally delivered neonates (p = 0.0031 and p = 0.011), while Bacillales and Lactobacillales were overrepresented in caesarean section delivered neonates (p = 0.012 and p = 0.0016). However, there was little difference in bacterial diversity and bacterial relative abundance at 1 month of age between groups. Conclusions: Cesarean section delivery appeared to reduce the diversity of neonate gut microbiota, resulting in dysbiosis, but this improved to the equivalent level seen in vaginally delivered infants by 1 month of age. Breastfeeding, even for short periods, may therefore improve neonate gut dysbiosis.

scholarly journals The gut microbiota profile of adults with kidney disease: A systematic review of the literature

2019 ◽  
Author(s):  
Jordan Stanford ◽  
Karen Charlton ◽  
Anita Stefoska-Needham ◽  
Rukayat Ibrahim ◽  
Kelly Lambert
Keyword(s):  
Systematic Review ◽  
Kidney Disease ◽  
Gut Microbiota ◽  
Cochrane Library ◽  
Uremic Toxin ◽  
Healthy Controls ◽  
Microbiota Composition ◽  
Dietary Intakes ◽  
Microbial Composition ◽  
Gut Microbiota Composition

Abstract Background There is mounting evidence that individuals with kidney disease have an abnormal gut microbiota composition. No studies to date have summarised the evidence to categorise how the gut microbiota profile of individuals with kidney disease may differ from healthy controls. Synthesis of this evidence is important to inform future clinical trials. This systematic review aims to characterise differences of the gut microbiota composition in adults with kidney disease, as well as to describe the functional capacity of the gut microbiota and reporting of diet as a confounder in these studies. Methods Included studies were those that investigated the gut microbial community in adults with any type of kidney disease and compared this to the profile of healthy controls. Six scientific databases (CINHAL, Medline, PubMed, Scopus, Web of Science, Cochrane Library) as well as selected grey literature sources were searched up until August 2018. Quality assessment was undertaken independently by three authors. The system of evidence level criteria was employed to quantitatively evaluate the alteration of microbiota by strictly considering the number, methodological quality and consistency of the findings. Additional findings relating to altered functions of the gut microbiota, dietary intakes and dietary methodologies used were qualitatively summarised. Results Sixteen articles, reporting 15 studies met the eligibility criteria and included a total of 540 adults with kidney disease and 1117 healthy controls. Compared to healthy controls, individuals with kidney disease had increased abundances of Enterobacteriaceae, and decreased abundances of Coprococcus and Prevotella. Adults with kidney stones also had an altered microbial composition with variations to Bacteroides, Lachnospiraceae NK4A136 group, Ruminiclostridium 5 group, Dorea, Enterobacter, Christensenellaceae and its genus Christensenellaceae R7 group. Altered microbial functions in adults with kidney disease were reported, particularly in the context of metabolic pathways relating to urea and uremic toxin generation. Only three of the 16 articles accounted for diet, and of these studies only two used a valid dietary assessment method. Conclusions The gut microbiota profile of adults with kidney disease differs from healthy controls. Future study designs should include adequate reporting of important confounders such as dietary intakes to assist with interpretation of findings.

scholarly journals Leveraging host-genetics and gut microbiota to determine immunocompetence in pigs

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Yuliaxis Ramayo-Caldas ◽  
Laura M. Zingaretti ◽  
David Pérez-Pascual ◽  
Pamela A. Alexandre ◽  
Antonio Reverter ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Association Studies ◽  
Host Genome ◽  
Phenotypic Variance ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Phagocytic Capacity ◽  
Host Genetics ◽  
Gut Microbiota Composition ◽  
Variance Explained

Abstract Background The gut microbiota influences host performance playing a relevant role in homeostasis and function of the immune system. The aim of the present work was to identify microbial signatures linked to immunity traits and to characterize the contribution of host-genome and gut microbiota to the immunocompetence in healthy pigs. Results To achieve this goal, we undertook a combination of network, mixed model and microbial-wide association studies (MWAS) for 21 immunity traits and the relative abundance of gut bacterial communities in 389 pigs genotyped for 70K SNPs. The heritability (h2; proportion of phenotypic variance explained by the host genetics) and microbiability (m2; proportion of variance explained by the microbial composition) showed similar values for most of the analyzed immunity traits, except for both IgM and IgG in plasma that was dominated by the host genetics, and the haptoglobin in serum which was the trait with larger m2 (0.275) compared to h2 (0.138). Results from the MWAS suggested a polymicrobial nature of the immunocompetence in pigs and revealed associations between pigs gut microbiota composition and 15 of the analyzed traits. The lymphocytes phagocytic capacity (quantified as mean fluorescence) and the total number of monocytes in blood were the traits associated with the largest number of taxa (6 taxa). Among the associations identified by MWAS, 30% were confirmed by an information theory network approach. The strongest confirmed associations were between Fibrobacter and phagocytic capacity of lymphocytes (r = 0.37), followed by correlations between Streptococcus and the percentage of phagocytic lymphocytes (r = -0.34) and between Megasphaera and serum concentration of haptoglobin (r = 0.26). In the interaction network, Streptococcus and percentage of phagocytic lymphocytes were the keystone bacterial and immune-trait, respectively. Conclusions Overall, our findings reveal an important connection between gut microbiota composition and immunity traits in pigs, and highlight the need to consider both sources of information, host genome and microbial levels, to accurately characterize immunocompetence in pigs.

scholarly journals Dietary trans-10, cis-12-conjugated linoleic acid alters fatty acid metabolism and microbiota composition in mice

2015 ◽  
Vol 113 (5) ◽  
pp. 728-738 ◽  
Author(s):  
Tatiana M. Marques ◽  
Rebecca Wall ◽  
Orla O'Sullivan ◽  
Gerald F. Fitzgerald ◽  
Fergus Shanahan ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Linoleic Acid ◽  
Gut Microbiota ◽  
Conjugated Linoleic Acid ◽  
Control Group ◽  
Standard Diet ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
16S Rrna Pyrosequencing ◽  
Gut Microbiota Composition

The main aim of the present study was to investigate the effects of dietary trans-10, cis-12-conjugated linoleic acid (t10c12-CLA) on intestinal microbiota composition and SCFA production. C57BL/6 mice (n 8 per group) were fed a standard diet either supplemented with t10c12-CLA (0·5 %, w/w) (intervention) or with no supplementation (control), daily for 8 weeks. Metabolic markers (serum glucose, leptin, insulin and TAG, and liver TAG) were assessed by ELISA commercial kits, tissue long-chain fatty acids and caecal SCFA by GC, and microbial composition by 16S rRNA pyrosequencing. Dietary t10c12-CLA significantly decreased visceral fat mass (P< 0·001), but did not affect body weight (intervention), when compared with no supplementation (control). Additionally, lipid mass and composition were affected by t10c12-CLA intake. Caecal acetate, propionate and isobutyrate concentrations were higher (P< 0·05) in the t10c12-CLA-supplemented group than in the control group. The analysis of the microbiota composition following 8 weeks of t10c12-CLA supplementation revealed lower proportions of Firmicutes (P= 0·003) and higher proportions of Bacteroidetes (P= 0·027) compared with no supplementation. Furthermore, t10c12-CLA supplementation for 8 weeks significantly altered the gut microbiota composition, harbouring higher proportions of Bacteroidetes, including Porphyromonadaceae bacteria previously linked with negative effects on lipid metabolism and induction of hepatic steatosis. These results indicate that the mechanism of dietary t10c12-CLA on lipid metabolism in mice may be, at least, partially mediated by alterations in gut microbiota composition and functionality.

scholarly journals Differences in the Microbial Composition of Hemodialysis Patients Treated with and without β-Blockers

2021 ◽  
Vol 11 (3) ◽  
pp. 198
Author(s):  
Yi-Ting Lin ◽  
Ting-Yun Lin ◽  
Szu-Chun Hung ◽  
Po-Yu Liu ◽  
Wei-Chun Hung ◽  
...  
Keyword(s):  
Random Forest ◽  
Gut Microbiota ◽  
Hemodialysis Patients ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Α Diversity ◽  
Β Blocker ◽  
Β Blockers ◽  
The Impact ◽  
Gut Microbiota Composition

β-blockers are commonly prescribed to treat cardiovascular disease in hemodialysis patients. Beyond the pharmacological effects, β-blockers have potential impacts on gut microbiota, but no study has investigated the effect in hemodialysis patients. Hence, we aim to investigate the gut microbiota composition difference between β-blocker users and nonusers in hemodialysis patients. Fecal samples collected from hemodialysis patients (83 β-blocker users and 110 nonusers) were determined by 16S ribosomal RNA amplification sequencing. Propensity score (PS) matching was performed to control confounders. The microbial composition differences were analyzed by the linear discriminant analysis effect size, random forest, and zero-inflated Gaussian fit model. The α-diversity (Simpson index) was greater in β-blocker users with a distinct β-diversity (Bray–Curtis Index) compared to nonusers in both full and PS-matched cohorts. There was a significant enrichment in the genus Flavonifractor in β-blocker users compared to nonusers in full and PS-matched cohorts. A similar finding was demonstrated in random forest analysis. In conclusion, hemodialysis patients using β-blockers had a different gut microbiota composition compared to nonusers. In particular, the Flavonifractor genus was increased with β-blocker treatment. Our findings highlight the impact of β-blockers on the gut microbiota in hemodialysis patients.

scholarly journals Spontaneous preterm delivery is reflected in both early neonatal and maternal gut microbiota

2021 ◽  
Author(s):  
Henni Hiltunen ◽  
Maria Carmen Collado ◽  
Helena Ollila ◽  
Terhi Kolari ◽  
Satu Tölkkö ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Gut Microbiota ◽  
Preterm Delivery ◽  
Preterm Neonates ◽  
Delivery Mode ◽  
Microbiota Composition ◽  
Spontaneous Preterm Birth ◽  
Spontaneous Preterm Delivery ◽  
Gut Colonization ◽  
Gut Microbiota Composition

Abstract Background Aberrant gut microbiota composition in preterm neonates is linked to adverse health consequences. Little is known about the impact of perinatal factors or maternal gut microbiota on initial preterm gut colonization. Methods Fecal samples were collected from 55 preterm neonates (<35 gestational weeks), 51 mothers, and 25 full-term neonates during the first 3–4 postpartum days. Gut microbiota composition was assessed using 16S ribosomal RNA gene sequencing. Results Preterm neonates exhibited significantly lower gut microbiota alpha diversity and distinct beta diversity clustering compared to term neonates. Spontaneous preterm birth was associated with distinct initial gut microbiota beta diversity as compared to iatrogenic delivery. Gestational age or delivery mode had no impact on the preterm gut microbiota composition. The cause of preterm delivery was also reflected in the maternal gut microbiota composition. The contribution of maternal gut microbiota to initial preterm gut colonization was more pronounced after spontaneous delivery than iatrogenic delivery and not dependent on delivery mode. Conclusions The initial preterm gut microbiota is distinct from term microbiota. Spontaneous preterm birth is reflected in the early neonatal and maternal gut microbiota. Transmission of gut microbes from mother to neonate is determined by spontaneous preterm delivery, but not by mode of birth. Impact The initial gut microbiota in preterm neonates is distinct from those born full term. Spontaneous preterm birth is associated with changes in the gut microbiota composition of both preterm neonates and their mothers. The contribution of the maternal gut microbiota to initial neonatal gut colonization was more pronounced after spontaneous preterm delivery as compared to iatrogenic preterm delivery and not dependent on delivery mode. Our study provides new evidence regarding the early gut colonization patterns in preterm infants. Altered preterm gut microbiota has been linked to adverse health consequences and may provide a target for early intervention.

scholarly journals Comprehensive analysis of gut microbiota of a healthy population and covariates affecting microbial variation in two large Japanese cohorts

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jonguk Park ◽  
Kumiko Kato ◽  
Haruka Murakami ◽  
Koji Hosomi ◽  
Kumpei Tanisawa ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Large Scale ◽  
Univariate Analysis ◽  
Comprehensive Analysis ◽  
Dietary Habit ◽  
Healthy Population ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Factors Associated ◽  
Gut Microbiota Composition

Abstract Background Inter-individual variations in gut microbiota composition are observed even among healthy populations. The gut microbiota may exhibit a unique composition depending on the country of origin and race of individuals. To comprehensively understand the link between healthy gut microbiota and host state, it is beneficial to conduct large-scale cohort studies. The aim of the present study was to elucidate the integrated and non-redundant factors associated with gut microbiota composition within the Japanese population by 16S rRNA sequencing of fecal samples and questionnaire-based covariate analysis. Results A total of 1596 healthy Japanese individuals participated in this study via two independent cohorts, NIBIOHN cohort (n = 954) and MORINAGA cohort (n = 642). Gut microbiota composition was described and the interaction of these microorganisms with metadata parameters such as anthropometric measurements, bowel habits, medical history, and lifestyle were obtained. Thirteen genera, including Alistipes, Anaerostipes, Bacteroides, Bifidobacterium, Blautia, Eubacterium halli group, Faecalibacterium, Fusicatenibacter, Lachnoclostridium, Parabacteroides, Prevotella_9, Roseburia, and Subdoligranulum were predominant among the two cohorts. On the basis of univariate analysis for overall microbiome variation, 18 matching variables exhibited significant association in both cohorts. A stepwise redundancy analysis revealed that there were four common covariates, Bristol Stool Scale (BSS) scores, gender, age, and defecation frequency, displaying non-redundant association with gut microbial variance. Conclusions We conducted a comprehensive analysis of gut microbiota in healthy Japanese individuals, based on two independent cohorts, and obtained reliable evidence that questionnaire-based covariates such as frequency of bowel movement and specific dietary habit affects the microbial composition of the gut. To our knowledge, this was the first study to investigate integrated and non-redundant factors associated with gut microbiota among Japanese populations.

scholarly journals Associations between usual diet and gut microbiota composition: results from the Milieu Intérieur cross-sectional study

2019 ◽  
Vol 109 (5) ◽  
pp. 1472-1483 ◽  
Author(s):  
Valentin Partula ◽  
Stanislas Mondot ◽  
Marion J Torres ◽  
Emmanuelle Kesse-Guyot ◽  
Mélanie Deschasaux ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Microbiota Composition ◽  
Negatively Associated ◽  
Food Items ◽  
Β Diversity ◽  
Sugary Drinks ◽  
Α Diversity ◽  
Increased Risk ◽  
Usual Diet ◽  
Gut Microbiota Composition

ABSTRACT Background Diet is widely recognized as one of the main modifiable drivers of gut microbiota variability, and its influence on microbiota composition is an active area of investigation. Objective The present work aimed to explore the associations between usual diet and gut microbiota composition in a large sample of healthy French adults. Methods Gut microbiota composition was established through sequencing of the 16S rRNA gene in stool samples from 862 healthy French adults of the Milieu Intérieur study. Usual dietary consumptions were determined through the administration of a food-frequency questionnaire. The associations between dietary variables and α- and β-diversity indexes and relative taxa abundances were tested using Spearman correlations, permutational ANOVAs, and multivariate analyses with linear models, respectively. Results Foods generally considered as healthy (raw fruits, fish) were positively associated with α-diversity, whereas food items for which a limited consumption is generally recommended (fried products, sodas or sugary drinks, fatty sweet products, processed meats, ready-cooked meals, and desserts) were negatively associated with α-diversity. Fruits, fried products, ready-cooked meals, and cheese contributed to shifts within microbiota composition (β-diversity). Our results also highlighted a number of associations between various food group intakes and abundances of specific phyla, genera, and species. For instance, the consumption of cheese was negatively associated with Akkermansia muciniphila abundance. Conclusions This large-scale population-based study supports that the usual consumption of certain food items is associated with several gut microbial features, and extends the mechanistic arguments linking Western diet to an altered microbiota composition. These results provide new insights into the understanding of complex diet–gut microbiota relations, and their implications for host health deserve further investigation because altered microbiota diversity was consistently linked to increased risk of several health outcomes. This trial was registered at clinicaltrials.gov as NCT01699893.

scholarly journals Oral Administration ofPorphyromonas gingivalisAlters the Gut Microbiome and Serum Metabolome

mSphere ◽  
2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Tamotsu Kato ◽  
Kyoko Yamazaki ◽  
Mayuka Nakajima ◽  
Yasuhiro Date ◽  
Jun Kikuchi ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Periodontal Disease ◽  
Oral Administration ◽  
Gut Microbiome ◽  
Metabolic Diseases ◽  
Microbiota Composition ◽  
Content Type ◽  
Increased Risk ◽  
Metabolite Profiles ◽  
Gut Microbiota Composition

ABSTRACTPeriodontal disease induced by periodontopathic bacteria likePorphyromonas gingivalisis demonstrated to increase the risk of metabolic, inflammatory, and autoimmune disorders. Although precise mechanisms for this connection have not been elucidated, we have proposed mechanisms by which orally administered periodontopathic bacteria might induce changes in gut microbiota composition, barrier function, and immune system, resulting in an increased risk of diseases characterized by low-grade systemic inflammation. Accumulating evidence suggests a profound effect of altered gut metabolite profiles on overall host health. Therefore, it is possible thatP. gingivaliscan affect these metabolites. To test this, C57BL/6 mice were administered withP. gingivalisW83 orally twice a week for 5 weeks and compared with sham-inoculated mice. The gut microbial communities were analyzed by pyrosequencing the 16S rRNA genes. Inferred metagenomic analysis was used to determine the relative abundance of KEGG pathways encoded in the gut microbiota. Serum metabolites were analyzed using nuclear magnetic resonance (NMR)-based metabolomics coupled with multivariate statistical analyses. Oral administration ofP. gingivalisinduced a change in gut microbiota composition. The distributions of metabolic pathways differed between the two groups, including those related to amino acid metabolism and, in particular, the genes for phenylalanine, tyrosine, and tryptophan biosynthesis. Also, alanine, glutamine, histidine, tyrosine, and phenylalanine were significantly increased in the serum ofP. gingivalis-administered mice. In addition to altering immune modulation and gut barrier function, oral administration ofP. gingivalisaffects the host’s metabolic profile. This supports our hypothesis regarding a gut-mediated systemic pathology resulting from periodontal disease.IMPORTANCEIncreasing evidence suggest that alterations of the gut microbiome underlie metabolic disease pathology by modulating gut metabolite profiles. We have shown that orally administeredPorphyromonas gingivalis, a representative periodontopathic bacterium, alters the gut microbiome; that may be a novel mechanism by which periodontitis increases the risk of various diseases. Given the association between periodontal disease and metabolic diseases, it is possible thatP. gingivaliscan affect the metabolites. Metabolite profiling analysis demonstrated that several amino acids related to a risk of developing diabetes and obesity were elevated inP. gingivalis-administered mice. Our results revealed that the increased risk of various diseases byP. gingivalismight be mediated at least in part by alteration of metabolic profiles. The findings should add new insights into potential links between periodontal disease and systemic disease for investigators in periodontal disease and also for investigators in the field of other diseases, such as metabolic diseases.

scholarly journals Physical activity and gut microbiota: a cross-sectional study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
F Gallè ◽  
F Valeriani ◽  
M Antinozzi ◽  
R Liguori ◽  
G Gianfranceschi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gut Microbiota ◽  
Amplicon Sequencing ◽  
Cross Sectional Study ◽  
Microbiota Composition ◽  
Sectional Study ◽  
Microbial Composition ◽  
Cross Sectional ◽  
Bacterial Phyla ◽  
Gut Microbiota Composition

Abstract Background The composition of gut microbiota, and in particular the intestinal abundance of the two main bacterial phyla of Firmicutes and Bacteroidetes, are associated with human health and diseases and may be conditioned by host and environmental factors such as age, gender and diet. The role of Physical Activity (PA) in determining gut microbiota composition has not been yet completely clarified. A cross-sectional study involving undergraduates from two Italian cities is ongoing to explore this relationship. Methods Students were invited to provide a fecal sample and to complete the International Physical Activity Questionnaire (IPAQ) in order to define their habitual PA level (inactive, minimally active, health enhancing physical activity -HEPA- active). Demographic and anthropometric information were also collected. DNA from fecal samples was analyzed through the 16S amplicon sequencing. Microbial composition and variability of the samples were evaluated on the light of participants' PA levels. Results A total of 153 students (47.7% males, mean age 22.4±2.9, mean BMI 22.3±2.7) participated to the study so far. Firmicutes and Bacteroidetes were the main represented phyla. An increase in Firmicutes (58.3±16 to 61.4±13.3, p = 0.68) and a reduction in Bacteroidetes (32.6±14.8 to 30.3±11.4, p = 0.51) have been registered with the increase of PA level. A higher variability (expressed as Shannon α-index) has been detected in minimally active (3.39±0.03) and HEPA-active (3.41±0) individuals respect to inactive subjects (3.35±0.07) (p = 0.05). Conclusions Even if they are not significant, these preliminary results suggest a relationship between PA levels and gut microbiota composition. An active lifestyle seems to be associated with a greater microbial diversity in the gut. Further researches are needed to explain these findings. Key messages Physical activity seems to be associated with gut microbiota composition. A greater variability in gut microbiota was found in active people.

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