Dataset Information

Dynamics of infant gut microbiota are influenced by delivery mode and gestational duration and are associated with subsequent adiposity.

ABSTRACT:

Unlabelled

We found that the relatively simple microbiota of young infants shifts predictably to a more mature anaerobic microbiota during infancy and the dynamics of this shift are influenced by environmental factors. In this longitudinal study of 75 infants, we demonstrate high interindividual variability within the normal range of birth outcomes, especially in the rate of microbiota progression. Most had acquired a microbiota profile high in Bifidobacterium and Collinsella by 6 months of age, but the time point of this acquisition was later in infants delivered by caesarean section and those born after a shorter duration of gestation. Independently of the delivery mode and gestation duration, infants who acquired a profile high in Bifidobacterium and Collinsella at a later age had lower adiposity at 18 months of age.

Importance

This study shows that the acquisition of the early microbiota is strongly influenced by environmental factors such as the delivery mode and duration of gestation, even in healthy neonates. The composition of the early microbiota has been linked with long-lasting effects on health and disease. Here we show that the rate of acquisition of certain microbiota predicts adiposity at 18 months of age and so potentially the risk of later obesity.

SUBMITTER: Dogra S

PROVIDER: S-EPMC4323417 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Dynamics of infant gut microbiota are influenced by delivery mode and gestational duration and are associated with subsequent adiposity.

Dogra Shaillay S Sakwinska Olga O Soh Shu-E SE Ngom-Bru Catherine C Brück Wolfram M WM Berger Bernard B Brüssow Harald H Lee Yung Seng YS Yap Fabian F Chong Yap-Seng YS Godfrey Keith M KM Holbrook Joanna D JD

mBio 20150203 1

<h4>Unlabelled</h4>We found that the relatively simple microbiota of young infants shifts predictably to a more mature anaerobic microbiota during infancy and the dynamics of this shift are influenced by environmental factors. In this longitudinal study of 75 infants, we demonstrate high interindividual variability within the normal range of birth outcomes, especially in the rate of microbiota progression. Most had acquired a microbiota profile high in Bifidobacterium and Collinsella by 6 months ...[more]

PMID: 25650398

Similar Datasets

Project description:Background and aimsBirth mode and other early life factors affect a newborn's microbial colonization with potential long-term health effects. Individual variations in early life gut microbiota development, especially their effects on the functional repertoire of microbiota, are still poorly characterized. This study aims to provide new insights into the gut microbiome developmental trajectories during the first year of life.MethodsOur study comprised 78 term infants sampled at 3 weeks, 3 months, 6 months, and 12 months (n = 280 total samples), and their mothers were sampled in late pregnancy (n = 50). Fecal DNA was subjected to shotgun metagenomic sequencing. Infant samples were studied for taxonomic and functional maturation, and maternal microbiota was used as a reference. Hierarchical clustering on taxonomic profiles was used to identify the main microbiota developmental trajectories in the infants, and their associations with perinatal and postnatal factors were assessed.ResultsIn line with previous studies, infant microbiota composition showed increased alpha diversity and decreased beta diversity by age, converging toward an adult-like profile. However, we did not observe an increase in functional alpha diversity, which was stable and comparable with the mother samples throughout all the sampling points. Using a de novo clustering approach, two main infant microbiota clusters driven by Bacteroidaceae and Clostridiaceae emerged at each time point. The clusters were associated with birth mode and their functions differed mainly in terms of biosynthetic and carbohydrate degradation pathways, some of which consistently differed between the clusters for all the time points. The longitudinal analysis indicated three main microbiota developmental trajectories, with the majority of the infants retaining their characteristic cluster until 1 year. As many as 40% of vaginally delivered infants were grouped with infants delivered by C-section due to their clear and persistent depletion in Bacteroides. Intrapartum antibiotics, any perinatal or postnatal factors, maternal microbiota composition, or other maternal factors did not explain the depletion in Bacteroides in the subset of vaginally born infants.ConclusionOur study provides an enhanced understanding of the compositional and functional early life gut microbiota trajectories, opening avenues for investigating elusive causes that influence non-typical microbiota development.

Project description:Cesarean (C-section) delivery, recently shown to cause excess weight gain in mice, perturbs human neonatal gut microbiota development due to the lack of natural mother-to-newborn transfer of microbes. Neonates excrete first the in-utero intestinal content (referred to as meconium) hours after birth, followed by intestinal contents reflective of extra-uterine exposure (referred to as transition stool) 2 to 3 days after birth. It is not clear when the effect of C-section on the neonatal gut microbiota emerges. We examined bacterial DNA in carefully-collected meconium, and the subsequent transitional stool, from 59 neonates [13 born by scheduled C-section and 46 born by vaginal delivery] in a private hospital in Brazil. Bacterial DNA was extracted, and the V4 region of the 16S rRNA gene was sequenced using the Illumina MiSeq (San Diego, CA, USA) platform. We found evidence of bacterial DNA in the majority of meconium samples in our study. The bacterial DNA structure (i.e., beta diversity) of meconium differed significantly from that of the transitional stool microbiota. There was a significant reduction in bacterial alpha diversity (e.g., number of observed bacterial species) and change in bacterial composition (e.g., reduced Proteobacteria) in the transition from meconium to stool. However, changes in predicted microbiota metabolic function from meconium to transitional stool were only observed in vaginally-delivered neonates. Within sample comparisons showed that delivery mode was significantly associated with bacterial structure, composition and predicted microbiota metabolic function in transitional-stool samples, but not in meconium samples. Specifically, compared to vaginally delivered neonates, the transitional stool of C-section delivered neonates had lower proportions of the genera Bacteroides, Parabacteroides and Clostridium. These differences led to C-section neonates having lower predicted abundance of microbial genes related to metabolism of amino and nucleotide sugars, and higher abundance of genes related to fatty-acid metabolism, amino-acid degradation and xenobiotics biodegradation. In summary, microbiota diversity was reduced in the transition from meconium to stool, and the association of delivery mode with microbiota structure, composition and predicted metabolic function was not observed until the passing of the transitional stool after meconium.

Project description:BackgroundIn animal studies early life antibiotic exposure causes metabolic abnormalities including obesity through microbiota disruption, but evidence from human studies is scarce. We examined involvement of gut microbiota in the associations between infant antibiotic exposure and childhood adiposity.MethodsInfant antibiotic exposure in the first year of life was ascertained using parental reports during interviewer-administered questionnaires. Primary outcomes were childhood obesity [body mass index (BMI) z-score?>?95th percentile] and adiposity [abdominal circumference (AC) and skinfold (triceps?+?subscapular (SST)) measurements] determined from ages 15-60 months. At age 24 months, when the gut microbiota are more stable, stool samples (n?=?392) were collected for the gut microbiota profiling using co-abundancy networks. Associations of antibiotic exposure with obesity and adiposity (n?=?1016) were assessed using multiple logistic and linear mixed effects regressions. Key bacteria associated with antibiotics exposure were identified by partial redundancy analysis and multivariate association with linear models.ResultsAntibiotic exposure was reported in 38% of study infants. In a fully adjusted model, a higher odds of obesity from 15-60 months of age was observed for any antibiotic exposure [OR(95% CI)?=?1.45(1.001, 2.14)] and exposure to ?3 courses of antibiotics [2.78(1.12, 6.87)]. For continuous adiposity indicators, any antibiotic exposure was associated with higher BMI z-score in boys [??=?0.15(0.01, 0.28)] but not girls [??=?-0.04(-0.19, 0.11)] (P interaction?=?0.026). Similarly, exposure to ?3 courses of antibiotics was associated with higher AC in boys [1.15(0.05, 2.26)?cm] but not girls [0.57(-1.32, 2.45)?cm] (P interaction not significant). Repeated exposure to antibiotics was associated with a significant reduction (FDR-corrected P values?<?0.05) in a microbial co-abundant group (CAG) represented by Eubacterium hallii, whose proportion was negatively correlated with childhood adiposity. Meanwhile, a CAG represented by Tyzzerella 4 was positively correlated with the repeated use of antibiotics and childhood adiposity.ConclusionsInfant antibiotic exposure was associated with disruption of the gut microbiota and the higher risks of childhood obesity and increased adiposity.

Dataset Information

Dynamics of infant gut microbiota are influenced by delivery mode and gestational duration and are associated with subsequent adiposity.

Unlabelled

Importance

Publications

Dynamics of infant gut microbiota are influenced by delivery mode and gestational duration and are associated with subsequent adiposity.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets