Risk of immune-related diseases in childhood after intrapartum antibiotic exposure.

BACKGROUND: Intrapartum antibiotic prophylaxis is effective in preventing early-onset group B streptococcal disease in newborn infants, but it influences gut microbiota development. Gut microbiota composition is, in turn, associated with immune-related diseases in childhood. OBJECTIVE: This study hypothesized that intrapartum antibiotic exposure is associated with immune-related diseases in childhood. STUDY DESIGN: We conducted a population-based cohort study of vaginally delivered children. We retrieved data on intrapartum antibiotic exposure from structured electronic medical records and obtained outcome data on childhood autoimmune, allergic, and obstructive airway diseases from comprehensive national registers. We used Cox regression analysis with adjustment for maternal and neonatal covariates and regarded death as a competing risk in the analyses. RESULTS: The study population comprised 45,575 vaginally born children of whom 9733 (21%) had been exposed to intrapartum antibiotics. Intrapartum antibiotic exposure was associated with an autoimmune disease diagnosis (adjusted hazard ratio, 1.28; 95% confidence interval, 1.02-1.62), which corresponds to 22% (95% confidence interval, 6-39) as a theoretical population-attributable fraction. Intrapartum antibiotic exposure was not associated with diagnoses of allergic (adjusted hazard ratio, 1.08; 95% confidence interval, 0.97-1.20) or obstructive airway diseases (adjusted hazard ratio, 1.04; 95% confidence interval, 0.96-1.14). CONCLUSION: Intrapartum antibiotic exposure may be associated with an increased risk for autoimmune diseases in childhood. This finding supports the efforts to develop more specific group B streptococcal disease prevention strategies in the future.

Microbiota of the first-pass meconium and subsequent atopic and allergic disorders in children.

BACKGROUND: Some cohort studies have suggested that gut microbiota composition is associated with allergic diseases in children. The microbiota of the first-pass meconium, which forms before birth, represents the first gut microbiota that is easily available for research and little is known about any relationship with allergic disease development. OBJECTIVE: We investigated whether the bacterial composition of the first-pass meconium is associated with the development of allergic diseases before 4 years of age. METHODS: Prospective birth cohort study. Bacterial composition of first-pass meconium was analysed using bacterial 16S rRNA gene amplicon sequencing. Atopic and allergic diseases were evaluated via online survey or telephone to age 4 years, based on the International Study of Asthma and Allergies in Childhood questionnaire. RESULTS: During a 6-week period in 2014, 312 children were born at the Central Finland Central Hospital. Meconium was collected from 212 at a mean of 8-hour age. Outcome data at 4 years were available for 177 (83%) children, and 159 of these had sufficient amplification of bacterial DNA in meconium. Meconium microbiota composition, including diversity indices and relative abundances of the main phyla and genera, was not associated with subsequent atopic eczema, wheezing or cow's milk allergy. Principal components analysis did not identify any clustering of the meconium microbiomes of children with respect to wheezing or cow's milk allergy. CONCLUSIONS: We found no evidence that gut microbiota composition of first-pass meconium is associated with atopic manifestations to age 4 years. However, larger studies are needed to fully exclude a relationship.

Antibiotics at birth and later antibiotic courses: effects on gut microbiota.

BACKGROUND: Intrapartum antibiotic prophylaxis (IAP) is widely used, but the evidence of the long-term effects on the gut microbiota and subsequent health of children is limited. Here, we compared the impacts of perinatal antibiotic exposure and later courses of antibiotic courses on gut microbiota. METHODS: This was a prospective, controlled cohort study among 100 vaginally delivered infants with different perinatal antibiotic exposures: control (27), IAP (27), postnatal antibiotics (24), and IAP and postnatal antibiotics (22). At 1 year of age, we performed next-generation sequencing of the bacterial 16S ribosomal RNA gene of fecal samples. RESULTS: Exposure to the perinatal antibiotics had a clear impact on the gut microbiota. The abundance of the Bacteroidetes phylum was significantly higher in the control group, whereas the relative abundance of Escherichia coli was significantly lower in the control group. The impact of the perinatal antibiotics on the gut microbiota composition was greater than exposure to later courses of antibiotics (28% of participants). CONCLUSIONS: Perinatal antibiotic exposure had a marked impact on the gut microbiota at the age of 1 year. The timing of the antibiotic exposure appears to be the critical factor for the changes observed in the gut microbiota. IMPACT: Infants are commonly exposed to IAP and postnatal antibiotics, and later to courses of antibiotics during the first year of life. Perinatal antibiotics have been associated with an altered gut microbiota during the first months of life, whereas the evidence regarding the long-term impact is more limited. Perinatal antibiotic exposure had a marked impact on the infant's gut microbiota at 1 year of age. Impact of the perinatal antibiotics on the gut microbiota composition was greater than that of the later courses of antibiotics at the age of 1 year.

Delivery mode and perinatal antibiotics influence the predicted metabolic pathways of the gut microbiome.

Delivery mode and perinatal antibiotics influence gut microbiome composition in children. Most microbiome studies have used the sequencing of the bacterial 16S marker gene but have not reported the metabolic function of the gut microbiome, which may mediate biological effects on the host. Here, we used the PICRUSt2 bioinformatics tool to predict the functional profiles of the gut microbiome based on 16S sequencing in two child cohorts. Both Caesarean section and perinatal antibiotics markedly influenced the functional profiles of the gut microbiome at the age of 1 year. In machine learning analysis, bacterial fatty acid, phospholipid, and biotin biosynthesis were the most important pathways that differed according to delivery mode. Proteinogenic amino acid biosynthesis, carbohydrate degradation, pyrimidine deoxyribonucleotide and biotin biosynthesis were the most important pathways differing according to antibiotic exposure. Our study shows that both Caesarean section and perinatal antibiotics markedly influence the predicted metabolic profiles of the gut microbiome at the age of 1 year.