Dataset Information

Modeling the impact of antibiotic exposure on human microbiota.

ABSTRACT: Human-associated microbial communities play important roles in health and disease. Antibiotic administration is arguably one of the most important modifiable determinants of the composition of the human microbiota. However, quantitatively modeling antibiotic use to account for its impact on microbial community dynamics presents a challenge. We used antibiotic therapy of chronic lung infection in persons with cystic fibrosis as a model system to assess the influence of key variables of therapy on measures of microbial community perturbation. We constructed multivariate linear mixed models with bacterial community diversity as the outcome measure and various scales of antibiotic weighting as predictors, while controlling for other variables. Antibiotic weighting consisted of three components: (i) dosing duration; (ii) timing of administration relative to sample collection; and (iii) antibiotic type and route of administration. Antibiotic weighting based on total dose and proximity to the time of sampling was most predictive of bacterial community change. Using this model to control for antibiotic use enabled the identification of other significant independent predictors of microbial community diversity such as dominant taxon, disease stage, and gender. Quantitative modeling of antibiotic use is critical in understanding the relationships between human microbiota and disease treatment and progression.

SUBMITTER: Zhao J

PROVIDER: S-EPMC3949250 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Modeling the impact of antibiotic exposure on human microbiota.

Zhao Jiangchao J Murray Susan S Lipuma John J JJ

Scientific reports 20140311

Human-associated microbial communities play important roles in health and disease. Antibiotic administration is arguably one of the most important modifiable determinants of the composition of the human microbiota. However, quantitatively modeling antibiotic use to account for its impact on microbial community dynamics presents a challenge. We used antibiotic therapy of chronic lung infection in persons with cystic fibrosis as a model system to assess the influence of key variables of therapy on ...[more]

PMID: 24614401

Similar Datasets

Project description:BackgroundBreast milk is a complex biofluid that provides nutrients and bioactive agents, including bacteria, for the development of the infant gut microbiota. However, the impact of maternal diet and other factors, such as mode of delivery and antibiotic exposure, on the breast milk microbiota has yet to be understood.ObjectivesThis study aimed to examine the association between maternal diet and breast milk microbiota and to ascertain the potential role of mode of delivery and antibiotic exposure.MethodsIn a cross-sectional study of the MAMI cohort, breast milk microbiota profiling was assessed in 120 samples from healthy mothers by 16S rRNA gene sequencing. Maternal dietary information was recorded through an FFQ, and clinical characteristics, including mode of delivery, antibiotic exposure, and exclusive breastfeeding, were collected.ResultsMaternal diet was grouped into 2 clusters: Cluster I (high intake of plant protein, fiber, and carbohydrates), and Cluster II (high intake of animal protein and lipids). Breast milk microbiota was shaped by maternal dietary clusters. Staphylococcus and Bifidobacterium were associated with carbohydrate intake whereas the Streptococcus genus was associated with intakes of the n-3 PUFAs [EPA and docosapentaenoic acid (22:5?-3)]. Mode of delivery and antibiotic exposure influenced breast milk microbiota in a diet cluster-dependent manner. Differences between/among the maternal dietary clusters were found in the milk microbiota of the cesarean-section (C-section)/antibiotic group, whereas no differences were observed in vaginal births. Lower abundances of Lactobacillus, Bacteroides, and Sediminibacterium genera were observed in Cluster II/C-section/antibiotic exposure compared with the other groups.ConclusionsMaternal diet shapes the composition and diversity of breast milk microbiota, with the most important contributions coming from dietary fiber and both plant and animal protein intakes. The relation between the maternal diet and the milk microbiota needs further research because it has a key impact on infant microbiota development and contributes to infant health outcomes in the short and long term.This trial was registered at clinicaltrials.gov as NCT03552939.

Dataset Information

Modeling the impact of antibiotic exposure on human microbiota.

Publications

Modeling the impact of antibiotic exposure on human microbiota.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure