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Impact of early-life perturbations on pediatric microbiome maturation

早期生活扰动对儿科微生物组成熟的影响

基本信息

批准号：
10298201
负责人：
Gautam Dantas
金额：
$ 75.63万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-06-08 至 2026-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10298201
关键词：
9 year old Acute Address Adult Antibiotic Resistance Antibiotic Therapy Antibiotics Bacteria Basic Science Bioinformatics Birth Carbohydrates Child Childhood Communities Complement Conflict (Psychology)Data Development Diet Disease Environmental Exposure Evolution Exposure to Feces Future Genetic Transcription Genomics Germ-Free Health Heterogeneity Horizontal Gene Transfer Human Human Milk Individual Infant Life Machine Learning Maintenance Maps Medicine Metadata Metagenomics Microbe Mission Mobile Genetic Elements Modeling Neonatal Patients Plasmids Process Property Public Health Recommendation Recording of previous events Research Resolution Risk Salvelinus Shapes Specimen Statistical Models Stimulus Structure Taxonomy Testing Training Twin Multiple Birth United States National Institutes of Health Variant Vitamins Weaning Work amino acid metabolism bacterial community base cohort de novo mutation dietary early life exposure gut bacteria gut microbiome gut microbiota humanized mouse improved improved outcome individual variation infant gut microbiome innovation metabolomics metatranscriptomics microbial microbial community microbiome microbiome composition microbiome research microbiota mouse model multiple omics personalized predictions personalized risk prediction predictive modeling preterm newborn pup repository resistance gene response risk prediction

项目摘要

ABSTRACT During the first 3 years of life (YOL) the infant gut microbiome (GM) rapidly diversifies both in structure and function, concomitant with dietary and environmental transitions. Critically, the GM response to specific external stimuli is patient-specific, complicating individualized risk predictions. Healthy GM maturation includes accruing multiple strains of the same species, which frequently differ in key functions. These functional differences, ac- centuated by horizontal gene transfer (HGT) and de novo mutations, could resolve conflicting associations of the same species with both health and disease. The rationale behind our proposal is that strain- and species- level variation in bacterial functions drives heterogenous GM responses to early-life (EL) dietary and antibiotic perturbations, which explains, in part, individualized developmental trajectories. This proposal pursues two highly complementary Aims: 1) Define strain-resolved functional maturation of the pediatric gut microbiome and 2) Investigate the acute effects of EL antibiotic (ELA) perturbation on strain dynamics, HGT, and micro- biome maturation in preterm neonates and microbiota-humanized mice. Aim 1 will test the hypothesis that EL environmental exposures shape genomic diversification of gut species, causing lasting changes in GM com- munity structure and microbial functions. We will leverage our unique set of 2,436 stools collected over the first 9 YOL from infants variably exposed to dietary and environmental stimuli. By combining culture-enriched meta- genomics, metatranscriptomics, and metabolomics, we will determine taxa-function relationships at the sub-spe- cies level and power statistical models that predict the impact of EL exposures on strain diversification, microbe- function associations, and transcriptional activity. Aim 2 will test the hypothesis that ELAs acutely alter strain dynamics and stimulate HGT and that the GM response to ELA can be predicted from baseline composition and function. Here, we will interrogate 160 stools flanking variable ELA exposure in 80 preterm neonates in the first 4 months of life, combining culture-enriched metagenomics with selective culture and isolate sequencing to char- acterize the preterm `plasmidome' and profile post-ELA strain dynamics and HGT. To identify microbiome-intrin- sic responses to ELA, we will utilize an innovative transgenerational mouse model where germ-free dams receive human, preterm, microbiota that is vertically transferred to their pups, which are treated with parenteral antibiot- ics. We will use the resulting data to predict individual GM responses to specific antibiotics based on composition, resistance gene content, and bacterial functions. Our proposal is innovative because our interdisciplinary re- search team will characterize strain-level bacterial functions to understand the heterogeneity of GM responses to EL perturbations on two pre-existing sets of human specimens; it is significant because it will identify features that predict species-resolved GM-specific responses to EL selection. Our work will advance pediatric microbi- ome research by comprehensively characterizing strain-resolved functional maturation and GM disruption to understand individual variation leading towards a future of personalized, microbiome medicine.