Shifts in Lachnospira and Clostridium sp. in the 3-month stool microbiome are associated with preschool age asthma

四分位数 哮喘 医学 优势比 过敏性 置信区间 微生物群 肠道菌群 儿科 内科学 免疫学 生物 生物信息学
作者
Leah T. Stiemsma,Marie‐Claire Arrieta,Pedro A. Dimitriu,Jasmine Cheng,Lisa Thorson,Diana L. Lefebvre,Meghan B. Azad,Padmaja Subbarao,Piush J. Mandhane,Allan B. Becker,Malcolm R. Sears,Tobias R. Kollmann,the Canadian Healthy Infant Longitudinal Development (CHILD) Study Investigators,William W. Mohn,B. Brett Finlay,Stuart E. Turvey
出处
期刊:Clinical Science [Portland Press]
卷期号:130 (23): 2199-2207 被引量:128
标识
DOI:10.1042/cs20160349
摘要

Asthma is a chronic disease of the airways affecting one in ten children in Westernized countries. Recently, our group showed that specific bacterial genera in early life are associated with atopy and wheezing in 1-year-old children. However, little is known about the link between the early life gut microbiome and the diagnosis of asthma in preschool age children. To determine the role of the gut microbiota in preschool age asthma, children up to 4 years of age enrolled in the Canadian Healthy Infant Longitudinal Development (CHILD) study were classified as asthmatic (n=39) or matched healthy controls (n=37). 16S rRNA sequencing and quantitative PCR (qPCR) were used to analyse the composition of the 3-month and 1-year gut microbiome of these children. At 3 months the abundance of the genus, Lachnospira (L), was decreased (P=0.008), whereas the abundance of the species, Clostridium neonatale (C), was increased (P=0.07) in asthmatics. Quartile analysis of stool composition at 3-months revealed a negative association between the ratio of these two bacteria (L/C) and asthma risk by 4 years of age [quartile 1: odds ratio (OR)=15, P=0.02, CI (confidence interval)= 1.8-124.7; quartile 2: OR=1.0, ns; quartile 3: OR=0.37, ns]. We conclude that opposing shifts in the relative abundances of Lachnospira and C. neonatale in the first 3 months of life are associated with preschool age asthma, and that the L/C ratio may serve as a potential early life biomarker to predict asthma development.
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