Composition and Associations of the Infant Gut Fungal Microbiota with Environmental Factors and Childhood Allergic Outcomes.
Composition and Associations of the Infant Gut Fungal Microbiota with Environmental Factors and Childhood Allergic Outcomes.
复制标题
婴儿肠道真菌微生物群的组成及其与环境因素和儿童过敏结局的关系。
DOI：
10.1128/mbio.03396-20
复制
发表时间：
2021-06-29
期刊：
影响因子：
6.4
通讯作者：
Finlay BB
中科院分区：
文献类型：
--
作者：
Boutin RCT;Sbihi H;McLaughlin RJ;Hahn AS;Konwar KM;Loo RS;Dai D;Petersen C;Brinkman FSL;Winsor GL;Sears MR;Moraes TJ;Becker AB;Azad MB;Mandhane PJ;Subbarao P;Turvey SE;Finlay BB
尽管在肠道微生物群研究中经常被忽视，但最近的证据表明，婴儿期肠道真菌菌群（真菌微生物群）群落失衡或生态失调与炎症性疾病（如哮喘）相关的细菌生态失调状态有关。在本研究中，我们(i)对来自CHILD队列研究的343名婴儿在3个月和1岁时的肠道菌群进行了表征，（ii）定义了肠道菌群群落组成与环境因素之间的关系，这些因素与5岁时吸入性过敏致敏（特应性）的发展有关，（iii）利用这些数据建立了5岁时吸入性特应性状态的预测模型。我们表明，在加拿大婴儿中，真菌群落的组成在生命的第一年发生了巨大的变化。已知影响肠道细菌群落的早期环境因素也与肠道真菌群落α多样性、β多样性和/或特定真菌分类群的相对丰度的差异有关。此外，这些指标在健康婴儿和5岁前出现吸入性过敏致敏（特应性）的婴儿之间存在差异。利用合理选择的一组早期环境因素，结合1岁时的真菌群落组成，我们开发了一个机器学习逻辑回归模型，该模型可以预测5岁时的吸入剂特应性状态，准确率为81%。总之，这些数据表明婴儿肠道菌群在生命早期免疫发育中的重要作用，并表明生命早期行为或治疗干预有可能改变婴儿肠道真菌群落，对婴儿的长期健康有影响。
Although often neglected in gut microbiota studies, recent evidence suggests that imbalanced, or dysbiotic, gut mycobiota (fungal microbiota) communities in infancy coassociate with states of bacterial dysbiosis linked to inflammatory diseases such as asthma. In the present study, we (i) characterized the infant gut mycobiota at 3 months and 1 year of age in 343 infants from the CHILD Cohort Study, (ii) defined associations among gut mycobiota community composition and environmental factors for the development of inhalant allergic sensitization (atopy) at age 5 years, and (iii) built a predictive model for inhalant atopy status at age 5 years using these data. We show that in Canadian infants, fungal communities shift dramatically in composition over the first year of life. Early-life environmental factors known to affect gut bacterial communities were also associated with differences in gut fungal community alpha diversity, beta diversity, and/or the relative abundance of specific fungal taxa. Moreover, these metrics differed among healthy infants and those who developed inhalant allergic sensitization (atopy) by age 5 years. Using a rationally selected set of early-life environmental factors in combination with fungal community composition at 1 year of age, we developed a machine learning logistic regression model that predicted inhalant atopy status at 5 years of age with 81% accuracy. Together, these data suggest an important role for the infant gut mycobiota in early-life immune development and indicate that early-life behavioral or therapeutic interventions have the potential to modify infant gut fungal communities, with implications for an infant’s long-term health.