The association between early-life gut microbiota and childhood respiratory diseases: a systematic review

被引:57
作者
Alcazar, Cristina Garcia-Maurino [1 ]
Paes, Veena Mazarello [2 ,3 ]
Shao, Yan [4 ]
Oesser, Clarissa [1 ]
Miltz, Ada [1 ]
Lawley, Trevor D. [4 ]
Brocklehurst, Peter [6 ]
Rodger, Alison [1 ,5 ]
Field, Nigel [1 ]
机构
[1] UCL, Inst Global Hlth, London WC1E 6JB, England
[2] UCL, Inst Child Hlth, London, England
[3] Univ Oxford, John Radcliffe Hosp, Oxford, England
[4] Wellcome Sanger Inst, Host Microbiota Interact Lab, Hinxton, England
[5] Royal Free London NHS Fdn Trust, Royal Free Hosp, London, England
[6] Univ Birmingham, Inst Appl Hlth Res, Birmingham, W Midlands, England
来源
LANCET MICROBE | 2022年 / 3卷 / 11期
基金
英国惠康基金;
关键词
INTESTINAL MICROBIOTA; LONGITUDINAL ANALYSIS; NEONATAL GUT; 1ST YEAR; ASTHMA; METAGENOMICS; INFANCY; MODE; AGE;
D O I
10.1016/S2666-5247(22)00184-7
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Data from animal models suggest a role of early-life gut microbiota in lung immune development, and in establishing susceptibility to respiratory infections and asthma in humans. This systematic review summarises the association between infant (ages 0-12 months) gut microbiota composition measured by genomic sequencing, and childhood (ages 0-18 years) respiratory diseases (ie, respiratory infections, wheezing, or asthma). Overall, there was evidence that low a-diversity and relative abundance of particular gut-commensal bacteria genera (Bifidobacterium, Faecalibacterium, Ruminococcus, and Roseburia) are associated with childhood respiratory diseases. However, results were inconsistent and studies had important limitations, including insufficient characterisation of bacterial taxa to species level, heterogeneous outcome definitions, residual confounding, and small sample sizes. Large longitudinal studies with stool sampling during the first month of life and shotgun metagenomic approaches to improve bacterial and fungal taxa resolution are needed. Standardising follow-up times and respiratory disease definitions and optimising causal statistical approaches might identify targets for primary prevention of childhood respiratory diseases.
引用
收藏
页码:E867 / E880
页数:14
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