Begley Lesa, Madapoosi Siddharth, Opron Kristopher, Ndum Ogechukwu, Baptist Alan, Rysso Kelly, Erb-Downward John R, Huang Yvonne Jean
Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Bioinformatics Core, University of Michigan Medical School, Ann Arbor, Michigan, USA.
BMJ Open Respir Res. 2018 Sep 23;5(1):e000324. doi: 10.1136/bmjresp-2018-000324. eCollection 2018.
Despite strong evidence that maturation patterns of the gut microbiome in early life influence the risk for childhood asthma, very little is known about gut microbiota patterns in adults with established asthma, and of greater interest relationships to phenotypic features that characterise asthma heterogeneity.
Fifty-eight faecal samples from 32 adults with (n=24) and without (n=8) asthma were analysed using 16S ribosomal RNA gene sequencing methods to characterise intestinal bacterial composition. Compositional stability of paired samples was evaluated and features of gut bacterial community structure analysed in relation to extensive clinical characterisation data collected from subjects, who were enrolled in a prospective observational cohort study at the University of Michigan.
Differences in gut bacterial community structure were associated with aeroallergen sensitisation and lung function as assessed by forced expiratory volume in 1 s (FEV) %predicted. Associations with FEV were consistently observed across independent analytic approaches. k-means clustering of the gut microbiota data in subjects with asthma revealed three different clusters, distinguished most strongly by FEV (p<0.05) and trends in differences in other clinical and inflammatory features.
In this pilot study of asthmatic and non-asthmatic subjects, significant relationships between gut microbiota composition, aeroallergen sensitisation and lung function were observed. These preliminary findings merit further study in larger cohorts to explore possible mechanistic links to asthma phenotype.
尽管有充分证据表明,生命早期肠道微生物群的成熟模式会影响儿童患哮喘的风险,但对于已确诊哮喘的成年人的肠道微生物群模式,以及与哮喘异质性特征性表型特征的关系,我们知之甚少。
使用16S核糖体RNA基因测序方法分析了32名成年人(24名患有哮喘,8名未患哮喘)的58份粪便样本,以表征肠道细菌组成。评估了配对样本的组成稳定性,并根据从密歇根大学前瞻性观察队列研究中的受试者收集的广泛临床特征数据,分析了肠道细菌群落结构的特征。
肠道细菌群落结构的差异与气传变应原致敏和肺功能相关,肺功能通过1秒用力呼气量(FEV)占预计值百分比进行评估。在独立的分析方法中始终观察到与FEV的关联。对哮喘患者的肠道微生物群数据进行k均值聚类,发现了三个不同的聚类,最显著的区别在于FEV(p<0.05)以及其他临床和炎症特征的差异趋势。
在这项针对哮喘和非哮喘受试者的初步研究中,观察到肠道微生物群组成、气传变应原致敏和肺功能之间存在显著关系。这些初步发现值得在更大的队列中进一步研究,以探索与哮喘表型可能的机制联系。