Dannemiller Karen C, Gent Janneane F, Leaderer Brian P, Peccia Jordan
Department of Chemical and Environmental Engineering, Yale University, New Haven, Conn.
Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, Conn.
J Allergy Clin Immunol. 2016 Jul;138(1):76-83.e1. doi: 10.1016/j.jaci.2015.11.027. Epub 2016 Feb 4.
Allergic and nonallergic asthma severity in children can be affected by microbial exposures.
We sought to examine associations between exposures to household microbes and childhood asthma severity stratified by atopic status.
Participants (n = 196) were selected from a cohort of asthmatic children in Connecticut and Massachusetts. Children were grouped according to asthma severity (mild with no or minimal symptoms and medication or moderate to severe persistent) and atopic status (determined by serum IgE levels). Microbial community structure and concentrations in house dust were determined by using next-generation DNA sequencing and quantitative PCR. Logistic regression was used to explore associations between asthma severity and exposure metrics, including richness, taxa identification and quantification, community composition, and concentration of total fungi and bacteria.
Among all children, increased asthma severity was significantly associated with an increased concentration of summed allergenic fungal species, high total fungal concentrations, and high bacterial richness by using logistic regression in addition to microbial community composition by using the distance comparison t test. Asthma severity in atopic children was associated with fungal community composition (P = .001). By using logistic regression, asthma severity in nonatopic children was associated with total fungal concentration (odds ratio, 2.40; 95% CI, 1.06-5.44). The fungal genus Volutella was associated with increased asthma severity in atopic children (P = .0001, q = 0.04). The yeast genera Kondoa might be protective; Cryptococcus species might also affect asthma severity.
Asthma severity among this cohort of children was associated with microbial exposure, and associations differed based on atopic status.
儿童过敏性和非过敏性哮喘的严重程度可能受微生物暴露的影响。
我们试图研究家庭微生物暴露与按特应性状态分层的儿童哮喘严重程度之间的关联。
从康涅狄格州和马萨诸塞州的一组哮喘儿童中选取参与者(n = 196)。根据哮喘严重程度(轻度,无或有极少症状且无需用药;或中度至重度持续性)和特应性状态(由血清IgE水平确定)对儿童进行分组。通过使用下一代DNA测序和定量PCR来确定房屋灰尘中的微生物群落结构和浓度。使用逻辑回归来探索哮喘严重程度与暴露指标之间的关联,包括丰富度、分类群鉴定和定量、群落组成以及总真菌和细菌的浓度。
在所有儿童中,除了使用距离比较t检验的微生物群落组成外,通过逻辑回归分析发现,哮喘严重程度增加与总致敏真菌种类浓度增加、总真菌浓度高以及细菌丰富度高显著相关。特应性儿童的哮喘严重程度与真菌群落组成有关(P = 0.001)。通过逻辑回归分析,非特应性儿童的哮喘严重程度与总真菌浓度有关(比值比,2.40;95%置信区间,1.06 - 5.44)。真菌属Volutella与特应性儿童哮喘严重程度增加有关(P = 0.0001,q = 0.04)。酵母属Kondoa可能具有保护作用;隐球菌属也可能影响哮喘严重程度。
该队列儿童的哮喘严重程度与微生物暴露有关,且关联因特应性状态而异。