Karvonen A M, Hyvärinen A, Rintala H, Korppi M, Täubel M, Doekes G, Gehring U, Renz H, Pfefferle P I, Genuneit J, Keski-Nisula L, Remes S, Lampi J, von Mutius E, Pekkanen J
Department of Environmental Health, National Institute for Health and Welfare, Kuopio, Finland.
Allergy. 2014 Aug;69(8):1092-101. doi: 10.1111/all.12439. Epub 2014 Jun 13.
Early-life exposure to environmental microbial agents may be associated with the development of allergies. The aim of the study was to identify better ways to characterize microbial exposure as a predictor of respiratory symptoms and allergies.
A birth cohort of 410 children was followed up until 6 years of age. Bacterial endotoxin, 3-hydroxy fatty acids, N-acetyl-muramic acid, fungal extracellular polysaccharides (EPS) from Penicillium and Aspergillus spp., β-D-glucan, ergosterol, and bacterial or fungal quantitative polymerase chain reactions (qPCRs) were analyzed from dust samples collected at 2 months of age. Asthma, wheezing, cough, and atopic dermatitis were assessed using repeated questionnaires. Specific IgEs were determined at the age of 1 and 6 years.
Only few associations were found between single microbial markers and the studied outcomes. In contrast, a score for the total quantity of microbial exposure, that is, sum of indicators for fungi (ergosterol), Gram-positive (muramic acid) bacteria, and Gram-negative (endotoxin) bacteria, was significantly (inverted-U shape) associated with asthma incidence (P < 0.001): the highest risk was found at medium levels (adjusted odds ratio (aOR) 2.24, 95% confidence interval (95% CI) 0.87-5.75 for 3rd quintile) and the lowest risk at the highest level (aOR 0.34, 95% CI 0.09-1.36 for 5th quintile). The microbial diversity score, that is, sum of detected qPCRs, was inversely associated with risk of wheezing and was significantly (inverted-U shape) associated with sensitization to inhalant allergens.
Score for quantity of microbial exposure predicted asthma better than single microbial markers independently of microbial diversity and amount of dust. Better indicators of total quantity and diversity of microbial exposure are needed in studies on the development of asthma.
生命早期暴露于环境微生物因子可能与过敏症的发生有关。本研究的目的是确定更好的方法来将微生物暴露特征化为呼吸道症状和过敏症的预测指标。
对410名儿童的出生队列进行随访至6岁。分析了2月龄时采集的灰尘样本中的细菌内毒素、3-羟基脂肪酸、N-乙酰胞壁酸、来自青霉属和曲霉属的真菌胞外多糖(EPS)、β-D-葡聚糖、麦角固醇以及细菌或真菌定量聚合酶链反应(qPCR)。使用重复问卷评估哮喘、喘息、咳嗽和特应性皮炎。在1岁和6岁时测定特异性IgE。
在单个微生物标志物与所研究结局之间仅发现少数关联。相比之下,微生物暴露总量评分,即真菌(麦角固醇)、革兰氏阳性(胞壁酸)菌和革兰氏阴性(内毒素)菌指标的总和,与哮喘发病率显著呈倒U形相关(P<0.001):中等水平风险最高(第三五分位数的调整优势比(aOR)为2.24,95%置信区间(95%CI)为0.87 - 5.75),最高水平风险最低(第五五分位数的aOR为0.34,95%CI为0.09 - 1.36)。微生物多样性评分,即检测到的qPCR总和,与喘息风险呈负相关,且与吸入性过敏原致敏显著呈倒U形相关。
微生物暴露量评分比单个微生物标志物能更好地预测哮喘,且独立于微生物多样性和灰尘量。在哮喘发生发展的研究中需要更好的微生物暴露总量和多样性指标。