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Diversity and quantity of bacteria in farm and non-farm environments and the relation to asthma and allergy

机译:农场和非农场环境中细菌的多样性和数量及其与哮喘和过敏的关系

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Background Prevalence of asthma and atopic diseases have increased in the last decades and it is clear that this trend is more pronounced in children living in cities compared with children who live in farm environments. There is still little known about the factors and mechanisms behind this protective quality. Aims The aim of this study was to identify bacterial exposures in the context of the farming environment that are associated with asthma or atopy. Methods Mattress dust samples were collected from children from farmers, exposed non-farmers and controls homes and analysed using denaturing gradient gel electrophoresis (DGGE) to obtain a spectrum of bacterial signals. Dichotomized DGGE bands occurrence data were analysed against asthma, atopy and other health outcomes and environmental factors using Tobit regression and Chi-square test. Bands with significant associations (p<0.05) were identified; based on these findings, selected bacterial groups were subsequently targeted and quantified using quantitative polymerase chain reaction (qPCR). We used splined analysis, adjusted for age and gender, to explore associations between levels of microbes and health outcomes. Results All together 43 DOGE bands were found, six of them were significantly associated with asthma or atopy. Four bacterial groups were quantified via qPCR; Mycobacterium spp., Bifidobacterium spp., Clostridium spp. cluster Ⅰ and cluster Ⅺ. Enumeration in the different exposure strata resulted in highest levels of microbes in homes from farm children, except for Bifidobacterium spp.We observed inverse associations between levels of all of these bacterial groups and atopy; these associations were specifically visible in the non-farm children. Conclusions The study design and methodological approach followed here allowed to identify bacterial signals in mattress dust with indication to be protective for asthma and allergy. Quantitative levels of these bacterial groups confirmed inverse association to atopy in children.
机译:背景技术在过去的几十年中,哮喘和特应性疾病的患病率呈上升趋势,显然,与居住在农场环境中的儿童相比,居住在城市中的儿童这一趋势更为明显。关于这种保护质量背后的因素和机制仍然知之甚少。目的本研究的目的是确定与哮喘或特应性疾病有关的农业环境下的细菌暴露。方法从农民,裸露的非农民和对照家庭的儿童中收集床垫灰尘样品,并使用变性梯度凝胶电泳(DGGE)进行分析,以获取细菌信号的光谱。使用Tobit回归和卡方检验分析了二分类DGGE谱带发生数据,以针对哮喘,特应性疾病和其他健康结果以及环境因素进行分析。识别出具有显着关联的谱带(p <0.05);基于这些发现,随后使用定量聚合酶链反应(qPCR)对选定的细菌组进行了靶向和定量。我们使用了针对年龄和性别进行调整的样条分析,以探讨微生物水平与健康结果之间的关联。结果共发现43条DOGE带,其中6条与哮喘或特应性显着相关。通过qPCR对四个细菌组进行定量。分枝杆菌属,双歧杆菌属,梭菌属。簇Ⅰ和簇Ⅺ。除双歧杆菌属菌种外,在不同的暴露层次进行计数导致农场儿童家中的微生物水平最高。这些关联在非农儿童中特别明显。结论此处采用的研究设计和方法论方法可以鉴定床垫尘埃中的细菌信号,并具有预防哮喘和过敏的作用。这些细菌组的定量水平证实了儿童特应性与反向关联。

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