Univ. Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France.
Univ. Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France.
Environ Res. 2021 May;196:110422. doi: 10.1016/j.envres.2020.110422. Epub 2020 Nov 5.
Environmental research on multifactorial health outcomes calls for exposome approaches able to assess the joint effect of multiple exposures.
Our aim was to identify profiles of exposure to lifestyle/environmental factors associated with lung function in adults with asthma using a cluster-based approach.
We used data from 599 adults of the Epidemiological study on the Genetics and Environment of Asthma, bronchial hyperresponsiveness and atopy (EGEA) (mean age 39.0 years, 52% men) who ever had asthma. Exposures to 53 lifestyle/environmental factors were assessed by questionnaires or geographic information systems-based models. A two-step approach was developed: 1) exposome dimension reduction by selecting factors showing association with forced expiratory volume in 1 s (FEV) (p < 0.20) in an exposome-wide association study (ExWAS), 2) clustering analysis using the supervised Bayesian Profile Regression (sBPR) to group individuals according to FEV level and to their profile of exposure to a reduced set of uncorrelated exposures (each paired correlation<0.70) identified in step 1.
The ExWAS identified 21 factors showing suggestive association with FEV (none significant when controlling for multiple tests). The sBPR conducted on 15 uncorrelated exposures identified in step 1, revealed 3 clusters composed of 30, 115 and 454 individuals with a mean ± SD FEV(%pred) of 79% ± 21, 90% ± 19 and 93% ± 16, respectively. Cluster 1 was composed of individuals with heavy smoking, poor diet, higher outdoor humidity and proximity to traffic, while cluster 2 and 3 included individuals with moderate/low levels of exposure to these factors.
This exposome study identified a specific profile of joint lifestyle and environmental factors, associated with a low FEV in adults with asthma. None of the exposures revealed significant association when considered independently.
多因素健康结果的环境研究需要能够评估多种暴露因素联合效应的暴露组学方法。
我们旨在使用基于聚类的方法，确定与哮喘成人肺功能相关的生活方式/环境因素暴露特征。
我们使用了来自哮喘、支气管高反应性和过敏症的遗传学和环境（EGEA）流行病学研究（599 名成年人，平均年龄 39.0 岁，52%为男性，其中曾患有哮喘）的数据。通过问卷或基于地理信息系统的模型评估了 53 种生活方式/环境因素的暴露情况。采用两步法进行分析：1）通过在暴露组全关联研究（ExWAS）中选择与 1 秒用力呼气量（FEV）呈关联的因素（p < 0.20）进行暴露组维度缩减；2）使用有监督贝叶斯轮廓回归（sBPR）对个体进行聚类分析，根据 FEV 水平和在步骤 1 中确定的与减少的无相关性暴露（每个配对相关系数<0.70）的暴露特征对个体进行分组。
ExWAS 确定了 21 个与 FEV 呈显著相关的因素（经多次检验校正后无显著意义）。在步骤 1 中确定的 15 个无相关性暴露因素上进行的 sBPR 分析，揭示了 3 个聚类，由 30、115 和 454 名个体组成，其平均 FEV（%预测值）分别为 79%±21、90%±19 和 93%±16。聚类 1 由大量吸烟、不良饮食、较高的室外湿度和靠近交通的个体组成，而聚类 2 和 3 则包含暴露于这些因素的个体。
这项暴露组学研究确定了与哮喘成人低 FEV 相关的特定生活方式和环境因素组合特征。当单独考虑时，没有一个暴露因素显示出显著的相关性。
