Prenatal phthalate, paraben, and phenol exposure and childhood allergic and respiratory outcomes: Evaluating exposure to chemical mixtures
Prenatal phthalate, paraben, and phenol exposure and childhood allergic and respiratory outcomes: Evaluating exposure to chemical mixtures
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DOI：
10.1016/j.scitotenv.2020.138418
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发表时间：
2020-07-10
影响因子：
9.8
通讯作者：
Harley, Kim
中科院分区：
文献类型：
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作者：
Berger, Kimberly;Coker, Eric;Harley, Kim
背景：在个人护理产品和塑料中发现的化学物质与哮喘、过敏和肺功能有关，但解决现实生活中暴露于这些化学物质混合物的方法尚未应用于这些关联。方法：我们量化了母亲在怀孕期间两次尿中11种邻苯二甲酸酯代谢物、4种对羟基苯甲酸酯和5种其他酚类物质的浓度，并评估了她们7岁孩子可能的哮喘、空气过敏和肺功能。我们采用贝叶斯特征回归（BPR）对接触这些化学物质的女性进行分组，并测试分组结果测量的差异。我们使用贝叶斯核机回归（BKMR）将生物标志物作为联合自变量拟合到一个模型中。结果：BPR将女性分成七组，以个人护理产品和塑料使用的模式为特征，尽管各组之间的结果没有显著差异。BKMR显示，邻苯二甲酸单羧基异辛酯和2,4-二氯酚与哮喘发生概率（生物标志物z-score每IQR预测哮喘发生概率（标准差）分别为0.08（0.09）和0.11(0.12)）和肺功能较差（每IQR预测概率分别为-0.07（0.05）和-0.07(0.06)）相关。邻苯二甲酸单（3-羧基丙基）酯和双酚A与空气过敏有关（每IQR的预测概率分别为0.13（0.09）和0.11(0.08)）。一些生物标志物显示出对其他关联的积极累加效应。结论：BPR和BKMR是评估混合暴露中生物标志物浓度关联的有用工具，在数据允许的情况下应补充单一化学回归模型。(C) 2020 Elsevier B.V.版权所有
Background: Chemicals found in personal care products and plastics have been associated with asthma, allergies, and lung function, but methods to address real life exposure to mixtures of these chemicals have not been applied to these associations.Methods: We quantified urinary concentrations of eleven phthalate metabolites, four parabens, and five other phenols in mothers twice during pregnancy and assessed probable asthma, aeroallergies, and lung function in their age seven children. We implemented Bayesian Profile Regression (BPR) to cluster women by their exposures to these chemicals and tested the clusters for differences in outcome measurements. We used Bayesian Kernel Machine Regression (BKMR) to fit biomarkers into one model as joint independent variables.Results: BPR clustered women into seven groups characterized by patterns of personal care product and plastic use, though there were no significant differences in outcomes across clusters. BKMR showed that monocarboxyisooctyl phthalate and 2,4-dichlorophenol were associated with probable asthma (predicted probability of probable asthma per IQR of biomarker z-score (standard deviation) = 0.08 (0.09) and 0.11 (0.12), respectively) and poorer lung function (predicted probability per IQR = -0.07 (0.05) and -0.07 (0.06), respectively), and that mono(3-carboxypropyl) phthalate and bisphenol A were associated with aeroallergies (predicted probability per IQR = 0.13 (0.09) and 0.11 (0.08), respectively). Several biomarkers demonstrated positive additive effects on other associations.Conclusions: BPR and BKMR are useful tools to evaluate associations of biomarker concentrations within a mixture of exposure and should supplement single-chemical regression models when data allow. (C) 2020 Elsevier B.V. All rights reserved.