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Prenatal phthalate, paraben, and phenol exposure and childhood allergic and respiratory outcomes: Evaluating exposure to chemical mixtures.
Science of the Total Environment ( IF 8.2 ) Pub Date : 2020-04-03 , DOI: 10.1016/j.scitotenv.2020.138418
Kimberly Berger 1 , Eric Coker 1 , Stephen Rauch 1 , Brenda Eskenazi 1 , John Balmes 1 , Katie Kogut 1 , Nina Holland 1 , Antonia M Calafat 2 , Kim Harley 1
Affiliation  

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.

中文翻译:

产前邻苯二甲酸盐,对羟基苯甲酸酯和苯酚的暴露以及儿童的过敏性和呼吸道后果:评估对化学混合物的暴露。

背景技术在个人护理产品和塑料中发现的化学物质已经与哮喘,过敏和肺功能相关,但是解决这些化学物质的混合物在现实生活中暴露的方法尚未应用于这些关联。方法我们在怀孕期间两次对母亲中11种邻苯二甲酸酯代谢物,4种对羟基苯甲酸酯和5种其他酚的尿液浓度进行了定量,并评估了7岁儿童的可能的哮喘,气敏性和肺功能。我们实施了贝叶斯轮廓回归(BPR),以通过暴露于这些化学物质的女性来聚类,并测试了聚类中结果测量的差异。我们使用贝叶斯核机器回归(BKMR)将生物标志物拟合为一个模型,作为联合自变量。结果BPR将女性分为七个组,以个人护理产品和塑料使用方式为特征,尽管各个组的结局无显着差异。BKMR表明,邻苯二甲酸一羧基异辛酯和2,4-二氯苯酚与可能的哮喘相关(根据生物标志物z评分的IQR预测的可能的哮喘概率(标准偏差)分别为0.08(0.09)和0.11(0.12))和肺功能较差(每IQR的预测概率分别为-0.07(0.05)和-0.07(0.06)),以及邻苯二甲酸单(3-羧丙基)酯和双酚A与空气过敏相关(每IQR的预测概率为0.13(0.09)和0.11( 0.08)。几种生物标志物显示出对其他协会的积极加性作用。
更新日期:2020-04-06
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