Identification of profiles and determinants of maternal pregnancy urinary biomarkers of phthalates and replacements in the Illinois Kids Development Study.
Identification of profiles and determinants of maternal pregnancy urinary biomarkers of phthalates and replacements in the Illinois Kids Development Study.
复制标题
DOI：
10.1016/j.envint.2022.107150
复制
发表时间：
2022-04
影响因子：
11.8
通讯作者：
Strakovsky RS
中科院分区：
文献类型：
--
作者：
Pacyga DC;Haggerty DK;Nicol M;Henning M;Calafat AM;Braun JM;Schantz SL;Strakovsky RS
孕妇暴露于多种邻苯二甲酸盐及其替代品，这是与不利的孕产妇和儿童健康结果相关的内分泌干扰化学物质。确定怀孕期间与邻苯二甲酸盐/替代品接触相关的产妇特征是很重要的。我们评估了来自伊利诺伊州儿童发展研究（I-KIDS，入组2013-2018）的482名孕妇的13个母亲社会人口统计学和生活方式因素、入组年份和受孕季节作为邻苯二甲酸酯暴露生物标志物及其替代品的决定因素。我们对妊娠期间收集的5个晨尿池中的19种邻苯二甲酸盐/代谢物进行了量化。k均值聚类识别出具有不同生物标志物浓度模式的女性，主成分分析（PCA）识别出共同存在的生物标志物的主成分（PC）谱。我们使用多变量回归模型来评估预测因子与确定的k-means聚类和pc之间的关联。K-means聚类鉴定出两组女性：1)低邻苯二甲酸酯/二（2-乙基己基）对苯二甲酸酯（∑DEHTP）和2)高邻苯二甲酸酯/∑DEHTP生物标志物浓度。PCA鉴定出四种生物标记物负荷最重的pc：增塑剂邻苯二甲酸酯[二异壬基，二异癸基，二正辛基邻苯二甲酸酯]（PC1）、其他邻苯二甲酸酯[二苄基，二正丁基，二异丁基邻苯二甲酸酯]（PC2）、邻苯二甲酸酯替代品[∑DEHTP，二（异壬基）环己烷-1,2-二羧酸酯（∑DiNCH）] （PC3）和邻苯二甲酸一乙酯（PC4）。总体而言，年龄、婚姻状况、收入、胎次、孕前BMI、咖啡因摄入量、入组年份和受孕季节与k-means聚类隶属度和至少一个PC独立相关。此外，种族/民族、教育、就业、怀孕意向、吸烟状况、饮酒和饮食与至少一种PC相关。例如，在春季、夏季和/或秋季怀孕的女性，邻苯二甲酸酯/∑DEHTP集群成员数较高的几率较低，邻苯二甲酸酯增塑剂、邻苯二甲酸酯替代品和MEP PC得分较低。受孕季节、入组年份和一些社会人口统计学/生活方式因素可预测邻苯二甲酸酯/替代生物标志物谱。未来的研究应证实这些发现，并特别关注孕妇越来越多地接触到的替代品。
Pregnant women are exposed to multiple phthalates and their replacements, which are endocrine disrupting chemicals associated with adverse maternal and child health outcomes. Identifying maternal characteristics associated with phthalate/replacement exposure during pregnancy is important. We evaluated 13 maternal sociodemographic and lifestyle factors, enrollment year, and conception season as determinants of exposure biomarkers of phthalates and their replacements in 482 pregnant women from the Illinois Kids Development Study (I-KIDS, enrolled 2013–2018). We quantified 19 phthalate/replacement metabolites in pools of five first-morning urines collected across pregnancy. K-means clustering identified women with distinct patterns of biomarker concentrations and principal component analysis (PCA) identified principal component (PC) profiles of biomarkers that exist together. We used multivariable regression models to evaluate associations of predictors with identified k-means clusters and PCs. K-means clustering identified two clusters of women: 1) low phthalate/di(2-ethylhexyl) terephthalate (∑DEHTP) and 2) high phthalate/∑DEHTP biomarker concentrations. PCA identified four PCs with loadings heaviest for biomarkers of plasticizer phthalates [di-isononyl, di-isodecyl, di-n-octyl phthalates] (PC1), of other phthalates [dibenzyl, di-n-butyl, di-iso-butyl phthalates] (PC2), of phthalate replacements [∑DEHTP, di(isononyl) cyclohexane-1,2-dicarboxylate (∑DiNCH)] (PC3), and of monoethyl phthalate (PC4). Overall, age, marital status, income, parity, pre-pregnancy BMI, caffeine intake, enrollment year, and conception season were independently associated with k-means cluster membership and at least one PC. Additionally, race/ethnicity, education, employment, pregnancy intention, smoking status, alcohol intake, and diet were associated with at least one PC. For instance, women who conceived in the spring, summer, and/or fall months had lower odds of high phthalate/∑DEHTP cluster membership and had lower plasticizer phthalate, phthalate replacement, and MEP PC scores. Conception season, enrollment year, and several sociodemographic/lifestyle factors were predictive of phthalate/replacement biomarker profiles. Future studies should corroborate these findings, with a special focus on replacements to which pregnant women are becoming increasingly exposed.
登录
查看更多内容
影响因子：
11.8
作者：
Ferguson, Kelly K.;McElrath, Thomas F.;Ko, Yi-An;Mukherjee, Bhramar;Meeker, John D.
通讯作者：
Meeker, John D.
影响因子：
11.8
作者：
Cantonwine, David E.;Cordero, Jose F.;Rivera-Gonzalez, Luis O.;Del Toro, Liza V. Anzalota;Ferguson, Kelly K.;Mukherjee, Bhramar;Calafat, Antonia M.;Crespo, Noe;Jimenez-Velez, Braulio;Padilla, Ingrid Y.;Alshawabkeh, Akram N.;Meeker, John D.
通讯作者：
Meeker, John D.
影响因子：
4.6
作者：
Campioli E;Lee S;Lau M;Marques L;Papadopoulos V
通讯作者：
Papadopoulos V
DOI：
10.1186/s12940-018-0400-3
发表时间：
2018-06-20
期刊：
Environmental health : a global access science source
影响因子：
--
作者：
Boss J;Zhai J;Aung MT;Ferguson KK;Johns LE;McElrath TF;Meeker JD;Mukherjee B
通讯作者：
Mukherjee B
影响因子：
3.5
作者：
Engel, Anika;Buhrke, Thorsten;Lampen, Alfonso
通讯作者：
Lampen, Alfonso