Non-persistent endocrine disrupting chemical mixtures and uterine leiomyomata in the study of environment, lifestyle and fibroids (SELF)

IF 8.1 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Victoria Fruh , Amelia K. Wesselink , Samantha Schildroth , Traci N. Bethea , Ruth J. Geller , Antonia M. Calafat , Brent A. Coull , Ganesa Wegienka , Quaker E. Harmon , Donna D. Baird , Lauren A. Wise , Birgit Claus Henn
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Abstract

Background

Results of studies investigating associations between individual endocrine-disrupting chemicals (EDCs) and incidence of uterine leiomyomata (UL), a hormone-dependent gynecological condition, have been inconsistent. However, few studies have evaluated simultaneous exposure to a mixture of EDCs with UL incidence.

Methods

We conducted a case-cohort analysis (n = 708) of data from the Study of the Environment, Lifestyle and Fibroids (SELF), a prospective cohort study. Participants were aged 23–35 years at enrollment, had an intact uterus, and identified as Black or African American. We measured biomarker concentrations of 21 non-persistent EDCs, including phthalates, phenols, parabens, and triclocarban, in urine collected at baseline, 20-month, and 40-month clinic visits. We ascertained UL incidence and characteristics using ultrasounds at baseline and approximately every 20 months through 60 months. We used probit Bayesian Kernel Machine Regression (BKMR-P) to evaluate joint associations between EDC mixtures with cumulative UL incidence. We estimated the mean difference in the probit of UL incidence over the study period, adjusting for baseline age, education, years since last birth, parity, smoking status and body mass index. We converted probit estimates to odds ratios for ease of interpretation.

Results

We observed that urinary concentrations of the overall EDC mixture were inversely associated with UL incidence in the overall mixtures model, with the strongest inverse associations at the 70th percentile of all biomarkers compared with their 50th percentile (odds ratio = 0.59; 95% confidence interval: 0.36, 0.96). Strongest contributors to the joint association for the mixture were bisphenol S (BPS), ethyl paraben (EPB), bisphenol F (BPF) and mono (2-ethyl-5-carboxypentyl) phthalate (MECPP), which each demonstrated inverse associations except for MECPP. There was suggestive evidence of an interaction between MECPP and EPB.

Conclusion

In this prospective ultrasound study, we observed evidence of an inverse association between the overall mixture of urinary biomarker concentrations of non-persistent EDCs with UL incidence.

Abstract Image

环境、生活方式和子宫肌瘤(SELF)研究中的非持久性内分泌干扰化学混合物和子宫肌瘤
背景对单个干扰内分泌的化学品(EDCs)与子宫肌瘤(UL)(一种激素依赖性妇科疾病)发病率之间关系的研究结果并不一致。我们对环境、生活方式和子宫肌瘤研究(SELF)的数据进行了病例队列分析(n = 708),这是一项前瞻性队列研究。参加者的年龄在 23-35 岁之间,子宫完整,被认定为黑人或非裔美国人。我们测量了基线、20 个月和 40 个月门诊时收集的尿液中 21 种非持久性 EDC(包括邻苯二甲酸盐、苯酚、对羟基苯甲酸酯和三氯卡班)的生物标记物浓度。我们在基线期和大约每 20 个月至 60 个月期间通过超声波检查确定了 UL 的发病率和特征。我们使用 probit Bayesian Kernel Machine Regression (BKMR-P) 来评估 EDC 混合物与累积 UL 发病率之间的联合关联。我们估算了研究期间 UL 发病率 probit 的平均差异,并对基线年龄、教育程度、最后一次生育后的年数、胎次、吸烟状况和体重指数进行了调整。结果我们观察到,在总体混合物模型中,总体 EDC 混合物的尿液浓度与 UL 发生率成反比,所有生物标志物的第 70 个百分位数与第 50 个百分位数相比,反比关系最强(几率比 = 0.59;95% 置信区间:0.36, 0.96)。双酚 S (BPS)、对羟基苯甲酸乙酯 (EPB)、双酚 F (BPF) 和邻苯二甲酸单(2-乙基-5-羧基戊基)酯 (MECPP)对混合物的联合关联性贡献最大,除 MECPP 外,它们均显示出反向关联性。结论在这项前瞻性超声波研究中,我们观察到非持久性 EDCs 尿液生物标志物总体混合物浓度与 UL 发病率呈反比关系的证据。
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来源期刊
Chemosphere
Chemosphere 环境科学-环境科学
CiteScore
15.80
自引率
8.00%
发文量
4975
审稿时长
3.4 months
期刊介绍: Chemosphere, being an international multidisciplinary journal, is dedicated to publishing original communications and review articles on chemicals in the environment. The scope covers a wide range of topics, including the identification, quantification, behavior, fate, toxicology, treatment, and remediation of chemicals in the bio-, hydro-, litho-, and atmosphere, ensuring the broad dissemination of research in this field.
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