Associations of per- and polyfluoroalkyl substances with uterine leiomyomata incidence and growth: a prospective ultrasound study.

IF 4.1 3区 医学 Q2 ENVIRONMENTAL SCIENCES Journal of Exposure Science and Environmental Epidemiology Pub Date : 2024-06-24 DOI:10.1038/s41370-024-00698-3
Lauren A Wise, Chad M Coleman, Samantha Schildroth, Ruth J Geller, Sharonda M Lovett, Birgit Claus Henn, Antonia M Calafat, Julianne Cook Botelho, Erica E Marsh, Nyia Noel, Ganesa R Wegienka, Traci N Bethea, Quaker E Harmon, Donna D Baird, Amelia K Wesselink
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Abstract

Background: Per- and polyfluoroalkyl substances (PFAS) are endocrine-disrupting chemicals used in commercial and consumer products.

Objective: We evaluated PFAS exposure in relation to incidence and growth of uterine leiomyomata (UL), hormone-dependent neoplasms that are associated with severe gynecologic morbidity.

Methods: We studied 1158 participants in the Study of Environment, Lifestyle, and Fibroids, a Detroit-based prospective cohort study of Black females aged 23-35 years at enrollment (2010-2012). At enrollment and four subsequent visits during 10 years of follow-up, participants attended in-person clinic visits, completed questionnaires, provided non-fasting blood samples, and underwent ultrasound for UL detection. We quantified 7 PFAS in baseline plasma samples using mass spectrometry. We used Cox regression and probit Bayesian kernel machine regression to estimate individual and joint effects of PFAS on UL incidence. We fit linear mixed models to estimate effects of individual PFAS on UL growth. We stratified by parity, an important route of PFAS elimination and determinant of UL.

Results: In individual PFAS analyses, we observed inverse associations for perfluorodecanoate (PFDA; ≥0.3 vs. <0.2 ng/ml: hazard ratio [HR] = 0.74; 95% confidence interval [CI]: 0.54-1.00) and perfluoroundecanoate (detected vs. non-detected: HR = 0.78; 95% CI: 0.61-1.01) and a weak positive association for perfluorohexane sulfonate (≥1 vs. <0.6 ng/ml: HR = 1.17; 95% CI: 0.85-1.61), while perfluorooctane sulfonate, perfluorooctanoate, perfluorononanoate (PFNA), and 2-N-methyl-perfluorooctane sulfonamido acetate (MeFOSAA) showed little association with UL incidence. The PFAS mixture was inversely associated with UL incidence, a finding driven by MeFOSAA and PFDA; however, PFNA was positively associated with UL incidence. The inverse association for PFDA and positive association for PFNA were stronger among nulliparous participants. Most PFAS showed slight inverse associations with UL growth.

Impact statement: In this prospective ultrasound study of 1158 Black females aged 23-35 years at enrollment, we conducted a mixtures analysis to account for co-pollutant confounding and interaction. MeFOSAA and PFDA concentrations were inversely associated with UL incidence, while PFNA concentrations were positively associated with UL incidence. Concentrations of most PFAS were associated with decreased UL growth. This study contributes data to the sparse literature on PFAS exposure and UL development.

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全氟和多氟烷基物质与子宫肌瘤发病率和生长的关系:一项前瞻性超声波研究。
背景:全氟烷基和多氟烷基物质(PFAS全氟和多氟烷基物质(PFAS)是一种干扰内分泌的化学物质,被广泛应用于商业和消费品中:我们评估了 PFAS 暴露与子宫白膜瘤(UL)发病率和生长的关系,子宫白膜瘤是与严重妇科疾病相关的激素依赖性肿瘤:我们对环境、生活方式和子宫肌瘤研究中的 1158 名参与者进行了研究,该研究是一项基于底特律的前瞻性队列研究,研究对象为注册时(2010-2012 年)年龄在 23-35 岁之间的黑人女性。在入组和随后 10 年的四次随访中,参与者亲自参加了门诊,填写了调查问卷,提供了非空腹血液样本,并接受了超声波 UL 检测。我们使用质谱法对基线血浆样本中的 7 种 PFAS 进行了量化。我们使用 Cox 回归和 probit Bayesian 核机器回归来估计 PFAS 对 UL 发生率的个体和联合影响。我们拟合了线性混合模型来估计单个 PFAS 对 UL 增长的影响。我们根据胎次进行了分层,胎次是消除 PFAS 的重要途径,也是 UL 的决定因素:在这项对 1158 名年龄在 23-35 岁的黑人女性进行的前瞻性超声波研究中,我们进行了混合物分析,以考虑共污染物的混杂和相互作用。MeFOSAA和PFDA浓度与UL发生率成反比,而PFNA浓度与UL发生率成正比。大多数全氟辛烷磺酸的浓度与 UL 的生长下降有关。这项研究为有关 PFAS 暴露和 UL 发育的稀缺文献提供了数据。
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来源期刊
CiteScore
8.90
自引率
6.70%
发文量
93
审稿时长
3 months
期刊介绍: Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines. JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.
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