NSF Water & Environmental Technology (WET) Center, Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA 19122, USA.
NSF Water & Environmental Technology (WET) Center, Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA 19122, USA; Johnson & Johnson, Environmental Health, Safety and Sustainability, New Brunswick, NJ, 08901, USA.
Chemosphere. 2019 Jan;215:396-403. doi: 10.1016/j.chemosphere.2018.10.067. Epub 2018 Oct 11.
Exposure to mixtures of endocrine disrupting compounds (EDCs) has been hypothesized to produce potential synergistic or antagonistic effects that can cause undesired effects that are not reflected by the individual compounds. In this study, the estrogenic activities of 11 EDCs of global environmental concern were systematically investigated using the yeast estrogen screen (YES). The contribution of the individual chemical to the total endocrine activity of environmentally relevant mixtures was evaluated. Compared to 17β-estradiol (E2) as a standard, estrone (E1), estriol (E3), ethinyl estradiol (EE2), bisphenol-A (BPA), and genistein (GEN) showed estrogenic effects, while dibutyl phthalate (DBP), n-butyl benzyl phthalate (BBP), Bis(2-ethylhexyl) phthalate (DEHP), nonyl phenol (NP) and 4-tert-octyl phenol (OP) showed anti-estrogenic effects. The 11 EDCs mixture at a constant environmentally relevant ratio also showed estrogenic activity. The mixtures data were fit to concentration addition (CA), response addition (RA) and interaction (IR) models, respectively. The IR model was not statistically different from the observed value and better predicted results than the CA model for mixtures of all 11 compounds. For the mixtures with the 6 estrogenic compounds only, additive effects were observed, and the data were well predicted by the CA and IR models. Further, in the 11 EDCs mixture the presence of EE2 at an environmentally relevant concentration did not increase the estrogenic activity as compared to a 10 EDCs mixture without EE2.
环境内分泌干扰物(EDCs)混合物的暴露被假设会产生潜在的协同或拮抗作用,从而导致个体化合物无法反映的不良影响。在这项研究中,使用酵母雌激素筛选(YES)系统地研究了 11 种具有全球环境关注的 EDC 的雌激素活性。评估了个别化学物质对环境相关混合物总内分泌活性的贡献。与作为标准的 17β-雌二醇(E2)相比,雌酮(E1)、雌三醇(E3)、乙炔雌二醇(EE2)、双酚 A(BPA)和染料木黄酮(GEN)显示出雌激素作用,而邻苯二甲酸二丁酯(DBP)、正丁基苄基邻苯二甲酸酯(BBP)、邻苯二甲酸二(2-乙基己基)酯(DEHP)、壬基酚(NP)和 4-叔辛基苯酚(OP)则显示出抗雌激素作用。以恒定的环境相关比例存在的 11 种 EDC 混合物也表现出雌激素活性。将混合物数据拟合到浓度加和(CA)、反应加和(RA)和相互作用(IR)模型中,分别。IR 模型与观察值在统计学上没有差异,并且对于所有 11 种化合物的混合物,IR 模型比 CA 模型更好地预测了结果。对于仅含有 6 种雌激素化合物的混合物,观察到了加性效应,并且 CA 和 IR 模型都很好地预测了数据。此外,在 11 种 EDC 混合物中,EE2 以环境相关浓度存在并未像在不含 EE2 的 10 种 EDC 混合物中那样增加雌激素活性。