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Deviation from Additivity with Estrogenic Mixtures Containing 4-Nonylphenol and 4-tert-Octylphenol Detected in the E-SCREEN Assay

机译:E-SCREEN分析中检测到的含有4-壬基苯酚和4-叔辛基苯酚的雌激素混合物与添加剂的相背离

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An intriguing deviation from expected additivity is reported with mixtures containing 17β-estradiol, 17α-ethinylestradiol, genistein, bisphenol A, 4-nonylphenol, and 4-tert-octylphenol. The effect of these chemicals on the proliferation of estrogen-dependent MCF-7 human breast cancer cells (the E-SCREEN) was measured. Data variance-component analyses, carried out to optimize the assay for mixture studies, showed that between-experiment variability was the dominant source of data variation. Adoption of a data-normalization procedure reduced the impact of this variability and allowed the pooling of historical E-SCREEN data. Concentration-response relationships for all six chemicals were recorded and utilized to calculate predictions of their joint effects by employing the model of concentration addition. Surprisingly, the observed combination effects of the mixture fell short of the additivity expectations, indicating weak antagonism. Experimental or prediction errors were ruled out as possible explanations for this deviation, which suggested that it might be the result of interactions between mixture components. With the aim of identifying the responsible components, mixtures were designed by excluding one or more of the chemicals from the original six-component mixture, and the resulting combination effects were assessed. These permutation studies allowed usto concludethatthe presence of 4-nonylphenol and 4-fert-octylphenol is associated with the antagonisms observed with the six-component mixture and thus negatively affected the predictability of mixture effects. Future mixture studies utilizing the E-SCREEN with endocrine disrupters that also exhibit toxicity or growth-inhibitory effects will have to take account of the possibility that such interactions might compromise the predictability of estrogenic combination effects.
机译:含有17β-雌二醇,17α-炔雌醇,染料木黄酮,双酚A,4-壬基苯酚和4-叔辛基苯酚的混合物报告了与预期可加性的惊人偏差。测量了这些化学物质对雌激素依赖性MCF-7人乳腺癌细胞(E-SCREEN)增殖的影响。为优化混合物研究的分析而进行的数据方差分量分析表明,实验之间的差异是数据差异的主要来源。采用数据标准化程序可减少这种可变性的影响,并允许合并历史E-SCREEN数据。记录所有六种化学品的浓度-响应关系,并通过采用浓度添加模型将其用于计算其联合效应的预测。出人意料的是,观察到的混合物的组合效应未达到加和预期,表明拮抗作用弱。排除了实验误差或预测误差,可以解释这种偏差,这表明这可能是混合物组分之间相互作用的结果。为了确定负责任的成分,设计了混合物,方法是从原始的六成分混合物中排除一种或多种化学物质,并评估由此产生的组合效果。这些排列研究使我们得出结论:4-壬基苯酚和4-叔辛基苯酚的存在与六组分混合物所观察到的拮抗作用有关,因此对混合物效果的可预测性产生负面影响。未来使用E-SCREEN与内分泌干扰物的混合物研究也将显示出毒性或生长抑制作用,因此必须考虑这种相互作用可能会损害雌激素联合作用的可预测性的可能性。

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