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Towards a generic physiologically based kinetic model to predict in vivo uterotrophic responses in rats by reverse dosimetry of in vitro estrogenicity data

机译:建立基于生理学的通用动力学模型通过体外雌激素数据的反向剂量测定来预测大鼠体内的子宫营养反应

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摘要

Physiologically based kinetic (PBK) modelling-based reverse dosimetry is a promising tool for the prediction of in vivo developmental toxicity using in vitro concentration–response data. In the present study, the potential of this approach to predict the dose-dependent increase of uterus weight in rats upon exposure to estrogenic chemicals was assessed. In vitro concentration–response data of 17β-estradiol (E2) and bisphenol A (BPA) obtained in the MCF-7/BOS proliferation assay, the U2OS ER-CALUX assay and the yeast estrogen screen (YES) assay, were translated into in vivo dose–response data in rat, using a PBK model with a minimum number of in vitro and in silico determined parameter values. To evaluate the predictions made, benchmark dose (BMD) analysis was performed on the predicted dose–response data and the obtained BMDL10 values were compared with BMDL10 values derived from data on the effects of E2 and BPA in the uterotrophic assay reported in the literature. The results show that predicted dose–response data of E2 and BPA matched with the data from in vivo studies when predictions were made based on YES assay data. The YES assay-based predictions of the BMDL10 values differed 3.9-fold (E2) and 4.7- to 13.4-fold (BPA) from the BMDL10 values obtained from the in vivo data. The present study provides the proof-of-principle that PBK modelling-based reverse dosimetry of YES assay data using a minimum PBK model can predict dose-dependent in vivo uterus growth caused by estrogenic chemicals. In future studies, the approach should be extended to include other estrogens.Electronic supplementary materialThe online version of this article (10.1007/s00204-017-2140-5) contains supplementary material, which is available to authorized users.
机译:基于生理学的动力学(PBK)建模的反向剂量测定法是一种使用体外浓度-反应数据预测体内发育毒性的有前途的工具。在本研究中,评估了这种方法预测雌激素暴露后大鼠子宫重量的剂量依赖性增加的潜力。在MCF-7 / BOS增殖测定,U2OS ER-CALUX测定和酵母雌激素筛选(YES)测定中获得的17β-雌二醇(E2)和双酚A(BPA)的体外浓度-响应数据被翻译成使用PBK模型,使用最少数量的体外和计算机测定参数值的PBK模型,获得大鼠体内的剂量反应数据。为了评估所做的预测,对预测的剂量反应数据进行了基准剂量(BMD)分析,并将获得的BMDL10值与从文献报道的子宫营养试验中E2和BPA的数据得出的BMDL10值进行了比较。结果表明,当基于YES分析数据进行预测时,E2和BPA的预期剂量反应数据与体内研究的数据相匹配。与从体内数据获得的BMDL10值相比,BMDL10值的基于YES分析的预测相差3.9倍(E2)和4.7-13.4倍(BPA)。本研究提供了原理证明,即使用最小PBK模型的基于PBK模型的YES测定数据的反向剂量测定可以预测由雌激素化学物质引起的体内剂量依赖性子宫生长。电子补充材料本文的在线版本(10.1007 / s00204-017-2140-5)包含补充材料,授权用户可以使用。

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