首页> 外文期刊>Toxicological sciences: An official journal of the Society of Toxicology >Development of a Combined In Vitro Physiologically Based Kinetic (PBK) and Monte Carlo Modelling Approach to Predict Interindividual Human Variation in Phenol-Induced Developmental Toxicity
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Development of a Combined In Vitro Physiologically Based Kinetic (PBK) and Monte Carlo Modelling Approach to Predict Interindividual Human Variation in Phenol-Induced Developmental Toxicity

机译:开发一种体外生理基因动力学(PBK)和蒙特卡罗建模方法,以预测酚类诱导的发育毒性的联系人体变异

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With our recently developed in vitro physiologically based kinetic (PBK) modelling approach, we could extrapolate in vitro toxicity data to human toxicity values applying PBK-based reverse dosimetry. Ideally information on kinetic differences among human individuals within a population should be considered. In the present study, we demonstrated a modelling approach that integrated in vitro toxicity data, PBK modelling and Monte Carlo simulations to obtain insight in interindividual human kinetic variation and derive chemical specific adjustment factors (CSAFs) for phenol-induced developmental toxicity. The present study revealed that UGT1A6 is the primary enzyme responsible for the glucuronidation of phenol in humans followed by UGT1A9. Monte Carlo simulations were performed taking into account interindividual variation in glucuronidation by these specific UGTs and in the oral absorption coefficient. Linking Monte Carlo simulations with PBK modelling, population variability in the maximum plasma concentration of phenol for the human population could be predicted. This approach provided a CSAF for interindividual variation of 2.0 which covers the 99th percentile of the population, which is lower than the default safety factor of 3.16 for interindividual human kinetic differences. Dividing the dose-response curve data obtained with in vitro PBK-based reverse dosimetry, with the CSAF provided a dose-response curve that reflects the consequences of the interindividual variability in phenol kinetics for the developmental toxicity of phenol. The strength of the presented approach is that it provides insight in the effect of interindividual variation in kinetics for phenol-induced developmental toxicity, based on only in vitro and in silico testing.
机译:随着我们最近在体外的基于体外的动力学(PBK)建模方法中,我们可以将体外毒性数据推断为应用PBK的反向剂量测定的人类毒性值。理想情况下,应考虑有关人类内部人民中动力学差异的信息。在本研究中,我们证明了一种综合体外毒性数据,PBK建模和蒙特卡罗模拟的建模方法,以获得对酚类诱导的发育毒性的识别性人体动力学变化和衍生化学特异性调节因子(CSAF)的洞察力。本研究表明,UGT1A6是负责人类苯酚的葡萄糖醛的主要酶,其次是UGT1A9。考虑这些特定UGTS和口腔吸收系数的葡萄糖尿的细胞内变化进行蒙特卡罗模拟。将Monte Carlo模拟与PBK建模联系起来,可以预测人口最大血浆浓度的人口变异性。这种方法提供了一个CSAF,适用于2.0的Interidigardual变异,其占据了第99百分位数的群体,其低于3.16的默认安全因子,用于接口人体动力学差异。除以基于体外PBK的反向剂量法获得的剂量响应曲线数据,CSAF提供了一种剂量 - 响应曲线,其反映了苯酚动力学中的与苯酚发育毒性的接合动力学的后果。所提出的方法的强度是,基于仅在体外和硅测试中,它提供了对酚类诱导的发育毒性的动力学中的关联变异的影响。

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