ScitoVation, LLC, Research Triangle Park, North Carolina, 27709.
Centre for Toxicology, University of Surrey, Surrey, UK.
Toxicol Sci. 2019 Jun 1;169(2):365-379. doi: 10.1093/toxsci/kfz042.
An in vitro to in vivo (IVIVE) extrapolation based-physiologically based pharmacokinetic (PBPK) modeling approach was demonstrated to understand age-related differences in kinetics and how they potentially affect age-related differences in acute neurotoxic effects of pyrethroids. To describe the age-dependent changes in pyrethroid kinetics, it was critical to incorporate age-dependent changes in metabolism into the model. As such, in vitro metabolism data were collected for 3 selected pyrethroids, deltamethrin (DLM), cis-permethrin, and trans-permethrin, using liver microsomes and cytosol, and plasma prepared from immature and adult rats. Resulting metabolism parameters, maximum rate of metabolism (Vmax) and Michaelis-Menten constant (Km), were biologically scaled to respective in vivo parameters for use in the age-specific PBPK model. Then, age-dependent changes in target tissue exposure, i.e., brain Cmax, to a given pyrethroid were simulated across ages using the model. The PBPK model recapitulated in vivo time-course plasma and brain concentrations of the 3 pyrethroids in immature and adult rats following oral administration of both low and high doses of these compounds. A single model structure developed for DLM was able to describe the kinetics of the other 2 pyrethroids when used with compound- and age-specific metabolism parameters, suggesting that one generic model for pyrethroids as a group can be used for early age-sensitivity evaluation if appropriate metabolic parameters are used. This study demonstrated the validity of applying IVIVE-based PBPK modeling to development of age-specific PBPK models for pyrethroids in support of pyrethroid risk assessment of potentially sensitive early age populations in humans.
一种基于体外到体内(IVIVE)外推的生理相关药代动力学(PBPK)建模方法被证明可用于了解动力学方面的年龄相关性差异,以及这些差异如何潜在影响拟除虫菊酯类化合物的急性神经毒性作用的年龄相关性差异。为了描述拟除虫菊酯类化合物动力学的年龄依赖性变化,将代谢的年龄依赖性变化纳入模型至关重要。因此,使用来自未成年和成年大鼠的肝微粒体和胞质溶胶以及血浆,收集了 3 种选定的拟除虫菊酯(氯菊酯、顺式氯菊酯和反式氯菊酯)的体外代谢数据。将得到的代谢参数(最大代谢速率 Vmax 和米氏常数 Km)通过生物学方法转化为各自的体内参数,用于特定年龄的 PBPK 模型。然后,使用该模型模拟了在给定的年龄范围内,目标组织(即大脑)暴露的情况,即特定拟除虫菊酯的大脑 Cmax。该 PBPK 模型再现了 3 种拟除虫菊酯在未成年和成年大鼠口服低剂量和高剂量这些化合物后的体内血浆和大脑浓度的时间过程。一个为氯菊酯开发的单一模型结构,当使用化合物和年龄特异性代谢参数时,能够描述另外两种拟除虫菊酯的动力学,这表明如果使用适当的代谢参数,可以将一种通用的拟除虫菊酯类化合物模型用于早期年龄敏感性评估。这项研究证明了应用基于 IVIVE 的 PBPK 建模来开发特定年龄的 PBPK 模型的有效性,以支持对人类潜在敏感的早期年龄人群的拟除虫菊酯类化合物的风险评估。