National Center for Computational Toxicology.
National Exposure Research Laboratory, Office of Research and Development, U.S. EPA, Research Triangle Park, North Carolina 27711.
Toxicol Sci. 2019 Dec 1;172(2):235-251. doi: 10.1093/toxsci/kfz205.
High(er) throughput toxicokinetics (HTTK) encompasses in vitro measures of key determinants of chemical toxicokinetics and reverse dosimetry approaches for in vitro-in vivo extrapolation (IVIVE). With HTTK, the bioactivity identified by any in vitro assay can be converted to human equivalent doses and compared with chemical intake estimates. Biological variability in HTTK has been previously considered, but the relative impact of measurement uncertainty has not. Bayesian methods were developed to provide chemical-specific uncertainty estimates for 2 in vitro toxicokinetic parameters: unbound fraction in plasma (fup) and intrinsic hepatic clearance (Clint). New experimental measurements of fup and Clint are reported for 418 and 467 chemicals, respectively. These data raise the HTTK chemical coverage of the ToxCast Phase I and II libraries to 57%. Although the standard protocol for Clint was followed, a revised protocol for fup measured unbound chemical at 10%, 30%, and 100% of physiologic plasma protein concentrations, allowing estimation of protein binding affinity. This protocol reduced the occurrence of chemicals with fup too low to measure from 44% to 9.1%. Uncertainty in fup was also reduced, with the median coefficient of variation dropping from 0.4 to 0.1. Monte Carlo simulation was used to propagate both measurement uncertainty and biological variability into IVIVE. The uncertainty propagation techniques used here also allow incorporation of other sources of uncertainty such as in silico predictors of HTTK parameters. These methods have the potential to inform risk-based prioritization based on the relationship between in vitro bioactivities and exposures.
高通量毒代动力学(HTTK)涵盖了化学毒代动力学关键决定因素的体外测量和用于体外-体内外推(IVIVE)的反向剂量测定方法。使用 HTTK,可以将任何体外测定法确定的生物活性转化为人体等效剂量,并与化学摄入量估计值进行比较。之前已经考虑了 HTTK 中的生物学变异性,但尚未考虑测量不确定性的相对影响。贝叶斯方法被开发用于为 2 种体外毒代动力学参数提供化学特异性不确定性估计:血浆中非结合部分(fup)和内在肝清除率(Clint)。分别为 418 种和 467 种化学物质报告了新的 fup 和 Clint 实验测量值。这些数据将 ToxCast 第一阶段和第二阶段文库的 HTTK 化学覆盖率提高到 57%。尽管遵循了 Clint 的标准方案,但修订后的 fup 方案测量了 10%、30%和 100%生理血浆蛋白浓度下的非结合化学物质,从而可以估计蛋白结合亲和力。该方案将 fup 过低而无法测量的化学物质的发生率从 44%降低到 9.1%。fup 的不确定性也降低了,中位数变异系数从 0.4 降至 0.1。蒙特卡罗模拟用于将测量不确定性和生物学变异性传播到 IVIVE 中。此处使用的不确定性传播技术还允许纳入 HTTK 参数的其他来源的不确定性,例如计算预测。这些方法有可能根据体外生物活性与暴露之间的关系为基于风险的优先级排序提供信息。