Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States.
Division of Risk and Decision Analysis, Center for Food Safety and Applied Nutrition, US Food and Drug Administration, College Park, MD, United States.
Toxicol Lett. 2022 Aug 15;367:67-75. doi: 10.1016/j.toxlet.2022.07.812. Epub 2022 Jul 25.
The goal of this study was to assess a cadmium (Cd) physiologically based pharmacokinetic (PBPK) model to evaluate Cd toxicological reference values (e.g. reference dose, tolerable intake, minimum risk level) adapted to the U.S. population. We reviewed and evaluated previously published Cd PBPK models and developed further adaptations to the 1978 Kjellström and Nordberg (KN) model. Specifically, we propose adaptations with updated U.S.-specific bodyweight, kidney weight and creatinine excretion models by using NHANES data as well as a stochastic PBPK model that provides credible intervals of uncertainty around mean populational estimates. We provide our model review and adaptations as well as present estimates from the newly adapted models using observed U.S. urinary Cd values as a function of gender and age and given dietary exposure as evaluated from NHANES/WWEIA and U.S. Total Diet Study data. Results show all newly adapted models provide acceptable mean estimates of urinary Cd in the U.S. The stochastic model provides credible intervals to further inform regulatory decision making. Validation of the estimated K-Cd concentration values was not possible as data for a representative population was not available. We developed a web-based tool implementing these models and other potential adaptations to facilitate PBPK model estimate comparisons.
本研究旨在评估镉(Cd)生理药代动力学(PBPK)模型,以评估适应美国人群的镉毒理学参考值(如参考剂量、耐受摄入量、最低风险水平)。我们回顾和评估了先前发表的 Cd PBPK 模型,并对 1978 年 Kjellström 和 Nordberg(KN)模型进行了进一步的改编。具体而言,我们通过使用 NHANES 数据提出了更新的、具有美国特异性的体重、肾重和肌酐排泄模型的改编,以及提供围绕群体估计值不确定性可信区间的随机 PBPK 模型。我们提供了模型审查和改编,并展示了使用 NHANES/WWEIA 和美国总膳食研究数据评估的膳食暴露作为函数的美国尿 Cd 值的新改编模型的估计值,作为函数的美国尿 Cd 值的新改编模型的估计值。结果表明,所有新改编的模型都能提供美国人群尿 Cd 的可接受的平均估计值。随机模型提供了可信区间,以进一步为监管决策提供信息。由于没有代表性人群的数据,因此无法对估计的 K-Cd 浓度值进行验证。我们开发了一个基于网络的工具,实现了这些模型和其他潜在的改编,以方便 PBPK 模型估计值的比较。