Toxicology Division, Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
Expert Opin Drug Metab Toxicol. 2021 Aug;17(8):1007-1017. doi: 10.1080/17425255.2021.1885647. Epub 2021 Feb 14.
The process of chemical risk assessment traditionally relies on animal experiments and associated default uncertainty factors to account for interspecies and interindividual differences. To work toward a more precise and personalized risk assessment, these uncertainty factors should be refined and replaced by chemical-specific adjustment factors (CSAFs).
This concise review discusses alternative (/) approaches that can be used to assess interspecies and interindividual differences in toxicodynamics, ranging from targeted to more integrated approaches. Although data are available on interspecies differences, the increasing use of human-induced pluripotent stem cell (hiPSC)-derived neurons may provide opportunities to also assess interindividual variability in neurotoxicity. More integrated approaches, like adverse outcome pathways (AOPs) can provide a more quantitative understanding of the toxicodynamics of a chemical.
To improve chemical risk assessment, refinement of uncertainty factors is crucial. and models can facilitate the development of CSAFs, but still these models cannot always capture the complexity of the situation, thereby potentially hampering regulatory acceptance. The combined use of more integrated approaches, like AOPs and physiologically based kinetic models, can aid in structuring data and increasing suitability of alternative approaches for regulatory purposes.
化学风险评估传统上依赖于动物实验和相关的默认不确定性因素来解释种间和个体间的差异。为了实现更精确和个性化的风险评估,这些不确定性因素应该被细化,并被化学特异性调整因子(CSAFs)所取代。
本文简要回顾了可用于评估毒代动力学中种间和个体间差异的替代方法,范围从靶向方法到更综合的方法。尽管有关于种间差异的数据,但越来越多的人使用人诱导多能干细胞(hiPSC)衍生的神经元,这可能为评估神经毒性的个体间变异性提供了机会。更综合的方法,如不良结局途径(AOP),可以更定量地理解化学的毒代动力学。
为了改进化学风险评估,细化不确定性因素至关重要。数学模型和计算模型可以促进 CSAFs 的发展,但这些模型仍然不能总是捕捉到实际情况的复杂性,从而可能阻碍监管部门的接受。更综合的方法的联合使用,如 AOP 和基于生理学的动力学模型,可以帮助构建数据,并增加替代方法在监管目的下的适用性。