Advancing understanding of human variability through toxicokinetic modeling, in vitro-in vivo extrapolation, and new approach methodologies.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Anna Kreutz, Xiaoqing Chang, Helena T Hogberg, Barbara A Wetmore
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Abstract

The merging of physiology and toxicokinetics, or pharmacokinetics, with computational modeling to characterize dosimetry has led to major advances for both the chemical and pharmaceutical research arenas. Driven by the mutual need to estimate internal exposures where in vivo data generation was simply not possible, the application of toxicokinetic modeling has grown exponentially in the past 30 years. In toxicology the need has been the derivation of quantitative estimates of toxicokinetic and toxicodynamic variability to evaluate the suitability of the tenfold uncertainty factor employed in risk assessment decision-making. Consideration of a host of physiologic, ontogenetic, genetic, and exposure factors are all required for comprehensive characterization. Fortunately, the underlying framework of physiologically based toxicokinetic models can accommodate these inputs, in addition to being amenable to capturing time-varying dynamics. Meanwhile, international interest in advancing new approach methodologies has fueled the generation of in vitro toxicity and toxicokinetic data that can be applied in in vitro-in vivo extrapolation approaches to provide human-specific risk-based information for historically data-poor chemicals. This review will provide a brief introduction to the structure and evolution of toxicokinetic and physiologically based toxicokinetic models as they advanced to incorporate variability and a wide range of complex exposure scenarios. This will be followed by a state of the science update describing current and emerging experimental and modeling strategies for population and life-stage variability, including the increasing application of in vitro-in vivo extrapolation with physiologically based toxicokinetic models in pharmaceutical and chemical safety research. The review will conclude with case study examples demonstrating novel applications of physiologically based toxicokinetic modeling and an update on its applications for regulatory decision-making. Physiologically based toxicokinetic modeling provides a sound framework for variability evaluation in chemical risk assessment.

通过毒物动力学建模、体外-体内外推法和新的方法,促进对人体变异性的了解。
生理学和毒物代谢动力学(或称药代动力学)与计算建模相结合来描述剂量学特征,为化学和制药研究领域带来了重大进展。在过去的 30 年里,毒代动力学建模的应用呈指数级增长。在毒理学中,需要对毒代动力学和毒效学的变异性进行定量估算,以评估风险评估决策中使用的十倍不确定系数是否合适。为了全面描述特征,需要考虑一系列生理、本体、遗传和暴露因素。幸运的是,以生理为基础的毒物动力学模型的基本框架可以容纳这些输入,此外还能捕捉时变动态。与此同时,国际社会对推进新方法的兴趣也促进了体外毒性和毒物动力学数据的产生,这些数据可用于体外-体内外推法,为历来缺乏数据的化学品提供特定于人类的基于风险的信息。本综述将简要介绍毒物动力学模型和基于生理学的毒物动力学模型的结构和演变,这些模型在发展过程中纳入了变异性和各种复杂的暴露情景。随后将介绍最新的科学状况,描述针对群体和生命阶段变异性的当前和新兴实验和建模策略,包括在制药和化学品安全研究中越来越多地应用体外-体内外推法和基于生理的毒物动力学模型。综述最后将以案例研究的形式展示基于生理学的毒物动力学模型的新应用,并介绍其在监管决策中的最新应用。基于生理学的毒物动力学模型为化学品风险评估中的变异性评价提供了一个合理的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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