Andersen M E, Krishnan K
Health Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711.
Environ Health Perspect. 1994 Jan;102 Suppl 1(Suppl 1):103-8. doi: 10.1289/ehp.94102s1103.
Physiologically based pharmacokinetic (PBPK) modeling involves mathematically describing the complex interplay of the critical physicochemical and biological determinants involved in the disposition of chemicals. In this approach, the body is divided into a number of biologically relevant tissue compartments, arranged in an anatomically accurate manner, and defined with appropriate physiological characteristics. The extrapolation of pharmacokinetic behavior of chemicals from high dose to low dose for various exposure routes and species is possible with this approach because these models are developed by integrating quantitative information on the critical determinants of chemical disposition under a biological modeling framework. The principal application of PBPK models is in the prediction of tissue dosimetry of toxic moiety (e.g., parent chemical, reactive metabolite, macromolecular adduct) of a chemical. Such an application has been demonstrated with dichloromethane, a liver and lung carcinogen in the B6C3F1 mouse. The PBPK model-based risk assessment approach estimated a cancer risk to people of 3.7 x 10(-8) for a lifetime inhalation exposure of 1 micrograms/m3, which is lower by more than two orders of magnitude than that calculated by the U.S. Environmental Protection Agency using the linearized multistage model (for low-dose extrapolation) and body surface correction factor (for interspecies scaling). The capability of predicting the target tissue exposure to toxic moiety in people with PBPK models should help reduce the uncertainty associated with the extrapolation procedures adopted in conventional dose-response assessment.
基于生理学的药代动力学(PBPK)建模涉及以数学方式描述化学物质处置过程中关键物理化学和生物学决定因素的复杂相互作用。在这种方法中,身体被划分为多个具有生物学相关性的组织隔室,以解剖学上准确的方式排列,并具有适当的生理特征进行定义。由于这些模型是通过在生物学建模框架下整合有关化学物质处置关键决定因素的定量信息而开发的,因此可以用这种方法将化学物质在各种暴露途径和物种下从高剂量到低剂量的药代动力学行为进行外推。PBPK模型的主要应用在于预测化学物质的有毒部分(例如母体化学物质、反应性代谢物、大分子加合物)的组织剂量学。二氯甲烷(B6C3F1小鼠中的肝脏和肺部致癌物)的这种应用已得到证实。基于PBPK模型的风险评估方法估计,对于1微克/立方米的终生吸入暴露,人类患癌风险为3.7×10⁻⁸,这比美国环境保护局使用线性化多阶段模型(用于低剂量外推)和体表校正因子(用于种间缩放)计算出的风险低两个多数量级。使用PBPK模型预测人体目标组织对有毒部分的暴露能力应有助于降低传统剂量反应评估中采用的外推程序相关的不确定性。