Krewski D, Withey J R, Ku L F, Andersen M E
Health Protection Branch, Health and Welfare Canada, Ottawa, Ontario.
Environ Health Perspect. 1994 Dec;102 Suppl 11(Suppl 11):37-50. doi: 10.1289/ehp.94102s1137.
The use of physiologically based pharmacokinetic (PBPK) models has been proposed as a means of estimating the dose of the reactive metabolites of carcinogenic xenobiotics reaching target tissues, thereby affording an opportunity to base estimates of potential cancer risk on tissue dose rather than external levels of exposure. In this article, we demonstrate how a PBPK model can be constructed by specifying mass-balance equations for each physiological compartment included in the model. In general, this leads to a system of nonlinear partial differential equations with which to characterize the compartment system. These equations then can be solved numerically to determine the concentration of metabolites in each compartment as functions of time. In the special case of a linear pharmacokinetic system, we present simple closed-form expressions for the area under the concentration-time curves (AUC) in individual tissue compartments. A general relationship between the AUC in blood and other tissue compartments is also established. These results are of use in identifying those parameters in the models that characterize the integrated tissue dose, and which should therefore be the primary focus of sensitivity analyses. Applications of PBPK modeling for purposes of tissue dosimetry are reviewed, including models developed for methylene chloride, ethylene oxide, 1,4-dioxane, 1-nitropyrene, as well as polychlorinated biphenyls, dioxins, and furans. Special considerations in PBPK modeling related to aging, topical absorption, pregnancy, and mixed exposures are discussed. The linkage between pharmacokinetic models used for tissue dosimetry and pharmacodynamic models for neoplastic transformation of stem cells in the target tissue is explored.
基于生理学的药代动力学(PBPK)模型的应用已被提议作为一种估算致癌性外源性物质的活性代谢产物到达靶组织的剂量的方法,从而有机会基于组织剂量而非外部暴露水平来估算潜在癌症风险。在本文中,我们展示了如何通过为模型中包含的每个生理隔室指定质量平衡方程来构建PBPK模型。一般来说,这会导致一个非线性偏微分方程组来描述隔室系统。然后可以对这些方程进行数值求解,以确定每个隔室中代谢产物的浓度随时间的变化函数。在线性药代动力学系统的特殊情况下,我们给出了各个组织隔室中浓度-时间曲线(AUC)下面积的简单封闭形式表达式。还建立了血液和其他组织隔室中AUC之间的一般关系。这些结果有助于识别模型中表征综合组织剂量的参数,因此应该是敏感性分析的主要重点。本文回顾了PBPK模型在组织剂量学方面的应用,包括为二氯甲烷、环氧乙烷、1,4-二氧六环、1-硝基芘以及多氯联苯、二噁英和呋喃开发的模型。讨论了PBPK建模中与衰老、局部吸收、怀孕和混合暴露相关的特殊考虑因素。探讨了用于组织剂量学的药代动力学模型与靶组织中干细胞肿瘤转化的药效学模型之间的联系。