Dennison James E, Andersen Melvin E, Clewell Harvey J, Yang Raymond S H
Quantitative and Computational Toxicology Group, Center for Environmental Toxicology & Technology, Department of Environmental and Radiological Health Sciences, Colorado State University, Ft Collins, Colorado 80523-1860, USA.
Environ Sci Technol. 2004 Nov 1;38(21):5674-81. doi: 10.1021/es035201s.
Physiologically based pharmacokinetic (PBPK) models have often been used to describe the absorption, distribution, metabolism, and excretion of chemicals in animals but have been limited to single chemicals and simple mixtures due to the numerous parameters required in the models. To overcome the barrier to modeling more complex mixtures, we used a chemical lumping approach, used in the past in chemical engineering but not in pharmacokinetic modeling, in a rat PBPK model for gasoline hydrocarbons. Our previous gasoline model consisted of five individual components (benzene, toluene, ethylbenzene, xylene, and hexane) and a lumped chemical that included all remaining components of whole gasoline. Despite being comprised of hundreds of components, the lumped component could be described using a single set of chemical parameters that depended on the blend of gasoline. In the present study, we extend this approach to evaporative fractions of gasoline. The PBPK model described the pharmacokinetics of all of the volatility-weighted fractions of gasoline when differences in partitioning and metabolism between fractions were taken into account. Adjusting the ventilation rate parameter to account for respiratory depression at high exposures also allowed a much improved description of the data. At high exposure levels, gasoline components competitively inhibit each other's metabolism, and the model successfully accounted for binary interactions of this type, including between the lumped component and the five other chemicals. The model serves as a first example of how the engineering concept of chemical lumping can be used in pharmacokinetics.
基于生理的药代动力学(PBPK)模型常被用于描述化学物质在动物体内的吸收、分布、代谢和排泄,但由于模型需要众多参数,该模型一直局限于单一化学物质和简单混合物。为克服模拟更复杂混合物的障碍,我们在大鼠汽油烃PBPK模型中采用了一种化学集总方法,这种方法过去用于化学工程领域,但未用于药代动力学建模。我们之前的汽油模型由五种单独成分(苯、甲苯、乙苯、二甲苯和己烷)以及一种集总化学物质组成,该集总化学物质包含了整个汽油的所有其余成分。尽管由数百种成分组成,但该集总成分可以用一组取决于汽油混合物的化学参数来描述。在本研究中,我们将这种方法扩展到汽油的蒸发馏分。当考虑到各馏分在分配和代谢方面的差异时,PBPK模型描述了汽油所有挥发性加权馏分的药代动力学。调整通气率参数以考虑高暴露时的呼吸抑制,也能更好地描述数据。在高暴露水平下,汽油成分相互竞争性抑制彼此的代谢,该模型成功解释了这类二元相互作用,包括集总成分与其他五种化学物质之间的相互作用。该模型是化学集总这一工程概念如何用于药代动力学的首个示例。