Department of Experimental Medicine and Toxicology, Division of Investigative Science, Imperial College London, UK.
Basic Clin Pharmacol Toxicol. 2010 Mar;106(3):173-9. doi: 10.1111/j.1742-7843.2009.00505.x. Epub 2009 Dec 17.
Chemical carcinogenesis is a complex, multi-stage process and the relationship between dose and tumour formation is an important consideration in the risk assessment of chemicals. Extrapolation from empirical dose-response relationships obtained in experimental studies has been criticized, as it fails to take into account information on mode of action. Strategies for incorporating mode of action information into the risk assessment of chemical carcinogens are described, with a focus on hepatic cancer. Either toxicokinetic or toxicodynamic processes can be addressed. Whilst the former have been the focus of more attention to date, for example by using physiologically based modelling, there is increasing interest in the development of mode of action-based toxicodynamic models. These have the advantage that they do not require extreme assumptions, and may be amenable to paramaterization using human data. This is rarely if ever possible when using conventional dose-tumour response relationships. The approaches discussed are illustrated using chloroform as a case study. This compound is converted to a cytotoxic metabolite, phosgene, by CYP2E1 in liver and/or kidney. Cytotoxicity results in proliferative regeneration, with increased probability of tumour formation. Both physiologically based toxicokinetic and toxicodynamic models have been developed, and it is possible to use probabilistic approaches incorporating, for example, data on the distribution of hepatic CYP2E1 levels. Mode of action can provide an invaluable link between observable, experimental data, on both toxicokinetics and toxicodynamics, and chemical-specific risk assessment, based on physiological approaches.
化学致癌作用是一个复杂的多阶段过程,剂量与肿瘤形成之间的关系是化学物质风险评估中的一个重要考虑因素。从实验研究中获得的经验剂量-反应关系推断受到了批评,因为它没有考虑作用模式的信息。本文描述了将作用模式信息纳入化学致癌物风险评估的策略,重点是肝癌。可以解决毒代动力学或毒动学过程。虽然前者一直是更多关注的焦点,例如通过使用基于生理学的建模,但对基于作用模式的毒动学模型的开发越来越感兴趣。这些模型的优点是它们不需要极端的假设,并且可以使用人类数据进行参数化。使用传统的剂量-肿瘤反应关系几乎不可能实现这一点。本文使用氯仿作为案例研究来说明讨论的方法。该化合物在肝脏和/或肾脏中被 CYP2E1 转化为细胞毒性代谢物光气。细胞毒性导致增殖性再生,肿瘤形成的概率增加。已经开发了基于生理学的毒代动力学和毒动学模型,并且可以使用概率方法来结合例如肝 CYP2E1 水平分布的数据。作用模式可以在可观察的实验数据之间提供宝贵的联系,包括毒代动力学和毒动学,以及基于生理学方法的化学特异性风险评估。