研究基准剂量和药代动力学模型在非癌症风险评估中的潜在影响。

H J Clewell, P R Gentry, J M Gearhart
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引用次数: 28

摘要

相对而言,在计算非癌症暴露指南时,很少有人关注将活性有毒化学物质的作用方式或剂量学知识纳入目标组织部位。一个例外是修订的参考浓度(RfC)过程中对吸入物质的递送剂量调整的关注。本文报道的研究试图继续遵循新的RfC指南的精神,使用基于生理的药代动力学(PBPK)模型结合机制和递送剂量信息,以及使用基准剂量(BMD)方法的定量剂量-反应信息,纳入非癌症风险评估范式。介绍了在非癌症风险评估中使用PBPK和BMD技术的两个例子:二氯甲烷和三氯乙烯。基于PBPK分析的这些化学物质的最小风险水平(MRLs)与基于传统方法的最小风险水平(MRLs)大致相似,但个别的MRLs比现有的不基于PBPK建模的MRLs高大约10倍到低10倍以上。只有两个MRLs是基于为BMD建模提供充分数据的关键研究,在这两个案例中,BMD模型无法提供可接受的数据的总体剂量-反应拟合,即使使用药代动力学剂量指标。对另外10种化学物质的回顾表明,毒理学文献中的数据报告往往不足以支持BMD模型。关于在非癌症风险评估中使用PBPK和BMD模型的三个一般观察结果被注意到。首先,完整的PBPK模型可能不需要支持更准确的风险评估;通常只需要一个简单的药代动力学描述,或对基本药代动力学原理的理解。其次,考虑药代动力学和作用方式是进行涉及动物到人类外推的非癌症风险评估的关键因素。第三,为了支持BMD建模在非癌症风险评估中的应用,毒理学文献中毒性结果的报告,在定量终点的情况下,应包括每个剂量组的均值和标准差,如相对器官重量或测试分数,在定性终点的情况下,应报告受影响的动物数量。
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Investigation of the potential impact of benchmark dose and pharmacokinetic modeling in noncancer risk assessment.

There has been relatively little attention given to incorporating knowledge of mode of action or of dosimetry of active toxic chemical to target tissue sites in the calculation of noncancer exposure guidelines. One exception is the focus in the revised reference concentration (RfC) process on delivered dose adjustments for inhaled materials. The studies reported here attempt to continue in the spirit of the new RfC guidelines by incorporating both mechanistic and delivered dose information using a physiologically based pharmacokinetic (PBPK) model, along with quantitative dose-response information using the benchmark dose (BMD) method, into the noncancer risk assessment paradigm. Two examples of the use of PBPK and BMD techniques in noncancer risk assessment are described: methylene chloride, and trichloroethylene. Minimal risk levels (MRLs) based on PBPK analysis of these chemicals were generally similar to those based on the traditional process, but individual MRLs ranged from roughly 10-fold higher to more than 10-fold lower than existing MRLs that were not based on PBPK modeling. Only two MRLs were based on critical studies that presented adequate data for BMD modeling, and in these two cases the BMD models were unable to provide an acceptable fit to the overall dose-response of the data, even using pharmacokinetic dose metrics. A review of 10 additional chemicals indicated that data reporting in the toxicological literature is often inadequate to support BMD modeling. Three general observations regarding the use of PBPK and BMD modeling in noncancer risk assessment were noted. First, a full PBPK model may not be necessary to support a more accurate risk assessment; often only a simple pharmacokinetic description, or an understanding of basic pharmacokinetic principles, is needed. Second, pharmacokinetic and mode of action considerations are a crucial factor in conducting noncancer risk assessments that involve animal-to-human extrapolation. Third, to support the application of BMD modeling in noncancer risk assessment, reporting of toxicity results in the toxicological literature should include both means and standard deviations for each dose group in the case of quantitative endpoints, such as relative organ weights or testing scores, and should report the number of animals affected in the case of qualitative endpoints.

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