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Issues in Using Human Variability Distributions to Estimate Low-Dose Risk

机译:使用人类变异性分布估计低剂量风险的问题

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Background The National Research Council (NRC) Committee on Improving Risk Analysis Approaches Used by the U.S. EPA (Environmental Protection Agency) recommended that low-dose risks be estimated in some situations using human variability distributions (HVDs). HVD modeling estimates log-normal distributions from data on pharmacokinetic and pharmacodynamic variables that affect individual sensitivities to the toxic response. These distributions are combined into an overall log-normal distribution for the threshold dose (dose below which there is no contribution to a toxic response) by assuming the variables act independently and multiplicatively. This distribution is centered at a point-of-departure dose that is usually estimated from animal data. The resulting log-normal distribution is used to quantify low-dose risk. Objective We examined the implications of various assumptions in HVD modeling for estimating low-dose risk. Methods The assumptions and data used in HVD modeling were subjected to rigorous scrutiny. Results We found that the assumption that the variables affecting human sensitivity vary log normally is not scientifically defensible. Other distributions that are equally consistent with the data provide very different estimates of low-dose risk. HVD modeling can also involve an assumption that a threshold dose defined by dichotomizing a continuous apical response has a log-normal distribution. This assumption is shown to be incompatible (except under highly specialized conditions) with assuming that the continuous apical response itself is log normal. However, the two assumptions can lead to very different estimates of low-dose risk. The assumption in HVD modeling that the threshold dose can be expressed as a function of a product of independent variables lacks phenomenological support. We provide an example that shows that this assumption is generally invalid. Conclusion In view of these problems, we recommend caution in the use of HVD modeling as a general approach to estimating low-dose risks from human exposures to toxic chemicals.
机译:背景技术国家研究委员会(NRC)委员会关于改善美国EPA(环境保护署)使用的风险分析方法的建议是,在某些情况下,应使用人类变异性分布(HVD)估算低剂量风险。 HVD建模从影响个体对毒性反应敏感性的药代动力学和药效学变量数据估计对数正态分布。通过假设变量独立且相乘地起作用,将这些分布组合为阈值剂量的总对数正态分布(低于此剂量,则对毒性反应无贡献)。这种分布集中在出发点剂量,该剂量通常是根据动物数据估算的。所得对数正态分布用于量化低剂量风险。目的我们研究了HVD建模中各种假设对估计低剂量风险的影响。方法对HVD建模中使用的假设和数据进行了严格的审查。结果我们发现,影响人类敏感性的变量通常以对数形式变化的假设在科学上是不合理的。与数据同样一致的其他分布对低剂量风险的估计也大不相同。 HVD建模还可以包含这样一个假设:通过将连续的心尖反应二分而定义的阈值剂量具有对数正态分布。假设连续的根尖反应本身是对数正态的,则表明该假设是不相容的(在高度专业化条件下除外)。但是,这两个假设可能导致对低剂量风险的不同估计。在HVD建模中,阈值剂量可以表示为独立变量乘积的函数的假设缺乏现象学上的支持。我们提供了一个示例,表明该假设通常是无效的。结论鉴于这些问题,我们建议谨慎使用HVD建模作为评估人体暴露于有毒化学物质引起的低剂量风险的通用方法。

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