Calabrese Edward J, Hanekamp Jaap C, Shamoun Dima Yazji
Department of Environmental Health Sciences, University of Massachusetts, Amherst, MA, USA.
Science Department, University College Roosevelt, Middelburg, The Netherlands.
Dose Response. 2018 Aug 9;16(3):1559325818789840. doi: 10.1177/1559325818789840. eCollection 2018 Jul-Sep.
This article strongly supports the Environmental Protection Agency proposal to make significant changes in their cancer risk assessment principles and practices by moving away from the use of the linear nonthreshold (LNT) dose-response as the default model. An alternate approach is proposed based on model uncertainty which integrates the most scientifically supportable features of the threshold, hormesis, and LNT models to identify the doses that optimize population-based responses (ie, maximize health benefits/minimize health harm). This novel approach for cancer risk assessment represents a significant improvement to the current LNT default method from scientific and public health perspectives.
本文强烈支持美国环境保护局的提议,即通过摒弃将线性无阈(LNT)剂量反应作为默认模型的做法,对其癌症风险评估原则和实践进行重大变革。基于模型不确定性提出了一种替代方法,该方法整合了阈值、 hormesis和LNT模型中最具科学依据的特征,以确定能优化基于人群反应的剂量(即最大化健康益处/最小化健康危害)。从科学和公共卫生角度来看,这种用于癌症风险评估的新方法是对当前LNT默认方法的重大改进。