U.S. Environmental Protection Agency, Office of Pesticide Programs, Durham, NC, USA.
Independent Consultant, Mystic, CT, USA.
Regul Toxicol Pharmacol. 2021 Dec;127:105070. doi: 10.1016/j.yrtph.2021.105070. Epub 2021 Oct 28.
Top dose selection for repeated dose animal studies has generally focused on identification of apical endpoints, use of the limit dose, or determination of a maximum tolerated dose (MTD). The intent is to optimize the ability of toxicity tests performed in a small number of animals to detect effects for hazard identification. An alternative approach, the kinetically derived maximum dose (KMD), has been proposed as a mechanism to integrate toxicokinetic (TK) data into the dose selection process. The approach refers to the dose above which the systemic exposures depart from being proportional to external doses. This non-linear external-internal dose relationship arises from saturation or limitation of TK process(es), such as absorption or metabolism. The importance of TK information is widely acknowledged when assessing human health risks arising from exposures to environmental chemicals, as TK determines the amount of chemical at potential sites of toxicological responses. However, there have been differing opinions and interpretations within the scientific and regulatory communities related to the validity and application of the KMD concept. A multi-stakeholder working group, led by the Health and Environmental Sciences Institute (HESI), was formed to provide an opportunity for impacted stakeholders to address commonly raised scientific and technical issues related to this topic and, more specifically, a weight of evidence approach is recommended to inform design and dose selection for repeated dose animal studies. Commonly raised challenges related to the use of TK data for dose selection are discussed, recommendations are provided, and illustrative case examples are provided to address these challenges or refute misconceptions.
在重复剂量动物研究中,选择最大剂量通常侧重于确定顶端终点、使用极限剂量或确定最大耐受剂量 (MTD)。目的是优化在少数动物中进行的毒性测试识别危害的能力。另一种方法是动力学推导的最大剂量 (KMD),它被提议作为将毒代动力学 (TK) 数据纳入剂量选择过程的机制。该方法是指系统暴露与外剂量不成比例的剂量。这种非线性的外-内剂量关系是由 TK 过程(如吸收或代谢)的饱和或限制引起的。在评估因接触环境化学物质而对人类健康造成的风险时,TK 信息非常重要,因为 TK 决定了潜在毒理学反应部位的化学物质的量。然而,科学界和监管界在 KMD 概念的有效性和应用方面存在不同意见和解释。由健康与环境科学研究所 (HESI) 领导的一个多利益相关者工作组成立,为受影响的利益相关者提供了一个机会,以解决与这一主题相关的普遍存在的科学和技术问题,更具体地说,建议采用证据权重方法为重复剂量动物研究的设计和剂量选择提供信息。讨论了在剂量选择中使用 TK 数据时常见的挑战,提供了建议,并提供了说明性案例示例来解决这些挑战或反驳误解。