National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, 27711.
Healthy Environments and Consumer Safety Branch, Health Canada, Government of Canada, Ottawa, Ontario, Canada, K1A0K9.
Toxicol Sci. 2020 Jan 1;173(1):202-225. doi: 10.1093/toxsci/kfz201.
Use of high-throughput, in vitro bioactivity data in setting a point-of-departure (POD) has the potential to accelerate the pace of human health safety evaluation by informing screening-level assessments. The primary objective of this work was to compare PODs based on high-throughput predictions of bioactivity, exposure predictions, and traditional hazard information for 448 chemicals. PODs derived from new approach methodologies (NAMs) were obtained for this comparison using the 50th (PODNAM, 50) and the 95th (PODNAM, 95) percentile credible interval estimates for the steady-state plasma concentration used in in vitro to in vivo extrapolation of administered equivalent doses. Of the 448 substances, 89% had a PODNAM, 95 that was less than the traditional POD (PODtraditional) value. For the 48 substances for which PODtraditional < PODNAM, 95, the PODNAM and PODtraditional were typically within a factor of 10 of each other, and there was an enrichment of chemical structural features associated with organophosphate and carbamate insecticides. When PODtraditional < PODNAM, 95, it did not appear to result from an enrichment of PODtraditional based on a particular study type (eg, developmental, reproductive, and chronic studies). Bioactivity:exposure ratios, useful for identification of substances with potential priority, demonstrated that high-throughput exposure predictions were greater than the PODNAM, 95 for 11 substances. When compared with threshold of toxicological concern (TTC) values, the PODNAM, 95 was greater than the corresponding TTC value 90% of the time. This work demonstrates the feasibility, and continuing challenges, of using in vitro bioactivity as a protective estimate of POD in screening-level assessments via a case study.
利用高通量、体外生物活性数据设定起始点 (POD) 有可能通过告知筛选水平评估来加速人类健康安全评估的步伐。这项工作的主要目的是比较基于高通量生物活性预测、暴露预测和传统危害信息的 448 种化学物质的 POD。为了进行比较,从新方法方法 (NAM) 获得了 POD,使用用于体外到体内给药等效剂量外推的稳态血浆浓度的第 50 (PODNAM, 50) 和第 95 (PODNAM, 95) 百分位可信区间估计值。在 448 种物质中,有 89%有 PODNAM, 95,小于传统 POD (PODtraditional) 值。对于 48 种 PODtraditional < PODNAM, 95 的物质,PODNAM 和 PODtraditional 通常彼此相差 10 倍左右,并且存在与有机磷和氨基甲酸酯杀虫剂相关的化学结构特征的富集。当 PODtraditional < PODNAM, 95 时,它似乎并不是由于 PODtraditional 基于特定研究类型(例如,发育、生殖和慢性研究)的富集所致。对于潜在优先物质具有识别作用的生物活性:暴露比,表明高通量暴露预测对于 11 种物质,高于 PODNAM, 95。与毒理学关注阈值 (TTC) 值相比,PODNAM, 95 大于相应 TTC 值的情况占 90%。这项工作通过案例研究证明了利用体外生物活性作为筛选水平评估中 POD 的保护估计值的可行性和持续挑战。