Integration of New Approach Methods for the Assessment of Data Poor Chemicals

毒物动力学 风险评估 计算机科学 毒理基因组学 风险分析(工程) 危害分析 危害 风险管理 数据挖掘 可靠性工程 生物信息学 工程类 生物 毒物动力学 医学 业务 计算机安全 财务 基因表达 生态学 药代动力学 基因 生物化学
作者
Katie Paul Friedman,Russell S. Thomas,John F. Wambaugh,Joshua Harrill,Richard Judson,Timothy J. Shafer,Antony Williams,Jia-Ying Joey Lee,Lit‐Hsin Loo,Matthew Gagné,Alexandra S. Long,Tara S. Barton‐Maclaren,Maurice Whelan,Mounir Bouhifd,M.M.M. Rasenberg,Ulla Simanainen,Tomasz Sobański
出处
期刊:Toxicological Sciences [Oxford University Press]
被引量:5
标识
DOI:10.1093/toxsci/kfaf019
摘要

Use of new approach methods (NAMs), including high-throughput, in vitro bioactivity data, in setting a point-of-departure (POD) will accelerate the pace of human health hazard assessments. Combining hazard and exposure predictions into a bioactivity: Exposure ratio (BER) for use in risk-based prioritization and utilizing NAM-based bioactivity flags to indicate potential hazards of interest for further prediction or mechanism-based screening together comprise a prospective approach for management of substances with limited traditional toxicity testing data. In this work we demonstrate a NAM-based assessment case study conducted via the Accelerating the Pace of Chemical Risk Assessment (APCRA) initiative, a consortium of international research and regulatory scientists. The primary objective was to develop a reusable and adaptable approach for addressing chemicals with limited traditional toxicity data using a NAM-based POD, BER, and bioactivity-based flags for indication of putative endocrine, developmental, neurological, and immunosuppressive effects via data generation and interpretation for 200 substances. Multiple data streams, including in silico and in vitro NAMs, were used. High-throughput transcriptomics and phenotypic profiling data, as well as targeted biochemical and cell-based assays, were combined with generic high-throughput toxicokinetic models parameterized with chemical-specific data to estimate dose for comparison to exposure predictions. This case study further enables regulatory scientists from different international purviews to utilize efficient approaches for prospective chemical management, addressing hazard and risk-based data needs, while reducing the need for animal studies. This work demonstrates the feasibility of using a battery of toxicodynamic and toxicokinetic NAMs to provide a NAM-based POD for screening-level assessment.

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