Massarsky Andrey, Fung Ernest S, Evans Veneese Jb, Maier Andrew
Stantec, Irvine, CA, USA.
Stantec, Cincinnati, OH, USA.
Toxicol Ind Health. 2025 Jan;41(1):20-31. doi: 10.1177/07482337241289184. Epub 2024 Oct 6.
Occupational exposure limits (OELs) and occupational exposure bands (OEBs) provide quantitative benchmarks for worker health protection. If empirical toxicology data are insufficient to derive an OEL, an OEB is often assigned using partial toxicology data along with other relevant hazard information. There is no consensus methodology to assign OEBs for chemicals lacking any empirical toxicology data. Thus, this study developed an framework for OEB assignment of data poor compounds. It relies upon computational tools to evaluate standard toxicological end points and to assign reliability ratings, which are then used to assign Global Harmonization System (GHS) hazard categories. Subsequently, the hazard categories are entered into the National Institute for Occupational Safety and Health (NIOSH) occupational exposure banding tool to assign bands for individual end points as well as an overall OEB. As a proof-of-concept, five compounds with established OELs (i.e., "knowns") were evaluated. The knowns were assigned to overall OEBs C, D, or E, four of which were equal to or lower than the OEBs based on actual harmonized GHS categories as well as established OELs, indicating that the OEBs assigned using this framework are likely to be protective. Subsequently, five compounds with little to no experimental data and no established OELs from any U.S. agency or consensus OEL-setting organizations were evaluated (i.e., "unknowns"). The unknowns were assigned to overall OEBs D or E. It was concluded that the proposed framework can be used to assign protective OEBs to compounds with little to no toxicology testing data. As additional data become available, the compound may be de-risked, and a precautionary OEB (or an OEL) can be assigned. The proposed framework provides an example of a practical methodology to evaluate data poor compounds and shows that the output of this framework is expected to be protective of worker health.
职业接触限值(OELs)和职业接触带(OEBs)为保护工人健康提供了定量基准。如果经验毒理学数据不足以得出OEL,则通常会使用部分毒理学数据以及其他相关危害信息来分配OEB。对于缺乏任何经验毒理学数据的化学品,尚无统一的OEB分配方法。因此,本研究开发了一个用于数据匮乏化合物OEB分配的框架。它依靠计算工具来评估标准毒理学终点并分配可靠性等级,然后将其用于分配全球协调系统(GHS)危害类别。随后,将危害类别输入美国国家职业安全与健康研究所(NIOSH)的职业接触带划分工具,以分配各个终点的接触带以及总体OEB。作为概念验证,对五种具有既定OEL的化合物(即“已知化合物”)进行了评估。这些已知化合物被分配到总体OEB C、D或E,其中四种等于或低于基于实际协调的GHS类别以及既定OEL的OEB,这表明使用该框架分配的OEB可能具有保护作用。随后,对五种几乎没有实验数据且美国任何机构或共识性OEL设定组织均未制定OEL的化合物(即“未知化合物”)进行了评估。这些未知化合物被分配到总体OEB D或E。得出的结论是,所提出的框架可用于为几乎没有毒理学测试数据的化合物分配具有保护作用的OEB。随着更多数据的出现,该化合物的风险可能会降低,并且可以分配预防性OEB(或OEL)。所提出的框架提供了一种评估数据匮乏化合物的实用方法示例,并表明该框架的输出有望保护工人健康。