Next generation risk assessment for occupational chemical safety – A real world example with sodium-2-hydroxyethane sulfonate

风险评估 背景(考古学) 广告 暴露评估 职业暴露 职业安全与健康 计算机科学 环境科学 风险分析(工程) 环境卫生 医学 药理学 药代动力学 病理 古生物学 生物 计算机安全
作者
Adam Wood,C. Breffa,Caroline Chaine,Richard Cubberley,Matthew Dent,Joachim Eichhorn,Susann Fayyaz,Fabian A. Grimm,Jade Houghton,Reiko Kiwamoto,Predrag Kukić,M. Lee,Sophie Malcomber,Suzanne M. Martin,Beate Nicol,Joe Reynolds,G C Riley,Sharon Scott,Colin Smith,Carl Westmoreland
出处
期刊:Toxicology [Elsevier BV]
卷期号:506: 153835-153835 被引量:8
标识
DOI:10.1016/j.tox.2024.153835
摘要

Next Generation Risk Assessment (NGRA) is an exposure-led approach to safety assessment that uses New Approach Methodologies (NAMs). Application of NGRA has been largely restricted to assessments of consumer use of cosmetics and is not currently implemented in occupational safety assessments, e.g. under EU REACH. By contrast, a large proportion of regulatory worker safety assessments are underpinned by toxicological studies using experimental animals. Consequently, occupational safety assessment represents an area that would benefit from increasing application of NGRA to safety decision making. Here, a workflow for conducting NGRA under an occupational safety context was developed, which is illustrated with a case study chemical; sodium 2-hydroxyethane sulphonate (sodium isethionate or SI). Exposures were estimated using a standard occupational exposure model following a comprehensive life cycle assessment of SI and considering factory-specific data. Outputs of this model were then used to estimate internal exposures using a Physiologically Based Kinetic (PBK) model, which was constructed with SI specific Absorption, Distribution, Metabolism and Excretion (ADME) data. PBK modelling indicated a worst-case plasma maximum concentration (Cmax) of 0.8 μM across the SI life cycle. SI bioactivity was assessed in a battery of NAMs relevant to systemic, reproductive, and developmental toxicity; a cell stress panel, high throughput transcriptomics in three cell lines (HepG2, HepaRG and MCF-7 cells), pharmacological profiling and specific assays relating to developmental toxicity (Reprotracker and devTOX quickPredict). Points of Departure (PoDs) for SI ranged from 104 to 5044 µM. Cmax values obtained from PBK modelling of occupational exposures to SI were compared with PoDs from the bioactivity assays to derive Bioactivity Exposure Ratios (BERs) which demonstrated the safety for workers exposed to SI under current levels of factory specific risk management. In summary, the tiered and iterative workflow developed here represents an opportunity for integrating non animal approaches for a large subset of substances for which systemic worker safety assessment is required. Such an approach could be followed to ensure that animal testing is only conducted as a "last resort" e.g. under EU REACH.
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