L'Oréal Research & Innovation, France.
L'Oréal Research & Innovation, France.
Reprod Toxicol. 2023 Sep;120:108454. doi: 10.1016/j.reprotox.2023.108454. Epub 2023 Aug 4.
Many New Approach Methodologies (NAMs) have been developed for the safety assessment of new ingredients. Research into reproductive toxicity and teratogenicity is a particularly high priority, especially given their mechanistic complexity. Forty-six non-teratogenic and 39 teratogenic chemicals were screened for teratogenic potential using the in silico DART model from the OECD QSAR Toolbox; the devTox quickPredict™ (devTox assay) test and the Zebrafish Embryotoxicity Test (ZET). The sensitivity and specificity were 94.7% and 84.1%, respectively, for the DART tree (83 chemicals), 86.1% and 35.6% for the devTox (81 chemicals) and 77.8% and 76.7% for the ZET (57 chemicals). Fifty-three chemicals were tested in all three assays and when results were combined and based on a "2 out of 3 rule", the sensitivity and specificity were 96.0% and 71.4%, respectively. The specificity of the devTox assay for a sub-set of 43 chemicals was increased from 26.1% to 82.6% by incorporating human plasma concentrations into the assay interpretation. When all 85 chemicals were assessed in a decision tree approach, there was an excellent predictivity and assay robustness of 90%. In conclusion, all three models exhibited a good sensitivity and specificity, especially when outcomes from all three were combined or used in "2 out of 3" or a tiered decision tree approach. The latter is an interesting predictive approach for evaluating the teratogenic potential of new chemicals. Future investigations will extend the number of chemicals tested, as well as explore ways to refine the results and obtain a robust Integrated Testing Strategy to evaluate teratogenic potential.
许多新方法 (NAM) 已被开发用于新成分的安全性评估。生殖毒性和致畸性的研究是一个特别高的优先级,特别是考虑到它们的机制复杂性。使用 OECD QSAR 工具包中的计算机 DART 模型、devTox quickPredict™(devTox 测定)测试和斑马鱼胚胎毒性测试(ZET)对 46 种非致畸性和 39 种致畸性化学物质进行了致畸潜力筛选。DART 树(83 种化学物质)的灵敏度和特异性分别为 94.7%和 84.1%,devTox(81 种化学物质)分别为 86.1%和 35.6%,ZET(57 种化学物质)分别为 77.8%和 76.7%。在所有三种测定中,53 种化学物质都进行了测试,当结果合并并基于“2 取 3 规则”时,灵敏度和特异性分别为 96.0%和 71.4%。通过将人体血浆浓度纳入测定解释,将 devTox 测定对 43 种化学物质的子集的特异性从 26.1%提高到 82.6%。当所有 85 种化学物质都以决策树方法进行评估时,其预测性和测定稳健性极好,达到 90%。总之,所有三种模型都表现出良好的灵敏度和特异性,特别是当所有三种模型的结果组合使用或用于“2 取 3”或分层决策树方法时。后者是评估新化学物质致畸潜力的一种有趣的预测方法。未来的研究将扩展测试的化学物质数量,并探索方法来细化结果并获得稳健的综合测试策略来评估致畸潜力。