通过U-SENSTM推进皮肤敏感性强度分类:对经合组织TG497定义方法的贡献
Nathalie Alépée1, Fleur Tourneix1, Laurent Nardelli1
1L'Oréal, Research & Innovation, Aulnay-sous-Bois, France.
ALTEX
|March 10, 2026
概括
集成到定义方法 (DA) 中的U-SENSTM试验提供灵活,可靠的皮肤敏感化危害和功效预测. 这种新方法方法 (NAM) 方法的表现优于传统的动物试验,提高了安全性评估.
科学领域:
- 毒理学 毒理学 毒理学
- 皮肤病学 皮肤病学
- 计算生物学 计算生物学
背景情况:
- 经合组织指南497允许定义方法 (DA) 的灵活性,允许新方法方法 (NAM) 的替代.
- 在DA内部的综合测试策略 (ITS) 旨在预测皮肤敏感化危险和功效.
- 不良结果路径 (AOP) 框架指导特定关键事件 (KE) 的NAM选择.
研究的目的:
- 评估U-SENSTM试验 (树突细胞激活,KE3) 的整合到两个ITSDA中.
- 用计算建模来确定EC150值,将U-SENSTM数据转换为DA分数.
- 根据局部淋巴结测试 (LLNA) 和人类参考数据评估修改的ITS DA的性能.
主要方法:
- 计算建模以确定U-SENSTM CD86刺激指数数据的EC150值.
- 在两个现有的ITSDA中实施U-SENSTM,遵循经合组织指南497.
- 使用平衡的准确性来识别危险和正确的分类率来对强度进行分类的性能评估.
主要成果:
- 经过修改的ITS DA实现了79%的平衡精度 (与LLNA相比) 和73-74% (与人类数据相比) 的危险识别.
- 实力分类实现了67-68%的正确分类 (vs.LLNA) 和65-67% (vs.人类数据).
- 该LLNA的性能较低:与人类数据相比,其精度 (危害) 为58%和功效 (效力) 为60%.
结论:
- 将U-SENSTM纳入ITS DA增强了灵活性,而不会牺牲皮肤敏感化的预测准确性.
- 基于U-SENSTM的DA提供可靠的分类结果,优于传统的动物试验 (LLNA).
- 这些发现支持这些DA的实际应用,用于监管皮肤敏感性评估.
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