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Non-animal methods to predict skin sensitization (I): the Cosmetics Europe database*

机译:预测皮肤敏感的非动物方法(i):化妆品欧洲数据库*

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摘要

Cosmetics Europe, the European Trade Association for the cosmetics and personal care industry, is conducting a multi-phase program to develop regulatory accepted, animal-free testing strategies enabling the cosmetics industry to conduct safety assessments. Based on a systematic evaluation of test methods for skin sensitization, five non-animal test methods (DPRA (Direct Peptide Reactivity Assay), KeratinoSens", h-CLAT (human cell line activation test), U-SENS", SENS-IS) were selected for inclusion in a comprehensive database of 128 substances. Existing data were compiled and completed with newly generated data, the latter amounting to one-third of all data. The database was complemented with human and local lymph node assay (LLNA) reference data, physicochemical properties and use categories, and thoroughly curated. Focused on the availability of human data, the substance selection resulted nevertheless resulted in a high diversity of chemistries in terms of physico-chemical property ranges and use categories. Predictivities of skin sensitization potential and potency, where applicable, were calculated for the LLNA as compared to human data and for the individual test methods compared to both human and LLNA reference data. In addition, various aspects of applicability of the test methods were analyzed. Due to its high level of cur-ation, comprehensiveness, and completeness, we propose our database as a point of reference for the evaluation and development of testing strategies, as done for example in the associated work of Kleinstreuer et al. We encourage the community to use it to meet the challenge of conducting skin sensitization safety assessment without generating new animal data.
机译:化妆品欧洲,欧洲贸易协会为化妆品和个人护理行业,正在开展多阶段计划,开发监管可接受的无动物检测策略,使化妆品行业能够进行安全评估。基于对皮肤致敏试验方法的系统评价,五种非动物试验方法(DPRA(直接肽反应性测定),角蛋白酶“,H-CLAT(人体细胞系激活测试),U-Sens”,Sens-is)被选中纳入128种物质的综合数据库中。使用新生成的数据编译并完成现有数据,后者占所有数据的三分之一。该数据库与人和局部淋巴结测定(LLNA)参考数据,物理化学性质和使用类别辅成,并彻底策划。专注于人体数据的可用性,因此物质选择导致了物理化学物质范围和使用类别的高度多样化化学。与人类数据相比,在LLNA和与人和LLNA参考数数据相比,将皮肤致敏潜力和效力的预测性用于LLNA和单独的测试方法计算。此外,分析了测试方法的适用性的各个方面。由于其高水平的Cur-Agion,全面性和完整性,我们将数据库提出为评估和开发测试策略的参考点,例如在Kleinstreuer等人的相关工作中所做的。我们鼓励社区使用它来满足在不产生新动物数据的情况下进行皮肤致敏安全评估的挑战。

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