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将下一代皮肤致敏风险评估框架应用于不一致的新方法信息。

Applying a next generation risk assessment framework for skin sensitisation to inconsistent new approach methodology information.

机构信息

Unilever, Colworth Science Park, Bedford, United Kingdom.

L'Oréal, Research & Innovation, Aulnay-sous-Bois, France.

出版信息

ALTEX. 2023;40(3):439-451. doi: 10.14573/altex.2211161. Epub 2023 Mar 14.

DOI:10.14573/altex.2211161
PMID:36919358
Abstract

Cosmetic products must be safe for their intended use. Regulatory bans on animal testing for new ingredients have resulted in a shift towards the use of new approach methodologies (NAMs) such as in silico predictions and in chemico / in vitro data. Defined approaches (DAs) have been developed to interpret combinations of NAMs to provide information on skin sensitization hazard and potency, three having been adopted within OECD Test Guideline 497. However, the challenge remains as to how DAs can be used to derive a quantitative point of departure for use in next generation risk assessment (NGRA). Here we provide an update to our previously published NGRA framework and present two hypothetical consumer risk assessment scenarios (rinse-off and leave-on) on one case study ingredient. Diethanolamine (DEA) was selected as the case study ingredient based on the existing NAM information demonstrating differences with respect to the outcomes from in silico predictions and in chemico / in vitro data. Seven DAs were applied, and these differences resulted in divergent DA outcomes and reduced confidence with respect to the hazard potential and potency predictions. Risk assessment conclusion for the rinse-off exposure led to an overall decision of safe for all applied DAs. Risk assessment conclusion for the higher leave-on exposure was safe when based on some DAs but unsafe based on others. The reasons for this were evaluated as well as the inherent uncertainty from the use of each NAM and DA in the risk assessment, enabling further refinement of our NGRA framework.

摘要

化妆品必须在其预期用途上是安全的。对新成分进行动物测试的监管禁令导致人们转而使用新方法学(NAMs),例如基于计算的预测和基于化学/体外的数据。已经开发了定义方法(DAs)来解释 NAMs 的组合,以提供关于皮肤致敏危害和效力的信息,其中有三种已被 OECD 测试指南 497 采用。然而,如何使用 DAs 来推导出下一代风险评估(NGRA)中使用的定量起点仍然是一个挑战。在这里,我们更新了之前发表的 NGRA 框架,并在一个案例研究成分上展示了两个假设的消费者风险评估场景(冲洗和保留)。选择二乙醇胺(DEA)作为案例研究成分,是基于现有的 NAM 信息,这些信息表明其与基于计算的预测和基于化学/体外数据的结果存在差异。应用了七种 DAs,这些差异导致了不同的 DA 结果,并降低了对危害潜力和效力预测的信心。冲洗暴露的风险评估结论导致所有应用的 DAs 都为安全。较高的保留暴露的风险评估结论在某些 DAs 的基础上是安全的,但在其他 DAs 的基础上则不安全。评估了导致这种情况的原因,以及风险评估中使用每个 NAM 和 DA 所带来的固有不确定性,从而进一步完善了我们的 NGRA 框架。

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