Suppr超能文献

扩展皮肤致敏阈值(DST)方法以纳入被归类为具有反应性的化学品。

Extension of the Dermal Sensitisation Threshold (DST) approach to incorporate chemicals classified as reactive.

作者信息

Safford Robert J, Api Anne Marie, Roberts David W, Lalko Jon F

机构信息

B-Safe Toxicology Consulting, 31 Hayway, Rushden, Northants NN10 6AG, United Kingdom.

Research Institute for Fragrance Materials, Inc., 50 Tice Boulevard, Woodcliff Lake, NJ 07677, United States.

出版信息

Regul Toxicol Pharmacol. 2015 Aug;72(3):694-701. doi: 10.1016/j.yrtph.2015.04.020. Epub 2015 Apr 29.

Abstract

The evaluation of chemicals for their skin sensitising potential is an essential step in ensuring the safety of ingredients in consumer products. Similar to the Threshold of Toxicological Concern, the Dermal Sensitisation Threshold (DST) has been demonstrated to provide effective risk assessments for skin sensitisation in cases where human exposure is low. The DST was originally developed based on a Local Lymph Node Assay (LLNA) dataset and applied to chemicals that were not considered to be directly reactive to skin proteins, and unlikely to initiate the first mechanistic steps leading to the induction of sensitisation. Here we have extended the DST concept to protein reactive chemicals. A probabilistic assessment of the original DST dataset was conducted and a threshold of 64 μg/cm(2) was derived. In our accompanying publication, a set of structural chemistry based rules was developed to proactively identify highly reactive and potentially highly potent materials which should be excluded from the DST approach. The DST and rule set were benchmarked against a test set of chemicals with LLNA/human data. It is concluded that by combining the reactive DST with knowledge of chemistry a threshold can be established below which there is no appreciable risk of sensitisation for protein-reactive chemicals.

摘要

评估化学品的皮肤致敏潜力是确保消费品成分安全的重要一步。与毒理学关注阈值类似,皮肤致敏阈值(DST)已被证明在人体暴露量较低的情况下能为皮肤致敏提供有效的风险评估。DST最初是基于局部淋巴结试验(LLNA)数据集开发的,应用于那些被认为不会直接与皮肤蛋白发生反应、不太可能引发导致致敏诱导的首个机制步骤的化学品。在此,我们将DST概念扩展至与蛋白发生反应的化学品。对原始DST数据集进行了概率评估,得出阈值为64μg/cm²。在我们的配套出版物中,制定了一套基于结构化学的规则,以主动识别那些应被排除在DST方法之外的高反应性和潜在高效力物质。DST和规则集以一组具有LLNA/人体数据的化学品测试集为基准进行了验证。得出的结论是,通过将反应性DST与化学知识相结合,可以确定一个阈值,低于该阈值时,与蛋白发生反应的化学品不存在明显的致敏风险。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验