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强皮肤致敏物的危害识别。

Hazard identification of strong dermal sensitizers.

机构信息

Pharmaceutical Development, Bristol-Myers Squibb Co., New Brunswick, NJ 08903, USA.

出版信息

Toxicol Mech Methods. 2011 Feb;21(2):86-92. doi: 10.3109/15376516.2010.484622. Epub 2010 May 25.

DOI:10.3109/15376516.2010.484622
PMID:20500014
Abstract

Dermal reactions are the most frequently reported chemical health-related occupational hazard. Identifying dermal sensitizers is important for improving workplace safety. This paper takes a close look at the physico-chemical properties and results from the Local Lymph Node Assay (LLNA) to better understand and predict potent dermal sensitizers. The LLNA was used to identify 28 pharmaceutical agents or chemical intermediates as potent dermal sensitizers, EC3 < 1%. Certain parameters were examined to determine if there was any predictability to identify potent dermal sensitizers. These included a computer structure activity analysis using Derek for Windows, molecular weight (Mw), calculated log P, and the log-linear extrapolation approach for estimating the potency. With Derek for Windows, 13 compounds were identified as negative and 15 as positive for structural alerts, the most common being haloalkanes, and hydrazines. Additional mechanisms of reactivity were postulated for the remaining compounds. The examination of the Mw showed that all molecules had Mw < 550 Da. For 21 compounds, the interpolated vs extrapolated methods for determining the EC3 value were compared. For eight of the 21 compounds, the extrapolated EC3 was in the correct order of magnitude, eight were incorrect (five were too high and three were too low) and five could not be calculated. The use of a tiered approach including examination of the structural and physico-chemical properties and the LLNA to identify potent dermal sensitizers is integral in the selection of effective safe handling guidance to protect from sensitization hazards.

摘要

皮肤反应是最常见的与化学物质相关的职业健康危害。识别皮肤致敏剂对于改善工作场所安全非常重要。本文通过分析物理化学性质和局部淋巴结检测(LLNA)结果,深入研究了潜在的皮肤致敏剂,确定了 28 种药物或化学中间体作为潜在的皮肤致敏剂,其 EC3<1%。本文还检查了某些参数,以确定是否可以预测潜在的皮肤致敏剂。这些参数包括使用 Derek for Windows 进行计算机结构活性分析、分子量(Mw)、计算的 log P 以及用于估计效力的对数线性外推方法。通过 Derek for Windows,有 13 种化合物被确定为结构警示阴性,15 种为阳性,最常见的是卤代烷和肼。对其余化合物提出了其他反应机制的假设。对 Mw 的检查表明,所有分子的 Mw<550Da。对于 21 种化合物,比较了确定 EC3 值的内插法和外推法。在这 21 种化合物中,有 8 种化合物的外推 EC3 值在正确的数量级范围内,8 种化合物不正确(5 种过高,3 种过低),5 种化合物无法计算。使用分层方法,包括检查结构和物理化学性质以及 LLNA,以识别潜在的皮肤致敏剂,是选择有效安全处理指南以保护免受致敏危害的重要组成部分。

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Hazard identification of strong dermal sensitizers.强皮肤致敏物的危害识别。
Toxicol Mech Methods. 2011 Feb;21(2):86-92. doi: 10.3109/15376516.2010.484622. Epub 2010 May 25.
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Intracellular expression of cytokines and granzyme B in auricular lymph nodes draining skin exposed to irritants and sensitizers.暴露于刺激物和致敏剂的皮肤引流耳淋巴结中细胞因子和颗粒酶B的细胞内表达。
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