ImmunoSearch, Grasse, France.
L'Oréal Research and Innovation, Aulnay sous bois, France.
Toxicol In Vitro. 2021 Mar;71:105072. doi: 10.1016/j.tiv.2020.105072. Epub 2020 Dec 20.
Several alternative methods have been developed and regulatory adopted by OECD as in vitro alternatives to the Draize eye irritation assay either to detect chemicals not requiring classification (No Category) or inducing serious damage to the eye (Category 1) but none are sensitive enough to identify chemicals inducing reversible eye effects (category 2) which are categorised by default. Therefore, the discriminatory power of a genomic approach applied to the SkinEthic™ Human Corneal Epithelium (HCE) model was investigated to allow subcategorization capacity according to UN GHS classification. An algorithm based on gene expression modulation on a training (62) and a test (31 liquids) chemical set, tested neat and at 30%was evaluated in an assay called EyeIRR-IS. Its accuracy prediction to distinguish Cat1/Cat2 from No Cat was 95% with a specificity of 89% and a sensitivity of 98%. For subcategorization into the 3 GHS classes the accuracy reached 84% with 94% Cat1, 67% Cat2 and 89% No Cat correctly predicted. No Cat.1 chemicals were underestimated as negative with a majority of misclassified Cat2 over predicted as Cat 1. In conclusion, the performance of the assay suggests its added value in a defined approach for liquids to replace the Draize assay.
已经开发出了几种替代方法,并被经合组织采用,作为对 Draize 眼刺激试验的体外替代方法,用于检测不需要分类(无类别)或对眼睛造成严重损害(类别 1)的化学品,但没有一种方法足够敏感,可以识别出可引起可逆性眼部效应(类别 2)的化学品,这些化学品默认分类。因此,研究了应用于 SkinEthic™人角膜上皮(HCE)模型的基因组方法的区分能力,以根据联合国 GHS 分类进行亚分类能力。一种基于基因表达调制的算法,在一个训练集(62 种液体)和一个测试集(31 种液体)上进行了测试,以 neat 和 30%的浓度进行了测试,该算法被称为 EyeIRR-IS。该算法在区分 Cat1/Cat2 和 No Cat 方面的准确性预测为 95%,特异性为 89%,敏感性为 98%。对于分为 3 个 GHS 类别,准确率达到 84%,Cat1 正确预测 94%,Cat2 正确预测 67%,No Cat 正确预测 89%。没有 Cat.1 类化学品被低估为阴性,大多数 Cat2 类化学品被错误分类为 Cat 1。总之,该试验的性能表明,在一种针对液体的替代 Draize 试验的明确方法中,该试验具有附加价值。