Suppr超能文献

EpiOcular(TM)眼刺激性试验的内部验证及其与牛角膜混浊和通透性试验相结合评估眼部刺激性。

In-house validation of the EpiOcular(TM) eye irritation test and its combination with the bovine corneal opacity and permeability test for the assessment of ocular irritation.

机构信息

BASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany.

出版信息

Altern Lab Anim. 2011 Sep;39(4):365-87. doi: 10.1177/026119291103900410.

Abstract

In 2009, the Bovine Corneal Opacity and Permeability (BCOP) test was accepted by the regulatory bodies for the identification of corrosive and severe ocular irritants (Global Harmonised System [GHS] Category 1). However, no in vitro test is currently accepted for the differentiation of ocular irritants (GHS Category 2) and non-irritants (GHS No Category). Human reconstructed tissue models have been suggested for incorporation into a tiered testing strategy to ultimately replace the Draize rabbit eye irritation test (OECD TG 405). The purpose of this study was to evaluate whether the EpiOcular(TM) reconstructed cornea-like tissue model and the COLIPA pre-validated EpiOcular Eye Irritation Test (EpiOcular-EIT) could be used as suitable components of this testing strategy. The in-house validation of the EpiOcular-EIT was performed by using 60 test substances, including a broad variety of chemicals and formulations for which in vivo data (from the Draize rabbit eye irritation test) were available. The test substances fell into the following categories: 18 severe irritants/corrosives (Category 1), 21 irritants (Category 2), and 21 non-irritants (No Category). Test substances that decreased tissue viability to ≤ 60% (compared to the negative control tissue) were considered to be eye irritants (Category 1/2). Test substances resulting in tissue viability of > 60% were considered to be non-irritants (No Category). For the assessed dataset and the classification cut-off of 60% viability, the EpiOcular-EIT provided 98% and 84% sensitivity, 64% and 90% specificity, and 85% and 86% overall accuracy for the literature reference and BASF proprietary substances, respectively. Applying a 50% tissue viability cut-off to distinguish between irritants and non-irritants resulted in 93% and 82% sensitivity, 68% and 100% specificity, and 84% and 88% accuracy for the literature reference and BASF proprietary substances, respectively. Further, in the EpiOcular-EIT (60% cut-off), 100% of severely irritating substances under-predicted by the BCOP assay were classified as Category 1/2. The results obtained in this study, based on 60 test substances, indicate that the EpiOcular-EIT and the BCOP assay can be combined in a testing strategy to identify strong/severe eye irritants (Category 1), moderate and mild eye irritants (Category 2), and non-irritants (No Category) in routine testing. In particular, when the bottom-up strategy with the 60% viability cut-off was employed, none of the severely irritating substances (Category 1) were under-predicted to be non-irritant. Sensitivity for Category 1/2 substances was 100% for literature reference substances and 89% for BASF SE proprietary substances.

摘要

2009 年,牛角膜混浊和通透性(BCOP)试验被监管机构接受,用于鉴定腐蚀性和严重眼部刺激性物质(全球协调系统[GHS]类别 1)。然而,目前还没有用于区分眼部刺激性物质(GHS 类别 2)和非刺激性物质(GHS 无类别)的体外试验。已经提出了人类重建组织模型,以纳入分层测试策略中,最终取代兔眼刺激性试验(OECD TG 405)。本研究的目的是评估 EpiOcular(TM)重建角膜样组织模型和 COLIPA 预先验证的 EpiOcular 眼部刺激性试验(EpiOcular-EIT)是否可作为该测试策略的合适组成部分。通过使用 60 种测试物质对 EpiOcular-EIT 进行了内部验证,其中包括广泛的化学物质和制剂,这些物质具有体内数据(来自兔眼刺激性试验)。测试物质分为以下几类:18 种严重刺激性物质/腐蚀性物质(类别 1)、21 种刺激性物质(类别 2)和 21 种非刺激性物质(无类别)。组织活力降低至≤60%(与阴性对照组织相比)的测试物质被认为是眼部刺激性物质(类别 1/2)。组织活力>60%的测试物质被认为是非刺激性物质(无类别)。对于评估数据集和 60%活力的分类截止值,EpiOcular-EIT 对文献参考物质和巴斯夫专有物质分别提供了 98%和 84%的灵敏度、64%和 90%的特异性和 85%和 86%的总体准确性。应用 50%组织活力截止值来区分刺激性物质和非刺激性物质,对于文献参考物质和巴斯夫专有物质,灵敏度分别为 93%和 82%、特异性分别为 68%和 100%、准确性分别为 84%和 88%。此外,在 EpiOcular-EIT(60%截止值)中,BCOP 测定法预测为严重刺激性的物质全部被分类为类别 1/2。本研究基于 60 种测试物质得出的结果表明,EpiOcular-EIT 和 BCOP 测定法可结合在测试策略中,以在常规测试中识别强/严重眼部刺激性物质(类别 1)、中度和轻度眼部刺激性物质(类别 2)和非刺激性物质(无类别)。特别是,当采用 60%活力截止值的自下而上策略时,没有一种严重刺激性物质(类别 1)被预测为非刺激性物质。文献参考物质的类别 1/2 物质的灵敏度为 100%,巴斯夫 SE 专有物质的灵敏度为 89%。

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