Literature DB >> 21942548

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.

Susanne N Kolle1, Helena Kandárová, Britta Wareing, Bennard van Ravenzwaay, Robert Landsiedel.   

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. 2011 FRAME.

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Year:  2011        PMID: 21942548     DOI: 10.1177/026119291103900410

Source DB:  PubMed          Journal:  Altern Lab Anim        ISSN: 0261-1929            Impact factor:   1.303


  9 in total

Review 1.  Same-chemical comparison of nonanimal eye irritation test methods: Bovine corneal opacity and permeability, EpiOcular™, isolated chicken eye, ocular Irritection®, OptiSafe™, and short time exposure.

Authors:  Stewart Lebrun; Linda Nguyen; Sara Chavez; Roxanne Chan; Debby Le; Minh Nguyen; James V Jester
Journal:  Toxicol In Vitro       Date:  2020-12-19       Impact factor: 3.500

Review 2.  Nanostructure-based platforms-current prospective in ophthalmic drug delivery.

Authors:  Rakesh Kumar Sharma; Alaa Eldeen B Yassin
Journal:  Indian J Ophthalmol       Date:  2014-07       Impact factor: 1.848

3.  Eye irritation testing of nanomaterials using the EpiOcular™ eye irritation test and the bovine corneal opacity and permeability assay.

Authors:  Susanne N Kolle; Ursula G Sauer; Maria C Rey Moreno; Wera Teubner; Wendel Wohlleben; Robert Landsiedel
Journal:  Part Fibre Toxicol       Date:  2016-04-15       Impact factor: 9.400

4.  Analysis of Draize eye irritation testing and its prediction by mining publicly available 2008-2014 REACH data.

Authors:  Thomas Luechtefeld; Alexandra Maertens; Daniel P Russo; Costanza Rovida; Hao Zhu; Thomas Hartung
Journal:  ALTEX       Date:  2016-02-11       Impact factor: 6.043

5.  Development of a Vitrification Preservation Process for Bioengineered Epithelial Constructs.

Authors:  Lia H Campbell; Kelvin G M Brockbank
Journal:  Cells       Date:  2022-03-25       Impact factor: 6.600

6.  Determining the Depth of Injury in Bioengineered Tissue Models of Cornea and Conjunctiva for the Prediction of All Three Ocular GHS Categories.

Authors:  Michaela Zorn-Kruppa; Pia Houdek; Ewa Wladykowski; Maria Engelke; Melinda Bartok; Karsten R Mewes; Ingrid Moll; Johanna M Brandner
Journal:  PLoS One       Date:  2014-12-10       Impact factor: 3.240

7.  Eye Irritation Test (EIT) for Hazard Identification of Eye Irritating Chemicals using Reconstructed Human Cornea-like Epithelial (RhCE) Tissue Model.

Authors:  Yulia Kaluzhny; Helena Kandárová; Laurence d'Argembeau-Thornton; Paul Kearney; Mitchell Klausner
Journal:  J Vis Exp       Date:  2015-08-23       Impact factor: 1.355

8.  Green Toxicology: a strategy for sustainable chemical and material development.

Authors:  Sarah E Crawford; Thomas Hartung; Henner Hollert; Björn Mathes; Bennard van Ravenzwaay; Thomas Steger-Hartmann; Christoph Studer; Harald F Krug
Journal:  Environ Sci Eur       Date:  2017-04-04       Impact factor: 5.893

9.  Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.

Authors:  Thomas Luechtefeld; Dan Marsh; Craig Rowlands; Thomas Hartung
Journal:  Toxicol Sci       Date:  2018-09-01       Impact factor: 4.849

  9 in total

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