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Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals

We recently developed a novel Vitrigel‐eye irritancy test (EIT) method. The Vitrigel‐EIT method is composed of two parts, i.e., the construction of a human corneal epithelium (HCE) model in a collagen vitrigel membrane chamber and the prediction of eye irritancy by analyzing the time‐dependent profi...

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Autores principales: Yamaguchi, Hiroyuki, Kojima, Hajime, Takezawa, Toshiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057344/
https://www.ncbi.nlm.nih.gov/pubmed/26472347
http://dx.doi.org/10.1002/jat.3254
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author Yamaguchi, Hiroyuki
Kojima, Hajime
Takezawa, Toshiaki
author_facet Yamaguchi, Hiroyuki
Kojima, Hajime
Takezawa, Toshiaki
author_sort Yamaguchi, Hiroyuki
collection PubMed
description We recently developed a novel Vitrigel‐eye irritancy test (EIT) method. The Vitrigel‐EIT method is composed of two parts, i.e., the construction of a human corneal epithelium (HCE) model in a collagen vitrigel membrane chamber and the prediction of eye irritancy by analyzing the time‐dependent profile of transepithelial electrical resistance values for 3 min after exposing a chemical to the HCE model. In this study, we estimated the predictive performance of Vitrigel‐EIT method by testing a total of 118 chemicals. The category determined by the Vitrigel‐EIT method in comparison to the globally harmonized system classification revealed that the sensitivity, specificity and accuracy were 90.1%, 65.9% and 80.5%, respectively. Here, five of seven false‐negative chemicals were acidic chemicals inducing the irregular rising of transepithelial electrical resistance values. In case of eliminating the test chemical solutions showing pH 5 or lower, the sensitivity, specificity and accuracy were improved to 96.8%, 67.4% and 84.4%, respectively. Meanwhile, nine of 16 false‐positive chemicals were classified irritant by the US Environmental Protection Agency. In addition, the disappearance of ZO‐1, a tight junction‐associated protein and MUC1, a cell membrane‐spanning mucin was immunohistologically confirmed in the HCE models after exposing not only eye irritant chemicals but also false‐positive chemicals, suggesting that such false‐positive chemicals have an eye irritant potential. These data demonstrated that the Vitrigel‐EIT method could provide excellent predictive performance to judge the widespread eye irritancy, including very mild irritant chemicals. We hope that the Vitrigel‐EIT method contributes to the development of safe commodity chemicals. Copyright © 2015 The Authors. Journal of Applied Toxicology published by John Wiley & Sons Ltd.
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spelling pubmed-50573442016-10-19 Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals Yamaguchi, Hiroyuki Kojima, Hajime Takezawa, Toshiaki J Appl Toxicol Research Articles We recently developed a novel Vitrigel‐eye irritancy test (EIT) method. The Vitrigel‐EIT method is composed of two parts, i.e., the construction of a human corneal epithelium (HCE) model in a collagen vitrigel membrane chamber and the prediction of eye irritancy by analyzing the time‐dependent profile of transepithelial electrical resistance values for 3 min after exposing a chemical to the HCE model. In this study, we estimated the predictive performance of Vitrigel‐EIT method by testing a total of 118 chemicals. The category determined by the Vitrigel‐EIT method in comparison to the globally harmonized system classification revealed that the sensitivity, specificity and accuracy were 90.1%, 65.9% and 80.5%, respectively. Here, five of seven false‐negative chemicals were acidic chemicals inducing the irregular rising of transepithelial electrical resistance values. In case of eliminating the test chemical solutions showing pH 5 or lower, the sensitivity, specificity and accuracy were improved to 96.8%, 67.4% and 84.4%, respectively. Meanwhile, nine of 16 false‐positive chemicals were classified irritant by the US Environmental Protection Agency. In addition, the disappearance of ZO‐1, a tight junction‐associated protein and MUC1, a cell membrane‐spanning mucin was immunohistologically confirmed in the HCE models after exposing not only eye irritant chemicals but also false‐positive chemicals, suggesting that such false‐positive chemicals have an eye irritant potential. These data demonstrated that the Vitrigel‐EIT method could provide excellent predictive performance to judge the widespread eye irritancy, including very mild irritant chemicals. We hope that the Vitrigel‐EIT method contributes to the development of safe commodity chemicals. Copyright © 2015 The Authors. Journal of Applied Toxicology published by John Wiley & Sons Ltd. John Wiley and Sons Inc. 2015-10-15 2016-08 /pmc/articles/PMC5057344/ /pubmed/26472347 http://dx.doi.org/10.1002/jat.3254 Text en Copyright © 2015 The Authors. Journal of Applied Toxicology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Yamaguchi, Hiroyuki
Kojima, Hajime
Takezawa, Toshiaki
Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals
title Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals
title_full Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals
title_fullStr Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals
title_full_unstemmed Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals
title_short Predictive performance of the Vitrigel‐eye irritancy test method using 118 chemicals
title_sort predictive performance of the vitrigel‐eye irritancy test method using 118 chemicals
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057344/
https://www.ncbi.nlm.nih.gov/pubmed/26472347
http://dx.doi.org/10.1002/jat.3254
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