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Development of an Eye Irritation Test Method Using an In-House Fabrication of a Reconstructed Human Cornea-like Epithelium Model for Eye Hazard Identification.
Yamamoto, Naoki; Hiramatsu, Noriko; Kato, Yoshinao; Sato, Atsushi; Kojima, Hajime.
Afiliação
  • Yamamoto N; Support Office for Bioresource Research, Center for Translational Research, Translational Research Headquarters, Fujita Health University, Toyoake 470-1192, Aichi, Japan.
  • Hiramatsu N; International Center for Cell and Gene Therapy, Research Promotion Headquarters, Fujita Health University, Toyoake 470-1192, Aichi, Japan.
  • Kato Y; Support Office for Bioresource Research, Center for Translational Research, Translational Research Headquarters, Fujita Health University, Toyoake 470-1192, Aichi, Japan.
  • Sato A; Nippon Menard Cosmetic Co., Ltd., Nagoya 451-0071, Aichi, Japan.
  • Kojima H; Nippon Menard Cosmetic Co., Ltd., Nagoya 451-0071, Aichi, Japan.
Bioengineering (Basel) ; 11(4)2024 Mar 22.
Article em En | MEDLINE | ID: mdl-38671724
ABSTRACT
In a previous study, a novel human corneal-like epithelium model utilizing an immortalized human corneal epithelial cell line (iHCE-NY1) was developed as an alternative to animal models to identify chemicals not classified under the United Nations Globally Harmonized System of Classification and Labeling of Chemicals (GHS) and was evaluated following the criteria of Test Guideline 492 of the Organization for Economic Co-operation and Development (OECD). In the present study, our aim was to establish an eye irritation test protocol using the iHCE-NY1 model to classify liquid chemicals under the GHS ocular hazard categories no effect, no classification (No Cat.), Category 2 (Cat. 2) reversible effects, and Category 1 (Cat. 1) irreversible eye damage. The protocol involved exposing the iHCE-NY1 model to 31 liquid test chemicals for 5 min, followed by observation at post-incubation periods (PIPs) to assess recovery. Classification was based on cell viability, and histopathological findings on PIP days 7, 14, and 21. The outcomes were compared with an established database of classifications. All Cat. 1 liquid chemicals, 62.5% of No Cat., and 63.2% of Cat. 2 were correctly categorized. This study demonstrates that the iHCE-NY1 model can not only distinguish No Cat. test liquid chemicals but also differentiate between Cat. 2 and Cat. 1 liquid chemicals.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article