A MULTITEST APPROACH TO EVALUATING OCULAR IRRITATION IN-VITRO

Citation
Jf. Sina et Pd. Gautheron, A MULTITEST APPROACH TO EVALUATING OCULAR IRRITATION IN-VITRO, Toxicology methods, 4(1), 1994, pp. 41-49
Citations number
17
Categorie Soggetti
Toxicology
Journal title
ISSN journal
10517235
Volume
4
Issue
1
Year of publication
1994
Pages
41 - 49
Database
ISI
SICI code
1051-7235(1994)4:1<41:AMATEO>2.0.ZU;2-C
Abstract
Given the number of components scored in the Draize test and the diver se mechanisms leading to distinct clinical signs (opacity, inflammatio n, necrosis, etc.), no single-endpoint in vitro test is likely to suff ice to predict ocular irritation potential. We have sought to develop a test battery to measure these clinical signs to evaluate chemicals f or worker safety. The bovine corneal opacity-permeability assay, which measures two endpoints, corneal opacity and loss of integrity of the epithelial cell barrier, has proven to be quite useful. With this comb ination of endpoints, we find better than an 80% correlation with in v ivo ocular irritation data. Cytotoxicity assays, on the other hand, ha ve been of limited use. We have evaluated neutral red uptake, 3-(4,5-d imethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide dye reduction, a nd [H-3]leucine incorporation and have found that these endpoints show good correlation with in vivo scores only when rankings are made with in a single chemical class. In many applications, however, one needs t o test across many chemical classes, and in that case the cytotoxicity correlation is relatively poor. Measurement of inflammation is techni cally difficult, although assessment of release of chemotactic factors or eicosanoids shows some promise. The best overall approach to findi ng alternatives to in vivo ocular irritation testing is to define a ba ttery of tests in which the endpoints being measured correlate with sp ecific in vivo mechanisms of irritation and which complement one anoth er (i.e., multiple mechanisms measured). Coupling the in vitro results with data generated from historical databases, structure-activity rel ationships, physicochemical analysis, and other toxicity measurements should give a solid base of information from which ocular irritation p otential can be predicted with confidence.