Two-stage bottom-up tiered approach combining several alternatives for identification of eye irritation potential of chemicals including insoluble or volatile substances

For the assessment of eye irritation, one alternative test may not completely replace the rabbit Draize test. In the present study, we examined the predictive potential of a tiered approach analyzing the results from several alternatives (i.e., the Short Time Exposure (STE) test, the EpiOcular assay, the Hen's Egg Test-Chorioallantoic Membrane (HET-CAM) assay and the Bovine Corneal Opacity and Permeability (BCOP) assay) for assessing Globally Harmonized System (GHS) eye irritation categories. Fifty-six chemicals including alcohols, surfactants, and esters were selected with a balanced GHS category and a wide range of chemical classes. From a standpoint of both assessable sample numbers and predictive accuracy, the more favorable tiered approach was considered to be the two-stage bottom-up tiered approach combining the STE test, the EpiOcular assay followed by the BCOP assay (accuracy 69.6%, under prediction rate 8.9%). Moreover, a more favorable predictive capacity (accuracy 71.4%, under prediction rate 3.6%) was obtained when high volatile alcohols/esters with vapor pressures >6 kilopascal (kPa) at 25 °C were evaluated with EpiOcular assay instead of the STE test. From these results, the two-stage bottom-up tiered approach combining the STE test, the EpiOcular assay followed by the BCOP assay might be a promising method for the classification of GHS eye irritation category (Not classified (NC), Category 2 (Cat. 2), and Category 1 (Cat. 1)) for a wide range of test chemicals regardless of solubility.

► We examined predictive capacity of tiered approach for assessing eye irritation. ► The combination of STE, EpiOcular, and BCOP showed good predictive capacity. ► It allowed classification of eye irritation for a wide range of test chemicals. ► The accuracy was improved when volatile chemicals were evaluated with EpiOcular. ► It might be a promising method for predicting full GHS eye irritation categories.