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Current alternatives to animal testing methods for skin irritation evaluation such as reconstructed human epidermis models are not fully representing physiological response caused by skin irritants. Skin irritation is physiologically induced by the dilation and increased permeability of endothelial cells. Thus, our objectives were to mimic physiological skin irritation using a skin-on-a-chip model and compare predictive capacities with a reconstructed human epidermis model to evaluate its effectiveness. To achieve our goals, the skin-on-a-chip model, consisting of three layers representing the epidermal, dermal and endothelial components, was adapted. Cell viability was measured using the OECD TG 439 protocol for test substance evaluation. The tight junctions of endothelial cells were also observed and measured to assess physiological responses to test substances. These parameters were used to physiologically evaluate cell-to-cell interactions induced by test substances and quantify model accuracy, sensitivity, and specificity. Based on in vivo data, the classification accuracy of twenty test substances using a dual-parameter chip model was 80%, which is higher than other methods. Besides, the chip model was more suitable for simulating human skin irritation. Therefore, it is important to note that the dual-parameter chip model possesses an enhanced predictive capacity and could serve as an alternative to animal testing for skin irritation.

Although many methods to assess sensitization have been investigated to replace animal testing, it is still imperative to develop an in vitro method to minimize the use of animals and to classify sensitizers. Recently, an assay using the human keratinocyte cell line (HaCaT) was developed as an alternative method. Our aim was to optimize this method and validate its ability to assess sensitization. The highest dose that resulted in 75% cell viability was determined for each test substance. Then, serial dilutions of the dose were applied to measure the levels of secreted proinflammatory cytokines. To optimize the assay, statistical analyses were performed to determine whether all of the doses tested were necessary to maintain the predictive values. Exclusion of the 0.5× dose did not change the predictive values drastically. To validate the optimized method, 22 substances were evaluated without the 0.5× dose, resulting in overall predictive values of 83.3% for sensitivity, 80.0% for specificity, and 81.8% for accuracy, which are comparable to results from other validated assays. These results suggest that statistical analysis can assist in development of alternative in vitro methods and that the optimized HaCaT cell assay is reproducible.