Enhanced predictive capacity using dual-parameter chip model that simulates physiological skin irritation.

Area of Science:

• Toxicology
• Biotechnology
• In vitro models

Background:

• Current in vitro methods like reconstructed human epidermis models inadequately replicate physiological skin irritation responses.
• Skin irritation involves endothelial cell dilation and increased permeability, crucial physiological events not fully captured by existing models.

Purpose of the Study:

• To develop and validate a skin-on-a-chip model that mimics physiological skin irritation.
• To compare the predictive capabilities of this skin-on-a-chip model against reconstructed human epidermis models for skin irritation testing.

Main Methods:

• Adapted a three-layered skin-on-a-chip model (epidermal, dermal, endothelial components).
• Assessed cell viability using OECD TG 439 guidelines.
• Monitored endothelial cell tight junctions to evaluate physiological responses and cell-to-cell interactions.

Main Results:

• The dual-parameter chip model achieved 80% classification accuracy for twenty test substances, surpassing other methods.
• The chip model demonstrated superior suitability for simulating human skin irritation compared to existing alternatives.
• Quantified model accuracy, sensitivity, and specificity based on physiological parameters.

Conclusions:

• The dual-parameter skin-on-a-chip model exhibits enhanced predictive capacity for skin irritation.
• This advanced in vitro model serves as a viable alternative to animal testing for skin irritation evaluations.
• The model's ability to capture physiological responses offers a more accurate assessment of chemical-induced skin irritation.