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Assessing the Safety of Cosmetic Chemicals: Consideration of a Flux Decision Tree to Predict Dermally Delivered Systemic Dose for Comparison with Oral TTC (Threshold of Toxicological Concern)


This manuscript describes the construction of a decision tree to predict dermal absorption of cosmetic chemicals based on skin exposure scenarios. A predictive algorithm was used based on the Potts and Guy equation for maximum flux adjusted to actual dose. In addition, systemic availability was ranked against oral TTC. Case studies with experimental data indicated reliability of predictions.

Threshold of Toxicological Concern (TTC) aids assessment of human health risks from exposure to low levels of chemicals when toxicity data are limited. The objective here was to explore the potential refinement of exposure for applying the oral TTC to chemicals found in cosmetic products, for which there are limited dermal absorption data. A decision tree was constructed to estimate the dermally absorbed amount of chemical, based on typical skin exposure scenarios. Dermal absorption was calculated using an established predictive algorithm to derive the maximum skin flux adjusted to the actual ‘dose’ applied. The predicted systemic availability (assuming no local metabolism), can then be ranked against the oral TTC for the relevant structural class. The predictive approach has been evaluated by deriving the experimental / prediction ratio for systemic availability for 22 cosmetic chemical exposure scenarios. These emphasise that estimation of skin penetration may be challenging for penetration enhancing formulations, short application times with incomplete rinse-off, or significant metabolism. While there were a few exceptions, the experiment-to-prediction ratios mostly fell within a factor of 10 of the ideal value of 1. It can be concluded therefore, that the approach is fit-for-purpose when used as a screening and prioritisation tool.

The full article can be accessed here.

For more information please visit the Threshold of Toxicological Task Force webpage.