Mechanistic Skin Modeling of Plasma Concentrations of Sunscreen Active Ingredients Following Facial Application

UV filter
DOI: 10.1016/j.xphs.2023.09.017 Publication Date: 2023-09-26T23:37:52Z
ABSTRACT
Sunscreen products constitute two distinct categories. Recreational sunscreens protect against high-intensity, episodic sun exposure, often applied over the entire body. In contrast, facial sunscreen are designed for sub-erythemal, low-intensity daily exposure. Such different exposures necessitate distinctive product safety assessments. Building on earlier methods predicting dermal disposition, a mechanistic model was developed to simulate plasma concentrations of seven organic active ingredients: avobenzone, ensulizole, homosalate, octinoxate, octisalate, octocrylene, and oxybenzone, following application. vitro permeation testing (IVPT) performed with vehicles using subset UV filters. These IVPT results, in addition previously published data vivo Maximal Usage Trial (MUsT) filters, were used train via Bayesian Markov chain Monte Carlo (MCMC) method. An external validation trained real-world datasets demonstrated that model's predicted filter align well experimental measurements capture observed inter-individual variability. Predictions steady-state under application scenarios at 5% concentration maximal allowable then generated by model. Oxybenzone had greatest Homosalate octisalate predictions high uncertainty associated absence data. Several pertaining ensuilzole, octocrylene octinoxate identified which median levels 0.5 ng/ml or below when recreational product. Model limitations include vehicle/water partitioning, formulation metamorphosis, systemic clearance, all can be refined additional For limiting exposure reduces human concerns based FDA established thresholds.
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