Integrating mathematical approaches (IMAS): Novel methodology for predicting dermal absorption rates of chemicals under finite dose conditions.

Quantitative structure permeation relationship (QSPR) models have gained prominence in recent years owing to their capacity to elucidate the influence of physicochemical properties on the dermal absorption of chemicals. These models facilitate the prediction of permeation coefficient (Kp) values, indicating the skin permeability of a chemical under infinite dose conditions. Conversely, obtaining dermal absorption rates (DAs) under finite dose conditions, which are crucial for skin product safety evaluation, remains a challenge when relying solely on Kp predictions from QSPR models. One proposed resolution involves using Kroes' methodology, categorizing DAs based on Kp values; however, refinement becomes necessary owing to discreteness in the obtained values. We previously developed a mathematical model using Kp values obtained from in vitro dermal absorption tests to predict DAs. The present study introduces a new methodology, Integrating Mathematical Approaches (IMAS), which combines QSPR models and our mathematical model to predict DAs for risk assessments without conducting in vitro dermal absorption tests. Regarding 40 chemicals (76.1 ≤ MW ≤ 220; -1.4 ≤ Log Ko/w ≤ 3.1), IMAS showed that 65.0% (26/40) predictions of DA values were accurate to within twofold of the observed values in finite dose experiments. Compared to Kroes' methodology, IMAS notably mitigated overestimation, particularly for hydrophilic chemicals with water solubility exceeding 57.0 mg/cm3. These findings highlight the value of IMAS as a tool for skin product risk assessments, particularly for hydrophilic compounds.

Evaluating the applicability of the Ames test for cosmetic packaging assessment by comparing carcinogenic risk levels of migrants from plastics with biological detection limits.

Risk assessments for cosmetic packaging are required according to the EU Cosmetics Regulation (EC) No. 1223/2009, however, the assessment method is well-established for food packaging but limited for cosmetic packaging. In food packaging assessments, Cramer class III TTC (90 µg/day) is applied as the threshold for systemic toxicity when the Ames test including the process of sample concentration steps provides the negative results. However, the human health risks of mutagenic and carcinogenic migrants at exposure levels where the Ames test with the concentrated samples cannot detect are unclear. In the present study, to confirm the applicability of the Ames test for cosmetic packaging assessments, the toxicological data on 37 candidate migrants with Ames test-positive results was collected. For these migrants, the carcinogenic risk levels through cosmetics use were compared to the detection levels of the Ames test for concentrated samples. Regarding at least 32 migrants, the case study showed the negative result from the Ames test incorporating the sample concentration process would indicate negligible mutagenic and carcinogenic risks of packaging extracts. Therefore, application of the Ames test to cosmetic packaging assessments would be helpful to ensure the safety for mutagenicity and carcinogenicity as well as use Cramer-TTC for systemic toxicity.

A Mathematical Approach Using Strat-M® to Predict the Percutaneous Absorption of Chemicals under Finite Dose Conditions.

Estimation of the percutaneous absorption is essential for the safety assessment of cosmetic and dermopharmaceutical products. Currently, an artificial membrane, Strat-M®, has been focused on as the tool which could obtain the permeation parameters close to the skin-derived values. Nevertheless, few practical methodologies using the permeation parameters for assessing percutaneous absorption under in-use conditions are available. In the present study, based on Fick's first law of diffusion, a novel mathematical model incorporating the permeation parameters as well as considering the water evaporation (Teva) was constructed. Then, to evaluate the applicability domain of our model in the case where Strat-M®-derived parameters were used, the permeation parameters were compared between the skin from edible porcine and Strat-M®. Regarding chemicals (-0.2 ≤ Log Kow ≤ 2.0), their permeation profiles were equivalent between Strat-M® and porcine skin. Therefore, for these chemicals, the percutaneous absorption was calculated using our model with the permeation parameters obtained using Strat-M® and the Teva determined by measuring the solution weight. The calculated values revealed a good correlation to the values obtained using porcine skin in finite dose experiments, suggesting that our mathematical approach with Strat-M® would be useful for the future safety assessment of cosmetic and dermopharmaceutical products.