College of Engineering and Applied Science, The University of Cincinnati, Cincinnati, OH 45221, USA.
Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260-4200, USA.
Int J Pharm. 2022 Aug 25;624:122030. doi: 10.1016/j.ijpharm.2022.122030. Epub 2022 Jul 18.
To measure progress and evaluate performance of the newest UB/UC/P&G skin penetration model we simulated an 18-compound subset of finite dose in vitro human skin permeation data taken from a solvent-deposition study of cosmetic-relevant compounds (Hewitt et al., J. Appl. Toxicol. 2019, 1-13). The recent model extension involved slowly reversible binding of solutes to stratum corneum keratins. The selected subset was compounds that are liquid at skin temperature. This set was chosen to distinguish between slow binding and slow dissolution effects that impact solid phase compounds. To adequately simulate the physical experiments there was a need to adjust the evaporation mass transfer coefficient to better represent the diffusion cell system employed in the study. After this adjustment the model successfully predicted both dermal delivery and skin surface distribution of 12 of the 18 compounds. Exceptions involved compounds that were cysteine-reactive, highly water-soluble or highly ionized in the dose solution. Slow binding to keratin, as presently parameterized, was shown to significantly modify the stratum corneum kinetics and diffusion lag times, but not the ultimate disposition, of the more lipophilic compounds in the dataset. Recommendations for further improvement of both modeling methods and experimental design are offered.
为了衡量最新的 UB/UC/P&G 皮肤渗透模型的进展并评估其性能,我们模拟了一组来自化妆品相关化合物溶剂沉积研究的有限剂量体外人体皮肤渗透数据的 18 种化合物子集(Hewitt 等人,J. Appl. Toxicol. 2019, 1-13)。最近的模型扩展涉及溶质与角质层角蛋白的缓慢可逆结合。所选子集是在皮肤温度下为液体的化合物。选择该子集是为了区分影响固相化合物的缓慢结合和缓慢溶解效应。为了充分模拟物理实验,需要调整蒸发传质系数以更好地代表研究中使用的扩散池系统。经过这种调整,该模型成功预测了 18 种化合物中的 12 种化合物的经皮输送和皮肤表面分布。例外情况涉及与半胱氨酸反应、高度水溶性或在剂量溶液中高度离子化的化合物。目前参数化的与角蛋白的缓慢结合显著改变了角质层动力学和扩散滞后时间,但并未改变数据集内更亲脂性化合物的最终处置。为进一步改进建模方法和实验设计提供了建议。