Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, Raleigh, NC 27607, USA.
Eur J Pharm Sci. 2013 Dec 18;50(5):569-76. doi: 10.1016/j.ejps.2013.02.020. Epub 2013 Mar 7.
A vast number of variations in drug/vehicle combinations may come into contact with skin. Evaluating the effect of potential drug, vehicle and skin interactions for all possible combinations is a daunting task. A practical solution is a rapid screening technique amenable to high throughput approaches (e.g. 96-well plates). In this study, three artificial membranes (isopropyl myristate (IPM), certramides and Strat-M™) were evaluated for their ability to predict the skin permeability of caffeine, cortisone, diclofenac sodium, mannitol, salicylic acid and testosterone applied in propylene glycol, water and ethanol as unsaturated and saturated concentrations. Resultant absorption data was compared to porcine skin diffusion cell data. The correlations (r(2)) between membrane and diffusion cell data from saturated and unsaturated concentrations were 0.38, 0.47 and 0.56 for the Strat-M™, certramide and IPM membranes, respectively. This relationship improved when only saturated concentrations were evaluated (r(2) = 0.60, 0.63 and 0.66 for the Strat-M™, certramide and IPM membranes, respectively). A correlation between membrane retention and the amount remaining in skin had r(2) values of 0.73 (Strat-M™), 0.67 (certramides), and 0.67 (IPM). Quantitative structure-permeability relationship models for each membrane identified different physicochemical factors influencing the absorption process. Although further investigations exploring complex topical formulations are required, these results suggest potential use as an initial screening approach to assist in narrowing the selection of formulations to be evaluated with a more biologically intact model, thereby assisting in the development of new topical formulations.
大量的药物/载体组合可能会与皮肤接触。评估所有可能组合中药物、载体和皮肤相互作用的潜在影响是一项艰巨的任务。一个实用的解决方案是一种快速筛选技术,适用于高通量方法(例如 96 孔板)。在这项研究中,三种人工膜(肉豆蔻酸异丙酯(IPM)、神经酰胺和 Strat-M™)被评估其预测咖啡因、皮质醇、双氯芬酸钠、甘露醇、水杨酸和睾酮在丙二醇、水和乙醇中的皮肤渗透性的能力,应用于不饱和和饱和浓度。比较了吸收数据和猪皮扩散细胞数据。饱和和不饱和浓度下膜和扩散细胞数据之间的相关性(r(2))分别为 Strat-M™、神经酰胺和 IPM 膜的 0.38、0.47 和 0.56。当仅评估饱和浓度时,这种关系得到改善(r(2)分别为 Strat-M™、神经酰胺和 IPM 膜的 0.60、0.63 和 0.66)。膜保留量与皮肤中剩余量之间的相关性 r(2) 值分别为 Strat-M™(0.73)、神经酰胺(0.67)和 IPM(0.67)。每种膜的定量结构-渗透性关系模型确定了影响吸收过程的不同物理化学因素。尽管需要进一步研究探索复杂的局部制剂,但这些结果表明,它可能作为一种初始筛选方法用于辅助缩小要评估的制剂选择范围,从而有助于新的局部制剂的开发。