Department of Chemistry, School of Human Health Sciences, Univ. of Florence, Italy.
Department of Chemistry, School of Human Health Sciences, Univ. of Florence, Italy.
Int J Pharm. 2018 Aug 25;547(1-2):530-536. doi: 10.1016/j.ijpharm.2018.06.032. Epub 2018 Jun 15.
The work was aimed at developing an in vitro method able to provide rapid and reliable evaluation of drug absorption through buccal mucosa. Absorption simulator apparatus endowed with an artificial membrane was purposely developed by experimental design. The apparent permeation coefficient (P) through excised porcine buccal mucosa of naproxen, selected as model drug, was the target value to obtain with the artificial membrane. The multivariate approach enabled systematic evaluation of the effect on the response (P) of simultaneous variations of the variables (kind of lipid components for support impregnation and relative amounts). A screening phase followed by a response-surface study allowed optimization of the lipid-mixture composition to obtain the desired P value, and definition of a design space where all mixture components combinations fulfilled the desired target at a fixed probability level. The method offers a useful tool for a quick screening in the early stages of drug discovery and/or in preformulation studies, improving efficiency and chance of success in the development of buccal delivery systems. Further studies with other model drugs are planned to confirm the buccal absorption predictive capacity of the developed membrane.
本工作旨在开发一种能够快速可靠地评估药物经口腔颊黏膜吸收的体外方法。通过实验设计,专门开发了一种具有人工膜的吸收模拟器装置。选用萘普生作为模型药物,通过离体猪口腔颊黏膜的表观渗透系数(P)作为获得人工膜的目标值。多元方法能够系统地评估响应(P)同时变化的变量(支持浸渍的脂质成分的种类和相对量)的影响。筛选阶段后进行响应面研究,以优化脂质混合物的组成,从而获得所需的 P 值,并定义设计空间,其中所有混合物成分组合在固定概率水平下都能满足目标。该方法为药物发现早期阶段或制剂前研究提供了一种有用的快速筛选工具,可提高颊黏膜给药系统开发的效率和成功率。计划用其他模型药物进行进一步研究,以验证所开发膜的颊黏膜吸收预测能力。