Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Sem Saelands vei 3, 0371 Oslo, Norway.
Department of Engineering and Architecture, University of Trieste, Via Alfonso Valerio, 6/1, 34127 Trieste, Italy.
Eur J Pharm Biopharm. 2022 Sep;178:168-178. doi: 10.1016/j.ejpb.2022.08.009. Epub 2022 Aug 25.
The correlation between in vivo and in vitro data is yet not sufficiently optimized to allow a significant reduction and replacement of animal testing in pharmaceutical development. One of the main reasons for this lies in the poor mechanistic understanding and interpretation of the physical mechanisms enabling formulation rely on for deploying the drug. One mechanism that still lacks a proper interpretation is the kinetics of drug release from nanocarriers. In this work, we investigate two different types of classical enabling formulations - i) cyclodextrin solutions and ii) liposomal dispersions - by a combination of an experimental method (i.e. UV-Vis localized spectroscopy) and mathematical modelling/numerical data fitting. With this approach, we are able to discriminate precisely between the amount of drug bound to nanocarriers or freely dissolved at any time point; in addition, we can precisely estimate the binding and diffusivity constants of all chemical species (free drug/bound drug). The results obtained should serve as the first milestone for the further development of reliable in vitro/in silico models for the prediction of in vivo drug bioavailability when enabling formulations are used.
体内数据和体外数据之间的相关性还没有得到充分优化,无法显著减少和替代药物开发中的动物试验。造成这种情况的主要原因之一在于对使制剂发挥作用的物理机制的机械理解和解释不足。其中一个机制仍然缺乏适当的解释,即纳米载体中药物释放的动力学。在这项工作中,我们通过实验方法(即紫外-可见局部光谱法)和数学建模/数值拟合相结合,研究了两种不同类型的经典赋形剂 - i)环糊精溶液和 ii)脂质体分散体。通过这种方法,我们能够精确区分纳米载体上结合的药物量或任何时间点自由溶解的药物量;此外,我们还可以精确估计所有化学物质(游离药物/结合药物)的结合和扩散常数。所得结果应作为进一步开发用于预测体内药物生物利用度的可靠体外/计算模型的第一个里程碑,当使用赋形剂时。