Suppr超能文献

解读非线性药物扩散数据:利用 Korsmeyer-Peppas 模型研究脂质体的药物释放。

Interpreting non-linear drug diffusion data: Utilizing Korsmeyer-Peppas model to study drug release from liposomes.

机构信息

Drug Transport and Delivery Research Group, Department of Pharmacy, University of Tromsø The Arctic University of Norway, Universitetsvegen 57, 9037 Tromsø, Norway.

Drug Transport and Delivery Research Group, Department of Pharmacy, University of Tromsø The Arctic University of Norway, Universitetsvegen 57, 9037 Tromsø, Norway; Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, Sem Sælands vei 3, 0371 Oslo, Norway.

出版信息

Eur J Pharm Sci. 2019 Oct 1;138:105026. doi: 10.1016/j.ejps.2019.105026. Epub 2019 Jul 30.

Abstract

The aim of this work was to clarify the dynamics behind the influence of ionic strength on the changes in drug release from large unilamellar vesicles (LUVs). For this purpose, we have investigated the transport of two different model drugs (caffeine and hydrocortisone) formulated into liposomes through different types of barriers with different retention properties (regenerated cellulose and the newly introduced biomimetic barrier, Permeapad®). Drug release from liposomes was studied utilizing the standard Franz diffusion cells. LUV dispersions were exposed to the isotonic, hypotonic and hypertonic environment (difference of 300 mOsm/kg between the initial LUVs and the environment) and experimental data treated with both linear and non-linear (Korsmeyer-Peppas) regression models. To alter the rigidity of the liposomal membranes, cholesterol was introduced in the liposomal barriers (up to 25% w/w). Korsmeyer-Peppas model was proven to be suited to analyse experimental data throughout the experimental time frame, providing important additive information in comparison to standard linear approximation. The obtained results are highly relevant as they improve the interpretation of drug release kinetics from LUVs under osmotic stress. Moreover, the findings can be utilized in the development of liposomal formulations intended for nose-to-brain targeted drug delivery.

摘要

本工作旨在阐明离子强度对大单层囊泡(LUV)中药物释放变化影响背后的动力学机制。为此,我们研究了两种不同模型药物(咖啡因和氢化可的松)通过具有不同保留特性的不同类型屏障(再生纤维素和新引入的仿生屏障 Permeapad®)包封在脂质体中的转运。利用标准 Franz 扩散池研究了脂质体中药物的释放。将 LUV 分散体暴露于等渗、低渗和高渗环境(LUV 初始环境和环境之间的差异为 300 mOsm/kg),并用线性和非线性(Korsmeyer-Peppas)回归模型处理实验数据。为了改变脂质体膜的刚性,在脂质体屏障中引入胆固醇(高达 25% w/w)。Korsmeyer-Peppas 模型被证明适用于在整个实验时间范围内分析实验数据,与标准线性近似相比提供了重要的附加信息。所得结果具有重要意义,因为它们可以改善渗透压应激下 LUV 中药物释放动力学的解释。此外,这些发现可用于开发用于经鼻递药靶向脑内的脂质体制剂。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验