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基于溶解微针的透皮药物输送建模:溶液中聚合物动力学的影响。

Modeling of Dissolving Microneedle-Based Transdermal Drug Delivery: Effects of Dynamics of Polymers in Solution.

机构信息

Department of Chemical Engineering, Indian Institute of Technology, Delhi 110016, India.

Chemical Engineering Department, Loughborough University, Loughborough LE11 3TU, Leicestershire, United Kingdom.

出版信息

Mol Pharm. 2024 Oct 7;21(10):5104-5114. doi: 10.1021/acs.molpharmaceut.4c00492. Epub 2024 Sep 11.

DOI:10.1021/acs.molpharmaceut.4c00492
PMID:39259772
Abstract

Dissolving microneedle (DMN)-assisted transdermal drug delivery (TDD) has received attention from the scientific community in recent years due to its ability to control the rate of drug delivery through its design, the choice of polymers, and its composition. The dissolution of the polymer depends strongly on the polymer-solvent interaction and polymer physics. Here, we developed a mathematical model based on the physicochemical parameters of DMNs and polymer physics to determine the drug release profiles. An annular gap width is defined when the MN is inserted in the skin, accumulating interstitial fluid (ISF) from the surrounding skin and acting as a boundary layer between the skin and the MN. Poly(vinylpyrrolidone) (PVP) is used as a model dissolving polymer, and ceftriaxone is used as a representative drug. The model agrees well with the literature data for permeation studies, along with the percent height reduction of the MN. Based on the suggested mathematical model, when loading 0.39 mg of ceftriaxone, the prediction indicates that approximately 93% of the drug will be cleared from the bloodstream within 24 h. The proposed modeling strategy can be utilized to optimize drug transport behavior using DMNs.

摘要

近年来,由于其通过设计、聚合物选择和组成控制药物递送速率的能力,溶解微针(DMN)辅助透皮药物递送(TDD)受到科学界的关注。聚合物的溶解强烈依赖于聚合物-溶剂相互作用和聚合物物理学。在这里,我们基于 DMN 的物理化学参数和聚合物物理学开发了一个数学模型,以确定药物释放曲线。当 MN 插入皮肤时,定义一个环形间隙宽度,从周围皮肤中积累间质液(ISF),并充当皮肤和 MN 之间的边界层。聚乙烯吡咯烷酮(PVP)用作溶解聚合物的模型,头孢曲松用作代表性药物。该模型与文献中的渗透研究数据以及 MN 的高度降低百分比非常吻合。基于建议的数学模型,当加载 0.39 毫克头孢曲松时,预测表明大约 93%的药物将在 24 小时内从血液中清除。可以使用 DMN 利用所提出的建模策略来优化药物传输行为。

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