The reliable targeting of specific drug release profiles by integrating arrays of different albumin-encapsulated microsphere types
The reliable targeting of specific drug release profiles by integrating arrays of different albumin-encapsulated microsphere types
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DOI：
10.1016/j.biomaterials.2009.08.035
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发表时间：
2009-12-01
期刊：
影响因子：
14
通讯作者：
Frank, Curtis W.
中科院分区：
文献类型：
--
作者：
Lee, Wonjae;Wiseman, Meredith E.;Frank, Curtis W.
生物可降解聚合物微球已成功用作蛋白质或肽类药物控释的介质。由于释放动力学通常是通过调节介质的物理或化学性质来控制的，因此必须优化这些参数以获得特定的释放曲线。然而，由于释放机制的复杂性以及释放介质各种设计参数之间复杂的相互作用，对所得释放曲线进行详细预测是一项挑战。在此，我们提出一种通过整合一系列不同微球类型的释放曲线来更有效地实现特定释放曲线的简单方法。该方案基于我们的观察，即不同样品混合物的所得释放曲线可预测为每个样品单独测量的释放曲线的线性总和。因此，通过在每个时间点使用线性方程并将其表述为矩阵方程，我们可以确定在混合物中应包含每种微球的量，以获得特定的释放曲线。按照这种方法，成功获得了几种目标释放曲线。我们期望所提出的方法将使我们能够克服控制复杂释放机制的局限性，从而能够可靠地设计药物递送系统以满足临床需求。（C）2009爱思唯尔有限公司。保留所有权利。
Biodegradable polymer microspheres have been successfully utilized as a medium for controlled protein or peptide-based drug release. Because the release kinetics has been typically controlled by modulating physical or chemical properties of the medium, these parameters must be optimized to obtain a specific release profile. However, due to the complexity of the release mechanism and the complicated interplay between various design parameters of the release medium, detailed prediction of the resulting release profile is a challenge. Herein we suggest a simple method to target specific release profiles more efficiently by integrating release profiles for an array of different microsphere types. This scheme is based on our observation that the resulting release profile from a mixture of different samples can be predicted as the linear summation of the individually measured release profiles of each sample. Hence, by employing a linear equation at each time point and formulating them as a matrix equation, we could determine how much of each microsphere type to include in a mixture in order to have a specific release profile. In accordance with this method, several targeted release profiles were successfully obtained. We expect that the proposed method will allow us to overcome limitations in controlling complicated release mechanisms so that drug delivery systems can be reliably designed to satisfy clinical demands. (C) 2009 Elsevier Ltd. All rights reserved.