Upadhya Rahul, Punia Ashish, Kanagala Mythili J, Liu Lina, Lamm Matthew, Rhodes Timothy A, Gormley Adam J
Department of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Preformulation Sciences, MRL, Merck & Co., Inc., Rahway, NJ 07065, USA.
ACS Appl Polym Mater. 2021 Mar 12;3(3):1525-1536. doi: 10.1021/acsapm.0c01376. Epub 2021 Feb 15.
In pharmaceutical oral drug delivery development, about 90% of drugs in the pipeline have poor aqueous solubility leading to severe challenges with oral bioavailability and translation to effective and safe drug products. Amorphous solid dispersions (ASDs) have been utilized to enhance the oral bioavailability of poorly soluble active pharmaceutical ingredients (APIs). However, a limited selection of regulatory-approved polymer excipients exists for the development and further understanding of tailor-made ASDs. Thus, a significant need exists to better understand how polymers can be designed to interact with specific API moieties. Here, we demonstrate how an automated combinatorial library approach can be applied to the synthesis and screening of polymer excipients for the model drug probucol. We synthesized a library of 25 random heteropolymers containing one hydrophilic monomer (2-hydroxypropyl acrylate (HPA)) and four hydrophobic monomers at varied incorporation. The performance of ASDs made by a rapid film casting method was evaluated by dissolution using ultra-performance liquid chromatography (UPLC) sampling at various time points. This combinatorial library and rapid screening strategy enabled us to identify a relationship between polymer hydrophobicity, monomer hydrophobic side group geometry, and API dissolution performance. Remarkably, the most effective synthesized polymers displayed slower drug release kinetics compared to industry standard polymer excipients, showing the ability to modulate the drug release profile. Future coupling of high throughput polymer synthesis, high throughput screening (HTS), and quantitative modeling would enable specification of designer polymer excipients for specific API functionalities.
在药物口服给药研发中,处于研发阶段的药物约90%具有较差的水溶性,这给口服生物利用度以及转化为有效且安全的药品带来了严峻挑战。无定形固体分散体(ASDs)已被用于提高难溶性活性药物成分(APIs)的口服生物利用度。然而,在开发和进一步了解定制的ASDs方面,可供选择的经监管批准的聚合物辅料有限。因此,迫切需要更好地了解如何设计聚合物以使其与特定的API部分相互作用。在此,我们展示了如何将自动化组合库方法应用于模型药物普罗布考的聚合物辅料的合成和筛选。我们合成了一个包含25种无规杂聚物的库,这些杂聚物含有一种亲水性单体(丙烯酸2-羟丙酯(HPA))和四种疏水性单体,且它们的掺入量各不相同。通过快速流延法制备的ASDs的性能,在不同时间点使用超高效液相色谱(UPLC)取样进行溶出度评估。这种组合库和快速筛选策略使我们能够确定聚合物疏水性、单体疏水侧基几何形状与API溶出性能之间的关系。值得注意的是,与行业标准聚合物辅料相比,合成的最有效的聚合物显示出较慢的药物释放动力学,表明其具有调节药物释放曲线的能力。未来高通量聚合物合成与高通量筛选(HTS)以及定量建模的结合,将能够为特定的API功能确定定制的聚合物辅料。