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用于预测药物-聚合物固体分散体稳定性的高通量微阵列方法

High-Throughput Microarray Approaches for Predicting the Stability of Drug-Polymer Solid Dispersions.

作者信息

Ghazi Noha F, Burley Jonathan C, Dryden Ian L, Roberts Clive J

机构信息

School of Pharmacy, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom.

Department of Pharmaceutics, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt.

出版信息

Mol Pharm. 2025 Jan 6;22(1):343-362. doi: 10.1021/acs.molpharmaceut.4c00955. Epub 2024 Dec 21.

Abstract

Amorphous solid dispersions (ASDs) offer a well-recognized strategy to improve the effective solubility and, hence, bioavailability of poorly soluble drugs. In this study, we developed an extensive library of a significant number of solid dispersion formulations using a library of chemically diverse drugs combined with a water-soluble polymer (polyvinylpyrrolidone vinyl acetate, PVPVA) at different loadings. These formulations were printed as microarrays of solid dispersion formulations, utilizing minimal material amounts (nanograms). They were subjected to a six-month stability study under accelerated conditions (40 °C and 75% relative humidity). Physical stability outcomes varied significantly among the different drug-polymer combinations, with stability ranging from immediate drug crystallization to several days of stability. The comprehensive data set obtained from this high-throughput screening was used to construct multiple linear regression models to correlate the stability of ASDs with the physicochemical properties of the used Active Pharmaceutical Ingredients (APIs). Our findings reveal that increased stability of ASDs is associated with a lower number of hydrogen bond acceptors alongside a higher overall count of heteroatoms and oxygen atoms in the drug molecules. This suggests that, while heteroatoms and oxygen are abundant, their role as hydrogen bond acceptors is limited due to their specific chemical environments, contributing to overall stability. Additionally, drugs with lower melting points formed more stable ASDs within the polymer matrix. This study, hence, highlights the importance of minimizing repulsive drug-polymer interactions to yield a physically stable ASD. The developed models, validated through Leave-One-Out Cross-Validation, demonstrated good predictability of stability trends. Hence, the high-throughput 2D inkjet printing technique that was used to manufacture the microarrays proved valuable for assessing drug-polymer crystallization onset risks and predicting stability outcomes. In conclusion, this study demonstrates a novel approach to solid dispersion formulation physical stability screening, enhancing efficiency, minimizing material requirements, and expanding the range of samples evaluated. Our findings provide insights into the critical physicochemical properties influencing ASD stability, offering a significant advancement in developing stable ASDs.

摘要

无定形固体分散体(ASDs)提供了一种公认的策略,可提高难溶性药物的有效溶解度,从而提高其生物利用度。在本研究中,我们使用一系列化学性质不同的药物与不同载药量的水溶性聚合物(聚维酮乙酸乙烯酯,PVPVA),开发了大量固体分散体制剂库。这些制剂以固体分散体制剂微阵列的形式打印,使用的材料量极少(纳克级)。它们在加速条件(40℃和75%相对湿度)下进行了为期六个月的稳定性研究。不同药物 - 聚合物组合的物理稳定性结果差异显著,稳定性范围从药物立即结晶到稳定数天不等。从这种高通量筛选获得的综合数据集用于构建多元线性回归模型,以关联ASDs的稳定性与所用活性药物成分(APIs)的物理化学性质。我们的研究结果表明,ASDs稳定性的提高与药物分子中氢键受体数量的减少以及杂原子和氧原子总数的增加有关。这表明,虽然杂原子和氧含量丰富,但由于其特定的化学环境,它们作为氢键受体的作用有限,有助于整体稳定性。此外,熔点较低的药物在聚合物基质中形成了更稳定的ASDs。因此,本研究强调了最小化药物 - 聚合物排斥相互作用以产生物理稳定的ASD的重要性。通过留一法交叉验证验证的所开发模型,显示出对稳定性趋势的良好预测性。因此,用于制造微阵列的高通量二维喷墨打印技术被证明对于评估药物 - 聚合物结晶起始风险和预测稳定性结果很有价值。总之,本研究展示了一种固体分散体制剂物理稳定性筛选的新方法,提高了效率,最小化了材料需求,并扩大了评估的样品范围。我们的研究结果提供了对影响ASD稳定性的关键物理化学性质的见解,为开发稳定的ASDs取得了重大进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8b2/11707727/47d5fdb10879/mp4c00955_0001.jpg

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