Certara Predictive Technologies (CPT), Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield S1 2BJ, U.K.
Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University Medical College, Medyczna 9, 30-688 Krakow, Poland.
ACS Appl Bio Mater. 2024 Nov 18;7(11):7453-7465. doi: 10.1021/acsabm.4c01054. Epub 2024 Oct 18.
Several factors can affect drug release from polylactide coglycolide (PLGA)-based formulations, including polymer and drug properties, formulation components, manufacturing processes, and environmental or conditions. To achieve optimal release profiles for specific drug delivery applications, it is crucial to understand the mechanistic processes that determine drug release from PLGA-based formulations. In the current study, we developed a mechanistic model for the drug release of PLGA-based solid implants. The model accounts for all known critical quality attributes (CQAs) and considers the most important release rate processes, including water or dissolution medium influx into the porous structure of the implant, initial noncatalytic hydrolysis of PLGA, autocatalytic hydrolysis, dissolution of oligomers and monomers into the aqueous medium, the liberation of the trapped solid drug from the polymer matrix, dissolution of the solid drug into the wetted pore network, diffusion of the dissolved drug out of the implant, and distribution of the dissolved drug into the dissolution medium. The model has been validated using release data obtained from implants of four drugs (buserelin, afamelanotide, brimonidine, and nafarelin). The model presented in this manuscript provides valuable insights into the kinetics and mechanism of drug release from PLGA-based solid implants and has demonstrated the potential for optimizing formulation design. The release model, coupled with physiologically based pharmacokinetic (PBPK) modeling, can predict the performance of implants and can be used to support bioequivalence studies in a drug development program.
多种因素会影响聚乳酸-共乙醇酸(PLGA)基制剂的药物释放,包括聚合物和药物性质、制剂成分、制造工艺以及环境或条件。为了实现特定药物递送应用的最佳释放曲线,了解决定 PLGA 基制剂药物释放的机制过程至关重要。在本研究中,我们开发了一种用于 PLGA 基固体植入物药物释放的机制模型。该模型考虑了所有已知的关键质量属性(CQAs),并考虑了最重要的释放率过程,包括水或溶解介质流入植入物的多孔结构、PLGA 的初始非催化水解、自催化水解、低聚物和单体溶解在水性介质中、被困固体药物从聚合物基质中的释放、固体药物在湿孔网络中的溶解、溶解药物从植入物中的扩散以及溶解药物在溶解介质中的分布。该模型已使用来自四种药物(布舍瑞林、阿法美拉汀、溴莫尼定和那法瑞林)的植入物的释放数据进行了验证。本文提出的模型提供了对 PLGA 基固体植入物药物释放动力学和机制的深入了解,并展示了优化制剂设计的潜力。该释放模型结合基于生理的药代动力学(PBPK)建模,可以预测植入物的性能,并可用于支持药物开发计划中的生物等效性研究。