Department of Pharmaceutical Chemistry, PDEA's Shankarrao Ursal College of Pharmaceutical Sciences and Research Center, Kharadi, Pune, Maharashtra, 411014, India.
Department of Pharmaceutics, Satara College of Pharmacy, Satara, Maharashtra, 415004, India.
AAPS PharmSciTech. 2019 Sep 13;20(8):308. doi: 10.1208/s12249-019-1514-9.
Quantitative structure-property relationship (QSPR) approach has been widely used in predicting physicochemical properties of compounds. However, its application in the estimation of formulation properties based on the polymer used in it to achieve desired formulation characteristics is an extremely challenging process. In the present research, predictive QSPR models were developed by correlating the physicochemical properties of varying grades of cellulose ethers (hydroxypropyl methylcellulose, HPMC) with those of nateglinide (NTG) containing tablets (in vitro and in vivo properties). Sustained release tablets of NTG were prepared by using different grades and concentrations of HPMC and subsequently characterized for in vitro as well as in vivo parameters. Further, QSPR models for individual formulation property were developed by correlating the polymeric physicochemical properties with the formulation characteristics. Subsequently, a true external validation method was used to validate the predictability of developed models. The dissolution study indicated Korsmeyer-Peppas as the best fit model following non-Fickian as drug transport mechanism extending the drug release up to 12 h. In vivo studies showed limited absorption of the NTG. Developed QSPR models showed promising validated predictability for formulation characteristics. The applicability of present work in formulation development could significantly reduce the time and cost expenditure on design trials without actually formulating a delivery system.
定量构效关系 (QSPR) 方法已广泛用于预测化合物的物理化学性质。然而,将其应用于基于所用聚合物来估计制剂性质以实现所需制剂特性的过程极具挑战性。在本研究中,通过将不同等级的纤维素醚(羟丙基甲基纤维素,HPMC)的物理化学性质与含有奈格列汀(NTG)的片剂的物理化学性质相关联,开发了预测性 QSPR 模型(体外和体内性质)。使用不同等级和浓度的 HPMC 制备奈格列汀的缓释片,并对其进行体外和体内参数的特征描述。此外,通过将聚合物物理化学性质与制剂特性相关联,开发了针对个别制剂性质的 QSPR 模型。随后,使用真实的外部验证方法来验证所开发模型的可预测性。溶出度研究表明,Korsmeyer-Peppas 是最佳拟合模型,遵循非 Fickian 药物传递机制,将药物释放延长至 12 小时。体内研究表明奈格列汀的吸收有限。开发的 QSPR 模型对制剂特性具有有前途的验证可预测性。本工作在制剂开发中的应用可以大大减少设计试验的时间和成本支出,而无需实际构建输送系统。