Gumieniczek Anna, Berecka-Rycerz Anna, Dul Marcelina, Pryjda Aleksandra
Department of Medicinal Chemistry, Medical University of Lublin, Jaczewskiego 4, 20-090 Lublin, Poland.
Molecules. 2024 Dec 31;30(1):115. doi: 10.3390/molecules30010115.
This study represents the first-time experimental analysis of lipophilicity for antidiabetic drugs from the gliflozin class using chromatographic methods alongside computational approaches. The lipophilicity of five gliflozins (canagliflozin (CANA), dapagliflozin (DAPA), empagliflozin (EMPA), ertugliflozin (ERTU), and sotagliflozin (SOTA)) was assessed using R and log k parameters with RP8, RP18, and CN coatings, while methanol and acetonitrile were used as organic modifiers. To enhance the reliability, six reference substances with established lipophilicity values (0.62-3.5) were used for standardization. For computational analyses, the methods ALOGP, iLOGP, MLOGP, SILICOS-IT, WLOGP, XLOGP3, and Consensus. Log P were applied. Descriptive statistics, correlation analyses, and chemometric techniques were employed to compare the results. Experimental lipophilicity values showed strong correlations, indicating that R and log k are reliable parameters for evaluating the lipophilicity of these therapeutically valuable drugs. However, computational lipophilicity values were less consistent, both among themselves and compared to experimental data. Finally, the experimental lipophilicity of gliflozins was analyzed in relation to their pharmacological properties, including protein binding, renal clearance, volume of distribution, half-life, potency (IC), and lipophilic ligand efficiency (LLE). Our results allow for a confident proposal of a model to experimentally determine the lipophilicity of gliflozin drugs including new derivatives.
本研究首次采用色谱方法并结合计算方法,对格列净类抗糖尿病药物的亲脂性进行了实验分析。使用R和log k参数,以RP8、RP18和CN涂层评估了五种格列净(卡格列净(CANA)、达格列净(DAPA)、恩格列净(EMPA)、依鲁格列净(ERTU)和索格列净(SOTA))的亲脂性,同时使用甲醇和乙腈作为有机改性剂。为提高可靠性,使用了六种具有既定亲脂性值(0.62 - 3.5)的参考物质进行标准化。对于计算分析,应用了ALOGP、iLOGP、MLOGP、SILICOS - IT、WLOGP、XLOGP3和Consensus.Log P方法。采用描述性统计、相关性分析和化学计量技术对结果进行比较。实验亲脂性值显示出很强的相关性,表明R和log k是评估这些具有治疗价值药物亲脂性的可靠参数。然而,计算亲脂性值之间以及与实验数据相比,一致性较差。最后,分析了格列净的实验亲脂性与其药理特性之间的关系,包括蛋白质结合、肾清除率、分布容积、半衰期、效力(IC)和亲脂性配体效率(LLE)。我们的结果为通过实验确定包括新衍生物在内的格列净药物亲脂性的模型提供了可靠的建议。