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预测和阐明影响甲磺酸伊马替尼在脂质中溶解的因素。

Prediction and elucidation of factors affecting solubilisation of imatinib mesylate in lipids.

机构信息

Department of Pharmaceutics, PSG College of Pharmacy, Peelamedu, Coimbatore, India.

Department of Pharmacology, PSG College of Pharmacy, Peelamedu, Coimbatore, 641004, India.

出版信息

Colloids Surf B Biointerfaces. 2019 Feb 1;174:443-450. doi: 10.1016/j.colsurfb.2018.11.033. Epub 2018 Nov 17.

Abstract

The physico-chemical properties of lipids influencing the solubilisation of imatinib mesylate (IM) in lipid matrix were evaluated and a statistical model to predict the same has been derived in the present study. After experimental quantification of IM solubility in various lipids, Hansen Hildebrand's total solubility parameters were calculated in order to study the role of various forces connected to lipid-drug interaction. To develop a relationship between the various descriptors of the lipids and experimental solubility of IM in lipids (% w/w), quantitative structure-solubility relationship (QSSR) was used. To generate equations that can predict the solubility of IM in lipids (%w/w), multiple linear regression was used. Amongst the various lipids tested, glyceryl monostearate and behenic acid solubilised the highest (6.19 ± 0.22%) and lowest (0.01 ± 0.01%) amounts of IM respectively. Our results suggested that alkyl chain length, polarity of the lipids, index of cohesive interaction in solids, estimated number of hydrogen bonds that would be accepted by the solute from water molecules in an aqueous solution, estimated number of hydrogen bonds that would be donated by the solute to water molecules in an aqueous solution and solvent accessible surface area collectively play a significant role in solubilising IM in the lipids. The equation developed could predict the solubility of IM in lipids with good accuracy (R = 0.912).

摘要

本研究评估了影响甲磺酸伊马替尼(IM)在脂质基质中溶解的物理化学性质,并得出了预测该性质的统计模型。在对各种脂质中 IM 溶解度进行实验量化后,计算了汉森 Hildebrand 总溶解度参数,以研究与脂质-药物相互作用相关的各种力的作用。为了在各种脂质描述符和 IM 在脂质中的实验溶解度(%w/w)之间建立关系,使用了定量结构-溶解度关系(QSSR)。为了生成可以预测 IM 在脂质中的溶解度(%w/w)的方程,使用了多元线性回归。在所测试的各种脂质中,单硬脂酸甘油酯和山嵛酸分别溶解了最高(6.19±0.22%)和最低(0.01±0.01%)量的 IM。我们的结果表明,烷基链长度、脂质的极性、固体内的内聚相互作用指数、在水溶液中溶质从水分子中接受的氢键估计数、在水溶液中溶质向水分子捐赠的氢键估计数和溶剂可及表面积共同在 IM 在脂质中的溶解中发挥重要作用。所开发的方程可以很好地预测 IM 在脂质中的溶解度(R=0.912)。

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