Alia Joseph D, Karl Sheila, Kelly Tyler D
Division of Science and Mathematics, University of Minnesota Morris, 600 E 4th Street, Morris, Minnesota 56267, United States.
ACS Omega. 2020 Mar 23;5(12):6500-6515. doi: 10.1021/acsomega.9b04140. eCollection 2020 Mar 31.
According to the WHO, artemisinin-based combination therapies (ACTs) have been integral to the recent reduction in deaths due to malaria. ACT-resistant strains are an emerging problem and have evolved altered developmental stages, reducing exposure of the most susceptible stages to artemisinin drugs in popular ACTs. Lipophilicity, log , is a guide in understanding and predicting pharmacokinetic properties such as terminal half-life which alters drug exposure. Consistent log values are not necessarily available for artemisinin derivatives designed to extend terminal half-life, increase bioavailability, and reduce neurotoxicity. For other drugs used in ACTs, an assortment of experimental and computational log values are available in the literature and in some cases, do not account for subtle but important differences between closely related structures such as between diastereomers. Quantum chemical methods such as density functional theory (DFT) used with an implicit solvent model allow for consistent comparison of physical properties including log and distinguish between closely related structures. To this end, DFT, B3LYP/6-31G(d), with an implicit solvent model (SMD) was used to compute Δ and Δ for 1-octanol-water and olive oil-water partitions, respectively, for 21 antimalarial drugs: 12 artemisinin-based, 4 4-aminoquinolines and structurally similar pyronaridine, and 4 amino alcohols. The computed Δ was close to Δ calculated from experimental log values from the literature where available, with a mean signed error of 2.3 kJ/mol and mean unsigned error of 3.7 kJ/mol. The results allow assignment of log for α-and β-diastereomers of arteether, and prediction of log for β-DHA and five experimental drugs. Linear least square analysis of log and log versus terminal elimination half-life showed strong linear relationships, once the data points for the 4-aminoquinoline drugs, mefloquine and pyronaridine were found to follow their own linear relationship, which is consistent with their different plasma protein binding. The linear relationship between the computed log and terminal elimination half-life was particularly strong, = 0.99 and = 467, and can be interpreted in terms of a simple pharmacokinetic model. Terminal elimination half-life for β-DHA and four experimental artemisinin drugs were estimated based on this linear relationship between log and terminal . The computed log and log values for epimers α- and β-DHA and α and β-arteether provide physical data that may be helpful in understanding their different pharmacokinetics and activity based on their different molecular geometries. Relative solubility of quinine and quinidine are found to be sensitive to thermal corrections to enthalpy and to vibrational entropy and do not follow the general trend of longer terminal with greater predicted log . Geometric relaxation of α- and β-DHA in solvent and inclusion of thermal correction for enthalpy and entropy results in correct prediction that α-DHA is favored in aqueous environments compared to β-DHA. Predictions made regarding experimental drugs have implications regarding their potential use in response to artemisinin drug-resistant strains.
根据世界卫生组织的说法,以青蒿素为基础的联合疗法(ACTs)对于近期疟疾死亡人数的减少至关重要。对ACT产生抗性的菌株是一个新出现的问题,并且已经进化出改变的发育阶段,减少了流行的ACT中最敏感阶段接触青蒿素药物的机会。亲脂性,log ,是理解和预测药代动力学性质(如末端半衰期,其会改变药物暴露)的一个指导因素。对于旨在延长末端半衰期、提高生物利用度和降低神经毒性而设计的青蒿素衍生物,不一定能获得一致的log 值。对于ACT中使用的其他药物,文献中有各种各样的实验和计算log 值,在某些情况下,这些值没有考虑到紧密相关结构(如非对映异构体之间)的细微但重要的差异。与隐式溶剂模型一起使用的量子化学方法,如密度泛函理论(DFT),允许对包括log 在内的物理性质进行一致的比较,并区分紧密相关的结构。为此,使用具有隐式溶剂模型(SMD)的DFT,B3LYP/6 - 31G(d),分别计算21种抗疟药物在1 - 辛醇 - 水和橄榄油 - 水分配中的Δ 和Δ :12种基于青蒿素的药物、4种4 - 氨基喹啉以及结构相似的咯萘啶,还有4种氨基醇。计算得到的Δ 与根据文献中可用的实验log 值计算得到的Δ 接近,平均符号误差为2.3 kJ/mol,平均无符号误差为3.7 kJ/mol。这些结果允许确定蒿乙醚α - 和β - 非对映异构体的log ,并预测β - DHA和五种实验药物的log 。log 和log 与末端消除半衰期的线性最小二乘分析显示出很强的线性关系,一旦发现4 - 氨基喹啉药物、甲氟喹和咯萘啶的数据点遵循它们自己的线性关系,这与它们不同的血浆蛋白结合情况一致。计算得到的log 与末端消除半衰期之间的线性关系特别强, = 0.99且 = 467,并且可以根据一个简单的药代动力学模型来解释。基于log 与末端 之间的这种线性关系,估计了β - DHA和四种实验性青蒿素药物的末端消除半衰期。对非对映异构体α - 和β - DHA以及α和β - 蒿乙醚计算得到的log 和log 值提供了物理数据,这可能有助于基于它们不同的分子几何结构来理解它们不同的药代动力学和活性。发现奎宁和奎尼丁的相对溶解度对焓的热校正和振动熵敏感,并且不遵循随着预测log 增加末端 更长的一般趋势。α - 和β - DHA在溶剂中的几何弛豫以及对焓和熵的热校正导致正确的预测,即与β - DHA相比,α - DHA在水性环境中更受青睐。对实验药物的预测涉及其在应对青蒿素耐药菌株方面的潜在用途。