Department of Physical Chemistry, Institute of Chemical Sciences, Faculty of Chemistry, Maria Curie-Sklodowska University in Lublin, Pl. M. Curie-Sklodowskiej 3, 20-031 Lublin, Poland.
Chair and Department of Pharmacognosy, Medical University of Lublin, ul. Chodzki 1, 20-093 Lublin, Poland.
Int J Mol Sci. 2020 Apr 5;21(7):2534. doi: 10.3390/ijms21072534.
As the number of central nervous system (CNS) drug candidates is constantly growing, there is a strong need for precise a priori prediction of whether an administered compound is able to cross the blood-brain barrier (BBB). The aim of this study was to evaluate the ability to cross the BBB of triterpenoid saponins occurring in roots. The research was carried out using in silico methods combined with postmortem studies on the brain tissues of mice treated with isolated astragaloside IV (AIV). Firstly, to estimate the ability to cross the BBB by the tested saponins, new quantitative structure-activity relationship (QSAR) models were established. The reliability and predictability of the model based on the values of the blood-brain barrier penetration descriptor (logBB), the difference between the -octanol/water and cyclohexane/water logP (ΔlogP), the logarithm of n-octanol/water partition coefficient (logP), and the excess molar refraction (E) were both confirmed using the applicability domain (AD). The critical leverage value h* was found to be 0.128. The relationships between the standardized residuals and the leverages were investigated here. The application of an in vitro acetylcholinesterase-inhibition test showed that AIV can be recognized as the strongest inhibitor among the tested compounds. Therefore, it was isolated for the postmortem studies on brain tissues and blood using semi-preparative HPLC with the mobile phase composed of water, methanol, and ethyl acetate (1.7:2.1:16.2 //). The results of the postmortem studies on the brain tissues show a regular dependence of the final concentration of AIV in the analyzed brain samples of animals treated with 12.5 and 25 mg/kg b.w. of AIV (0.00012299 and 0.0002306 mg, respectively, per one brain). Moreover, the AIV logBB value was experimentally determined and found to be equal to 0.49 ± 0.03.
随着中枢神经系统 (CNS) 候选药物数量的不断增加,迫切需要准确地预测给予的化合物是否能够穿过血脑屏障 (BBB)。本研究旨在评估存在于根中的三萜皂苷类化合物穿过 BBB 的能力。该研究使用了结合使用计算机模拟方法和对用分离的黄芪甲苷 (AIV) 处理的小鼠脑组织进行的死后研究。首先,为了评估测试皂苷穿过 BBB 的能力,建立了新的定量构效关系 (QSAR) 模型。基于 BBB 渗透率描述符 (logBB)、辛醇/水和环己烷/水之间的 logP 差 (ΔlogP)、正辛醇/水分配系数 (logP) 和过剩摩尔折射度 (E) 的数值的模型的可靠性和可预测性均使用适用域 (AD) 进行了确认。发现临界杠杆值 h*为 0.128。在此处研究了标准化残差与杠杆之间的关系。体外乙酰胆碱酯酶抑制试验的应用表明,AIV 可以被认为是测试化合物中最强的抑制剂。因此,它被分离出来,并用于使用包含水、甲醇和乙酸乙酯 (1.7:2.1:16.2 //) 的半制备 HPLC 对脑组织和血液进行死后研究。对用 12.5 和 25 mg/kg b.w. 的 AIV (分别为 0.00012299 和 0.0002306 mg 每一个脑) 处理的动物的脑组织进行死后研究的结果显示,AIV 在分析的脑组织样本中的最终浓度存在规律的依赖性。此外,还实验测定了 AIV 的 logBB 值,发现其等于 0.49 ± 0.03。