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天然抗癌活性化合物野靛碱 N-异黄酮与计算机模拟相结合的药代动力学、组织分布和可药性预测。

Pharmacokinetics, Tissue Distribution, and Druggability Prediction of the Natural Anticancer Active Compound Cytisine N-Isoflavones Combined with Computer Simulation.

机构信息

College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science.

College of Pharmacy, Jiangxi University of Traditional Chinese Medicine.

出版信息

Biol Pharm Bull. 2020 Jun 1;43(6):976-984. doi: 10.1248/bpb.b20-00004. Epub 2020 Mar 19.

DOI:10.1248/bpb.b20-00004
PMID:32188833
Abstract

Cytisine N-methylene-(5,7-dihydroxy-4'-methoxy)-isoflavone (CNF2) is a new compound isolated from the Chinese herbal medicine Sophora alopecuroides. Preliminary pharmacodynamic studies demonstrated its activity in inhibiting breast cancer cell metastasis. This study examined the pharmacokinetics, absolute bioavailability, and tissue distribution of CNF2 in rats, and combined computer-aided technology to predict the druggability of CNF2. The binding site of CNF2 and the breast cancer target human epidermal growth factor receptor-2 (HER2) were examined with molecular docking technology. Next, ACD/Percepta software was used to predict the druggability of CNF2 based on the quantitative structure-activity relationship (QSAR). Finally, a simple and effective HPLC method was used to determine plasma pharmacokinetics and tissue distribution of CNF2 in rats. Prediction and experimental results show that compared with the positive control HER2 inhibitor SYR127063, CNF2 has a stronger binding affinity with HER2, suggesting that its efficacy is stronger; and the structure of CNF2 complies with the Lipinski's Rule of Five and has good drug-likeness. The residence time of CNF2 in rats is less than 4 h, and the metabolic rate is relatively fast; But the absolute bioavailability of CNF2 in rats was 6.6%, mainly distributed in the stomach, intestine, and lung tissues, where the CNF2 contents were 401.20, 144.01, and 245.82 µg/g, respectively. This study constructed rapid screening and preliminary evaluation of active compounds, which provided important references for the development and further research of such compounds.

摘要

金雀花碱 N-亚甲基-(5,7-二羟基-4'-甲氧基)-异黄酮(CNF2)是从中药苦参中分离得到的一种新化合物。初步药效学研究表明其具有抑制乳腺癌细胞转移的活性。本研究考察了 CNF2 在大鼠体内的药代动力学、绝对生物利用度和组织分布,并结合计算机辅助技术预测 CNF2 的成药性。采用分子对接技术研究 CNF2 与乳腺癌靶点人表皮生长因子受体-2(HER2)的结合部位。然后,使用 ACD/Percepta 软件基于定量构效关系(QSAR)预测 CNF2 的成药性。最后,采用简单高效的 HPLC 法测定 CNF2 在大鼠体内的血浆药代动力学和组织分布。预测和实验结果表明,与阳性对照 HER2 抑制剂 SYR127063 相比,CNF2 与 HER2 具有更强的结合亲和力,提示其疗效更强;且 CNF2 的结构符合 Lipinski 的五规则,具有良好的类药性。CNF2 在大鼠体内的滞留时间小于 4 h,代谢较快;但 CNF2 在大鼠体内的绝对生物利用度为 6.6%,主要分布在胃、肠和肺组织中,其含量分别为 401.20、144.01 和 245.82μg/g。本研究构建了快速筛选和初步评价活性化合物的方法,为这类化合物的开发和进一步研究提供了重要参考。

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