论文部分内容阅读
ECV304细胞在C6细胞的诱导下生长,通过细胞培养时间优化、渗透系数测定和细胞形态学观察等,建立ECV304/C6共培养血脑屏障(BBB)药物筛选模型.将该模型应用于从丹参提取液中筛选可能作用于中枢神经系统(CNS)的活性成分,结合液相色谱-质谱联用技术(LC-MS)分析,发现丹参提取液中至少有16种成分能够穿越BBB模型,其中4种成分被确认为隐丹参酮、丹参酮Ⅰ、丹参素和原儿茶酸.通过定量构效关系(QASR)分析,进一步从理论上证明所确认的4种化合物均符合CNS靶向药物的特征.研究结果表明,ECV304/C6共培养BBB模型能够在模拟生理状态下从中药复杂体系中筛选分离跨越BBB的活性成分组,可用于CNS药物开发的早期快速筛选,服务于中药现代化研究.
ECV304 cells were induced by C6 cells, and ECV304 / C6 co-cultured blood-brain barrier (BBB) drug screening model was established by cell culture time optimization, osmotic coefficient determination and cell morphology observation.The ECV304 cells were extracted from Salvia miltiorrhiza Liquid screening of active ingredients that may act on the central nervous system (CNS), combined with liquid chromatography-mass spectrometry (LC-MS) analysis found that at least 16 components of Salvia extract can cross the BBB model, of which 4 The constituents were identified as cryptotanshinone, tanshinoneⅠ, danshensu and protocatechuic acid.Furthermore, QASR analysis confirmed that the four compounds were all confirmed to be in line with the characteristics of CNS-targeted drugs.Results The results showed that the ECV304 / C6 co-cultured BBB model can screen and isolate the active component groups crossing the BBB from the complex Chinese medicine system under the simulated physiological conditions, which can be used for the early rapid screening of CNS drug development and serve the modernization research of traditional Chinese medicine.