Yuan Jinbin, Chen Yang, Liang Jian, Wang Chong-Zhi, Liu Xiaofei, Yan Zhihong, Tang Yi, Li Jiankang, Yuan Chun-Su
Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China; Tang Center for Herbal Medicine Research, and Department of Anesthesia & Critical Care, The University of Chicago, Chicago, IL, 60637, USA.
Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China.
J Chromatogr B Analyt Technol Biomed Life Sci. 2016 Dec 1;1038:1-11. doi: 10.1016/j.jchromb.2016.10.014. Epub 2016 Oct 17.
Ginseng is one of the most widely used natural medicines in the world. Recent studies have suggested Panax ginseng has a wide range of beneficial effects on aging, central nervous system disorders, and neurodegenerative diseases. However, knowledge about the specific bioactive components of ginseng is still limited. This work aimed to screen for the bioactive components in Panax ginseng that act against neurodegenerative diseases, using the target cell-based bioactivity screening method. Firstly, component analysis of Panax ginseng extracts was performed by UPLC-QTOF-MS, and a total of 54 compounds in white ginseng were characterized and identified according to the retention behaviors, accurate MW, MS characteristics, parent nucleus, aglycones, side chains, and literature data. Then target cell-based bioactivity screening method was developed to predict the candidate compounds in ginseng with SH-SY5Y cells. Four ginsenosides, Rg, Rh, Ro, and Rd, were observed to be active. The target cell-based bioactivity screening method coupled with UPLC-QTOF-MS technique has suitable sensitivity and it can be used as a screening tool for low content bioactive constituents in natural products.
人参是世界上使用最广泛的天然药物之一。最近的研究表明,人参对衰老、中枢神经系统疾病和神经退行性疾病具有广泛的有益作用。然而,关于人参具体生物活性成分的知识仍然有限。这项工作旨在使用基于靶细胞的生物活性筛选方法,筛选人参中对抗神经退行性疾病的生物活性成分。首先,通过超高效液相色谱-四极杆飞行时间质谱(UPLC-QTOF-MS)对人参提取物进行成分分析,并根据保留行为、精确分子量、质谱特征、母核、苷元、侧链和文献数据,对白参中的54种化合物进行了表征和鉴定。然后开发了基于靶细胞的生物活性筛选方法,以用人神经母细胞瘤细胞(SH-SY5Y细胞)预测人参中的候选化合物。观察到四种人参皂苷Rg、Rh、Ro和Rd具有活性。基于靶细胞的生物活性筛选方法与UPLC-QTOF-MS技术相结合具有合适的灵敏度,可作为天然产物中低含量生物活性成分的筛选工具。