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用于预测中药生物活性成分的活细胞提取及高效液相色谱-质谱联用分析

Live cell extraction and HPLC-MS analysis for predicting bioactive components of traditional Chinese medicines.

作者信息

Li Song-Lin, Li Ping, Sheng Liang-Hong, Li Rui-Yan, Qi Lian-Wen, Zhang Lu-Yong

机构信息

Key Laboratory of Modern Chinese Medicines, Ministry of Education of PRC and Department of Pharmacognosy, China Pharmaceutical University, Nanjing 210039, China.

出版信息

J Pharm Biomed Anal. 2006 May 3;41(2):576-81. doi: 10.1016/j.jpba.2006.01.014. Epub 2006 Feb 20.

DOI:10.1016/j.jpba.2006.01.014
PMID:16488100
Abstract

A novel strategy for predicting bioactive components in traditional Chinese medicines (TCM) using live cell extraction and high performance liquid chromatography-diode array detection-mass spectrometry (HPLC-DAD-MS) analysis was proposed. The hypothesis is that when cells are incubated together with the extract of TCM, the potential bioactive components in the TCM should selectively combine with the cells, and the relative concentrations of the cell-combining components in the suspension medium should decrease, while the cell-combining components would be detectable in the extract of denatured cells. The identities of the cell-combining components could be determined by HPLC-DAD-MS analysis. Using the proposed approach, the potential bioactive components of Danggui Buxue decoction, a commonly used TCM for anaemia, and its compositions, Radix Angelica Sinensis and Radix Astragli for endothelial cells, were investigated. Six compounds in the extract of Danggui Buxue decoction were detected as the components selectively combined with endothelial cells, among them two were contributed by Radix Angelica Sinensis, and four by Radix Astragli. The identities of four of the six potential bioactive compounds were elucidated as ononoside, calycosin, 3-butylphthalide and ligustilide by HPLC-DAD-MS analysis. The results indicate that the proposed approach may be applied to predict the bioactive candidates in TCM.

摘要

提出了一种利用活细胞提取和高效液相色谱-二极管阵列检测-质谱联用(HPLC-DAD-MS)分析技术预测中药生物活性成分的新策略。其假设是,当细胞与中药提取物共同孵育时,中药中的潜在生物活性成分应会与细胞选择性结合,悬浮培养基中与细胞结合成分的相对浓度会降低,而在变性细胞提取物中可检测到与细胞结合的成分。可通过HPLC-DAD-MS分析确定与细胞结合成分的身份。采用所提出的方法,对常用治疗贫血的中药当归补血汤及其成分当归和黄芪作用于内皮细胞的潜在生物活性成分进行了研究。检测到当归补血汤提取物中的六种化合物为与内皮细胞选择性结合的成分,其中两种来自当归,四种来自黄芪。通过HPLC-DAD-MS分析阐明了六种潜在生物活性化合物中四种的身份,分别为芒柄花苷、毛蕊异黄酮、3-丁基苯酞和藁本内酯。结果表明,所提出的方法可用于预测中药中的生物活性候选成分。

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