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基于超高效液相色谱-四极杆/飞行时间质谱联用结合双荧光素酶报告基因检测、主成分分析和人工神经网络分析对五种贝母属植物的抗毒蕈碱和抗炎作用进行比较与评价

Comparison and evaluation of antimuscarinic and anti-inflammatory effects of five Bulbus fritillariae species based on UPLC-Q/TOF integrated dual-luciferase reporter assay, PCA and ANN analysis.

作者信息

Zhou Mengge, Ma Xiaoyao, Ding Guoyu, Wang Zengyong, Liu Dan, Tong Yongling, Zhou Hong, Gao Jie, Hou Yuanyuan, Jiang Min, Bai Gang

机构信息

State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, People's Republic of China.

No. 6 TCM Factory, Zhongxin Pharmaceuticals, Tianjin 300193, People's Republic of China.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Jan 15;1041-1042:60-69. doi: 10.1016/j.jchromb.2016.12.012. Epub 2016 Dec 9.

Abstract

Many species of Bulbus fritillariae are used as traditional medicines for thousands of years; however, their application is not standardized. To clarify the differences and homologies, the antimuscarinic and anti-inflammatory effects of five BM species were firstly tested and compared at cellular level. With an integrated strategy combining UPLC-Q/TOF MS, PCA and ANN analysis, the active ingredients among 28 different chemical markers were predicted and identified. SB and QB extracts showed the best antimuscarinic effects and several steroidal alkaloids, such as solanidine, contributed to this effects. However, ZB was superior to reduce the inflammatory response. Another five components were responsible by decreasing the expression of NF-κB, including puqiedine, zhepeiresinol, 2-monopalmitin, N-demethylpuqietinone, and isoverticine. More novelty, a new cluster of five BM species based on active ingredients as potential quality markers was depicted to illustrate their functions. These results of the study could make a reference for the medicinal application of BM species in clinic; and the integrated strategy provided an effective method to obtain the quality markers from medical herbs, which was helpful for the quality control of traditional medicinal products.

摘要

多种贝母属植物作为传统药物已使用了数千年;然而,它们的应用并不规范。为了阐明差异和同源性,首先在细胞水平上测试并比较了五种贝母属植物的抗毒蕈碱和抗炎作用。采用超高效液相色谱-四极杆/飞行时间质谱联用(UPLC-Q/TOF MS)、主成分分析(PCA)和人工神经网络(ANN)分析相结合的综合策略,预测并鉴定了28种不同化学标志物中的活性成分。松贝和青贝提取物表现出最佳的抗毒蕈碱作用,几种甾体生物碱,如茄啶,促成了这种作用。然而,浙贝母在减轻炎症反应方面更具优势。另外五种成分通过降低核因子κB(NF-κB)的表达发挥作用,包括蒲贝定、浙贝树脂醇、2-单棕榈酸甘油酯、去甲基蒲贝酮和异浙贝母碱。更具创新性的是,描绘了基于活性成分作为潜在质量标志物的五种贝母属植物的新聚类,以阐明它们的功能。该研究结果可为贝母属植物在临床中的药用应用提供参考;并且该综合策略提供了一种从草药中获取质量标志物的有效方法,这有助于传统药品的质量控制。

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