中国中药杂志

2020, v.45(21) 5209-5218

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甘草不同炮制品的指纹图谱研究及质量标志物预测分析
Fingerprint analysis and Q-marker prediction of processed liquorice products

孙媛;王璐;彭梅梅;李伟东;王吓长;毛春芹;陆兔林;陈丽红;秦昆明;
SUN Yuan;WANG Lu;PENG Mei-mei;LI Wei-dong;WANG Xia-chang;MAO Chun-qin;LU Tu-lin;CHEN Li-hong;QIN Kun-ming;School of Pharmacy, Nanjing University of Chinese Medicine;Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine;Nanjing Haiyuan Prepared Slices of Chinese Crude Drugs Company;

摘要(Abstract):

甘草长期以来都被视作最常用的大宗中药材之一,临床应用范围极广,无论是单用还是作为方剂入药都具有不可忽视的作用,而甘草经蜜炙之后的功效作用和化学成分会发生变化,因此有必要寻找出蜜炙前后的质量标志物,为全面评价生、炙甘草饮片的差异奠定基础。该研究通过HPLC-DAD建立生、炙甘草指纹图谱,采用多元统计分析方法主成分分析(PCA)和正交偏最小二乘分析(OPLS-DA),找出甘草炮制前后的差异性成分,结合网络药理学分析,利用Swiss Target Prediction和Metascape等数据库分析差异成分的对应靶点和通路并在Cytoscape 3.6.0软件中绘制出"成分-靶点-通路"图,预测出潜在的质量标志物。结果表明,建立的指纹图谱中成功指认出17个共有峰,筛选出7种差异成分可作为潜在质量标志物,依次为甘草皂苷G2、甘草酸、甘草素、甘草苷、异甘草苷、芹糖甘草苷和异甘草素。该研究建立的HPLC指纹图谱方法良好可行,筛选出7种可作为甘草潜在质量标志物的化学成分,有助于促进整体质量的提高,为甘草的科学应用提供更充分的理论依据。
Licorice has long been regarded as one of the most popular herbs, with a very wide clinical application range. Whether being used alone or as an ingredient in prescription, it has an important role which cannot be ignored. However, the efficacy and chemical constituents of licorice will change after honey-processing. Therefore, it is necessary to find quality markers before and after honey-processing to lay the foundation for a comprehensive evaluation of the differences between raw and processed licorice pieces. HPLC-DAD was employed to establish fingerprints of raw and processed licorice. Multivariate statistical analysis methods including principal component analysis(PCA) and orthogonal partial least squares discrimination analysis(OPLS-DA) were applied to screen out the differential components before and after processing of licorice. Based on network pharmacology, the targets and pathways corresponding to the differential components were analyzed with databases such as Swiss Target Prediction and Metascape, and the "component-target-pathway" diagram was constructed with Cytoscape 3.6.0 software to predict the potential quality markers. A total of 17 common peaks were successfully identified in the established fingerprint, and seven differential components were selected as potential quality markers(licoricesaponin G2, glycyrrhizic acid, liquiritigenin, liquiritin, isoliquiritin, liquiritin apioside and isoliquiritigenin). The HPLC fingerprint method proposed in this study was efficient and feasible. The above seven differential chemical components screened out as potential quality markers of licorice can help to improve and promote the overall quality. These researches offer more sufficient theoretical basis for scientific application of licorice and its corresponding products.

关键词(KeyWords): 甘草;蜜炙;质量标志物;指纹图谱;网络药理学
licorice;honey-processing;Q-markers;fingerprint;network pharmacology

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2018YFC1707000,2018YFC1706500)

作者(Author): 孙媛;王璐;彭梅梅;李伟东;王吓长;毛春芹;陆兔林;陈丽红;秦昆明;
SUN Yuan;WANG Lu;PENG Mei-mei;LI Wei-dong;WANG Xia-chang;MAO Chun-qin;LU Tu-lin;CHEN Li-hong;QIN Kun-ming;School of Pharmacy, Nanjing University of Chinese Medicine;Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine;Nanjing Haiyuan Prepared Slices of Chinese Crude Drugs Company;

Email:

DOI: 10.19540/j.cnki.cjcmm.20200820.302

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