珍珠透骨草HPLC指纹图谱及抗炎活性的谱效关系
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摘要
目的:建立珍珠透骨草药材的HPLC指纹图谱,并研究其与抗炎活性之间的谱效关系。方法:采用HPLC法建立珍珠透骨草的指纹图谱;在相似度评价基础上,结合聚类分析(HCA)和主成分分析(PCA),对其中的共有峰进行评价;建立二甲苯致小鼠耳肿胀模型考察珍珠透骨草的抗炎活性,灰色关联度分析(GRA)和偏最小二乘回归分析(PLSR)研究谱效关系。结果:建立了珍珠透骨草的HPLC指纹图谱,确定了其中24个色谱峰为共有峰,相似度除了S2和S5,均在0. 907以上,通过对照品比对法指认了其中4个峰。HCA结果表明,全部样品被聚为四类,与PCA结果基本一致,结合偏最小二乘法判别分析(PLS-DA)发现,5,6和7号峰为造成珍珠透骨草样品组间差异的3个标志性化合物。不同来源的珍珠透骨草药材均有不同程度的抗炎活性,谱效关系表明,1,4,5,6和10号峰是与抗炎活性关联较大的正相关峰。结论:建立了珍珠透骨草药材的HPLC指纹图谱,并确定1,4,5,6和10号峰为5个与抗炎活性密切相关的成分,为药材质量控制提供更全面的参考。
Objective: The aim of this study was to investigate high performance liquid chromatography( HPLC) fingerprint, anti-inflammatory activity as well as the correlation between them in Speranskiae Tuberculatae Herba. Method: Fingerprint by HPLC was established on Speranskiae Tuberculatae Herba from different sources. The common peaks were evaluated on the basis of similarity evaluation together with hierarchical cluster analysis( HCA) and principal component analysis( PCA). Ear swelling induced by xylene in mice model was used to study the anti-inflammatory activity. Grey relational analysis( GRA) and partial least square regression analysis( PLSR) were used to study the relationship between the HPLC fingerprint and the anti-inflammatory activity. Result: The HPLC fingerprint of Speranskiae Tuberculatae Herba was established and 24 common peaks were determined, with the similarity above 0. 907( except for S2 and S5). Four peaks were identified by comparing to reference substances. The result of HCA showed that Speranskiae Tuberculatae Herba from different sources were clustered into four categories,in consistent with the result of PCA. Combined with discriminant analysis of partial least squares discrimination analysis( PLS-DA),three signature compounds represented by 5,6,7 peaks were responsible for the differences between groups. Different sources of Speranskiae Tuberculatae Herba differed in anti-inflammatory activity. The sectrum-activity relationship showed that the peaks 1,4,5,6,and 10 were positively correlated with the anti-inflammatory activity. Conclusion: The HPLC fingerprint of Speranskiae Tuberculatae Herba was established,and 5 components closely related to the anti-inflammatory activity were determined. The present study provide more comprehensive reference for quality control of the Speranskiae Tuberculatae Herba.
Objective: The aim of this study was to investigate high performance liquid chromatography( HPLC) fingerprint, anti-inflammatory activity as well as the correlation between them in Speranskiae Tuberculatae Herba. Method: Fingerprint by HPLC was established on Speranskiae Tuberculatae Herba from different sources. The common peaks were evaluated on the basis of similarity evaluation together with hierarchical cluster analysis( HCA) and principal component analysis( PCA). Ear swelling induced by xylene in mice model was used to study the anti-inflammatory activity. Grey relational analysis( GRA) and partial least square regression analysis( PLSR) were used to study the relationship between the HPLC fingerprint and the anti-inflammatory activity. Result: The HPLC fingerprint of Speranskiae Tuberculatae Herba was established and 24 common peaks were determined, with the similarity above 0. 907( except for S2 and S5). Four peaks were identified by comparing to reference substances. The result of HCA showed that Speranskiae Tuberculatae Herba from different sources were clustered into four categories,in consistent with the result of PCA. Combined with discriminant analysis of partial least squares discrimination analysis( PLS-DA),three signature compounds represented by 5,6,7 peaks were responsible for the differences between groups. Different sources of Speranskiae Tuberculatae Herba differed in anti-inflammatory activity. The sectrum-activity relationship showed that the peaks 1,4,5,6,and 10 were positively correlated with the anti-inflammatory activity. Conclusion: The HPLC fingerprint of Speranskiae Tuberculatae Herba was established,and 5 components closely related to the anti-inflammatory activity were determined. The present study provide more comprehensive reference for quality control of the Speranskiae Tuberculatae Herba.
引文
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[14]潘杰,刘德胜,颜贵明.数据分析应用于中药谱效关系中的研究进展[J].中医药学报,2018,46(4):119-122.
[15]张可佳,孙宁宁,杨雪,等. UPLC结合化学计量学方法的胡黄连指纹图谱研究[J].中草药,2018,49(3):685-693.
[16]马玉玲,薛志远,高霞,等.基于化学计量学的川木香抗炎活性谱效关系研究[J].分析测试技术与仪器,2016,22(1):15-22.
[17]于萍,李克.使用Microsoft Excel进行数据的灰关联分析[J].微型电脑应用,2011,27(3):29-30,37.
[18]李生茂,刘琳,谭睿外,等.市售沙棘HPLC指纹图谱一致性及抗氧化活性谱效关系[J].中国实验方剂学杂志,2016,22(11):43-48.
[19]王惠文.偏最小二乘回归的线性与非线性方法[M].北京:国防工业出版社,2006.
[20]相美容,王孝霞,孙启慧,等.细辛不同极性部位HPLC指纹图谱与其镇痛抗炎活性的谱效关系研究[J].辽宁中医杂志,2016,43(12):2603-2607.
[21]姜红,史亚军,赵生玉,等.基于偏最小二乘法对三果汤抗氧化作用谱-效关系的分析[J].中国实验方剂学杂志,2018,24(3):8-12.
[2]王璇,崔景荣,肖志平,等.透骨草类药材抗炎镇痛作用的比较[J].北京医科大学学报,1998,30(2):145-148.
[3]李会端,乔爱平.酶辅助法提取透骨草中总黄酮及抗氧化性研究[J].天然产物研究与开发,2015,27(3):432-437.
[4]杨俊旺,梁永录,李文广,等.吡啶-2,6-(1H,3H)二酮生物碱对ADP,AA,Collagen诱导的兔血小板聚集的影响[J].中国药理学通报,1998,14(1):24-26.
[5]迟玉明,阎文玫,李家实.透骨草的原植物及商品调查[J].中国中药杂志,1990,15(5):6-9,61.
[6]王璇,蔡少青,张玉华,等.中药透骨草的商品基源研究[J].北京医科大学学报,1997,29(3):241-242,248.
[7]索金红,伊勋非.珍珠透骨草的化学成分及药理作用[J].内蒙古民族大学学报:自然科学版,2009,24(5):506-508.
[8]山西省食品药品监督管理局.山西省中药材中药饮片标准[M].北京:科学出版社,2011.
[9]吴亚超,刘佩文,李德坤,等.不同产地栀子的UPLC指纹图谱[J].中国实验方剂学杂志,2018,24(2):74-78.
[10]刘昌孝,陈士林,肖小河,等.中药质量标志物(QMarker):中药产品质量控制的新概念[J].中草药,2016,47(9):1443-1457.
[11]谌晓.论中药质量控制与评价模式的创新与发展[J].临床医药文献电子杂志,2017,4(31):6132,6134.
[12]谷海水,谷卫华.浅谈中药质量控制与评价模式的创新与发展[J].当代医药论丛,2014,12(12):45.
[13]钟凌云,王婷婷,徐婷.“谱-效-性”关联分析探讨不同姜汁炮制黄连的作用差异[J].中国实验方剂学杂志,2018,24(20):7-13.
[14]潘杰,刘德胜,颜贵明.数据分析应用于中药谱效关系中的研究进展[J].中医药学报,2018,46(4):119-122.
[15]张可佳,孙宁宁,杨雪,等. UPLC结合化学计量学方法的胡黄连指纹图谱研究[J].中草药,2018,49(3):685-693.
[16]马玉玲,薛志远,高霞,等.基于化学计量学的川木香抗炎活性谱效关系研究[J].分析测试技术与仪器,2016,22(1):15-22.
[17]于萍,李克.使用Microsoft Excel进行数据的灰关联分析[J].微型电脑应用,2011,27(3):29-30,37.
[18]李生茂,刘琳,谭睿外,等.市售沙棘HPLC指纹图谱一致性及抗氧化活性谱效关系[J].中国实验方剂学杂志,2016,22(11):43-48.
[19]王惠文.偏最小二乘回归的线性与非线性方法[M].北京:国防工业出版社,2006.
[20]相美容,王孝霞,孙启慧,等.细辛不同极性部位HPLC指纹图谱与其镇痛抗炎活性的谱效关系研究[J].辽宁中医杂志,2016,43(12):2603-2607.
[21]姜红,史亚军,赵生玉,等.基于偏最小二乘法对三果汤抗氧化作用谱-效关系的分析[J].中国实验方剂学杂志,2018,24(3):8-12.