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基于灰色关联分析探索艾纳香非挥发性部位的抗炎活性谱效关系
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  • 英文篇名:Spectrum-effect Relationship of Anti-inflammatory Active Components from Nonvolatile Fraction of Blumea balsamifera Based on Gray Correlation Analysis
  • 作者:汪洋 ; 彭潇 ; 何燕玲 ; 孙绪 ; 马雪 ; 王广成 ; 兰燕宇 ; 李勇军
  • 英文作者:WANG Yang;PENG Xiao;HE Yan-ling;SUN Xu;MA Xue;WANG Guang-cheng;LAN Yan-yu;LI Yong-jun;School of Pharmaceutical Sciences,Provincial Key Laboratory of Pharmaceutics in Guizhou Province,State Key Laboratory of Functions and Applications of Medicinal Plants,Engineering Research Center for Development and Application of Ethnic Medicine and Traditional Chinese Medicine,Ministry of Education,Guizhou Medical University;
  • 关键词:艾纳香 ; 咖啡酰基奎宁酸类 ; 抗炎 ; 灰色关联分析 ; 谱效关系 ; 指纹图谱 ; 正丁醇部位
  • 英文关键词:Blumea balsamifera;;caffeoylquinic acid derivates;;anti-inflammation;;gray correlation analysis;;spectrum-effect relationship;;fingerprint;;n-butanol site
  • 中文刊名:ZSFX
  • 英文刊名:Chinese Journal of Experimental Traditional Medical Formulae
  • 机构:贵州医科大学民族药与中药开发应用教育部工程研究中心药用植物功效与利用国家重点实验室贵州省药物制剂重点实验室药学院;
  • 出版日期:2018-09-28 16:03
  • 出版单位:中国实验方剂学杂志
  • 年:2019
  • 期:v.25
  • 基金:贵州省科技成果转化项目(20155201);; 贵州省优青项目(201511);; 贵州省创新人才团队项目(20165613/20165677)
  • 语种:中文;
  • 页:ZSFX201904028
  • 页数:7
  • CN:04
  • ISSN:11-3495/R
  • 分类号:187-193
摘要
目的:研究艾纳香非挥发性部位UPLC指纹图谱与抗炎药效之间的相关性,为明确艾纳香抗炎药效物质基础提供实验依据。方法:采用UPLC建立12批艾纳香非挥发性部位的指纹图谱,运用UPLC-Q-TOF-MS对艾纳香非挥发性部位的共有指纹峰进行指认,通过二甲苯致小鼠耳廓肿胀炎症模型获取相应的药效数据,通过灰色关联分析建立其谱效关系。结果:UPLC指纹图谱显示艾纳香非挥发性部位有14个共有峰,与抗炎药效的关联度处于0.717 1~0.550 5,各特征峰所代表的化学成分对其抗炎药效贡献的大小顺序为3号峰> 9号峰> 4号峰> 11号峰> 2号峰> 1号峰> 14号峰> 7号峰> 6号峰> 5号峰> 12号峰> 8号峰> 10号峰> 13号峰,并指认了其中9个共有峰,对抗炎药效贡献较大的前2个共有峰(3号和9号)对应的化学成分分别为3-O-咖啡酰基奎宁酸和3,5-O-二咖啡酰基奎宁酸。结论:通过谱效关系研究获得了艾纳香非挥发性部位的抗炎药效物质群,其抗炎药效是多种成分共同作用的结果,明确咖啡酰基奎宁酸类化合物为艾纳香非挥发性部位发挥抗炎药效的主要物质基础。
        Objective:To study the correlation between UPLC fingerprint of anti-inflammatory effect of active components from nonvolatile fraction of Blumea balsamifera,and to provide the basis for clarifying the antiinflammatory material basis of B.balsamifera.Method:UPLC was used to establish fingerprint of nonvolatile fraction of 12 batches of B.balsamifera and their common fingerprint peaks were identified by UPLC-Q-TOF-MS.The corresponding pharmacodynamic data were obtained by auricle swelling and inflammation model mice induced by xylene,and spectrum-effect relationship was established by gray correlation analysis.Result:A total of 14 common peaks in nonvolatile fraction of B.balsamifera were established by UPLC fingerprint and 9 common peaks of them were identified.The correlation between UPLC fingerprint and the anti-inflammatory activity was from0.717 1 to 0.550 5.The contribution of chemical compositions represented by each characteristic peak to the antiinflammatory efficacy was in the order of peak 3 > peak 9 > peak 4 > peak 11 > peak 2 > peak 1 > peak 14 > peak7 > peak 6 > peak 5 > peak 12 > peak 8 > peak 10 > peak 13,and the top two peaks with strong contribution to anti-inflammatory effect were peak 3 and peak 9,they were 3-O-caffeoylquinic acid and 3,5-di-O-caffeoylquinic acid identified by contrast reference substances,respectively.Conclusion:The active substances in nonvolatile fraction of B.balsamifera are obtained through the study on the relationship between spectrum and efficiency,and the anti-inflammatory efficacy of the nonvolatile fraction is the result of combination of various components.It is clear that the caffeoylquinic acid derivates act as predominant anti-inflammatory active substance of nonvolatile fraction of B.balsamifera.
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