Correlation Analysis Between HPLC Fingerprint and Anti-inflammatory Activity of Speranskiae Tuberculatae Herba

Ge SHEN; Da-shan JING; Fei YANG; Jie CHEN; Rui GE; Guan-e YANG

doi:10.13422/j.cnki.syfjx.20191215

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Correlation Analysis Between HPLC Fingerprint and Anti-inflammatory Activity of Speranskiae Tuberculatae Herba

Resource and Quality Evaluation | 更新时间：2021-02-09

- Correlation Analysis Between HPLC Fingerprint and Anti-inflammatory Activity of Speranskiae Tuberculatae Herba
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 12, Pages: 174-180(2019)
- 作者机构：
  
  山西医科大学　药学院，太原　 030001
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20191215
  CLC： R284.2; R289; R22; R2-031
- Received：07 November 2018，
  
  Published Online：04 March 2019，
  
  Published：20 June 2019
- 稿件说明：
移动端阅览
Ge SHEN, Da-shan JING, Fei YANG, et al. Correlation Analysis Between HPLC Fingerprint and Anti-inflammatory Activity of Speranskiae Tuberculatae Herba[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(12): 174-180.
DOI：

Ge SHEN, Da-shan JING, Fei YANG, et al. Correlation Analysis Between HPLC Fingerprint and Anti-inflammatory Activity of Speranskiae Tuberculatae Herba[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(12): 174-180. DOI： 10.13422/j.cnki.syfjx.20191215.

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。

Abstract

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

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

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.

关键词

Keywords

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