Research on Q-markers of Polygoni Perfoliati Herba based on analytic hierarchy process-entropy weight method and fingerprints.
10.19540/j.cnki.cjcmm.20220117.201
- Author:
Ding-Qiao XU
1
;
Lu HUANG
1
;
Shi-Jun YUE
1
;
Yan-Yan CHEN
1
;
Rui-Jia FU
1
;
Yu-Ping TANG
1
Author Information
1. Key Laboratory of Shaanxi Administration of Traditional Chinese Medicine for TCM Compatibility, Shaanxi University of Chinese Medicine Xi'an 712046, China.
- Publication Type:Journal Article
- Keywords:
Polygoni Perfoliati Herba;
analytic hierarchy process-entropy weight method;
anti-inflammatory activity;
fingerprints;
network pharmacology;
quality marker(Q-marker)
- MeSH:
Analytic Hierarchy Process;
Chromatography, High Pressure Liquid;
Drugs, Chinese Herbal/pharmacology*;
Entropy;
Quercetin
- From:
China Journal of Chinese Materia Medica
2022;47(7):1776-1789
- CountryChina
- Language:Chinese
-
Abstract:
The potential quality markers(Q-markers) of Polygoni Perfoliati Herba were studied based on analytic hierarchy process(AHP)-entropy weight method(EWM), network pharmacology, and spectrum-effect relationship analysis. The AHP-EWM was used for quantitative identification of the Q-markers. To be specific, AHP was applied for the weight analysis of the validity, testability, and specificity of the first-level indexes, and EWM for the analysis of the second-level indexes supported by literature and experimental data. Based on literature and network pharmacology, the validity analysis was to study the component-target-disease-efficacy network, and select the components with the strongest correlation with the efficacy of clearing heat and removing toxin, diuresis and alleviating edema, and relieving cough. For the testability analysis, the high performance liquid chromatography(HPLC) and literature research were used to determine the 10 components in Polygoni Perfoliati Herba, and the fingerprints of Polygoni Perfoliati Herba were established at the same time. The specificity analysis was based on the statistics of the number of plants in which the components existed. Thereby, the 11 compounds: quercetin, oleanolic acid, ellagic acid, gallic acid, kaempferol, rutin, esculetin, quercetin-3-O-glucuronide, ursolic acid, protocatechuic acid, and ferulic acid, were identified as potential Q-markers. The 11 compounds were identified to have high anti-inflammatory activity, indicating that the 11 Q-markers may be the functional material basis. The result in this study is expected to serve as a reference for the quality control of Polygoni Perfoliati Herba.
