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1.
Chinese Journal of Experimental Traditional Medical Formulae ; (24): 266-274, 2022.
Article in Chinese | WPRIM | ID: wpr-940578

ABSTRACT

Herb pair, a common form of compounding in Chinese medicinal prescriptions, reflects the experience of pharmacists in clinical medication in the past. It is characterized by simple composition while has the basic characteristics of Chinese medicine compounding. The combination of two medicinal herbs can enhance effect or reduce toxicity. Coptidis Rhizoma (CR) has the effects of clearing heat, drying dampness, purging fire, and removing toxin. Euodiae Fructus (EF) is acrid, bitter, and hot-natured, which can not only warm the Yang Qi in spleen and stomach to dissipate cold and relieve pain, but also descend stomach Qi and prevent vomiting. Furthermore, it can warm the liver and kidney. CR and EF form a typical cold-heat herb pair, which oppose and yet also complement each other. Specifically, their cold and heat natures interact with each other to clear liver fire, harmonize stomach for descending adverse Qi, relieve depression, and dissipate mass. CR clears the intestine and stops dysentery, while EF warms the middle and promotes the circulation of Qi. The combination of them can thus clear heat, dry dampness, and relieve pain. Modern pharmacological studies have demonstrated that CR-EF has not only significant efficacy against digestive system diseases but also good anti-cancer, anti-inflammatory, anti-ulcer, and lipid-lowering activities. Therefore, the article summarized the effect enhancement and toxicity reduction of the herb pair at the levels of cellular molecule, isolated organ, and whole animal, and clarified the mechanism of its pharmacological action. It will provide a theoretical basis for further development and clinical use of the herb pair.

2.
Chinese Journal of Natural Medicines (English Ed.) ; (6): 481-493, 2022.
Article in English | WPRIM | ID: wpr-939913

ABSTRACT

TCM formulae are the important guidances for clinical application of traditional Chinese medicines, which follow the principles of diagnosis and treatment in TCM. Elucidating the bio-active components of TCM formulae is the key to the modernization and internationalization of traditional Chinese medicines. With the rapid development of modern instruments and technology, many new theories, methods and strategies are emerging, which upgrade the research of TCM formulae into a higher level. Only when the medicinal efficacy, bio-active components, function mechanism of TCM formulae are understood, we can guarantee TCM safety and quality control. In this paper, we summarized the latest modern research thoughts and methods on bio-active components of TCM formulae including formula decomposition study, serum pharmacology and serum pharmacochemistry, association analysis, biochromatography, network pharmacology, metabolomics and proteomics, so as to provide reference for the research and development of TCM in the future.


Subject(s)
Biological Products , Drugs, Chinese Herbal/chemistry , Medicine, Chinese Traditional/methods , Metabolomics , Proteomics
3.
China Journal of Chinese Materia Medica ; (24): 1776-1789, 2022.
Article in Chinese | WPRIM | ID: wpr-928174

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.


Subject(s)
Analytic Hierarchy Process , Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/pharmacology , Entropy , Quercetin
4.
China Journal of Chinese Materia Medica ; (24): 2710-2717, 2021.
Article in Chinese | WPRIM | ID: wpr-887941

ABSTRACT

Qixuehe Capsules is a compound Chinese patent medicine developed for treating the disorder of Qi and blood(a common etiology of gynecological disease), which has remarkable effects on smoothing liver and regulating Qi, activating blood circulation, and relieving pain. However, due to its complex prescriptions(15 herbs) and multiple effects, the quality control of Qixuehe Capsules has always been a bottleneck problem limiting its sustainable development. Therefore, this study adopted the traditional Chinese medicine Q-markers quantitative identification system established previously by our research group based on the combination of analytic hierarchy process and entropy weight methods. With the different effects of Qixuehe Capsules as the entry point, the comprehensive scores of chemical ingre-dients in Qixuehe Capsules under the items of effectiveness(smoothing liver and regulating qi, activating blood circulation, and relieving pain), testability and specificity were calculated and integrated, respectively. Subsequently, through the analysis of compatibility relationship of Qixuehe Capsules, 15 active ingredients with high comprehensive scores were found to be the top Q-mar-kers of Qixuehe Capsules, including ferulic acid, quercetin, caffeic acid, kaempferol, rutin, Z-ligustilide, senkyunolide Ⅰ, vanillic acid, protocatechuic acid, chlorogenic acid, rosmarinic acid, senkyunolide A, gallic acid, tetrahydropalmatine and eugenol. Collectively, this study not only provided scientific evidence for further research on the improvement and standardization of quality standards of Qixuehe Capsules but also provided methodological references for the quantitative identification of Q-markers of multi-effect traditional Chinese medicine formulae.


Subject(s)
Analytic Hierarchy Process , Capsules , Drugs, Chinese Herbal , Entropy , Medicine, Chinese Traditional
5.
Acta Pharmaceutica Sinica ; (12): 296-305, 2021.
Article in Chinese | WPRIM | ID: wpr-872626

ABSTRACT

The quality markers (Q-markers) of traditional Chinese medicine (TCM) have become a topic of interest in TCM research in recent years. Nonetheless, there is still no consensus on how to scientifically characterize TCM Q-markers. Our study establishes an identification method for TCM Q-markers based on the analytical hierarchy process (AHP) and the entropy weight comprehensive method. By constructing an evaluation system encompassing the target layer, the factor layer and the control layer, AHP can be used to analyze the weight of three core TCM quality attributes, including effectiveness, testability and specificity. Following that, the entropy weight method is employed to analyze the specific indicators for each attribute based on the literature and experimental data. Finally, the comprehensive weight of each index is obtained by combining the two weights, and the comprehensive weight and the specific value of each component is multiplied and summed to obtain the integrated score ranking, and thereby identify the TCM Q-markers. Taking Shaoyao Gancao decoction as an example, the analysis revealed that the top 8 components are as follows: paeoniflorin > quercetin > albiflorin > glycyrrhizic acid > naringenin > liquiritin > oxypaeoniflorin > benzoylpaeoniflorin, and can be identified as Q-markers of Shaoyao Gancao decoction. This study not only provides support for the establishment of quality standards and process quality control of TCM formulae, but also provides innovative ideas and methods for quantitative evaluation and accurate identification of TCM Q-markers.

6.
China Journal of Chinese Materia Medica ; (24): 5545-5554, 2021.
Article in Chinese | WPRIM | ID: wpr-921736

ABSTRACT

The potential quality markers( Q-markers) of Eupatorium lindleyanum were studied with analytic hierarchy process(AHP)-entropy weight method(EWM) and network pharmacological method. Based on the concept of Q-markers of traditional Chinese medicine, AHP-EWM was employed to quantitatively identify the Q-markers of E. lindleyanum. AHP method was applied to the weight analysis of the validity, testability, and specificity of the first-level indexes, and EWM method was used to analyze the secondlevel indexes supported by literature and experimental data. At the same time, based on the theory and method of network pharmacology, the component-target-disease-efficacy network of E. lindleyanum was built, and the components most closely related to the efficacy of resolving phlegm and relieving cough and asthma were screened out. Through the integrated analysis of the results obtained with AHP-EWM and network pharmacological method, 13 compounds including rutin, quercetin, nepetin, cirsiliol, luteolin, hyperoside,isoquercitrin, kaempferol, caffeic acid, eupalinolide K, eupalinolide A, eupalinolide B, and eupalinolide C were comprehensively identified as the potential Q-markers of E. lindleyanum. The results provide a basis for the quality control of E. lindleyanum.


Subject(s)
Analytic Hierarchy Process , Drugs, Chinese Herbal , Entropy , Eupatorium , Network Pharmacology , Rutin
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