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A three-dimensional integration strategy for Q-markers identification: Taken Euphorbia Pekinensis Radix as an example
Xiao-Tao Zeng1, Yan-Yan Chen2, Shi-Jun Yue1
1Key Laboratory of Shaanxi Administration of Traditional Chinese Medicine for TCM Compatibility, and Shaanxi Key Laboratory of New Drugs and Chinese Medicine Foundation Research, and State Key Laboratory of Research & Development of Characteristic Qin Medicine Resources (Cultivation), and Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Shaanxi University of Chinese Medicine, Shaanxi Province, PR China.
Abstract:
Euphorbia Pekinensis Radix (EPR) is an important antitumor medicinal resource. However, quality control of EPR has not been well established due to the lack of quality markers (Q-markers) research. In this study, a three-dimensional integration strategy was developed to systematically characterize Q-markers and this method was successfully applied to identify Q-markers of EPR. Firstly, three core quality attributes-effectiveness, testability and specificity-were considered as three dimensions, and the weights of each dimension were calculated by analytical hierarch process. Then, the values of each dimension were evaluated by multi-indicators. For EPR with antitumor activity, cytotoxic assay and network pharmacology, UPLC analysis and literature search, compound belonging search were employed to calculate the values of effectiveness, testability and specificity, respectively. Finally, the weights and values were multiplied as the scores of each component on that dimension, and the total scores of the three dimensions were further integrated based on the radar plot and expressed as regression area, by which Q-markers were quantified and visualized. Five components were identified as Q-markers of EPR due to their high-ranked antitumor capacity, ease of measurement and excellent specificity, which laid an important foundation for the quality control improvement of EPR. Furthermore, the integrated strategy summarized here is helpful for the quantitative identification of Q-markers and promote the quality standard of traditional Chinese medicine.

