Discrimination and identification of Q-markers based on 'Spider-web' mode for quality control of traditional Chinese medicine

Background: The safety and effectiveness of traditional Chinese medicine (TCM) in clinical practice is directly related to the quality of TCM. And, the quality control of TCM is a pivotal issue to the quality of TCM, but also an obstacle impeding the modernization of TCM. Purpose: The purpose of this work is to compile and develop a strategy based on discrimination and identification of quality markers (Q-markers) for quality control of TCM. Methods: Mainly established by seven variables derived from four dimensions including content, stability, pharmacokinetics and pharmacology, the 'Spider-web' mode was undertaken to assess the Q-marker property of candidate compounds originated from TCM by taking regression area (A) and coefficient variation (CV) of the tested compounds into account. The importance index (ImI), ImI = A x 1/CV, was suggested to focus Q-markers. Results: The compounds with larger regression area (A) and less coefficient variation (CV) are preferentially adopted as Q-markers, which should possess the satisfactory properties of content, stability, pharmacokinetics and pharmacological activity. To the contrary, the compounds are excluded on the grounds of the unsatisfactory Q-markers' property, less regression area (A) and larger coefficient variation (CV), which cannot represent the quality of TCM. Conclusions: The 'Spider-web' mode can filter out the redundant constituents and focus on the key indexes of quality control - Q-markers. The screened Q-markers possess the optimal integrated properties of content, stability, pharmacokinetics and pharmacology among the numerous and complicated ingredients of TCM, which can comprehensively characterize inherent quality of TCM. In summary, the novel strategy established in this work provides a valuable perspective for the quality control of TCM.