A New Methodology for the Quality Evaluation of Tradi-tional Chinese Medicine –Integrated Spectrum-Effect Fin-gerprint Research

Screening for potential quality markers of Callerya nitida var. hirsutissima. Z.Wei based on components profile, pharmacokinetics, and anti-inflammatory study

Callerya nitida var. hirsutissima. Z.Wei is a classical, traditional Chinese herbal medicine mostly used to treat rheumatoid arthritis. Recent reports suggest that inconsistent and poor-quality control levels have primarily affected the therapeutic efficacy. Therefore, the aim of the current study was to investigate the active chemical ingredients, stability of components in blood, pharmacokinetics, and pharmacodynamics to specify the potential markers for quality control and quality evaluation of Callerya nitida. The active components in vitro and in vivo were obtained by ultra-high-performance liquid chromatography-mass spectrometry. Moreover, the changes of the bioactive components in the blood were monitored over time (0-24 h) in order to identify stable active components. On this basis, the pharmacokinetic characteristics of these ingredients combined with the anti-inflammatory activity were determined to screen out the potential markers for ensuring the quality control of Callerya nitida. The identified four components, such as calycosin, daidzein, formononetin, and 5-hydroxymethylfurfural, have the characteristics of intrinsic components, clearly defined structures, high exposure values, and in vivo stability, which are important for the therapeutic activity of pharmacologically active materials. Therefore, they can be used as potential markers to control the quality levels of Callerya nitida.

Identification of blood-activating components from Xueshuan Xinmaining Tablet based on the spectrum-effect relationship and network pharmacology analysis

With the aim of identifying the active components of Xueshuan Xinmaining Tablet (XXT) and discussing the potential mechanism involved, the relationship between HPLC fingerprints and its blood-activating effect were established by multivariate statistical analysis, including gray relational analysis (GRA) and partial least squares regression analysis (PLSR). Network pharmacology was used to predict the potential mechanism based on the identified active components. GRA and PLSR analysis showed close correlation between the HPLC fingerprints and blood-activating activity, and peaks P1, P3, P11, P15, P22, P34, P36, P38 and P39 might be potential anti-blood stasis components of XXT. The pharmacological verification showed that salvianic acid A (P1), rutin (P3), ginsenoside Rg1 (P11) and Rb1 (P22), cinobufagin (P36), and tanshinone I (P38) and IIA (P39) had significant blood-activating effects. Based on these seven active compounds, network pharmacology analysis indicated that the anti-blood stasis effect of XXT might be closely related to TNF, PI3K-Akt and NF-κB signaling pathways. The spectrum-effect relationship of XXT was successfully established in this study. The blood-activating components and the anti-blood stasis mechanism were revealed and predicted. These findings could also be beneficial for an exploration of the active components of TCM.

Approaches to establish Q-markers for the quality standards of traditional Chinese medicines

Traditional Chinese medicine (TCM) has played a pivotal role in maintaining the health of Chinese people and is now gaining increasing acceptance around the global scope. However, TCM is confronting more and more concerns with respect to its quality. The intrinsic "multicomponent and multitarget" feature of TCM necessitates the establishment of a unique quality and bioactivity evaluation system, which is different from that of the Western medicine. However, TCM is investigated essentially as "herbal medicine" or "natural product", and the pharmacopoeia quality monographs are actually chemical-markers-based, which can ensure the consistency only in the assigned chemical markers, but, to some extent, have deviated from the basic TCM theory. A concept of "quality marker" (Q-marker), following the "property-effect-component" theory, is proposed. The establishment of Q-marker integrates multidisciplinary technologies like natural products chemistry, analytical chemistry, bionics, chemometrics, pharmacology, systems biology, and pharmacodynamics, etc. Q-marker-based fingerprint and multicomponent determination conduce to the construction of more scientific quality control system of TCM. This review delineates the background, definition, and properties of Q-marker, and the associated technologies applied for its establishment. Strategies and approaches for establishing Q-marker-based TCM quality control system are presented and highlighted with a few TCM examples.