Quantitative ternary network-oriented discovery of Q-markers from traditional Chinese medicine prescriptions: Bu-Zhong-Yi-Qi-Tang as a case study.

ABSTRACT

BACKGROUND: The proposal of Q-markers for traditional Chinese medicine (TCM) represents a novel avenue of research pertaining to the quality control of TCM prescriptions. However, prior exploratory studies on Q-markers with multiple properties consistently neglected the consideration of weights, hampering our ability to accurately gauge the significance of each property and potentially leading to a flawed comprehension of Q-markers. PURPOSE: In this study, a quantitative ternary network strategy was firstly proposed to visually discover the Q-markers from TCM prescriptions, and it has been successfully applied into the quality control study of Bu-Zhong-Yi-Qi-Tang (BZYQT), a classical TCM prescription. METHODS: Firstly, the contents of 34 components in BZYQT, along with the kinetic features of 17 candidate Q-markers in biosamples (plasma and small intestinal contents), were characterized by UPLC-QqQ-MS/MS, and their immunomodulatory activities in macrophages and splenic lymphocytes were also assessed. Next, the obtained data were integrated into three properties testability, bioavailability, effectiveness, and their weights were calculated using the entropy weight method to further establish a ternary network for quantitatively screening Q-markers. Subsequently, the identified Q-markers of BZYQT were utilized for the holistic quality evaluation of 36 batches of the commercial BZYQT preparation, Bu-Zhong-Yi-Qi-Pill (BZYQP) produced by three manufacturers, through similarity evaluation of the Q-marker-based fingerprint. RESULTS: Nine compounds (hesperidin, astragaloside IV, ononin, 18ß-glycyrrhizic acid, narirutin, calycosin, cimigenoside, astragaloside II, and liquiritin) showing three core properties, including testability, bioavailability, and effectiveness, were screened out as Q-markers of BZYQT based on their rankings in terms of regression area of the ternary network. Employing Q-markers as common peaks, the similarity values of 36 batches BZYQP ranged 0.914-0.998 under HPLC-UVD mode, and 0.631-1.000 under HPLC-ELSD mode, which were less than the similarity values evaluated by the conventional common peaks (HPLC-UVD mode 0.946-0.990; HPLC-ELSD mode 0.957-0.997). This observation suggests that the identified Q-markers are more representative as common peaks in chromatographic fingerprints for the holistic quality evaluation of TCM-related products from different manufacturers. CONCLUSION: The quantitative discovery of Q-markers from BZYQT laid an important foundation for holistic quality assessment of its related commercially available products, and our work offering a new strategy for ensuring the consistency and efficacy of TCM prescriptions.