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Aim of the study: The research group proposed that the mechanism of “Feature Identification based Quality Assessment” (FIQA) of Traditional Chinese Medicine (TCM) can be explained according to the relationship between the “Feature” of TCM and the Pharmacodynamic Components representing the holistic effect of TCM. Gastrodiae Rhizoma (GR) was selected as the research object to reveal the close relationship between “Feature” and the quality of TCM. Materials and methods: In this study, the “Feature” such as “Shape”, “Color”, “Odour” and “Taste” of GR are quantified by the electronic nose, electronic tongue, and other instruments. Then, the Pharmacodynamic Components Group (PCG) of GR was determined which could reflect the holistic effect of GR by spectrum effect relationship analysis. By analyzing the correlation between the “Feature” and the content of PCG, the mechanism of FIQA of GR was determined. Results: The quantitative results of “Shape”, “Color”, “Odour” and “Taste” of GR from different sources were significantly different. Six components were selected as the PCG, which can represent the holistic effect of GR in the aspect of the neuroprotective effect. There was a good correlation between the components in the PCG and “Feature”. Conclusions: The quality of GR can be determined quantitatively according to its “Shape”, “Color”, “Odour” and “Taste”. The mechanism of FIQA of TCM can be explained according to the relationship between the Shape of TCM and the Pharmacodynamic Components representing the quality of TCM. The revelation of this mechanism reflects the holistic characteristics of the multi-component synergistic effect of TCM. This study provides a reference research method for revealing the mechanism of FIQA of TCM.

Introduction: Platycodon grandiflorum root (PG), a popular traditional Chinese medicine, contains considerable chemical components with broad pharmacological activities. The complexity and diversity of the chemical components of PG from different origins contribute to its broad biological activities. The quality of southern PG is superior to that of northern PG, but the mechanisms underlying these differences remain unclear. Objectives: In order to study variation in the differentially accumulated metabolites (DAMs), differentially expressed genes (DEGs), as well as their interactions and signalling pathways among PG from Anhui and Liaoning. Methods: The metabolomes based on liquid chromatography–tandem mass spectrometry (LC–MS/MS) and the transcriptome based on high‐throughput sequencing technology were combined to comprehensively analyse PGn and PGb. Results: A total of 6515 DEGs and 83 DAMs from the comparison of PG from Anhui and Liaoning were detected. Integrated analysis of metabolomic and transcriptomic data revealed that 215 DEGs and 57 DAMs were significantly enriched in 48 pathways according to KEGG pathway enrichment analysis, and 15 DEGs and 10 DAMs significantly enriched in the main pathway sesquiterpenoid and triterpenoid and phenylpropanoid biosynthesis might play a key role in complex response or regulatory processes. Conclusion: Differences in PG from southern and northern China might thus stem from differences in environmental factors, such as precipitation, light duration, and humidity. The results of our study provide new insight into geographic variation in gene expression and metabolite accumulation and will enhance the utilisation of PG resources. Untargeted metabolomics and high‐throughput sequencing technology were used to study the differentially expressed genes (DEGs) and differentially accumulated metabolites (DAMs) in the PGn versus PGb comparison. A total of 6515 DEGs and 83 DAMs from the comparison of PG were detected. Ancient Chinese books of herbal medicine have shown that PGn, which has superior quality and a bitter taste, is often used as a medicine. Thus, PGn has the highest medicinal efficacy based on variation in gene expression and metabolite changes associated with regional differences. [ABSTRACT FROM AUTHOR]

Zanthoxyli radix is a popular tea among the elderly, and it is believed to have a positive effect on Alzheimer's disease. In this study, a highly effective three-step strategy was proposed for comprehensive analysis of the active components and biological functions of Zanthoxylum nitidum (ZN), including high-resolution LC-Q-TOF mass spectrometry (HRMS), multivariate statistical analysis for heterogeneity (MSAH), and experimental and virtual screening for bioactivity analysis (EVBA). A total of 117 compounds were identified from the root, stem, and leaf of ZN through HRMS. Bioactivity assays showed that the order of acetylcholinesterase (AChE) inhibitory activity from strong to weak was root > stem > leaf. Nitidine, chelerythrine, and sanguinarine were found to be the main differential components of root, stem, and leaf by OPLS-DA. The IC 50 values of the three compounds are 0.81 ± 0.02, 0.14 ± 0.01, and 0.48 ± 0.01 μM respectively, indicating that they are potent and high-quality AChE inhibitors. Molecular docking showed that pi-pi T-shaped interactions and pi-lone pairs played important roles in AChE inhibition. This study not only explains the biological function of Zanthoxyli radix in alleviating Alzheimer's disease to some extent, but also lays the foundation for the development of stem and leaf of ZN.

Background: Sanwujiao pill (SWJP) is a Chinese herbal preparation widely used in China. It is an essential medicine for treating rheumatism and blood stasis. However, its safety in clinical use has always been the focus of patients because it contains toxic herbs of Aconitum carmichaelii Debx. and A. vilmorinianum Kom., Objective: To further reveal the pharmaceutical and toxic effect substances and the action mechanism of SWJPs, the metabolites and their pathways of ten Aconitum alkaloids (AAs) in the preparation at different time points after oral administration in eight organs of mice were investigated., Method: The biosamples were investigated by a four-step strategy of UPLC-Q-TOF-MS /MS technology., Results: Aconitine (AC), mesaconitine (MA), and hypaconitine (HA) were not detected in any organs. The highest concentrations of the other seven AAs occurred at 0.5 h. Yunaconitine (YAC) was not detected in the brain; all seven AAs had the lowest concentration in the brain, and the metabolism was slow in the stomach. Twelve predicted metabolites were identified, the kidney and stomach were their primary distribution locations, and the most metabolites were found at 0.5h. The main metabolic pathways of the ten AAs were demethylation, deethylation, deoxygenation, hydroxylation, and deacetylation., Conclusion: This is the first report about the metabolism of ten AAs in SWJPs in mice. Significantly, the metabolic pathways and products of four hidden toxic AAs were analyzed in vivo for the first time. The results were of great significance for the safety and effectiveness of SWJPs in clinical application., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)