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Network toxicology combined with metabonomics is of great significance for the study of the toxic mechanism and prediction of toxicity of traditional Chinese medicines (TCMs). In this study, we reviewed the application of network toxicology based on LC-MS metabolomics, mainly in the study of toxic components and the toxicity mechanism of TCMs, which provides new ideas and methods for the further study of the toxicity mechanism of TCMs.

Network pharmacology is a powerful tool to reflect the pharmacologically active effects, mechanism of action and toxic activity of traditional Chinese medicines (TCMs). The ingredients of TCMs, associated with quality control of TCM products, are those fundamental chemicals that exhibit biological activities. A great amount of effort has been made by scientists in that field in order to improve the quality of TCMs, though the approaches to determine their quality and the TCM theory and compatibility rules remain ambiguous. Now some methods and technologies must be applied to predict and explore the quality marker (Q-marker) for quality control, as well as to clarify the factors affecting the quality of TCM, which may give new insight into rational ground of establishment of appropriate quality control and assessment system. In this review paper, authors focus on the prediction of quality markers of TCMs by network pharmacology based on three aspects: (1) from network medicine to network pharmacology, (2) complex network system of traditional Chinese medicine, and (3) predicting TCM quality markers based on network pharmacology. Authors proposed the research pattern on network pharmacology based on biological and medical networks, and further TCM network pharmacology based on substantial basis of TCM formulae, and the idea of “effect-ingredient-target-fingerprint” to predict and recognize the TCM Q-marker was the ultimate goal. In addition, authors yet noted how to make full use of the advantages of network toxicology to provide new ideas for the toxicity study of complex TCM systems and the prediction of TCM toxicity markers.

Objective Nomilin and obacunone are two important limonoids that are well known for their anticancer effect. Previous studies showed that limonoids had inhibitory effect on cytochrome P450 3A4 (CYP3A4). However these effects are inconclusive with regards to prediction of potential drug interactions. Methods Nomilin or obacunone was pre-incubated with HLMs for 30 min. Following 10-fold dilution from the pre-incubation concentration, a second incubation was performed in the presence of NADPH and cytochrome P450 substrates for 15 min. The reaction was quenched and the supernatants were analyzed by chromatography/mass spectrometry. Results In this study, nomilin and obacunone showed potent inhibitory effect on CYP3A4 with the IC50 values of 3.50 and 6.08 µmol/L, respectively. The inhibition of CYP3A4 was in a time-, concentration- and NADPH-dependent manner with Ki values of 2.92 and 1.25 µmol/L and Kinact values of 0.033 and 0.078 min−1 for nomilin and obacunone respectively. These results elucidated that they were time-dependent inhibitors for CYP3A4. Conclusion Concomitant use of limonoids and other drugs may call for extra caution for purposes of clinical safety.

The traditional Chinese medicine (TCM) adlay has been used as a dietary supplement to promote health and treat various ailments for thousands of years. The effective and safe ingredients of TCM could be used as sources for developing new drugs. This paper reviews the main research and application of adlay seed in medicinal field in the following aspects: botanical resource, ethnopharmacological function, chemical constituents, pharmacology and pharmacokinetics, safety evaluation and toxicity, and clinical application. We hope that the review could help researchers mine the scientific values of adlay seed, innovative drug design, provide the guidance for the application in clinical therapy, and enhance the academic level and clinical efficacy of adlay seed.

Chinese medicine (CM) is the most typical conventional therapy compared with any other traditional or alternative medicine systems. The active components of CMs are either primary or secondary metabolites generated by metabolic and biosynthetic enzymes in plants, protecting the plants from environmental stress. The characteristics of these metabolites are diverse, complicated and unique. In this paper, current approaches for quality assessment were extensively reviewed, a new concept of quality marker (Q-marker) was then proposed for CM quality assessment. Additionally, definition of the Q-marker, as well as the relevant methods, were discussed, on the basis of the biosynthetic pathways of secondary metabolites and source of biological active components. Study design of Q-marker is complex system for quality assessment and production process control of CM products with transitivity and traceability. Therefore, the system with characteristics of transmission and traceability is expected to be established for regulation of quality. Upon the concept which the transitivity and traceability in the quality assessment and production process control covered the entire process, such as raw materials, decoction slices, processing, extraction and production can be further enhanced. The transitivity and traceability will inevitably require close attention to “who, what, where, when, and why” details at each stage of Q-markers of CM production form raw materials to patent product. The establishing quality standards are enablers of many and various transitivity and traceability solutions, not a solution in them. It means that the transitivity and traceability system is readily link between products and across borders in quality. According to the thinking mode and methods of investigation on quality assessment of CM product, we focus on the entire process, in terms of safety and effectiveness and quality control. The standard preparation of CM or CM decoction is not only the basis for study of Q-marker, but also the basis for transmission and traceability of the quality of CM product.

Objective To establish an effective approach for rapid and comprehensive analysis on the absorbed and metabolic components in rats after ig administration of Yuanhu Zhitong Dropping Pill (YHZT). Methods Based on the combination of UPLC-Q-TOF/MS and multivariate statistical analysis, the absorbed prototype constituents and their metabolites in rat plasma were rapidly analyzed and identified, and the components absorbed into brain were further identified by comparing the extracted ion chromatograms (EICs) of control and brain tissue samples of dosed rats. Results A total of 38 YHZT-related xenobiotic compounds were detected and identified as the potential bioactive constituents in rat plasma, including 24 absorbed prototype constituents and 14 metabolites. In particular, of all prototype constituents, 14 were also detected in rat brain tissue, indicating that they could penetrate the blood-brain barrier and enter into brain. Conclusion An effective method is established and applied to analyze the potential bioactive constituents in YHZT, which provides a pathway to further investigate the pharmacological pattern and mechanism of YHZT.

Objective To study the effect of bentysrepinine (Y101) metabolites on improving binding affinity of HBV DNA polymerase. Methods The binding mode of Y101 and its metabolites with DNA polymerase has been driven by hydrophobic interaction. Results Two compounds, T2 and T4, exhibited the improvement of the binding affinity to HBV DNA polymerase protein, which suggests that the inhibitory activity against HBV DNA polymerase protein can be enhanced. Conclusion The variant docking poses of T2 and T4 might imply the novel recognition of inhibitory effects of T2 and T4, in comparison with Y101.

Network toxicology that is an important branch of the network pharmacology emerges on the basis of network biology. It refers to study on the toxicological features of a constructed network model which is used to analyze toxic substances and their interaction and regulation in biological systems, particularly investigate the toxic effects of drugs and/or compatibility of medicines on body, and clarify the mechanism of toxicity. Network toxicology currently develops rapidly in safety prediction of Chinese materia medica (CMM). The application of network toxicology to safety and toxicology study on CMM is extremely beneficial to identify the toxic components and potential incompatibility of CMM. Since CMM is a complex system with multi-components, multi-targets, and multi-interactions, the network toxicology in safety prediction of CMM faces three great challenges, including integration studies of bioinformatics, innovation of methods, and tools and risk assessment in future development of the network toxicology in CMM research. In this paper, relevant database, approaches and tools that network toxicology utilized in the safety study of CMM were carefully reviewed. Based on the progress made, the scientific development and modernization of CMM will be greatly enhanced.

Bentysrepinine (Y101), a derivative of repensine, is a novel di-peptide structure isolated from Dichondra repens. In vitro and in vivo tests exhibited that bentysrepinine markedly inhibited DNA-HBV and cccDNA activities. The binding mode of Y101 and repensine with DNA polymerase was driven by hydrophobic interactions. This might provide novel recognition of inhibitory effect of Y101 against HBV, though its inhibition mechanism needs to be validated by bio-assay at cellular level and of polymerase activity. Preliminary docking study suggested that Y101 might be able to inhibit HIV inverse transcriptase, also have the potential to interact with DNA polymerase and HCV NS5B polymerase.