Modern research thoughts and methods on bio-active components of TCM formulae / 中国天然药物

TCM formulae are the important guidances for clinical application of traditional Chinese medicines, which follow the principles of diagnosis and treatment in TCM. Elucidating the bio-active components of TCM formulae is the key to the modernization and internationalization of traditional Chinese medicines. With the rapid development of modern instruments and technology, many new theories, methods and strategies are emerging, which upgrade the research of TCM formulae into a higher level. Only when the medicinal efficacy, bio-active components, function mechanism of TCM formulae are understood, we can guarantee TCM safety and quality control. In this paper, we summarized the latest modern research thoughts and methods on bio-active components of TCM formulae including formula decomposition study, serum pharmacology and serum pharmacochemistry, association analysis, biochromatography, network pharmacology, metabolomics and proteomics, so as to provide reference for the research and development of TCM in the future.

Identification of multi-target anti-cancer agents from TCM formula by in silico prediction and in vitro validation / 中国天然药物

Cancer is a complex disease associated with multiple gene mutations and malignant phenotypes, and multi-target drugs provide a promising therapy idea for the treatment of cancer. Natural products with abundant chemical structure types and rich pharmacological characteristics could be ideal sources for screening multi-target antineoplastic drugs. In this paper, 50 tumor-related targets were collected by searching the Therapeutic Target Database and Thomson Reuters Integrity database, and a multi-target anti-cancer prediction system based on mt-QSAR models was constructed by using naïve Bayesian and recursive partitioning algorithm for the first time. Through the multi-target anti-cancer prediction system, some dominant fragments that act on multiple tumor-related targets were analyzed, which could be helpful in designing multi-target anti-cancer drugs. Anti-cancer traditional Chinese medicine (TCM) and its natural products were collected to form a TCM formula-based natural products library, and the potential targets of the natural products in the library were predicted by multi-target anti-cancer prediction system. As a result, alkaloids, flavonoids and terpenoids were predicted to act on multiple tumor-related targets. The predicted targets of some representative compounds were verified according to literature review and most of the selected natural compounds were found to exert certain anti-cancer activity in vitro biological experiments. In conclusion, the multi-target anti-cancer prediction system is very effective and reliable, and it could be further used for elucidating the functional mechanism of anti-cancer TCM formula and screening for multi-target anti-cancer drugs. The anti-cancer natural compounds found in this paper will lay important information for further study.

Research initiative of new thought on "main effect" of TCM formulae--new thinking on mechanism of compound action and compatibility mechanism of Chinese herbal compound formulae / 中国中药杂志

This article proposes a new thought on the study of "main effect" of traditional Chinese medicine (TCM) formulae. The blood concentrations of the pharmacodynamic substances of Chinese material medica（CMM）are usually very low, with lower toxic and side effects than western medicine. Therefore, according to a recent hypothesis of additive effect of multiple components for a single target, local targets in multi-component multi-target synergistic effect network of TCM may have the additive effect of similar components. Studies on the disposition of CMM showed that a constituent could bebio-transformed to many metabolites; these compounds with a similar structure are likely to have the same pharmacological effects on the same target, which could provide experimental evidences for the hypothesis of "additive effect". The authors of this article further believe that additive effect of TCM multi-components only comes up under a limited conditions/concentration. Because of the complexity of TCM-organism system, the complex effect of multicomponent addition and competition/antagonism is more likely to appear in single targets of drug effect. This complex effect may be the key to impact the synergistic effect of TCM multi-targets. In theory, choose and create a single target additive effect could realize the scientific compatibility of TCM and improve the curative effect and attenuate toxicity. According to the clinical demand and under the guidance of the above thought, we proposed the "main effect" of TCM formulae. Because traditional Chinese medicine (compounds) have diverse and complex effects, how to better study TCM formulae compatibility mechanism and improve the curative effect? Efforts shall be made to select one or several effects relating to clinical specific syndromes from the complex and diverse effects of TCM as the "main effect". The "main effect" of TCM formulae is the macroscopic manifestation of the synergistic effect of multi-component/multi-target. The study of the Formulae "main effect" can contain at least two aspects: one is the study of pharmacokinetic application of TCM formulae, and another is the study for pharmacodynamics effect. In the study of main effect, there are two main elements. First, which drug targets are directly related to the main effect? This requires identifying the target network. Second, which drug components positively or negatively control the single target of the target network? And what change in single target effect as well as the multi-target synergistic effect will be caused by the regulatory component concentration or the change in number? These two elements is the key to elucidate the mechanism of compound action and compatibility mechanism of Chinese herbal compound formulae. Through the study of the main effect, the clinical curative effect and the mechanism of the TCM formulae shall be improved.

Design of new traditional Chinese medicine herbal formulae for treatment of type 2 diabetes mellitus based on network pharmacology / 中国天然药物

In the present study, 28 Chinese medicinal herbs belonging to traditional Chinese medicine (TCM) for the treatment of type 2 diabetes were selected to explore the application of network pharmacology in developing new Chinese herbal medicine formulae for the treatment of type 2 diabetes mellitus (T2DM). These herbs have the highest appearance rate in the literature, and their compounds are listed. The human protein-protein interaction network and the T2DM disease protein interaction network were constructed. Then, the related algorithm for network topology was used to perform interventions on the interaction network of disease proteins and normal human proteins to test different Chinese herbal medicine compound combinations, according to the information on the interaction of compounds-targets in two databases, namely TarNet and the Medicinal Plants Database. Results of the intervention scores indicate that the method proposed in this study can provide new effective combinations of Chinese herbal medicines for T2DM. Network pharmacology can effectively promote the modernization and development of TCM.