ABSTRACT
Objective:The methods of network pharmacology were adopted to predict Multi-component Chinese Medicine （MCCM） with anti-tumor activity from Shuanghuanglian （SHL）. Furthermore， the pharmaceutical activity of CT26 colon cancer was verified in vitro and in vivo. Method:Based on the Traditional Chinese Medicine Systems Pharmacology Database （TCMSP）， the Handbook of Active Components Analysis of Traditional Chinese Medicine， the Drugbank database， the Reactome database， and the Human protein reference database （HPRD）， the protein-protein interactions network （PPI） and the drug target network were built and resolved. The data was mined to discover the pharmacological effect. The anti- tumor activity of components from SHL was determined based on the nearest distance rule between the compounds and the nodes of network. And then， the anti-tumor effect of the MCCM was verified in vitro and in vivo. Result:The 3 combined compounds， baicalin， forsythoside A and chlorogenic acid with the anti-tumor activity from SHL were predicted and discovered. The verification results showed that the combination of baicalin-forsythoside A-chlorogenic acid could significantly inhibit the cell proliferation and migration compared with the control group in vitro （P<0.01）. Among CT26 bearing mice， the tumor volume and weight were significantly decreased after the combined administration of baicalin-forsythoside A-chlorogenic acid compared with the model group in vivo （P<0.01）. Conclusion:By the methods of network pharmacology， the anti-tumor activities of component of from SHL were discovered. According to the verification in vitro and in vivo， the combination of baicalin-forsythoside A-chlorogenic acid could play better anti-CT26 tumor activity.
ABSTRACT
Objective: To investigate the intervention effect of Dachuanxiong Fang multi-component preparation on acute migraine rats, in order to explore the possible mechanism by using urine metabolomics technology. Method: The forty SD rats were randomly divided into 5 groups (n=8), control group, model group, low-dose Dachuanxiong Fang multi-component preparation (DCXF) group (0.19 g·kg-1), medium-dose DCXF group (0.37 g·kg-1), and high-dose DCXF group (0.74 g·kg-1). Rats were subcutaneously injected with 10 mg·kg-1 nitroglycerin for modeling, and Dachuanxiong Fang multi-component preparation was administered through intragastric administration. After half an hour of administration, blood was collected from the abdominal aorta, and the content of 5-hydroxytryptamine (5-HT), 5-hydroxyindole-3-acetic acid (5-HIAA), nitric oxide (NO), nitric oxide synthase (NOS), calcitonlin gene related peplide (CGRP), dopamine(DA) in plasma were determined by enzyme-linked immuno sorbent assay (ELISA) kits. The contents of 5-HT and NOS in the hypothalamus and brainstem of the control group and the model group were analyzed, and the average optical density value was used for statistical analysis. UPLC-TOF/MS combined with principal component analysis (PCA) analysis was used to analyze different groups of rats and discover differential metabolites. Differential metabolites were analyzed by MetaboAnalyst 3.0 software for possible metabolic pathways. Result: After modeling, compared with the control group, the content of neurotransmitters in the model group was significantly increased (PPPβ-hydroxybutyrate showed an upward trend. According to the metabolic pathway prediction study, metabolic pathways with a higher correlation were found to be alanine, aspartic acid and glutamate metabolism, propionic acid metabolism, nitrogen metabolism and tryptophan metabolism. Conclusion: The possible metabolism pathway of Dachuanxiong Fang multi-component preparation is mainly amino acid metabolism in urine, and kynurenine is also the product of tryptophan metabolism pathway. The kynurenine metabolic pathway is also one of the main pathways of tryptophan metabolism.
ABSTRACT
Multi-component Chinese medicine has been considered an important developmental direction for traditional Chinese medicine (TCM) formula.Nowadays,it is unfit to target a molecule for preventing or curing a disease because it resulted from multiple of factors and resulted in many indications.Thus,the idea focusing on the multiple targets for therapy is increasingly accepted by physicians and scientists.Here,we conceived a new simplified method for screening the active multi-component Chinese medicine based on the complexity of Chinese medicine,the multi-target property of protein signal transduction and the principle of Chinese medicine prescription.Combined with the traditional knowledge on tumor and latest antitumor research results of Chinese medicine and its compounds,the method was concretely illustrated.It helps us to transform the herbal compounds to new complex drugs targeting multiple signaling.
ABSTRACT
“Multi-component Chinese medicine” (MCC Medicine) is a new TCM concept in recent ten years. It is a new formed TCM product accepted and approved by the new mode (component compatibility of medicines) for TCM research and development, which originated from TCM research and development and TCM pharmaceutics. MCC Medicine contains massive historical accumulation of TCM and distinctive characteristics of the times, which is closely connected with the TCM theory, current trend of the TCM development, clinical treatment requirements, and the development of modern science and technology. In order to promote the development of MCC Medicine, this article reviewed its original background and future trend, with a purpose to make clear the direction for the development of MCC Medicine.
ABSTRACT
“Multi-component Chinese medicine” was derived from effective clinical prescriptions, which is similar to natural medicines, and its form is similar to the fixed-dose compounds. The adaptable indications mainly cast chronic, intractable, and complex diseases. Its research targets of pharmacology mostly are diseases, symptoms or pathological process. Vivo and vitro experiments can be used in its researches. Its dose-effect relationship mostly shows non-linear relationship, and three elements (dose, efficacy and syndrome) are involved. However, the comprehensive evaluation method is still in the exploratory stag. In the safety evaluation, there were few general pharmacological researches, and the basis of toxicity and the relationship between amount and toxicity need further study. In combined optimization aspect, including identification of components and component ratio optimization, many methods have been developed, but it still needs to be developed in theory and systemic integration. Pharmacological mechanism researches focus on the multi-component, multi-target, multi-pathway, and multi-pharmacodynamics aspects, combined with new ideas and new technologies, such as systems biology, network pharmacology, etc. But as multi-component medicine, it should also be studied about the correspondence and network relationships of component and target, with a purpose to explain the contribution of each component in overall mechanism.