Modern research thoughts and methods on bio-active components of TCM formulae.

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.

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.

Immunometabolism at the service of traditional Chinese medicine.

To enhance therapeutic efficacy and reduce adverse effects, ancient practitioners of traditional Chinese medicine (TCM) prescribe combinations of plant species/animal species and minerals designated "TCM formulae" developed based on TCM theory and clinical experience. TCM formulae have been shown to exert curative effects on complex diseases via immune regulation but the underlying mechanisms remain unknown at present. Considerable progress in the field of immunometabolism, referring to alterations in the intracellular metabolism of immune cells that regulate their function, has been made over the past decade. The core context of immunometabolism is regulation of the allocation of metabolic resources supporting host defense and survival, which provides a critical additional dimension and emerging insights into how the immune system and metabolism influence each other during disease progression. This review summarizes research findings on the significant association between the immune function and metabolic remodeling in health and disease as well as the therapeutic modulatory effects of TCM formulae on immunometabolism. Progressive elucidation of the immunometabolic mechanisms involved during the course of TCM treatment continues to aid in the identification of novel potential targets against pathogenicity. In this report, we have provided a comprehensive overview of the benefits of TCM based on regulation of immunometabolism that are potentially applicable for the treatment of modern diseases.

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].

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.

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.

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.

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.

Kai-Xin-San, a standardized traditional Chinese medicine formula, up-regulates the expressions of synaptic proteins on hippocampus of chronic mild stress induced depressive rats and primary cultured rat hippocampal neuron.

BACKGROUND: Kai-xin-san (KXS), composed of Ginseng Radix et Rhizoma, Polygalae Radix, Acori Tatarinowii Rhizoma and Poria, is a famous Chinese medicinal formula applied for treating stress-related psychiatric disease with the symptoms such as depression, forgetfulness and dizziness. Dependent on the symptom differentiation of patients, the composition ratio of KXS was varied and one ratio of 3:2:2:3 was widely applied. However, its molecular mechanism has seldom been investigated. PURPOSE: We aimed to reveal the action mechanism of KXS on anti-depression on synaptic protein regulation in both in vivo and in vitro models. STUDY DESIGN/METHODS: Firstly, the anti-depression effect of KXS was evaluated on a chronic mild stress induced depressive animal model and the mRNA expressions of various synaptic proteins in hippocampus of the depressive rat brains were determined. Then, KXS with different ratios as well as single herb were further evaluated on rat primary cultured hippocampus neurons and the possible signaling pathway was explored. RESULTS: Intra-gastric administration of a chemically standardized KXS for only 6h significantly alleviated the CUMS-induced depressive symptoms displayed by enhanced sucrose consumption and this effect was maintained after daily treatment for seven days. Simultaneously, the mRNA expressions of various synaptic proteins in hippocampus were regulated. Among these synaptic proteins, synaptotagmin (pre-synaptic marker) and post synaptic density protein (post-synaptic marker), with the higher altered magnitude on animal model, were further evaluated on rat primary cultured hippocampus neurons. After neuronal cultures treated with three ratios of KXS at the early and late stages of its life episode, the expression levels of synaptotagmin and PSD95 were both enhanced dramatically via stimulating cAMP dependent pathway. However, different ratio exerted different efficacy. The ratio with higher amounts of Ginseng Radix et Rhizoma and Polygalae Radix showed better effect in early life episode while higher amounts of Acori Tatarinowii Rhizoma and Poria behaved better in late life episode. The contribution of single herb on expressions of synaptic proteins was also evaluated. CONCLUSIONS: KXS was beneficial for synaptogenesis by inducing synaptic protein expressions, which might account for its anti-depression effect.

Kai-Xin-San, a traditional Chinese medicine formula, induces neuronal differentiation of cultured PC12 cells: Modulating neurotransmitter regulation enzymes and potentiating NGF inducing neurite outgrowth.

ETHNOPHARMACOLOGICAL RELEVANCE: Kai-Xin-San, an ancient formula composed of Ginseng Radix et Rhizoma, Polygalae Radix, Acori Tatarinowii Rhizoma and Poria, was frequently applied for major depression disorders for thousands of years. However, its molecular mechanism has not clearly been investigated. AIM OF THE STUDY: We aimed to reveal the action mechanism of KXS on anti-depression on inducing neuronal differentiation on PC12 cells. MATERIALS AND METHODS: A chemically standardized water extract of KXS was applied onto cultured PC12 cells in determining its effect on neurotransmitter regulation enzymes and neurite outgrowth. RESULTS: Single KXS treatment showed obvious changes in the expression of neurofilament and neurotransmitter regulation enzymes, which in parallel to treatment of nerve growth factor (NGF). Although KXS by itself did not show significant inductive effect on neurite outgrowth of PC12 cells, KXS could potentiate the NGF induced neurite outgrowth. Among the three ratios, K-652 showed the most powerful effect and cAMP-dependent pathway might play the major role. CONCLUSIONS: KXS might exert the anti-depressant-like action of be inducing neuronal differentiation, which supported the clinically usage of this decoction.

Rapid screening natural-origin lipase inhibitors from hypolipidemic decoctions by ultrafiltration combined with liquid chromatography-mass spectrometry.

Lipase inhibitors generate hypolipidemic effect that is helpful to control or treat some obesity diseases by inactivating catalytic activity of human pancreatic lipase, a key enzyme involved in triglyceride hydrolysis in vivo. Many traditional Chinese medicine (TCM) formulae have been effectively used to treat obesity and other fat related diseases for centuries and modern biological experiments demonstrate therapeutic effect of these formulae can be linked to their lipid-lowering capability in blood. These observations suggest that these hypolipidemic decoctions (HDs) could be a promising resource of natural-origin lipase inhibitors. This work described a rapid approach for screening lipase inhibitors from four widely used HDs, including Wu-Ling-San (WLS), Ze-Xie decoction (ZX), Xiao-Xian-Xiong decoction (XXX) and Xiao-Chai-Hu decoction (XCH), by ultrafiltration combing with high performance liquid chromatography-mass spectrometry (HPLC-MS). Our results showed sixteen natural-origin lipase inhibitors were discovered and identified by high resolution and multistage mass spectrometry. Inhibitory activities of two compounds were confirmed by a functional assay of lipase, which validated the reliability of our approach. Molecular docking simulation was then performed to investigate potential mechanism of action for these compounds. Together we present an efficient method for rapid screening lipase inhibitors from complex natural products, which can be easily accommodated to other important enzymatic system with therapeutic values.