The multicomponent residue depletion of Gelsemium elegans in pig tissues, urine, and plasma.

Introduction: Gelsemium elegans (G. elegans) as a traditional medicinal plant used in livestock production. The use of G. elegans in veterinary clinics may pose safety risks to human health. Objectives: The aim of this study was to investigate tissue residue depletion in pigs fed G. elegans powder. Methods: A precise quantitation method and a simultaneous semi-quantitation method for multiple components independently of standards in pig tissues were developed for the first time. The two methods were validated in terms of specificity, LODs, LOQs, linearity, accuracy, precision, and matrix effects. They were then applied to a tissue residue depletion study after G. elegans powder at a dose of 2% per kg feed were fed to pigs. Results: Compared with precise quantitation, the method validation results indicated that the semi-quantitation method was reliable and acceptable for multicomponent quantification independent of standards. Many G. elegans alkaloids are widely distributed in most tissues of pigs. Tissue residue depletion studies indicated that 14-hydroxygelsenicine, 11-hydroxygelsenicine, and gelsemoxonine could be used as potential residue markers, and pancreas, small intestine, and lung tissues could be considered as potential residue target tissues of G. elegans. In addition, both urine and plasma could be used to predict 14-hydroxygelsenicine and gelsemoxonine residues in the liver, pancreas, and small intestinal tissues of pigs. Conclusion: The developed semi-quantification method can be applied to monitor the application and residue of G. elegans. The results provide scientific evidence for evaluating the safety of animal-derived food from G. elegans for consumers and will be helpful for its application and future development.

An analytical strategy to explore the multicomponent pharmacokinetics of herbal medicine independently of standards: Application in Gelsemium elegans extracts.

The multicomponent pharmacokinetic study of herbal medicine is a great challenge due to the low plasma concentrations, large range of concentration scales, lack of authentic standards and uncertain interactions of the components. The aim of this work was to explore the in vivo pharmacokinetics of herbal medicine independently of authentic standards using an integrated analytical strategy. First, ion pairs of multiple components were tuned and selected, and then major parameters were optimized for derivative multiple reaction monitoring (DeMRM) by LC-MS/MS, which was combined with characterization of the chemical profiles of the herbal medicine by LC-QqTOF/MS. Second, different concentrations of herbal extracts were employed instead of authentic standards to construct calibration curves for the semiquantitative determination of multiple components in plasma. Taking Gelsemium elegans as an example, in addition to the fully validated and sufficient methodological results, a total of 27 alkaloid components, major bioactive constituents of Gelsemium elegans, were simultaneously monitored in pig plasma. The concentration-time profiles and pharmacokinetic properties of these 27 components were characterized. The absolute quantification of three components was compared with the results obtained using authentic standards, and the method showed very similar analytical characteristics, such as linearity, precision, accuracy, and the values of the pharmacokinetic parameters Tmax, Vd, Cl and MRT. This analytical strategy was found to be capable of assessing herbal pharmacokinetics independently of specific authentic compounds for each component. This study was the first attempt to systematically reveal the in vivo pharmacokinetics of Gelsemium elegans. This strategy and methodology will find widespread use in the quantitative pharmacokinetic analysis of multiple components independently of standards for herbal medicine, among other applications.

Characterization of N-methylcanadine and N-methylstylopine metabolites in rat liver S9 by high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry.

RATIONALE: N-Methylcanadine and N-methylstylopine are two types of isoquinoline alkaloids which are considered to be the main medicinally active constituents of the genus Papaveraceae. However, to date, no metabolism studies of N-methylcanadine and N-methylstylopine have been reported. Therefore, the purpose of the present study was to investigate the in vitro metabolism of these two alkaloids in rat liver S9. METHODS: N-Methylcanadine or N-methylstylopine was incubated with rat liver S9 for 1 h, and then the incubation mixture was processed with 15% trichloroacetic acid. High-performance liquid chromatography with quadrupole time-of-flight mass spectrometry (HPLC/QqTOF-MS) as a reliable analytical method was used. The structural characterization of these metabolites was performed by the combination of the accurate MS/MS spectra and the known elemental composition. RESULTS: As a result, a total of four metabolites of N-methylcanadine and five metabolites of N-methylstylopine in rat liver S9 were tentatively identified. The cleavage of the methylenedioxy group of the drugs was the main metabolic pathway of N-methylcanadine and N-methylstylopine. CONCLUSIONS: The present study is the first in vitro metabolic investigation of N-methylcanadine and N-methylstylopine in rat liver S9 using a reliable HPLC/QqTOF-MS method. The metabolic pathways of N-methylcanadine and N-methylstylopine are tentatively proposed. This work lays the foundation for the in vivo metabolism of the two compounds in animals.

Efficient Photocatalytic Bilirubin Removal over the Biocompatible Core/Shell P25/g-C3N4 Heterojunctions with Metal-free Exposed Surfaces under Moderate Green Light Irradiation.

Highly-monodispersed g-C3N4/TiO2 hybrids with a core/shell structure were synthesized from a simple room temperature impregnation method, in which g-C3N4 was coated through self-assembly on the commercially available Degussa P25 TiO2 nanoparticles. Structural and surface characterizations showed that the presence of g-C3N4 notably affected the light absorption characteristics of TiO2. The g-C3N4/TiO2 heterojunctions with metal-free exposed surfaces were directly used as biocompatible photocatalysts for simulated jaundice phototherapy under low-power green-light irradiation. The photocatalytic activity and stability of g-C3N4/TiO2 were enhanced relative to pure P25 or g-C3N4, which could be ascribed to the effective Z-scheme separation of photo-induced charge carriers in g-C3N4/TiO2 heterojunction. The photoactivity was maximized in the 4 wt.% g-C3N4-coated P25, as the bilirubin removal rate under green light irradiation was more than 5-fold higher than that under the clinically-used blue light without any photocatalyst. This study approves the future applications of the photocatalyst-assisted bilirubin removal in jaundice treatment under moderate green light which is more tolerable by humans.

Study on active ingredient and mechanism in preventing vascular dementia of Tianzhusan coming from Tujia medicine.

To make clear of the absorbed components of Tianzhusan (TZS) and its possible mechanism in preventing vascular dementia (VD), the rats' models of VD were prepared by a permanent ligation of the bilateral common carotid arteries. After 60 days, rats were administrated with TZS for 0.1 g x kg(-1), and the volume is 0.02 mL x g(-1). After 3 days, the medicated serum was prepared and detected by UPLC, and then we predicted the possible chemical structure of the absorbed components of TZS. According to the absorbed components, the potential targets of TZS were found by ligand profiling of Discovery Studio 3.5. All of these target genes were submitted to DAVID onine for gene set enrichment analysis (GSEA). The 5 absorbed components of TZS have been predicted, and four of them have been identified as parishin B, parishin C, parishin, pennogenin-3-O-alpha-L-rhamnopyranosy-(1-->2)-beta-D-glucoside. Through reverse finding targets, we got 861 pharmacophore models and 9 pathways from KEGG, BIOCARTA after document verification. These results showed that the efficacy mechanism of TZS on VD perhaps were be related with these absorbed components and pathways. If the traditional herbs could be proved effective by efficacy tests, the serum pharmacochemistry, computer-aided drug design, system biology and other technologies can be used in the next experiments, which will be beneficial to fast discovery of material basis and mechanisms of traditional medicine coming form ethnic minorities.

Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian.

Due to the proved clinical efficacy, Shuang-Huang-Lian (SHL) has developed a variety of dosage forms. However, the in-depth research on targets and pharmacological mechanisms of SHL preparations was scarce. In the presented study, the bioinformatics approaches were adopted to integrate relevant data and biological information. As a result, a PPI network was built and the common topological parameters were characterized. The results suggested that the PPI network of SHL exhibited a scale-free property and modular architecture. The drug target network of SHL was structured with 21 functional modules. According to certain modules and pharmacological effects distribution, an antitumor effect and potential drug targets were predicted. A biological network which contained 26 subnetworks was constructed to elucidate the antipneumonia mechanism of SHL. We also extracted the subnetwork to explicitly display the pathway where one effective component acts on the pneumonia related targets. In conclusions, a bioinformatics approach was established for exploring the drug targets, pharmacological activity distribution, effective components of SHL, and its mechanism of antipneumonia. Above all, we identified the effective components and disclosed the mechanism of SHL from the view of system.

[Construction of automatic elucidation platform for mechanism of traditional Chinese medicine].

Aim at the two problems in the field of traditional Chinese medicine (TCM) mechanism elucidation, one is the lack of detailed biological processes information, next is the low efficient in constructing network models, we constructed an auxiliary elucidation system for the TCM mechanism and realize the automatic establishment of biological network model. This study used the Entity Grammar Systems (EGS) as the theoretical framework, integrated the data of formulae, herbs, chemical components, targets of component, biological reactions, signaling pathways and disease related proteins, established the formal models, wrote the reasoning engine, constructed the auxiliary elucidation system for the TCM mechanism elucidation. The platform provides an automatic modeling method for biological network model of TCM mechanism. It would be benefit to perform the in-depth research on TCM theory of natures and combination and provides the scientific references for R&D of TCM.

[Study on mechanism for anti-hyperlipidemia efficacy of rhubarb through assistant analysis systems for acting mechanisms of traditional Chinese medicine].

Rhubarb is a traditional Chinese medicine (TCM), wildly used in treating the disease of hyperlipidemia. However, its components are complicated, so that it is still difficult to clear the specific roles of its various components in blood lipids regulation in. So we decide to systematically study the anti- hyperlipidemia mechanism of rhubarb. We integrated multiple databases, based on entity grammar systems model, constructed molecular interaction network between the chemical constituents of rhubarb and hyperlipidemia. The network includes 231 nodes and 638 edges. Thus we infer the interactions of active targets and disease targets to clarify the anti-hyperlipidemia mechanism. And find that rhubarb can promote excretion of cholesterol; inhibit clotting factors and improve blood circulation; inhibit the release of inflammatory cytokines and maintain fat metabolism balance; inhibit cholesterol and triglyceride synthesis; and other ways to achieve lipid-lowering effect. Thus this study provides reference for novel drug development and component compatibility, and also gives a new way for the systematically study of acting mechanism of traditional Chinese medicine.

[Elucidating hypoglycemic mechanism of Dendrobium nobile through auxiliary elucidation system for traditional Chinese medicine mechanism].

To build the Dendrobium nobile -T2DM network, and elucidate the molecular mechanism of D. nobile to type 2 diabetes (T2DM). Collect the chemical composition of D. nobile and the targets on T2DM by retrieving database and documents, build the network of D. nobile to T2DM using the entity grammar systems inference rules. The molecular mechanism of D. nobile to T2DM includes: (1) regulating lipid metabolism by lowering triglyceride; (2) reducing insulin resistance; (3) protecting islet cells; (4) promoting the glucose-dependent insulin tropic peptide (GIP) secretion; (5) inhibiting calcium channel. Under the guidance of network pharmacology, through entity grammar systems inference rules we elucidate the molecular mechanism of D. nobile to T2DM, and provide the basis for the further development of health care products based on D. nobile.

[Study on mechanism of Salvia miltiorrhiza treating cardiovascular disease through auxiliary mechanism elucidation system for Chinese medicine].

Salvia miltiorrhiza is a traditional Chinese medicine (TCM) and is widely used as a clinically medication for its efficiency in treating cardiovascular disease. Due to TCM is a comprehensive system, the mechanism of S. miltiorrhiza treating cardiovascular disease through integrated multiple pathways are still unclear in some aspects. With the rapid progress of bioinformatics and systems biology, network pharmacology is considered as a promising approach toward reveal the underlying complex relationship between an herb and the disease. In order to discover the mechanism of S. miltiorrhiza treating cardiovascular disease systematically, we use the auxiliary mechanism elucidation system for Chinese medicine, built up a molecule interaction network on the active component targets of S. miltiorrhiza and the therapeutic targets of cardiovascular disease to offer an opportunity for deep understanding the mechanism of S. miltiorrhiza treating cardiovascular disease from the perspective of network pharmacology. The results showed that S. miltiorrhiza treating cardiovascular disease through ten pathways as follows: improve lipid metabolism, anti-inflammation, regulate blood pressure, negatively regulates blood coagulation factor and antithrombotic, regulate cell proliferation, anti-stress injury, promoting angiogenesis, inhibited apoptosis, adjust vascular systolic and diastolic, promoting wound repair. The results of this paper provide theoretical guidance for the development of new drugs to treat cardiovascular disease and the discovery of new drugs through component compatibility.

[Study on mechanism for anti-hypertension efficacy of Eucommiae Cortex through assistant analysis systems for acting mechanisms of traditional Chinese medicine].

Elucidate the mechanism of Eucommiae Cortex in treatment of hypertension, to provide the basis for further research and development of Eucommiae Cortex. Our study using the entity grammar systems inference rules to analyse the interactions of chemical constituents of Eucommiae Cortex and disease target proteins at the molecular level, and got a biological network of Eucommiae Cortex anti-hypertension which inciude 602 nodes and 2 354 edges. We got 3 treatment of hypertension pathways of Eucommiae Cortex by analyzing biological network, that is, by inhibition of vascular remodeling to improve the deterioration of hypertension, reduce activity of polymorphism genetic genes related to essential hypertension, inhibition of carbonic anhydrase 1 to maintain the osmotic pressure, Eucommiae Cortex play the role of anti-hypertension.

[Study on mechanism for anti-depression efficacy of Sini San through auxiliary mechanism elucidation system for Chinese medicine].

As regulating the function of the liver and spleen of the famous traditional formula, Sini San is widely used in the treatment of various diseases caused by liver depression and Qi stagnation, and its efficacy is significant clinically. Recently it is discovered that Sini San is effective in the treatment of nervous system diseases such as depression. Furthermore, there is a lot of literature about the effect of Sini San on the molecular mechanism of antidepressant. However, the anti-depression mechanism of Sini San is not very clear, in our present study, based on the auxiliary mechanism elucidation system for Chinese medicine and network pharmacology system to construct the chemical ingredients of the target interactions and disease-related protein of the interaction network. Results show that there are 263 chemical ingredients and 19 corresponding targets of depression in Sini San network. Sini San can anti-depressant effect through G-protein coupled receptor protein signaling pathway, cAMP system, neurological system process and neurotransmitter secretion, inflammatory response, neuroendocrine, metal ion transport and so on. These studies provided valuable clues for the mechanism and treatment of anti-depressant.

Study on mechanism for anti-depression efficacy of Sini San through auxiliary mechanism elucidation system for Chinese medicine / 中国中药杂志

As regulating the function of the liver and spleen of the famous traditional formula, Sini San is widely used in the treatment of various diseases caused by liver depression and Qi stagnation, and its efficacy is significant clinically. Recently it is discovered that Sini San is effective in the treatment of nervous system diseases such as depression. Furthermore, there is a lot of literature about the effect of Sini San on the molecular mechanism of antidepressant. However, the anti-depression mechanism of Sini San is not very clear, in our present study, based on the auxiliary mechanism elucidation system for Chinese medicine and network pharmacology system to construct the chemical ingredients of the target interactions and disease-related protein of the interaction network. Results show that there are 263 chemical ingredients and 19 corresponding targets of depression in Sini San network. Sini San can anti-depressant effect through G-protein coupled receptor protein signaling pathway, cAMP system, neurological system process and neurotransmitter secretion, inflammatory response, neuroendocrine, metal ion transport and so on. These studies provided valuable clues for the mechanism and treatment of anti-depressant.

Study on mechanism for anti-hypertension efficacy of Eucommiae Cortex through assistant analysis systems for acting mechanisms of traditional Chinese medicine / 中国中药杂志

Elucidate the mechanism of Eucommiae Cortex in treatment of hypertension, to provide the basis for further research and development of Eucommiae Cortex. Our study using the entity grammar systems inference rules to analyse the interactions of chemical constituents of Eucommiae Cortex and disease target proteins at the molecular level, and got a biological network of Eucommiae Cortex anti-hypertension which inciude 602 nodes and 2 354 edges. We got 3 treatment of hypertension pathways of Eucommiae Cortex by analyzing biological network, that is, by inhibition of vascular remodeling to improve the deterioration of hypertension, reduce activity of polymorphism genetic genes related to essential hypertension, inhibition of carbonic anhydrase 1 to maintain the osmotic pressure, Eucommiae Cortex play the role of anti-hypertension.

Study on mechanism of Salvia miltiorrhiza treating cardiovascular disease through auxiliary mechanism elucidation system for Chinese medicine / 中国中药杂志

Salvia miltiorrhiza is a traditional Chinese medicine (TCM) and is widely used as a clinically medication for its efficiency in treating cardiovascular disease. Due to TCM is a comprehensive system, the mechanism of S. miltiorrhiza treating cardiovascular disease through integrated multiple pathways are still unclear in some aspects. With the rapid progress of bioinformatics and systems biology, network pharmacology is considered as a promising approach toward reveal the underlying complex relationship between an herb and the disease. In order to discover the mechanism of S. miltiorrhiza treating cardiovascular disease systematically, we use the auxiliary mechanism elucidation system for Chinese medicine, built up a molecule interaction network on the active component targets of S. miltiorrhiza and the therapeutic targets of cardiovascular disease to offer an opportunity for deep understanding the mechanism of S. miltiorrhiza treating cardiovascular disease from the perspective of network pharmacology. The results showed that S. miltiorrhiza treating cardiovascular disease through ten pathways as follows: improve lipid metabolism, anti-inflammation, regulate blood pressure, negatively regulates blood coagulation factor and antithrombotic, regulate cell proliferation, anti-stress injury, promoting angiogenesis, inhibited apoptosis, adjust vascular systolic and diastolic, promoting wound repair. The results of this paper provide theoretical guidance for the development of new drugs to treat cardiovascular disease and the discovery of new drugs through component compatibility.

Elucidating hypoglycemic mechanism of Dendrobium nobile through auxiliary elucidation system for traditional Chinese medicine mechanism / 中国中药杂志

To build the Dendrobium nobile -T2DM network, and elucidate the molecular mechanism of D. nobile to type 2 diabetes (T2DM). Collect the chemical composition of D. nobile and the targets on T2DM by retrieving database and documents, build the network of D. nobile to T2DM using the entity grammar systems inference rules. The molecular mechanism of D. nobile to T2DM includes: (1) regulating lipid metabolism by lowering triglyceride; (2) reducing insulin resistance; (3) protecting islet cells; (4) promoting the glucose-dependent insulin tropic peptide (GIP) secretion; (5) inhibiting calcium channel. Under the guidance of network pharmacology, through entity grammar systems inference rules we elucidate the molecular mechanism of D. nobile to T2DM, and provide the basis for the further development of health care products based on D. nobile.

Study on mechanism for anti-hyperlipidemia efficacy of rhubarb through assistant analysis systems for acting mechanisms of traditional Chinese medicine / 中国中药杂志

Rhubarb is a traditional Chinese medicine (TCM), wildly used in treating the disease of hyperlipidemia. However, its components are complicated, so that it is still difficult to clear the specific roles of its various components in blood lipids regulation in. So we decide to systematically study the anti- hyperlipidemia mechanism of rhubarb. We integrated multiple databases, based on entity grammar systems model, constructed molecular interaction network between the chemical constituents of rhubarb and hyperlipidemia. The network includes 231 nodes and 638 edges. Thus we infer the interactions of active targets and disease targets to clarify the anti-hyperlipidemia mechanism. And find that rhubarb can promote excretion of cholesterol; inhibit clotting factors and improve blood circulation; inhibit the release of inflammatory cytokines and maintain fat metabolism balance; inhibit cholesterol and triglyceride synthesis; and other ways to achieve lipid-lowering effect. Thus this study provides reference for novel drug development and component compatibility, and also gives a new way for the systematically study of acting mechanism of traditional Chinese medicine.

Construction of automatic elucidation platform for mechanism of traditional Chinese medicine / 中国中药杂志

Aim at the two problems in the field of traditional Chinese medicine (TCM) mechanism elucidation, one is the lack of detailed biological processes information, next is the low efficient in constructing network models, we constructed an auxiliary elucidation system for the TCM mechanism and realize the automatic establishment of biological network model. This study used the Entity Grammar Systems (EGS) as the theoretical framework, integrated the data of formulae, herbs, chemical components, targets of component, biological reactions, signaling pathways and disease related proteins, established the formal models, wrote the reasoning engine, constructed the auxiliary elucidation system for the TCM mechanism elucidation. The platform provides an automatic modeling method for biological network model of TCM mechanism. It would be benefit to perform the in-depth research on TCM theory of natures and combination and provides the scientific references for R&D of TCM.

Study on active ingredient and mechanism in preventing vascular dementia of Tianzhusan coming from Tujia medicine / 中国中药杂志

To make clear of the absorbed components of Tianzhusan (TZS) and its possible mechanism in preventing vascular dementia (VD), the rats' models of VD were prepared by a permanent ligation of the bilateral common carotid arteries. After 60 days, rats were administrated with TZS for 0.1 g x kg(-1), and the volume is 0.02 mL x g(-1). After 3 days, the medicated serum was prepared and detected by UPLC, and then we predicted the possible chemical structure of the absorbed components of TZS. According to the absorbed components, the potential targets of TZS were found by ligand profiling of Discovery Studio 3.5. All of these target genes were submitted to DAVID onine for gene set enrichment analysis (GSEA). The 5 absorbed components of TZS have been predicted, and four of them have been identified as parishin B, parishin C, parishin, pennogenin-3-O-alpha-L-rhamnopyranosy-(1-->2)-beta-D-glucoside. Through reverse finding targets, we got 861 pharmacophore models and 9 pathways from KEGG, BIOCARTA after document verification. These results showed that the efficacy mechanism of TZS on VD perhaps were be related with these absorbed components and pathways. If the traditional herbs could be proved effective by efficacy tests, the serum pharmacochemistry, computer-aided drug design, system biology and other technologies can be used in the next experiments, which will be beneficial to fast discovery of material basis and mechanisms of traditional medicine coming form ethnic minorities.

[Study on self-similarity of property combination mode of traditional Chinese medicines].

The combination of medicinal properties refers to expression forms of elements with active properties combined according to a specific sequence. The mode of medicinal property combination refers to the compatible relationship multiple medicinal property combinations. In this paper, based on the mode, safflower, Taohong Siwu decoction, Xuefu Zhuyu decoction and Buyang Huanwu decoction were taken for example to study the characteristics of the compatibility among single herb, herbal pairs and prescriptions. The authors discovered the similarities and differences among them, interpreted the self-similarity in medicinal property combinations of traditional Chinese medicines, and analyzed the compatible relationship among multiple medicinal property combinations, so as to bring forth new ideas in discovering the correlation between the compatibility study mode of traditional Chinese medicines based medicinal property combinations and the efficient compatibility of medicinal property combination.