Riyue Yu

Anti-diabetic activities of Gegen Qinlian Decoction in high-fat diet combined with streptozotocin-induced diabetic rats and in 3T3-L1 adipocytes.

Gegen Qinlian Decoction (GGQLD) is one of the well-known traditional Chinese medicines. Recently, it was reported that GGQLD had good clinical effects on type 2 diabetes mellitus. However, few studies have confirmed in detail the anti-diabetic activities of GGQLD in vivo and in vitro. In the present study, we investigated the anti-diabetic effects of GGQLD in high-fat diet combined with streptozotocin-induced diabetic rats and in 3T3-L1 adipocytes. The present results suggested GGQLD (4.95, 11.55 and 18.15 g/kg) decreased significantly fasting blood glucose, glycosylated serum protein, and glycosylated hemoglobin of diabetic rats (p<0.05), and GGQLD (4.95 and 18.15 g/kg) decreased significantly fasting serum insulin levels of diabetic rats (p<0.05); in 3T3-L1 adipocytes, Gegen Qinlian Decoction-containing serum (GGQLD-CS) (4%, 8% and 16%) enhanced glucose consumption, triglyceride (TG) content, adiponectin protein concentration and the mRNA expression of adiponectin. Adiponectin contributes to the regulation of lipid and glucose metabolism, and can play a critical role in the development of diabetes mellitus; the mechanisms of action of GGQLD might be related to augmentation of adiponectin protein concentration and up-regulation of the mRNA expression of adiponectin. However, the multi-target mechanisms of action of GGQLD need to be clarified further. The present study further validated the beneficial effects of GGQLD as an anti-diabetic agent. These findings provide a new insight into the anti-diabetic application for GGQLD in clinic and display the potential of GGQLD as a new drug candidate for the treatment of diabetes mellitus.

Interaction of baicalin with berberine for glucose uptake in 3T3-L1 adipocytes and HepG2 hepatocytes.

ETHNOPHARMACOLOGICAL RELEVANCE Baicalin and berberine are important coexisting constituents of the combination of Radix Scutellariae and Rhizoma Coptidis, known as scutellaria-coptis herb couple (SC), which has heat clearing and detoxifying effects. The aims of the present study were to investigate the effects of the combination of baicalin+berberine on glucose uptake in 3T3-L1 adipocytes or HepG2 cells. MATERIALS AND METHODS Insulin-resistant adipocytes and hepatocytes models were established. Glucose consumption was assayed to evaluate the effects of berberine, baicalin, and berberine+baicalin on glucose uptake, and the interaction of baicalin with berberine for glucose uptake was evaluated in 3T3-L1 adipocytes or HepG2 cells. Moreover, the effects of baicalin on the dose-effect relationship of berberine for glucose uptake was also evaluated in 3T3-L1 adipocytes. RESULTS The results of the present study demonstrated that berberine increased glucose consumption in 3T3-L1 adipocytes and HepG2 hepatocytes in a dose-dependent manner. In contrast, statistical analyses indicated that baicalin (in doses up to 100μmol/L) produced no obvious effect. The effect of berberine+baicalin on glucose uptake was better than that of berberine or baicalin alone, which indicated that berberine and baicalin had the trend of synergetic effect on glucose uptake. Furthermore, these results showed that the synergistic effect occurred in a specific dose range, while the antagonistic effect was present in another dose range in the presence of 10μmol/L baicalin. Interestingly, the entire dose-response curves of berberine shifted down in the presence of 100μmol/L baicalin, and baicalin antagonised the effect of berberine on glucose uptake in 3T3-L1 adipocytes. CONCLUSIONS The results of the present study showed that berberine dose-dependently increased glucose consumption in 3T3-L1 adipocytes and HepG2 hepatocytes. Furthermore, interaction of baicalin with berberine was additive at low doses of baicalin and antagonistic at higher baicalin doses. Thus, it is possible that baicalin is a partial agonist. These results provided a basis for the study of the TCM compatibility mechanism and a new insight into the application for Gegen Qinlian Decoction (GGQLD) or SC in the clinic.

A New Operating System Scheduling Algorithm

The paper compares several kinds scheduling algorithm,which include First-Come,First-Served,Shortest-Job (process)-First, Highest Response Ratio Next. Each algorithm has some advantages or disadvantages.In order to take all the factors,such as first come job,shortest job,longest job,highest respones ratio job,and etc,the paper put forward a new operating system scheduling algorithm median-time slice-Highest Response Ratio Next, the method was proved to be feasible and effective after tested the five process sequence.

The Research for Traditional Chinese Medicine's Nature and its Classification Model

the research for traditional Chinese medicine’s warm and cold natures classification is a significative thing for clinical. The paper put forward a model to classify Chinese herbs’ warm and cold natures. The first, data preprocessing; The second, extract the typical M/Z(mass-to-charge ratio) character values from these mice of the train sample have been given the warm or cold natures which have been known The third, these typical character values model rules set, test it use other same type natures typical character values and the different type natures typical character values respectively, the result is to filter the very important values (VIP), as the classification rules. The model was proved to be feasible and effective after tested with 6 type’s warm nature’s herbs, 6 type’s cold nature’s herbs.

An approach for metabonomics data analysis applied on the plasma of Ginger water extract administered reserpine induced spleen deficiency rats

Data sets in metabonomics or metabolic profiling experiments are becoming increasingly complex, which is hard to analyze without appropriate methods. The use of chemometric tools, such as orthogonal signal correction (OSC), principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), (orthogonal partial least squares discriminant analysis (OPLS-DA) make the data dimension and interpretation much easier. Here a system method based on PCA, OSC-PLS-DA for metabonomic data analysis was showed; Furthermore, U-plot, as a visualized tool was used for the biomarkers discovery. As an example, dataset from RAC water extract administrated spleen deficiency rats plasma collected by LC/MS/MS was used to demonstrate this method. As a result, PCA was an useful tool for metabonomic dataset dimension reduction, OSC is an powerful data filter, U-plot based on OSC-PLS-DA was proved to be an effective, time saving tool for data interpretation and biomarkers discovery. In conclusion, the a system method shown by this paper is suitable for the matabonomic study.

Analyze the Relationship between TCM Prescription’ Dosage and Pharmacodynamic Effect Based on UD-OPLS/O2PLS

Traditional Chinese Medicine have the secret is dosage, the Traditional Chinese Medical clinical therapeutic effect key is prescription’ dosage. The paper aim to explore and analyze the relationship between TCM prescription’ dosage and pharmacodynamic effect. The methods: the rats were done into diabetic model,and taken Gegen Qinlian Decoction(Radix Puerariae, Radix Scutellariae, Rhizoma Coptidis, Glycyrrhiza uralensis) which have been design using Uniform Design(UD) method, extract pharmacodynamic effect indexs from the rats, analyze the relationship between TCM prescription’ dosage and pharmacodynamic based on Orthogonal Partial Least Square Analysis(OPLS) /O2PLS.The result indicate the order of Variable importance is Radix Puerariae, Rhizoma Coptidis, Glycyrrhiza uralensis, Radix Scutellariae,and the Coefficients of TCM relative to the pharmacodynamic effect indexs.

Research for Pharmacodynamic Effect Transitive Relation Based on Regression Method

Research for pharmacodynamic effect is the only way to find new drug of traditional Chinese medicine, and is beneficial to finding the drug new acts.Traditional Chinese Medicine prescription may include some active substance group ,generate pharmacodynamic effect indexs.Whether or no some relationship among the pharmacodynamic effect indexs,is our focus of attention in the paper.Statistical methods is a important tool for research medicine and pharmacy. Explore and analyze the relationship among the pharmacodynamic effect indexs be of great signifiance,the paper put forward research for pharmacodynamic effect transitive relation based on regression method. It was proved to be feasible and effective after tested.

A New Method for Analyze Pharmacodynamic Effect of Traditional Chinese Medicine

The research for pharmacodynamic effect of Traditional Chinese Medicine with Metabolomics has multi-dimensional metabolite data. The paper purpose a new method named arithmetic average value-subtract-ratio to deal with the data and data mining,to analyze the pharmacodynamic effect of Traditional Chinese Medicine. Experiment results show that the method can mine the important information, and can get more satisfactory results. The method was proved to be feasible and effective.

Data Mining the Significance of the TCM Prescription for Pharmacodynamic Effect Indexs Based on ANN

The Traditional Chinese Medicine (TCM) Prescription include king drug,ministerial drug,assistant drug,sacrifice drug.The information may be reflected in the significance of the prescription.In the paper put forward data mining the significance of the TCM Prescription for Pharmacodynamic effect indexs based on artificial neural networks method.The aim to data mining the significance of the Gegen Qinlian Decoction(Radix Puerariae,Radix Scutellariae,Rhizoma Coptidis, Glycyrrhiza uralensis) for the pharmacodynamic effect indexs(HbA1c, CHOL, TG, XHDL, LD, INS),the method is to use artificial neural networks,the result indicate the method can mining the different significance according different Pharmacodynamic effect indexs.

Mining rules based on elastic trust granular

Uncertainty and imprecision problem is a common phenomenon in the medical diagnosis, this paper present a novel method to deal with it. The first, some new concepts such as elastic trust, elastic trust granular (ETG), inclusion and similarity relation of elastic trust (ISRET), and so on are introduced. The second, on that basis, the paper puts forward a novel distance of elastic trust granular, such as inclusion and diversity/similarity relation distance of elastic trust granular (IDSRDETG), The third, mining rules based on these concepts, is discussed. It was proved to be feasible and effective after tested with a database.