Metabolomics study of different parts of licorice from different geographical origins and their anti-inflammatory activities.

Glycyrrhiza uralensis Fisch., known as licorice, is one of the most famous traditional Chinese medicines. In this study, we perform a metabolome analysis using liquid chromatography-tandem mass spectrometry to assign bioactive components in different parts of licorice from different geographical origins in Gansu province of China. Sixteen potential biomarkers of taproots from different geographical origins were annotated, such as glycycoumarin, gancaonin Z, licoricone, and dihydroxy kanzonol H mainly exist in the sample of Jiuquan; neoliquiritin, 6'-acetylliquiritin, licochalcone B, isolicoflavonol, glycyrol, and methylated uralenin mainly exist in Glycyrrhiza uralensis from Lanzhou; gancaonin L, uralenin, and glycybridin I mainly exist in licorice from Wuwei for the first time.

[Metabolomics study of Danggui Buxue Tang on treatment of type 2 diabetes mice using UHPLC-Q-TOF-MS].

In this paper, ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UHPLC-Q-TOF-MS)-based metabolomics approach was used to explore the mechanism of Danggui Buxue Tang(DBT) in treating type 2 diabetes mellitus(T2 DM). T2 DM mice model was induced by high-sugar and high-fat fodder and streptozotocin(STZ). The routine indexes such as body weight, blood glucose, plasma insulin, IL-6 and related organ indexes were determined. The UHPLC-Q-TOF-MS technique was used to analyze the metabolism profile of serum samples between the control group and model group, and multiple statistical analysis methods including principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) were used to screen and identify biomarkers. Metabolic profiling revealed 16 metabolites as the most potential biomarkers distinguishing mice in model group from those in control group. The metabolomics pathway analysis(MetPA) was used to investigate the underlying metabolic pathways. Seven major metabolic pathways such the valine, leucine and isoleucine biosynthesis, glycerophospholipid metabolism, primary bile acid biosynthesis, taurine and hypotaurine metabolism, phenylalanine metabolism, fatty acid metabolism and biosynthesis of unsaturated fatty acid. Eleven metabolites such as taurocholic acid and palmitic acid were down-regulated in T2 DM mice, and five metabolites such as L-leucine and leukotriene E4 were up-regulated. Moreover, the sixteen biomar-kers of each administration group had a trend of returning to mice in control group. The significantly-altered metabolite levels indicated that DBT can improve the progression of type 2 diabetes by increasing insulin sensitivity, regulating sugar and lipid metabolism disorders, and relieving inflammation.

Constituents Isolated from the Leaves of Glycyrrhiza uralansis and Their Anti-Inflammatory Activities on LPS-Induced RAW264.7 Cells.

Licorice, the root and rhizome of Glycyrrhiza uralansis Fisch, is one of the most frequently used Traditional Chinese Medicines in rigorous clinical trials to remove toxins and sputum, and to relieve coughing. However, the aerial parts are not used so widely at present. It has been reported that the aerial parts have many bioactivities such as anti-microbial and anti-HIV activities. In this study, we aimed to discover the bioactive compounds from the leaves of G. uralensis. Four new compounds, licostilbene A-B (1-2) and licofuranol A-B (3-4), together with eight known flavonoids (5-12), were isolated and identified from the leaves of G. uralensis. Their structures were elucidated mainly by the interpretation of high-resolution electrospray mass spectrometry (HR-ESI-MS) and nuclear magnetic resonance (NMR) spectroscopic data. Compared with quercetin, which showed a 50% inhibitory concentration (IC50) value of 4.08 µg/mL, compounds 1-9 showed significant anti-inflammatory activities by inhibiting lipopolysaccharide (LPS)-induced nitric oxide (NO) production with IC50 values of 2.60, 2.15, 3.21, 3.25, 2.00, 3.45, 2.53, 3.13 and 3.17 µg/mL, respectively. The discovery of these active compounds is important for the prevention and treatment of inflammation.

Identification of Chemical Markers for the Discrimination of Radix Angelica sinensis Grown in Geoherb and Non-Geoherb Regions Using UHPLC-QTOF-MS/MS Based Metabolomics.

This research aimed to discover chemical markers for discriminating radix Angelica sinensis (RAS) from different regions and to explore the differences of RAS in the content of four active compounds and anti-inflammatory activities on lipopolysacchride (LPS)-induced RAW264.7 cells and calcium antagonists on the HEK 293T cells of RAS. Nine compounds were selected as characteristic chemical markers by ultra-high-performance liquid chromatography-quadrupole/time-of-flight mass spectrometry (UHPLC-QTOF-MS/MS), based on metabolomics, in order to rapidly discriminate RAS from geoherb and non-geoherb regions. The contents of senkyunolide I and butylidenephthalide in geoherb samples were higher than those in non-geoherb samples, but the contents of ferulic acid and levistolide A were lower in the geoherb samples. Furthermore, the geoherbs showed better nitric oxide (NO) inhibitory and calcium antagonistic activities than the non-geoherbs. These results demonstrate the diversity in quality of RAS between geoherbs and non-geoherbs.

Construction of Internet Business Innovation Network Model and Data Image Research under the Background of Game Theory.

Facing the fierce market competition, enterprises not only need a deeper understanding and concept renewal in marketing theory but also need a set of standardized, practical, and efficient technical means and methods. Therefore, it is urgent to develop advanced marketing analysis tools and marketing decision-making methods. Based on game theory and neural network model, this study simplifies the existing research methods. By introducing different models, an image analysis and decision-making model based on game theory and neural network is constructed. It mainly aims at enterprise decision-making. The method used is to simulate various decision-making processes of enterprises by establishing neural network model and game model. At the same time, the image simulation of the model is carried out. The results show that the highest market share of the selected products is 36.1%, and the highest brand awareness is 9 points. The product with the second market share has better quality, 8 brand awareness points, and the highest dealer fee (2.3 yuan). Market share is less affected by product price and dealer expenses. The accuracy of the designed market share neural network model is 93%. This shows that the increase of market share is not realized simply by reducing the price but by increasing the profits of distributors and improving the brand image. Market leaders have the greatest revenue and profits. There is a positive correlation between the efforts of managers and the results achieved. Internet employees' work effort is positively correlated with their basic salary. Different decisions have different effects on business models. The research of this paper provides a new idea for the innovation and development of Internet enterprise business model.

Integrated lipidomics, transcriptomics and network pharmacology analysis to reveal the mechanisms of Danggui Buxue Decoction in the treatment of diabetic nephropathy in type 2 diabetes mellitus.

ETHNOPHARMACOLOGICAL RELEVANCE: Danggui Buxue Decoction (DBT) is classical prescriptions, which contains two Traditional Chinese Medicines of Angelicae sinensis radix and Astragali radix. According to the preliminary work of our laboratory and numerous studies, it has been found that DBT has a therapeutic effect on diabetic nephropathy (DN). However, the mechanisms underlying its action remain unclear. AIM OF THE STUDY: The aim of this study was to evaluate the impact of DBT on kidney disease in diabetic mice and further explore its protective mechanism. METHODS: DN mice model was induced by high-fat fodder and streptozotocin (STZ). Qualitative and quantitative analysis of 6 compounds in DBT was carried out by HPLC, including calycosin-7-glucoside, ferulic acid, ononin, calycosin, formononetin, and levostilide A. Hematoxylin-Eosin (HE) staining was used to determine the degree of kidney pathological damage. The UPLC-Q Exactive MS technique was used to analyze the lipids metabolism profile of kidneys samples and multiple statistical analysis methods were used to screen and identify biomarkers. Transcriptomics analyses were carried out using RNAseq. The possible molecular mechanism was unraveled by network pharmacology. RESULTS: Thirty-one significantly altered lipid metabolites were identified in the model group comparing with the control group. DBT improved aberrant expression of several pathways related to lipidomics, including glycerophospholipid metabolism and sphingolipid metabolism. Comprehensive analysis indicated that DBT intervention reduced the content of Cers, phosphatidylethanolamines and phosphatidylcholines in mouse kidneys by downregulating the transcription level of Degs2 and Cers, reducing lipid accumulation and promoting Akt phosphorylation by upregulating the expression of Acers and Pdk1. Network pharmacology analysis showed that components in DBT, such as kaempferol, ferulic acid and astragaloside IV, could be responsible for the pharmacological activity of DN by regulating the AGE-RAGE, PI3K/Akt, MAPK and NF-κB signaling pathways in diabetic complications. CONCLUSIONS: These results showed that DBT may improve DN by affecting insulin resistance, chronic inflammation and lipid accumulation.

Phenolic compounds from cultivated Glycyrrhiza uralensis and their PD-1/PD-L1 inhibitory activities.

One new compound (1) and fifteen known phenolic compounds (2-16) were isolated and identified from the roots and rhizomes of Glycyrrhiza uralensis, including ten flavonoids, four coumarins, and two benzofurans compounds. Their structures were identified by NMR and MS analysis. Most of these compounds showed weak PD-1/PD-L1 inhibitory activities with the inhibition ratios from 30 to 65% at 100 uM. To our knowledge, it is the first time that their PD-1/PD-L1 inhibition activities were reported.