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ObjectiveTo observe the effect of ethyl acetate extract of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis on high-fat diet-induced apolipoprotein E gene knockout （ApoE-/-） mice， and explore its mechanism of treating atherosclerosis by regulating intestinal flora. MethodThirty-two 8-week-old male ApoE-/- mice were randomly divided into model group， rosuvastatin group （10 mg·kg-1）， high-， low-dose groups of ethyl acetate extract of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis （75， 25 mg·kg-1）， with 8 mice in each group. Eight C57BL/6 mice were used as blank group. After 8 weeks of continuous administration， blood was taken to determine the blood lipid level. Enzyme-linked immunosorbent assay （ELISA） was used to detect the contents of related indexes in serum of mice. Hematoxylin-eosin （HE） staining was used to observe the formation of aortic plaque in mice. Cecal contents were collected and 16S rRNA amplicon sequencing was used to detect intestinal flora. ResultCompared with the blank group， the plaque area of the model group was significantly increased with inflammatory infiltration， the contents of triglyceride （TG）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， inflammatory factors and inducible nitric oxide synthase （iNOS） were increased， while the content of high-density lipoprotein cholesterol （HDL-C） was decreased. Compared with the model group， rosuvastatin group and high- and low-dose groups of ethyl acetate extract of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis could improve the deposition of aortic plaque， reduce the contents of TG， TC， LDL-C， inflammatory factors and iNOS， and increase the content of HDL-C. Compared with the blank group， the relative abundances of Firmicutes and Proteobacteria in the model group increased， while the relative abundance of Bacteroidetes decreased. Alpha and Beta diversity analysis showed that samples of each group could be significantly isolated， and the total number and abundance of intestinal flora species in the model group were low. Compared with the model group， ethyl acetate extract of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis could increase the relative abundance of beneficial bacteria and decrease the relative abundance of pathogenic bacteria. ConclusionEthyl acetate extract of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis was mainly composed of flavonoids， which can treat atherosclerosis by regulating the intestinal flora and improve the pathological changes in the aorta of ApoE-/- mice induced by high-fat diet. The mechanism may be related to its ability to reduce the level of inflammatory factors， improve antioxidant capacity and repair the disorder of intestinal flora structure.
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Objective:To compare the adsorption and desorption properties of different anion exchange resins for total ginsenosides， clarify their adsorption/desorption mechanism， and establish a simple protocol for the purification of total ginsenosides. Method:The adsorption and desorption properties of five different resins （D301， D315， D312， D330， D201） on total ginsenosides were evaluated with specific adsorption capacity， specific desorption capacity， desorption rate and recovery rate as indices. The adsorption kinetics and thermodynamics of the selected resin and D101 macroporous resin were investigated by pseudo-first-order and pseudo-second-order kinetic models， as well as Langmuir and Freundlich isothermal adsorption models， and the differences of adsorption mechanism between anion exchange resin and conventional macroporous resin were elucidated. The dynamic adsorption and desorption experiments were used to determine the optimum chromatographic parameters for anion exchange resin. After verifying the purification process of total ginsenosides， nine individual ginsenosides were qualitatively and quantitatively analyzed by liquid chromatography-mass spectrometry （LC-MS）. Result:D301 anion exchange resin was obviously superior to the other four kinds of anion exchange resin， the optimum parameters were set as follows：pH 8 of loading solution， loading volume of 2 BV， loading speed of 4 BV·h<sup>-1</sup>， eluted with 3 BV of water and 20% ethanol for the impurities， eluted with 8 BV of 80% ethanol with elution speed of 4 BV·h<sup>-1</sup>. After purified by D301 resin， the enrichment coefficients of 9 monomer ginsenosides were simultaneously increased to different degrees， the overall enrichment coefficient was up to 5.3， the recovery rate for the total amount of these ginsenosides was calculated to be 80.9%， and the purity of total ginsenosides in Ginseng Radix et Rhizoma extract increased from 17.07% to 91.19%. Conclusion:D301 anion exchange resin is suitable for rapid and practical purification of total ginsenosides， hence allowing for the enrichment of high-purity total ginsenosides from Ginseng Radix et Rhizoma via one-dimensional column chromatography.
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Objective: To optimize the extraction conditions of baicalin from Scutellariae Radix by electromagnetic pyrolysis. Method: Based on single factor experiments, taking extraction time, material size and liquid-material ratio as factors, yield of baicalin as index, extraction parameters were optimized by response surface methodology, and compared with ultrasonic method, ethanol refluxing method and decoction method. Result: The optimal extraction conditions were as follows:extraction time of 2.41 min, material size of 100 mesh, liquid-material ratio of 33 mL·g-1. Under these conditions, the yield of baicalin was 12.21%. The yields of baicalin by ethanol refluxing method, decoction method and ultrasonic method were 12.91%, 12.62% and 11.61%, respectively. The yield of baicalin by electromagnetic cracking extraction was close to several other conventional extraction methods, and the extraction time was significantly shortened. Conclusion: As a novel extraction technology of traditional Chinese medicine, electromagnetic cracking extraction has the advantages of high efficiency, energy and time saving, green environmental protection, etc. And it can provide a new method for the industrial extraction of baicalin.
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AIM To fit the moisture adsorption models for Astragali Radix aqueous extract.METHODS For the aqueous extract prepared by decocting,the moisture adsorption kinetics curve and adsorption/desorption isotherms were drawn by gravimetry,and then the data on moisture adsorption were fitted.The fitted models were optimized according to evaluation indices of root mean square error (RMSE),residual sum of squares (RSS) and coefficient of determination (R2).RESULTS The double exponential model for moisture adsorption kinetics curve and Peleg model for adsorption/desorption isotherms were considered as the two best models with regard to their fitting effects (R2 values were the closest to 1,RMSE and RSS values were the closest to 0).Among them,various adsorption/desorption isotherms all belonged to type Ⅱ ("S" isotherm),while the higher equilibrium moisture content of desorption isotherm than that of adsorption isotherm contributed to obvious type H3 hysteresis phenomenon.CONCLUSION Double exponential model and Peleg model can well fit the moisture adsorption kinetics curve and adsorption/desorption isotherms of Astragali Radix aqueous extract,respectively.
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The differences in the spatial distribution of regional Chinese material medicine resources between regions are determined by differences in natural conditions and social resources among different regions. Spatiotemporal evolution of the distribution of Chinese material medicine resources is a manifestation of the development process of Chinese medicine industry in time and space. The spatiotemporal evolution of the distribution of regional Chinese material medicine resources can reveal the regularity of spatial distribution of Chinese material medicine resources. County as the basic unit of the national material medicine resources census, the difference of resource endowment is of great significance to the rational development of Chinese material medicine resources policy and the coordinated development of regional resources and environment. Based on the results of the pilot project of Jilin province, this study selected 51 counties that had completed the census of Chinese material medicine resources. According to the species of Chinese material medicine resources, we explored the diversity of Chinese material medicine resources in Jilin province by using statistical data analysis (ESDA), trend surface analysis and spatial variability function to analyze the spatial differences of Chinese material medicine resources. Chinese material medicine resources are distributed in the eastern and southeastern part of Jilin province, mostly in the Changbai Mountains. The species of Chinese material medicine resources tend to be low-value spatial aggregation; the overall cold spots are located in Changchun and Jilin city, near the administrative center, mostly urban built-up area. The rich areas of Chinese material medicine resources are rich in hot spots, mainly in broad-leaved forest. The low-abundance of Chinese material medicine resources is dominated by cultivated vegetation.
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Due to the particularity of ginseng cultivation, the soil fertility of cultivated ginseng is seriously depleted, so that the cultivated ginseng land can not be reused in the short term, and the land area available for cultivating ginseng becomes less and less with the growth of ginseng cultivation time. Therefore, in order to effectively manage ginseng cultivation, and achieve the sustainable use of ginseng land, it is necessary to obtain accurate information on the distribution of ginseng planting space. In this study, the object-oriented classification method based on rule set was used to extract ginseng planting area based on the ZY-3 satellite data in Fusong county, Jilin province. Firstly, multi-scale segmentation of ZY-3 remote sensing image in the study area was made, and the optimal segmentation scale was determined on the basis of multi-scale segmentation results. Secondly, a spectral curve according to the different feature type samples was generated. The similarities and differences between ginseng plot and other types of surface features were analyzed, and a rule set based on the results of spectral analysis was established to achieve the final extraction. The results show that the object-oriented classification method based on rule set can effectively extract the ginseng planting plots in the study area, and solve the problem that the extraction result is broken compared with the traditional pixel-based classification method.
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Geo-herbals are preferred by long-term clinical application of Chinese medicine, they are produced in a specific area and affected by the specific production and processing methods. Geo-herbals have a high reputation, compared with other regions produced by the same kind of herbs with good quality, efficacy and stable quality characteristics. Geo-herbal is a unique concept that has been formed by the history of Chinese civilization for thousands of years and the history of Chinese medicine. According to the definition of geo-herbal, it can be seen that there are some differences in the quality and efficacy of the same kind of medicinal herbs in different regions, and there is some similarity in the specific area. In this study, the spatial distribution characteristics of artemisinin in Artemisia annua were analyzed by spatial statistical analysis. ①The spatial autocorrelation of artemisinin content was analyzed by "I coefficient". The results showed that the content of artemisinin in each province was significant and positive spatial autocorrelation. The content of artemisinin in each province was not randomly distributed, but with a clear spatial aggregation characteristics. ②The spatial variability of artemisinin content was analyzed by "G statistic". The results showed that the area with high content of artemisinin was distributed in the southwest region, and the content of artemisinin was concentrated in the space, which tends to accumulate at high value. The content of artemisinin in Tianjin and Liaoning province is low, and it tends to accumulate at low value, while the content of artemisinin in other provinces is the transition zone of high and low value. ③Based on the index of artemisinin in each province, the spatial correlation of artemisinin content in each region was analyzed by "moran scatter plot". The results showed that the content of artemisinin in nine provinces such as Guangxi and Chongqing belonged to high value gathering area. ④Based on the artemisinin content and ecological environment factor of sampling point, the "geophysical detector" was used to analyze the continuous quantitative data and discontinuous qualitative data. The results showed that the sunshine, temperature and precipitation were the main factors affecting the content of artemisinin.
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Artemisiae Annuae Herba has used as a medicine for more than 2 000 years. To infer based on the modern study results, Artemisiae Annuae Herba used for the treatment of malaria recorded in Zhou Hou Bei Ji Fang before 1 700 years should come from Artemisia annua. Based on the data of Chinese materia medica, from the field of treatment hotness and preventing attack of malaria etc., the Dao-di producing district of Artemisiae Annuae Herba should at Jingzhou (now Hubei) and surrounding areas in history. From the view of anti-malaria components artemisinin content, the Dao-di growing producing district of Artemisiae Annuae Herba should locate at Chongqing, Guangxi and its surrounding provinces. The study results showed that A. annua was harvested in flower bloom at autumn, and in this time it also had higher artemisinin content. If A. annua was stored exceed six months, artemisinin could be degraded about thirty percent. So it should be stored in a cool and dry place generally. Wild A. annua had a rich genetic diversity. Artemisinin content of A. annua breeding in experimental field could reache to two percent.
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This paper was aimed to explore the relationship between Artemisia annua and tumor, and investigate its anti-tumor mechanism based on the bioinformatics molecular network analysis, text mining technique and other related methods. Text mining tool Polysearch database was used to get the information, and after formatting conversion, the information was imported into the bioinformatics analysis software Cytoscape3.2.1 for visualization and subsequent bioinformatics molecular network analysis .It was shown that the A. annua was associated with the tumor by 8 key proteins： TNF,VEGF,PI3K, ALDH1, Bcl-2, MicroRNA, p38 and CASP3 by text mining technique. The main biological processes involved in its anti-tumor effect included cell cycle, post-translational protein modification, cell cycle regulation, protein ubiquitination and organelle tissues regulation. The key network analysis showed that the action may be achieved by regulation of triglyceride metabolic process, positive regulation of triglyceride metabolic process, positive regulation of triglyceride catabolic process, regulation of budding cell apical bud growth, negative regulation of mitotic cell cycle, negative regulation of meiotic cell cycle, and positive regulation of transcription factors. The results showed that the anti-tumor effect of A. annua may be associated with regulating lipid metabolism of tumor cells, decomposing large amounts of lipids, releasing energy, reducing the rate of tumor cell division and accelerating tumor cell apoptosis.
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To explore the pharmacological principle of Artemisia carvifolia,the text mining technique was used. All the references of A. carvifolia were collected from PubMed database, and then the rules of the main ingredient,relative diseases, organs, tissues, proteins and metabolites were analyzed. Finally, a network was set up. Then it was found that the main ingredients included sesquiterpenoids,flavonoids,and volatileoils.The diseases such as malaria, cerebral malaria, falciparum malaria, visceral leishmaniasis and systemic lupus erythematosus were often treated with A. carvifolia. In association in organ were the liver, skin, trachea,lungs,and spleen.Correlations with tissues were mainly including macrophages, T lymphocytes, blood vessels, epithelial cells.The protein was correlation with it involved CYP450, PI3K, TNF-α, AASDPPT, DNA polymerase and so on. Comprehensive and systematic treatment principle of A. carvifolia was obtained by text mining, which was helpful in clinical application.
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<p><b>OBJECTIVE</b>To investigate the effect of arsenic trioxide (As2O3) on expression of anti-oncogene RAS association domain family gene 1A(RASSF1A) in nasopharyngeal carcinoma cell line CNE-2Z.</p><p><b>METHODS</b>CNE-2Z cells were treated with various concentrations of As2O3 for different times. The IC(50) values were detected by trypan blue stain assay. Cell cycle redistribution was analyzed by flow cytometry. The final concentration 2 micromol/L, 1 micromol/L, 0.5 micromol/L of As2O3 was added to CNE-2Z cell for succedent experiments. The controls and no drugs of CNE-2Z cells were cultivated for 48 h. Methylation specific PCR was used to detect the change of methylation status of RASSF1A gene. The expression of RASSF1A gene was detected by reverse transcription PCR and Western blot at mRNA and protein level.</p><p><b>RESULTS</b>The suppression of cell proliferation by As2O3 was time and dose-dependent. After being treated with As2O3, the IC(50) values of As2O3 were (1.50 +/- 0.05), (1.09 +/- 0.13), (0.65 +/- 0.04) micromol/L at 24, 48, and 72 h, respectively. As2O3 also arrested CNE-2Z cells in G2/M phase of cell cycle. After the effect of As2O3, the methylation of RASSF1A gene became weaker by increasing the concentration of As2O3; and the expression of RASSF1A gene became stronger at mRNA and protein level. Between different concentration of As2O3 group and no drugs group, the differences had statistical significance (P < 0.05). Along with increasing the concentration of As2O3, the expression of RASSF1A gene became stronger at mRNA and protein level, the methylation of RASSF1A gene became weaker and weaker.</p><p><b>CONCLUSIONS</b>As2O3 can activate the expression of RASSF1A gene to inhibit the cell cycle progress of nasopharyngeal carcinoma cell line.</p>