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OBJECTIVE@#To evaluate the antidiarrheal effect of ethanol extract of Glycyrrhiza uralensis Fisch root (GFR) in vivo and jejunal contraction in vitro.@*METHODS@#In vivo, 50 mice were divided into negative control, positive control (verapamil), low-, medium- and high-dose GFR (250, 500, 1,000 mg/kg) groups by a random number table, 10 mice in each group. The antidiarrheal activity was evaluated in castor oil-induced diarrhea mice model by evacuation index (EI). In vitro, the effects of GFR (0.01, 0.03, 0.1, 0.3, 1, 3, and 10 g/L) on the spontaneous contraction of isolated smooth muscle of rabbit jejunum and contraction of pretreated by Acetylcholine (ACh, 10 µmol/L) and KCl (60 mmol/L) were observed for 200 s. In addition, CaCl2 was accumulated to further study its mechanism after pretreating jejunal smooth muscle with GFR (1 and 3 g/L) or verapamil (0.03 and 0.1 µmol/L) in a Ca2+-free-high-K+ solution containing ethylene diamine tetraacetic acid (EDTA).@*RESULTS@#GFR (500 and 1,000 mg/kg) significantly reduced EI in castor oil-induced diarrhea model mice (P<0.01). Meanwhile, GFR (0.01, 0.03, 0.1, 0.3, 1, 3, and 10 g/L) inhibited the spontaneous contraction of rabbit jejunum (P<0.05 or P<0.01). Contraction of jejunums samples pretreated by ACh and KCl with 50% effective concentration (EC50) values was 1.05 (0.71-1.24), 0.34 (0.29-0.41) and 0.15 (0.11-0.20) g/L, respectively. In addition, GFR moved the concentration-effect curve of CaCl2 down to the right, showing a similar effect to verapamil.@*CONCLUSIONS@#GFR can effectively against diarrhea and inhibit intestinal contraction, and these antidiarrheal effects may be based on blocking L-type Ca2+ channels and muscarinic receptors.
Subject(s)
Mice , Rabbits , Animals , Antidiarrheals/adverse effects , Jejunum , Glycyrrhiza uralensis , Castor Oil/adverse effects , Calcium Chloride/adverse effects , Diarrhea/drug therapy , Plant Extracts/adverse effects , Verapamil/adverse effects , Muscle ContractionABSTRACT
Objective: A method was established to obtain fingerprint and determination of six components in Glycyrrhizae Radix et Rhizoma Pieces (GRRP) based on HPLC-PDA, and samples with four kinds of softening methods (showering moistening, steaming, 70 ℃ decompression steaming, 85 ℃ decompression steaming) were analyzed. Methods: The content of total flavonoids and total saponins was determined by ultraviolet spectrophotometry with liquiritin and glycyrrhizic acid as reference materials. Simultaneous determination of six components of liquiritin, ononin, isoliquiritin, glycyrrhizin, echinatin, glycyrrhizic acid was performed based on HPLC. Changes of the components content in the samples which treated by different softening methods were compared. The similarity evaluation of samples with different softening methods was carried out by the chromatographic fingerprint similarity evaluation system of traditional Chinese medicine, and cluster analysis was also carried out. Results: The results showed that the content of total flavonoids and total saponins in untreated samples was the highest, and the content of total flavonoids and total saponins in samples treated by showering moistening was the lowest. The three treatment methods of atmospheric pressure steaming, steaming decompression at 70 ℃ and steaming decompression at 85 ℃ had little effect on the samples. The content determination showed that the content of isoliquiritin was decreased significantly after softening treatment. The difference among the different softening treatment groups was not significant. The samples with different softening methods of the three batches of samples were grouped together with their raw products. Different softening methods had no significant difference in the composition of the medicinal herbs. Conclusion: The established method can quickly and accurately determine the six components, and in particular, the content of isoglycyrrhizin should be monitored. Combining production efficiency, production cost and quality evaluation, steaming is the most feasible in the production process. This study provided theoretical guidance for the large-scale production of softening, which was conducive to further standardizing the production process of GRRP.
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Objective: To summarize the prescription rules of traditional Chinese medicine (TCM) for treating alcoholic liver disease (ALD) based on TCM inheritance support system (V2.50). Methods: The literatures about TCM prescriptions for treating ALD were collected from CNKI, Wanfang database, and VIP database. The TCM inheritance platform system was used to analyze the prescription rules of TCM in the treatment of alcoholic liver disease. Results: Statistics showed that the majority of prescriptions were used to treat alcoholic fatty liver, alcoholic hepatitis, and alcoholic cirrhosis. Through "frequency statistics" analysis, 107 prescriptions were found involving 149 flavors of TCM, with a cumulative frequency of 1 195 times. Twenty-three Chinese medicines with a frequency of ≥ 15 times were used, and the cumulative frequency was 737 times (62%). The most frequently used medicines were blood-activating and stasis-removing drugs, water-diffusing and damp-permeating drugs, tonics, heat-clearing drugs, antialcoholic poisons and qi-regulating drugs. The commonly used doses of Salvia miltiorrhiza, Poria cocos, Bupleurum chinense, Glycyrrhiza uralensis, Atractylodes macrocephala, Alismatis Rhizoma, and Curcumae Radix in the top 10 medicines ranked in the frequency of medication accorded with the prescribed doses in the Pharmacopoeia of the People's Republic of China (2015 edition), while Crataegi Fructus, Artemisiae Scopariae Herba, and Puerariae Lobatae Radix exceeded the prescribed doses. In the frequency analysis of drug pairs, the combination of S.miltiorrhiza and B. chinense was the most widely used. According to the association rules of drug combination, the correlation between Curcumae Radix and S. miltiorrhiza was the strongest, that was, the probability of S. miltiorrhiza appearing with the emergence of Curcumae Radix was 88%. From the network display chart, it was indicated that S. miltiorrhiza and P. cocos were the main herbs for treatment. Through unsupervised entropy hierarchical clustering algorithm, 14 core combinations for new clustering were extracted, and seven new prescriptions can be obtained by further clustering. Conclusion: The basic principles of TCM treatment of ALD include promoting blood circulation and removing blood stasis, removing dampness, tonifying, detoxifying alcohol, and promoting qi, and with "protecting spleen and stomach function" as its purpose, which accords with the theoretical basis of traditional Chinese medicine in treating alcoholic liver disease. Core combinations and new prescriptions provide references for clinical drug use and new drug research and development, but new prescriptions must be further evaluated with the combination of traditional Chinese medicine theory and clinical practice.
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Objective: To analyze the rules of coronary heart disease syndrome differentiation based on the data mining technology. Methods: First of all, the famous medical records and prescriptions were collected and normalized to construct the database of coronary heart disease prescriptions. Then, IBM SPSS Statistics 20.0, a statistical software, was used to conduct statistics on the distribution of drug frequency, disease site syndrome frequency and disease syndrome frequency. Finally, the Apriori algorithm was applied to carry out data mining and analyze the underlying law of drug compatibility. Results: A total of 145 prescriptions were selected and analyzed, including 216 Chinese medicines, eight syndromes of disease location and 12 syndromes of disease nature. Forty-six herbs with higher frequency were found, and the top five TCM herbs were Salvia miltiorrhiza, Glycyrrhiza uralensis, Trichosanthes kirilowii, Pinellia ternata and Ligusticum chuanxiong. The main syndromes of disease location were heart, kidney, spleen and liver, while the main syndromes of disease nature were blood stasis, qi deficiency, phlegm, deficiency of yang, qi stagnation, and deficiency of yin. When the minimum support was 15% and the minimum confidence coefficient was 70%, the association rule analysis results showed that a total of 15 association rules for two-herb-combinations and 26 association rules for the trigeminy medications were obtained. The most frequency two-herb-combinations were Allium macrostemon→T. kirilowii", "Schisandra chinensis→Ophiopogon japonicus", "Curcumae Radix→S. miltiorrhiza. The most frequently used trigeminy medications were A. macrostemon + P. ternata→T. kirilowii, S. miltiorrhiza + A. macrostemon→T. kirilowii and A. macrostemon + G. uralensis→T. kirilowii. Conclusion: The syndrome differentiation and medication of TCM in the treatment of coronary heart disease mainly focus on invigorating the circulation of blood and resolving stasis, moving qi, nourishing and replenishing qi, clearing up phlegms. It is consistent with the main syndromes of the disease nature, such as blood stasis and qi deficiency, and the herbs mostly return to the heart meridian, which is consistent with the main syndromes of the disease location. The rules of syndrome differentiation and medication of based on the data mining technique have great value for clinical medication guidance and application to analyze the prescription for coronary heart disease.
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Objective: To isolate and purify endophytic fungus from Glycyrrhiza uralensis, and screen the specific strain with better antibacterial and antioxidant activity (DPPH• radical scavenging, total reducing power, determination of hydroxyl radical scavenging) and anti-alpha-glucosidase activity. Methods: The endophytic fungi were isolated and purified from G. uralensis by tissue cutting. N-butanol, ethyl acetate and ethanol were used to extract the fermentation liquid and mycelium. Antibacterial activity was detected by filter paper. Three methods were used to characterize antioxidant activity. A total of 36 endophytic fungi were isolated from G. uralensis by PNPG method. Results: A total of seven genera were isolated from 108 samples by concentrated fermentation liquid extraction. Trichoderma. sp was the dominant species. The experimental results showed that 43.52% of the samples had different degrees of antibacterial effect, of which 8.33% performed well; The extracts showed different levels of antioxidant activity, of which 4.63% to 10.12% showed better performance in the three methods. 99.07% of the samples had different levels of anti-α-glucosidase activity, of which 5.56% of the samples performed well. Conclusion: The strains isolated from G. uralensis have good antibacterial activity, antioxidant activity, and anti-alpha-glucosidase activity, which further study is needed.
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OBJECTIVE: To establish the HPLC specific chromatogram of licorice flavonoids based on chemometric analysis method, and search for differentiated components of Glycyrrhiza uralensis Fisch. cultivated for different years. METHODS: The analysis was performed on a Shiseido Capcell Pak C18 column(4.6 mm×250 mm,5 μm) by gradient elution with acetonitrile-0.1% formic acid solution as mobile phase at a flow rate of 1.0 mL•min-1. The column temperature was maintained at 40℃ and the detection wavelength was set at 280 nm. The HPLC specific chromatograms of Glycyrrhiza uralensis Fisch. cultivated for different years were further evaluated by chemometric methods including similarity analysis (SA),hierarchical clustering analysis (HCA) and principal component analysis (PCA). RESULTS: Four-years-old licorice was confirmed as the best one. Liquiritin, liquiritin apioside, liquiritigenin and isoliquiritin had significant differences, which can be used as key indicators to distinguish Glycyrrhiza uralensis Fisch. cultivated for different years. CONCLUSION: This method can provide reference for standardized cultivation and quality standard improvement of licorice.
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OBJECTIVEP: To evaluate comprehensively the quality of Glycyrrhiza uralensis Fisch. in different harvest periods by chemometric analysis based on the HPLC specific chromatogram and multi-component assay. METHODS: The similarity was analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Chinese Materia Medica 2012". t-test, correlation analysis, clustering analysis(HCA), principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were used for data analysis. RESULTS: Twenty-one peaks were selected as common peaks of the fingerprint. The similarity of the samples were above 0.9. The contents of liquiritin, glycyrrhizic acid, liquiritin apioside, isoliquiritin apioside, isoliquiritin, neoisoliquiritin, echinatin, and liquiritigenin were determined.There were some differences in the quality of Glycyrrhiza uralensis Fisch. in different harvest periods, with liquiritin apioside, neoisoliquiritin and echinatin as the main compounds of difference. CONCLUSION: Autumn is confirmed as the best harvesting period of Glycyrrhiza uralensis Fisch. by chemometric analysis. It is suggested that liquiritin apioside should be used as the key quality control indicator for evaluating Glycyrrhiza uralensis Fisch.in different harvest periods.
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Objsective: Glycyrrhizia uralensis, one of the most widely-used traditional Chinese medicines, is mainly cropped in China. However, many cultivars are less in glycyrrhizic acid than Chinese Pharmacopoeia requires. In this paper, we improved glycyrrhizic acid by regulating β-amyrin synthase gene (GuBAS). Methods: Tobacco root-specific promoter TobRB7 and GuBAS cDNA were obtained and combined with linearized pCAMBIA1305.1 to construct root-specific plant expression vector which was later transformed into Agrobacterium rhizogenes ACCC10060 by electrotransformation. The cotyledons and hypocotyls of G. uralensis were infected by the recombinant A. rhizogenes ACCC10060 to induce hairy roots. The GA content was quantified by HPLC. Results: The PCR and sequencing results both showed that three transgenic hairy root lines were obtained. The copy number of GuBAS in these transgenic hairy roots was intended by qRT-PCR to be 3, 7, and 4. GA was detected by HPLC, and the results showed that GA was present in the three transgenic hairy roots, while absent in wild hairy roots. Conclusion: Over-expressing GuBAS root-specifically in hairy roots of G. uralensis enhanced GA accumulation.
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Objective Based on the main morphological traits and chemical constituents of 42 Glycyrrhiza uralensis germplasm in China, the genetic diversity of them was analyzed comprehensively. Methods Twelve morphological traits and five kinds of chemical components of G. uralensis germplasm transplanted in the same place were collected. The genetic diversity index and coefficient of variation were calculated, using cluster analysis and principal component analysis for statistical analysis. Results Among the five chemical constituents, the highest genetic diversity index of liquiritin content was 2.05; The maximum coefficient of variation of isoliquiritin content was 99.50%; The content of liquiritin was moderately correlated with the content of isoliquiritin. Among 12 morphological traits, the highest genetic diversity index of plant height was 2.08, and the maximum coefficient of variation of actual fruit sequence was 37.09%. The variation of fruit type and plant type was greater than that of leaf type. Cluster analysis divided 42 germplasms into three types, and the second group had better germplasm quality. The principal component analysis reduced 17 indicators to six factors, with a cumulative contribution rate of 72.96%. Factor 6 was a factor that represents glycyrrhizic acid, liquiritin, and isoliquiritin. Conclusion The genetic diversity of the main morphological traits and chemical constituents of 42 G. uralensis germplasms is rich, and six excellent germplasms are V08, V10, V17, V34, V36, and V38.
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Objective Taking the concentration process of liquorice extract as the research object, the dynamic simulation process of concentration of Chinese materia medica (CMM) was constructed by combining experimental analysis with theoretical simulation, which provided the model support and theoretical analysis basis for the process research and equipment development of concentration process of CMM. Methods The corresponding relationship between boiling point and saturated vapor pressure of liquorice solution was determined by dynamic method. The experimental data were fitted by thermodynamic model to obtain relevant parameters. On this basis, the simulation process of liquorice water extract concentration was constructed by using ASPEN PLUS. According to the simulation of dynamic process, the effects of heating power, feed rate, and vacuum degree on liquorice solution concentration process in an external thermal concentrator were discussed. Finally, the equations about concentration time and heating power were obtained by simulation. Results The results of parameter fitting were Aij = 1.63, Aji = 2.32, Bij = 336.38, Bji = 792.00, and Cij = 0.5. Finally, the functional equation for the concentration time and heating power was t = 2 329 c1H/c0Q. Conclusion In this study, the effects of different process parameters on the concentration process of TCM were analyzed by simulation and related theories, and a simple prediction of the concentration process was realized. It also perfected and optimized the process simulation data, filled the relevant scientific research gap, and was of great significance to industrial guidance. Firstly, the relevant experimental data was obtained by fitting the thermodynamic model with the relevant experimental data. Then, under the ideal process conditions, the influencing factors of liquorice concentration process were analyzed and discussed by dynamic simulation. It was concluded that heating power was the key factor affecting the concentration process, and the concentration time gradually decreased with the increase of heating power. However, their functional relationship was non-linear. At the same time, the functional equation can be used to roughly predict the concentration time of CMM. To a certain extent, this fills in the gap between the related theoretical research and data of chemical thermodynamics, which provides theoretical support for the process research and equipment development of the concentration process of CMM.
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Objective To establish a complexation extraction and back extraction technology for the separation and purification of liquiritin from Glycyrrhiza uralensis ultrafiltrate. Methods Taking the extraction rate of liquiritin as an index, the optimum composition of complexing extractant was first determined by uniform design, and then orthogonal experiments were used to optimize the conditions of complexing extraction. Taking the back extraction rate of liquiritin as an index, the process conditions for the back extraction of liquiritin were determined by investigating the type and concentration of back extractant. Results The complexation extraction research found that the complexing extractant should be a binary complexing extractant composed of trialkyl phosphine oxide (TRPO) and sulfonated kerosene. The optimum extraction conditions for liquiritin were as follows: TRPO-sulfonated kerosene (9∶91), pH value of G. uralensis ultrafiltrate was adjusted to 4, volume ratio of organic phase to aqueous phase was 1∶1, and average extraction rate of liquiritin reached 99.6%. The study of back extraction process showed that under the condition that the volume ratio of organic phase to back extractant was 1∶1, 17.5 mmol/L NaOH aqueous solution was the best back extractant, and the back extraction rate of liquiritin was 99.3%. Conclusion Under the optimized conditions, the liquiritin in G. uralensis ultrafiltrate can smoothly transfer from the ultrafiltrate to the complexing extractant and then to the alkaline back extractant. The total transfer rate of liquiritin is as high as 98.9%. This paper can provide a new preparation technology for the separation and purification of liquiritin.
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Objective To clone a new NADPH cytochrome P450 reductase gene (GuCPR) (Login number: MH401048) from Glycyrrhiza uralensis and do some bioinformatics analysis. Methods Total RNA was extracted from the roots of G. uralensis and then transcription reversed into cDNA. The GuCPR gene was obtained by screening the transcriptome database. The NCBI ORF finder was used to obtain its open reading frame and translated amino acid sequence, design primers for PCR amplification, construction of recombinant cloned plasmid. Bioinformatics analysis was used to predict the protein properties, structure and model the tertiary structure of the protein, and homologous phylogenetic tree construction was performed. Results cDNA of GuCPR gene was cloned to a total length of 2 118 bp and encoded 705 amino acid residues with a relative molecular mass of 78 450. Electricity (pI) 5.19. GuCPR protein was a non-secretory protein and did not have a signal recognition function. The results of transmembrane prediction showed that the amino acids 44—64 of the protein were transmembrane regions. Meanwhile, the subcellular localization prediction results showed that the protein was located on the endoplasmic reticulum. Conclusion A new GuCPR was cloned and its bioinformatics analysis laid the foundation for further research.
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Objective: The HPLC fingerprints of water extracts and alcohol extracts of Glycyrrhiza uralensis from different producing areas were established in order to provide reference for the quality control and the extraction and processing methods. Methods: The HPLC fingerprints of water extracts and alcohol extracts of 10 batches of G. uralensis from different producing areas were established by HPLC method, and the similarity evaluation and hierarchical cluster analysis of the obtained fingerprint data were carried out. Results: The fingerprint of water extracts and ethanol extracts of G. uralensis was established. There were 16 common peaks were identified from fingerprints of water extracts, and six components were identified, meanwhile, the fingerprints of water extracts showed that the similarity of 10 batches of G. uralensis was in the range of 0.030 and 0.999. Sixty common peaks were identified from fingerprints of ethanol extracts, and seven components were identified, meanwhile, the fingerprints of ethanol extracts showed that the similarity of 10 batches of G. uralensis were all greater than 0.85. The results of hierarchical cluster analysis showed that the water extracts and alcohol extracts of G. uralensis in different areas could be well classified, suggesting that natural factors such as the climate, soil conditions and other natural factors had a significant impact on the internal quality of licorice. Conclusion: A stable and reliable HPLC fingerprint evaluation method for water extracts and alcohol extracts of G uralensis has been established, which can provide a powerful theoretical basis and a guidance for the study of quality standard of G. uralensis and the optimization of extraction and processing technology, and provide a scientific basis for the choice of clinical medication.
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Objective To evaluate the effects of compatibility of Glycyrrhiza uralensis and Laminaria japonica on liver and kidney functions as well as serum indexes in rats. Methods A total of 24 male SD rats were randomly divided into four groups. Group 1 was served as control and only received vehicle. Group 2 and group 3 were orally dosed of G. uralensis extracts (2.8 g/kg) and L. japonica extracts (3.8 g/kg) once daily, respectively. Group 4 was orally dosed with 6.8 g/kg of G. uralensis-L. japonica extracts once daily. The experimental rats were treated corresponding extracts or vehicle for 17 weeks. During the experiment, the weight of rats, organ coefficient, biochemical indexes, and liver histopathological photograms in each group were measured. Meanwhile, plasma glycyrrhetinic acid concentration in G. uralensis extract group and G. uralensis-L. japonica extract group were observed. Results The water extraction components from G. uralensis and L. japonica groups could significantly reduce the level of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), cholinesterase (CHE), total bile acid (TBA), and total bilirubin (TBIL) comparing with control group (P < 0.05). While the G. uralensis-L. japonica extracts group could reverse these biochemistry indexes. G. uralensis-L. japonica extracts markedly increased the plasma concentration and exposure of glycyrrhetinic acid. Electrolyte metabolism balance was disordered after long-term treatment of G. uralensis, L. japonica and G. uralensis-L. japonica extracts, showing the level of sodium (Na+), potassium (K+), and chloride ion (Cl-) in these three groups were significantly higher than that in control group. Conclusion These results indicated that G. uralensis or L. japonica extracts might has hepatoprotective effects. However, G. uralensis-L. japonica extracts attenuated the hepatoprotective effects, which might result from the increased plasma concentration of glycyrrhetinic acid.
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Objective To investigate the effects of Glycyrrhiza uralensis Fisch L. crude polysac-charides (GUCP) as an adjuvant on the immunity of mice and the immune responses induced by human pap-illoma virus ( HPV)-DNA vaccine. Methods ICR mice were injected with different concentrations of GUCP by different ways to detect the influences of GUCP on body weight, organ indexes and the numbers of immune cells in spleen. C57BL/ 6 mice were co-immunized with HPV-DNA vaccine and GUCP to detect the adjuvant efficacy on antigen-specific cellular and humoral immune responses. Results GUCP in all injected groups had no side effect on mouse body weight and liver, heart, lung and kidney indexes, but intraperitone-al injection of GUCP significantly increased spleen and thymus indexes and the numbers of B cells, CD4+ T cells, macrophages and dendritic cells in spleen. Subcutaneous injection of GUCP significantly increased the numbers of B cells and macrophages in spleen and intragastric administration significantly increased the num-bers of CD4+ and CD8+ T cells in spleen. Furthermore, GUCP as an adjuvant enhanced the antigen-specific CD4+ and CD8+ T cell responses and the levels of IgG, IgG1 and IgG2a induced by HPV-DNA vaccine at a certain degree. Conclusion GUCP enhanced the immunity of mice and the antigen-specific cellular and hu-moral immune responses induced by HPV-DNA vaccine. These results suggested that GUCP might be used as an adjuvant for DNA vaccine.
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Objective To investigate the effects of water extract of Glycyrrhiza uralensis Fisch.(GUWE) on the activation of RAW264.7 cells and the possible mechanism.Methods RAW264.7 cells were treated with GUWE containing different concentrations of polysaccharide (10, 50, 100, 500 μg/ml).Viability of these cells was analyzed by MTT assay.Phagocytic activity and surface molecules expressed on these cells were detected by flow cytometry.Levels of cytokines were analyzed by ELISA.Western blot assay was performed to analyze the activation of key molecules in TLR4 signaling pathway.Results GUWE at the concentration of 500 μg/ml significantly decreased the viability of RAW264.7 cells, but significantly increased the viability of RAW264.7 cells at concentrations of 50 μg/ml and 100 μg/ml.GUWE significantly enhanced the phagocytic activity of RAW264.7 cells as well as the expression of cytokines and costimulatory molecules in a dose-dependent manner.Further analysis indicated that the activation of RAW264.7 cells induced by GUWE was suppressed by TLR4 inhibitor.Moreover, GUWE enhanced the phosphorylation of NF-kB p65 and TLR4 downstream mitogen-activated protein kinases (MAPKs) including p38, extracellular signal-regulated kinase (ERK) and c-Jun NH2-terminal kinase (JNK).Conclusion This study indicates that GUWE promotes the activation of RAW264.7 cells through TLR4 signaling pathway.
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Objective: To optimize the processing technology of Hemsleya omeiensis processed by licorice juice. Methods: HPLC was employed to determine the content of hemslecin A.Taking content of hemslecin A as index, the orthogonal test was adopted to optimize the covered moistening time, drying-time, and processing temperature. And the central composite design-response surface methodology (CCD-RSM) was adapted to optimize moistening time and drying-time further. Results: The optimum processing technology of H. omeiensis by the orthogonal test was covered moistening time of 7 h, drying-time of 12 h, and processing temperature at 80℃. The optimum processing technology by CCD-RSM was covered moistening time of 7.48-8.56 h, drying-time of 12.06-13.12 h, and processing temperature at 80℃. Conclusion: The experimental design method is precise and the data are reliable with the model. It is the first time that H. omeiensis is processed with licorice juice. Besides, it establishes the processing technology of H. omeiensis and provides a theoretical basis for the processing technology of H. omeiensis with licorice juice.
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Introduction: Pathologies of hair growth can be psychologically distressing but they are poorly controlled. Hormones and paracrine factors regulate the hair follicle and its associated glands. However, our understanding of their mechanisms is limited, restricting the development of new treatments for hair disorders. Therefore better treatments for hair loss disorders are required. Some plant extracts are believed to have effect on hair growth. Urtica Cannabina L and other are used traditionally as stimulators of human hair growth, but their effects on hair growth in vivo has not been studied yet. Goal: The aim of this study was to investigate the actual effects of those local plant extracts used as a traditional herbal treatment for hair loss, using in vivo mouse model; and to compare their effectiveness with the best medical treatment available. Material and methods: Effects of extracts from Urtica Cannabina L, and Glycyrrhiza uralensis Fisch both prepared separately and mixed at recommended concentrations. Experimental groups were compared with standard (positive control) and negative control groups. Shaved back of Balb/c mice (4 weeks old) were treated daily for 28 days (four groups, n=6 per group), and degree of their effectiveness was observed and compared with each other and with both of positive and negative control. Results: show that mixture of the two herbal extract have similar significant hair growth promotion effect compared with other groups and negative control. Therefore, extracts stimulates rodent pelage follicles in vivo, thus possible to use as promoter of hair growth. Keywords: Urtica Cannabina L, Glycyrrhiza uralensis Fisch, hair follicle, hair loss, mice.
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Objective: To study the chemical constituents from the aerial parts of Glycyrrhiza uralensis. Methods: The compounds were isolated and purified by silica gel, Sephadex LH-20 column chromatography, and HPLC. The structures of the compounds were identified on the basis of chemical and spectral methods. Results: Twelve compounds were isolated from the ethanol extract of the the the aerial parts of G. uralensis and identified as (2S)-3'-(2-hydroxy-3-methylbut-3-enyl)-4',5,7-trihydroxy-dihydroflavanone (1), pinocembrin (2), sigmoidin B (3), licoflavanone (4), 6-prenylnaringenin (5), pinobanksin (6), galangin (7), genistein (8), pratensein (9), kaempferol-3-O-β-D-rutinoside (10), rutin (11), and α,α'-dihydro-3,5,3'-trihydroxy-4'-methoxy-5'-isopentenyl-stilbene (12). Conclusion: Compound 1 is a new compound named hydroxylicoflavanone, and compounds 3, 6, 7, and 9 are isolated from this plant for the first time.
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Objective: To provide a good start for understanding the roles of micoRNA in Glycyrrhiza uralensis, the microRNAs and their target genes were predicted using bioinformatic approach. Methods: The deep sequencing data and EST sequences downloaded from public database were assembled using the Trinity and Assembler softwares to establish the transcriptome database. Since most of the plant miRNAs were conserved in plant species, all plant miRNAs stem-loop precursors were aligned to the assembled transcriptome database and the putative miRNA precursors were identified according to a rigorous criterion. psRNATarget was employed to predicted the targets of miRNA. Results: A general transcriptome database with 88 and 263 sequences was obtained. Based on the transcriptomic sequences, 49 miRNA, classified into 17 families, arising from 30 stem-loop precursors, were identified. A total of 172 genes were predicted to be regulated by these miRNA, and these genes were involved into diversified biological processes including gene transcription regulation, signal transduction, development regulation, and defense response. Conclusion: The miRNAs and the corresponding target genes identified in this study will provide a solid basis for understanding their biological functions in G. uralensis.