Objective To establish the determination of prim-O-glucosylcimifugin in Biyan Tablets by HPLC.Methods The HPLC determination was carried out on Diamonsil C18 column(4.6 mm? 250 mm,5 ? m).The mobile phase consisted of methanol-acetonirile-H2O(18 :12 :70) with a flow rate of 1.0 mL/min,and the ultraviolet detection wavelength was set at 254 nm.Results Prim-O-glucosylcimifugin showed a good linearity in the range of 0.1888～ 1.534 ? g with the peak area score,the coefficient was 0.9997,and the average recovery was 101.74 %(RSD=2.97 %).Conclusion The method is accurate and reliable,and can be used for the quality control of Biyan Tablets.

Objective To study the chemical constituents of Evodia lepta.Methods The chemical constituents were isolated by chromatographic methods and their structures were elucidated by physicochemical characteristics and spectral data.Results Two compounds were isolated and their structures were identified as erythro-3-(1',2',3'-trihydroxy) isopentyl-7-hydroxycoumarin(Ⅰ) and?-daucosterol (Ⅱ).Conclusion CompoundⅠis a new one named evodosin A while compoundⅡis isolated from E. lepta for the first time.

Objective To study the constituents in Melicope pteleifolia. Methods Plant material was isolated with 80% EtOH. Compounds were separated with chromatographic methods and their structures were elucidated on the basis of spectral analysis (EI-MS, 1H-NMR, and 13C-NMR) and chemical evidence. Results Five compounds were isolated from petrol ether or ethyl acetate soluble fraction. Their structures were identified as 3,5,3'-trihydroxy-4'-methoxy-7-(3-methylbut-2-enyloxy) flavone (pteleifolosin C, 1), 3,7-dimethoxyl kaempferol (kamatakenin, 2), vanillic acid (3), tricosanoic acid tetradecyl ester (4), and p-sitosterol (5), respectively. Conclusion Compound 1 is a new structure named pteleifolosin C. Compounds 2-4 are isolated from this plant for the first time.

Objective To develop a HPLC method for the determination of Lasiokaurin in the stems and leaves of Rabdosia nervosa.Methods HPLC was performed on a Kromsil C18 reversed-phase column(250mm?4.2mm,5?m).All of the reference substances and samples were separated with the mobile phase of methanol :water(55:45) under isocratic elution for 30min,flow rate was 1.0ml/min,the detection wavelength was 234nm,and the column temperature was 30℃.Results The content of Lasiokaurin was 0.005mg/g in the stems and 0.372mg/g in the leaves,the content in the stems were almost 1/75 times as much as that in the leaves.The average recovery of Lasiokaurin was 96.21%.Conclusion This developed method,which is simple and with good precision,high sensitivity and selectivity,can be used for quality evaluation of Lasiokaurin in Rabdosia nervosa.

Objective To determine the icariin content in Qianlie Shule Granules (QSG). Methods After proper pre-treatment,HPLC method was performed on a C18 column. The mobile phase consisted of acetonitrile-water (29 ∶71) and the UV d etective wavelength was set at 270 nm. Results The peak of icariin was separated completely. The calibration curve of icariin was linear within 0.16～1.2 mg?mL -1,Y=0.028 7X-0.009 62 (r=0.999 9). Conclusion This method is accurate and su itable for the determination of icariin content.

Objective To investigate the chemical constituents of Citrus medica var. sareodactylis from Sichuan province, and to provide evidence for the development and utilization and quality evaluation of the medicinal material.Methods Various chromatographic techniques were used to purify the components of this herb. Compounds were identi-fied by their physical characteristics and spectral feature. Results Seven compounds were isolated from Citrus medica var. sarcodactylis, and they were identified as sibiricol (Ⅵ), 7-methylesculetin (Ⅶ), bergapten (Ⅷ), sigmasteryl acetate(Ⅸ), 5-methoxyfurfural(Ⅹ), limonin(Ⅺ), daucosterol (Ⅻ). Conclusion Compound Ⅵ, Ⅶ and Ⅸ are isolated from plants of Rutaceae for the first time.

Objective To explore the feasibility of the deep convolutional neural network (DCNN) judging the indications and prognosis of the total knee arthroplasty based on the trained DCNN computer learning system.Methods C1FAR-10 DCNN model based on TensorFlow (an open source system,Google,USA) optimized by Alex Krizhevsky were constructed.There were 400 cases with knee osteoarthritis from different databases used for analysis.Three hundred patients underwent total knee arthroplasty,while 100 did not.X-ray of 200 preoperative cases from the 400 cases and their enlarged image (50 times) were applied for training DCNN,while the enlarged images from other 200 cases were used to test the DCNN.The correlation and the regression between judgment of the DCNN and clinical truth were analyzed.The clinical truths were rechecked three times and were confirmed by treatment results.Pearson correlation and linear regression analysis were used.The relation test of the software was only used as a reference.Results There was no significant difference between the baseline of cases for learning and test.After learning 200 cases,the DCNN judged the 10 000 cases enlarged from remaining 200 cases.The correlation between the DCNN judgment and the clinical truth was not significant (r=0.000,F=0.001,P=0.970).False positive was observed in 1 681 cases,false negative in 3 296.After enlarged to 10 000 images,the correlation between the two judgments was significant (F=11 228.735,P=0.000,r=0.727 and R2=0.529).The software detection precision was 0.860.Conclusion DCNN can be applied in judging the indications of the total knee arthroplasty.Large sample size can improve the accuracy of the judgment significantly.

The gastrointestinal tract is the largest digestive organ and the largest immune organ and detoxification organ, which is vital to the health of the body. Drosophila is a classic model organism, and its gut is highly similar to mammalian gut in terms of cell composition and genetic regulation, therefore can be used as a good model for studying gut development. target of rapmaycin complex 1 (TORC1) is a key factor regulating cellular metabolism. Nprl2 inhibits TORC1 activity by reducing Rag GTPase activity. Previous studies have found that nprl2 mutated Drosophila showed aging-related phenotypes such as enlarged foregastric and reduced lifespan, which were caused by over-activation of TORC1. In order to explore the role of Rag GTPase in the developmental defects of the gut of nprl2 mutated Drosophila, we used genetic hybridization combined with immunofluorescence to study the intestinal morphology and intestinal cell composition of RagA knockdown and nprl2 mutated Drosophila. The results showed that RagA knockdown alone could induce intestinal thickening and forestomach enlargement, suggesting that RagA also plays an important role in intestinal development. Knockdown of RagA rescued the phenotype of intestinal thinning and decreased secretory cells in nprl2 mutants, suggesting that Nprl2 may regulate the differentiation and morphology of intestinal cells by acting on RagA. Knockdown of RagA did not rescue the enlarged forestomach phenotype in nprl2 mutants, suggesting that Nprl2 may regulate forestomach development and intestinal digestive function through a mechanism independent of Rag GTPase.
Animals ; Drosophila/genetics* ; Mechanistic Target of Rapamycin Complex 1/metabolism* ; Mammals/metabolism* ; Carrier Proteins ; Tumor Suppressor Proteins/metabolism* ; Drosophila Proteins/genetics*