P2 X7 receptor is a member of ATP-gated non-selective cation channels;and is one subtype family of the P2X purinergic receptor.Signaling pathways of P2X7 receptor couple with several key inflammatory molecules including IL-1β;IL-6 and COX-2;which suggests that P2 X7 receptor plays a key role in the development of dis-eases via increased inflammation;indicating its potential as a novel therapeutic target.Recent studies show that P2 X7 receptor has a relationship with renal diseases.This article reviews the effect of P2 X7 receptor on renal diseases and its mechanism.P2 X7 receptor may be a new drug target;and its selectivity antagonist may be a new therapeutic agent for the treatment of renal diseases.

Objective:To evaluate the application status and change trends of insulin and its analogs in Nanjing area during 2011 to 2013. Methods:The varieties, sales amount and DDDs of insulin and its analogs in 43 hospitals of Nanjing during 2011 to 2013 were analyzed. Results:The use of insulin and its analogs was increased year by year from 2011 to 2013 with the average annual growth rate of 16%. Glargine, pre-mixed insulin 30R, aspart 30, human insulin and aspart ranked the top five in the sum of money with the proportion above 80%. Pre-mixed insulin 30R, aspart 30, glargine, human insulin and common insulin ranked the top 5 in DDDs. Conclusion:The application of insulin and its analogs is wide in clinics, and the usage and sum of money both show rapid growth trend.

The progression of immunotherapy in Alzheimers disease was summarized,including active and passive immunotherapy. The therapeutic effect and side effects were indicated. The model of action and strategies for solution of side effects were analyzed.

Aim To investigate the protection effect of icariin on isoproterenol induced neonatal rat cardiomyocytes injury.Methods Isolation of cardiomyocytes from Sprague-Dawley rats aging 1～3 d were performed.Cardiomyocytes were grown in DMEM culture medium containing 15% fetal bovine serum.The cell density was adjusted to 1?105～5?105 cells?L-1,and the suspension was pipetted into each well of culture plates.Cells were incubated at 37 ℃ in 5% CO_2 atmosphere for 72 h.Cultured rat cardiomyocytes were divided into different groups:control,0.5 mmol?L-1 isoproterenol(model),and therapeutic groups with 0.1,1 and 10 ?mol?L-1 icariin.Cell viability was analyzed using MTT assay.The potential of mitochondrial membrane was determined by laser scanning confocal microscope.Apoptotic cells were detected by using flow cytometric analysis.Results Compared with the control group,the cell activity was lower in model group(P

AlM: To evaluate the effectiveness of Spot Vision Screener on vision screening of children without cycloplegia.METHODS:A total of 87 children (174 eyes) aged from 2~9 years old were examined with Spot Vision Screener and optometrist before cycloplegia.RESULTS: Statistical analysis demonstrated that the cylinder diopter and axis, the equivalent spherical diopter in both eyes, and the spherical diaopter in left eye had no significant change ( P>0. 05 ). However, the spherical diaopter in right eye had statistical significance. CONCLUSlON: Spot Vision Screener is a suitable instrument in vision screening of children without cycloplegia.

Uncoupling protein 4 (UCP4) is a member of the multigenic uncoupling proteins (UCPs), specific expressing in the cerebral cortex and hippocampus. UCP4 plays an important role in Parkinson's disease, multiple sclerosis, epilepsy, stroke, brain trauma and other central nervous system diseases by uncoupling, decreasing mitochondrial membrane potential,regulating Ca2+ homeostasis and oxidative stress. This article reviews UCP4 and its roles in the central nervous system diseases in order to provide certain basis for the development of UCP4targeted medication.

Two new sesquiterpenoids, named as tyromols A and B (1 and 2), were isolated from cultures of basidiomycete Tyromyces chioneus, along with two previously reported 15-hydroxy-6 α, 12-epoxy-7β, 10αH, 11βH-spiroax-4-ene (3) and agripilol C (4). Compounds 1-4 were separated and purified by silica gel, RP-18, Sephadex LH-20 column chromatography. Their structures were elucidated on the basis of extensive spectroscopic analysis including IR, MS, 1D and 2D NMR experiments.
Basidiomycota ; chemistry ; Magnetic Resonance Spectroscopy ; Sesquiterpenes ; chemistry ; isolation & purification ; Sesterterpenes

Objective To solve the problem that traditional electronic medical records(EMR) system could not be extended to patients' bedside because of the wired network connection restrictions.Methods Based on wireless transmission and data synchronization technologies in PDA,a mobile nursing station was developed.Results Such functions were realized as patient identity verification,implementation of doctor's orders and vital signs collection beside patients' bed.Conclusion Technical support is provided for closing EMR information chain and improving medical quality.[Chinese Medical Equipment Journal,2008,29(2):53-54]

Objective To evaluate the inhibitory activity of Herba Taraxaci extract on Escherichia coli DH5α (E. coli DH5α) and to investigate proteomic response of E. coli. Methods Medicinal powder of Herba Taraxaci was extracted with the solvents of different polarity ( n-hexane, ethyl acetate, distilled water) , and then the obtained 8 different extracts were subjected to thin layer chromatography ( TLC) analysis. Microdilution method was performed to detect the minimum inhibitory concentration ( MIC) of different extracts and the growth curves were described. The protein expression profiles of E . coli treated with the extracts were analyzed by sodium dodecyl sulfate polyacrylamide gel electropheresis ( SDS-PAGE) and two dimensional electrophoresis (2-DE) . Results Water decoction of Herba Taraxaci could obviously suppress the growth of E. coli with a MIC of 1.95 mg/mL. The different extractions exhibited no antibacterial activity except ethyl acetate phase 3 with a MIC of 0.13 mg/mL, which was equal to 19.23 mg/mL of crude drugs. The results of TLC analysis showed that chlorogenic acid was undetectable in n-hexane extract and ethyl acetate phase 1 extract, and ethyl acetate phase 2 and 3 extracts showed obviously increased spots. The results of SDS-PAGE and 2-DE showed that water decoction of Herba Taraxaci had inhibitory effect on the expression of functional protein. The results of 2-DE showed that after treatment with ethyl acetate phase 3 at the concentration of 2 × MIC for 21 hours, the amount of protein spots were 92 less than those of the blank control group, the spots of E. coli DH5α soluble protein with expression amount down-regulated doubly were 24, and those with expression amount up-regulated doubly were 19. Ethyl acetate phase 3 extract had an effect on down-regulating the protein expression of E. coli DH5α soluble protein pH3-10, and water decoction of Herba Taraxaci had inhibitory effect on E. coli DH5αprotein expression. Conclusion Herba Taraxaci has significant antibacterial activity on E. coli DH5α, and the water-soluble fraction of chlorogenic acid and caffeic acid might be the active components. The possible antibacterial mechanism may be related with the regulation of bacterial protein expression.

To improve the yield of industrial fermentation, a method based on near infrared spectroscopy was presented to predict the growth of yeast.The spectral data of fermentation sample were measured by Fourier-transform near-infrared (FT-NIR) spectrometer in the process of yeast culture.Each spectrum was acquired over the range of 10000-4000 cm1.Meanwhile, the optical density (OD) of fermentation sample was determined with photoelectric turbidity method.After that, a method based on competitive adaptive reweighted sampling (CARS) was used to select characteristic wavelength variables of NIR data, and then extreme learning machine (ELM) algorithm was employed to develop the categorization model about the four growth processes of yeast.Experimental result showed that, only 30 characteristic wavelength variables of NIR data were selected by CRAS algorithms, and the prediction accuracies of training set and test set of the CARS-ELM model were 98.68% and 97.37%, respectively.The research showed that the near infrared spectrum analysis technology was feasible to predict the growth process of yeast.