OBJECTIVE： To observe the effect of drug loading， medium composition， transdermal enhancer， lauryl alcohol and azone on percutaneous permeation of oxaprozin gel in vitro.METHODS： Drug permeation test was carried out by using modified Franz-type double compartment diffusion cell and isolated mice skin in vitro as transdermal barrier.RESULTS： Under the condition of an effective area of 5.77cm2， it was found that the result was stable and the reproducibility was well with drug loading more than 1.2g， the receiver solution ethanol to normal saline=7∶ 3(v∶ v);The transdermal enhancing effect of lauryl alcohol was superior to that of azone， the effect of mixed transdermal enhancer 3％ AZ＋ 10％ LA was the best.CONCLUSION： The selection of both the optimum release condition and the best penetration enhancers provided reference for oxaprozin transdermal delivery.The standardization of gel percutaneous test in vitro was discussed preliminarily.

Neuroendocrine tumors of the epiglottis were extremely rare. Patients normally had no obvious symptoms and signs of early stage. Epiglottis lingual except (without) tubercle of epiglottis, and hyperplastic mass were observed by using laryngoscopy and also confirmed by biopsy and immunohistochemistry. Immunohis- tochemical studies showed that Syn, a broad spectrum endocrine marker, and CgA, a specific marker of endocrine tumor, were both positive. Which is consistent with the diagnosis of neuroendocrine carcinoma.
Carcinoma, Neuroendocrine ; pathology ; Epiglottis ; pathology ; Humans ; Immunohistochemistry ; Laryngeal Neoplasms ; pathology ; Laryngoscopy

Adolescent ; Adult ; Aged ; Aged, 80 and over ; Autoantibodies ; biosynthesis ; Case-Control Studies ; Child ; Female ; Humans ; Immunoglobulin G ; biosynthesis ; Male ; Middle Aged ; Pancytopenia ; immunology ; pathology ; Receptors, Erythropoietin ; physiology ; Young Adult

China ; epidemiology ; Humans ; Occupational Diseases ; epidemiology ; prevention & control ; Occupational Exposure ; prevention & control ; statistics & numerical data ; Rural Population ; Transients and Migrants

Objective To detect the expression of metallothionein-3 (MT-3)mRNA in human esophageal squamous cell carcinoma. Methods Five cell lines of human esophageal cancer,TE-1,TE-13,TTN,ECA-109 (cell lines of esophageal squamous cell carcinoma) and OE33 (cell lines of esophageal adenocarcinoma),were used in this study. RT-PCR was employed to detect the expression of MT-3 mRNA. Peripheral blood monouclear cells from normal subjects were served as controls. Results Sequencing of RT-PCR product certified the gene of MT-3 mRNA. It was revealed by gel electrophoresis that there was expression of MT-3 mRNA in each cell line. The relative expression of MT-3 mRNA was 0.230?0.023,0.516?0.020,0.140?0.009,0.176?0.015 and 0.085?0.011 in cell lines of TE-1,TE-13,TTN,ECA-109 and OE33,respectively,significantly lower than that in controls (0.762?0.026) (P

Animals ; Heart Function Tests ; Heme Oxygenase (Decyclizing) ; metabolism ; In Vitro Techniques ; Ischemic Preconditioning, Myocardial ; methods ; Male ; Malondialdehyde ; metabolism ; Rats ; Rats, Wistar

Halogenated Diphenyl Ethers ; adverse effects ; Humans

Air Pollution ; prevention & control ; Epidemiologic Research Design

Animals ; Dose-Response Relationship, Drug ; Female ; Male ; Rats ; Rats, Sprague-Dawley ; Toluene 2,4-Diisocyanate ; metabolism ; pharmacokinetics ; urine

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.