Objective To study the value of CT and MRI(3D heavy T_2WI) in cerebrospinal fluid rhinorrhea.Methods 4 cases with spontaneous cerebrospinal fluid (CSF) rhinorrhea confirmed by operation were collected in this study.There were 2 men and 2 women.All patients underwent CT thickness was 0.625 mm and no gaps.MRI (coronal 3D heavy T2WI,thickness of 1 mm,TR/TE 5000 ms/119 ms).Results All 4 cases accepted the treatment of operations.The defects bone were showed by CT,and the sign of CSF of intracranial cavity communicated with nasal cavity diretly was showed by MRI,pituitary herniated into sphenoid sinus in one case also showed by MRI.Conclusion For spontaneous cerebrospinal fluid rhinorrhea,thin-section coronal CT scan and MR coronal 3D heavy T_2WI can clearly show the location of fistulas.

OBJECTIVE:To explore the situation of anti-cold compound preparations for children,and provide reference for clinical rational drug use. METHODS:The drug instructions of anti-cold compound preparations for children were collected from our hospital and analyzed statistically in recpects of drug components,specifications,formulations and dosages of those prepara-tions;typical irrational prescriptions from Jan. to May 2015 were also analyzed. RESULTS & CONCLUSIONS:40 kinds of an-ti-cold compound preparations for children were currently used in our hospital,including 14 chemical drugs and 26 Chinese medi-cine,in which,15 were not specified in the drug instructions for pediatric dosage (accounting for 37.5%). Anti-cold compound preparations had many kinds,varied largely in specifications and dosages. The children with same constitution and age take differ-ent drugs according to the drug instructions,the dosages of the same component are greatly different,the child dosages in the drug instructions need to be further improved. There are problems of irrational drug use in our hospital, such as repeated medication, medicine incompatibility,in appropriate dose.

Objective To identify biomarkers associated with the differentiated phenotype based on gene expression profiling of gastric cancer. Methods Two bioinformatic methods, BAGEL and k-TSP, were used to identify featured genes associated with differentiation in gastric cancer samples based on the Oligo gene chip data, and ROC curves were used to verify the classification sensitivity and specificity of the identified genes. Finally, a total of 30 gastric cancer samples with different differentiation levels were collected for laboratory validation using real-time PCR analyses. Results A total of 121 differentially expressed genes were identified using the BAGEL algorithm, the criterion were FC ＞ 2. 0 and P ＜ 0. 001.Then, the k-TSP algorithm for feature selection based on this differential expression data were used, and 3 groups of featured genes which had potential to classify poor and well differentiation gastric cancer samples were identified, including MYLIP and TMPRSS3, ZNF266 and TM4SF1, SNAI2 and CNFN. To define the featured gene groups that had the highest classification capability, ROC curves to calculate the classification sensitivity and specificity of each gene group were used. The results showed that the combination of SNAI2and CNFN as a classifier had the highest classification sensitivity and specificity. Real-time PCR results showed that 18 of 22 poor differentiation samples were found with high expression of SNAI2 and low expression of CNFN (82%); 6 of 8 well differentiation samples were of low expression of SNAI2 and high expression of CNFN (75%). Conclusion The results indicate that SNAI2 and CNFN are constantly expressed in poor or well differentiation gastric cancer samples, and the expression pattern of these two genes is opposite. These results indicate that SNAI2 and CNFN have the potential for the identification of the differentiation level of gastric cancer.

Adult ; Aged ; Chromosomes, Human, Pair 7 ; genetics ; Female ; Humans ; Male ; Middle Aged ; Pedigree ; Polydactyly ; genetics

Gastric cancer (GC) is one of the most frequent malignant tumors. In order to systematically characterize the cellular and molecular mechanisms of intestinal GC development, in this study, we used 22 K oligonucleotide microarrays and bioinformatics analysis to evaluate the gene expression profiles of GC in 45 tissue samples, including 20 intestinal GC tissue samples,20 normal appearing tissues (NATs) adjacent to tumors and 5 noncancerous gastric mucosa tissue samples. These profiles allowed us to explore the transcriptional characteristics of GC and determine the change patterns in gene expression that may be of clinical significance. 1519 and 1255 differentially- expressed genes (DEGs) were identified in intestinal GC tissues and NATs, respectively, as determined by Bayesian analysis (P < 0.001). These genes were associated with diverse functions such as mucosa secretion, metabolism, proliferation, signaling and development, which occur at different stages of GC development.