Objective To investigate the application value of ELISA for detecting the serum anti desmoglein (Dsg) 1 and Dsg 3 in the diagnosis and treatment of pemphigus .Methods Forty‐seven patients with pemphigus in our hospital from January to De‐cember 2014 were selected as the observation group and contemporaneous 52 patients with excluding pemphigus were selected as the control group .The Dsg antibodies were detected by using indirect immunofluorescence method and Dsg 1 and Dsg3 were deter‐mined by ELISA ;their correlation with pemphigus characteristics was analyzed .Results The sensitivity and specificity of ELISA for detecting anti‐Dsg antibodies were 95 .74% and 92 .31% respectively ,while which of IIF were 93 .62% and 86 .54% respective‐ly ,showing no statistically significant difference between the two test methods (P>0 .05) .In 30 cases of pemphigus vulgaris ,16 ca‐ses (16/30) were positive Dsg1 and Dsg 3 ,8 cases of pemphigus erythematosus and 5 cases pemphigus foliaceus were positive Dsg1 only ,and 2 cases of pemphigus vegetans were both positive Dsgl and Dsg3 .The Dsgl and Dsg3 titers of pemphigus vulgaris and pemphigus vegetans were 130 .85 ± 86 and 112 .30 ± 85 .05 ,respectively ,and the disease activity score was (5 .10 ± 1 .86) points ,the correlation coefficient(r)=0 .476(P=0 .008) ,r=0 .816(P=0 .001) ,respectively .The Dsgl titer of pemphigus erythematosus and pemphigus foliaceus were 142 .59 ± 78 .52 ,and the disease activity score was (2 .77 ± 0 .92) points(r=0 .800 ,P=0 .001) .Conclu‐sion ELISA for detecting Dsg1 and Dsg3 has high sensitivity and specificity ,and is conducive to the diagnosis of pemphigus and e‐valuation of disease severity .

Objective: To assess the quality for meta-analysis on prevention and treatment of coronary artery disease (CAD) in China.
Methods: We systemically searched 4 Chinese databases of VIP, CNKI, CBM and Wan Fang for their meta-analysis on CAD prevention and treatment from 1987-01 to 2013-10. According to inclusion and exclusion criteria, 2 researchers independently screened and cross-checked all the literatures. The qualities of methodology and report were evaluated by R-AMSTAR and PRISMA scales.
Results: A total of 201 literatures were enrolled for our study. The average score of methodology quality was (24.65±3.97), no literature met all required items, and the major problems were as lack of“a priori design”, insufifcient and bias of data selection combining inappropriate data synthesis. The average score of report quality was (17.20 ± 2.90), no literature met all 27 required items, and the major problems were as incomplete report of abstract, objective, protocol and registration, incomplete data collection/analysis, using and publishing bias information, incomplete quality assessment.
Conclusion: Both of methodology and report of meta-analysis for CAD prevention and treatment have quality problems at different levels, further improvement should be expected.

Objective:To explore genes related to costimulatory molecule related to the prognosis of bladder cancer,and to construct and evaluate prognosis model based on costimulatory molecule-based signature(CMS).Methods:Gene expression matrix and clinical information of bladder cancer patients were downloaded from TCGA database and GEO database(GSE31684),and costimulatory molecule-related genes were retrieved from the literature.The univariate and multivariate Cox analysis were used to screened prognostic-related genes and constructed prognostic model.Forecast accuracy of model was verified in TCGA training group,TCGA validation data group and GEO group by Kaplan-Meier survival analysis and receiver operating characteristic curve(ROC).Considering risk score and clinical characteristics,we constructed a nomogram and evaluated its performance by consistency analysis and ROC.CIBERSORT algorithm was used to analyze immune cell composition of tumor microenvironment infiltration,and gene set enrichment analysis(GSEA)was performed to explore the potential mechanism.Results:Four prognostic-related CMSs were found:TNFRSF14,CD276,ICOS and TMIGD2,of which three were included in the risk score construction.Multivariate Cox regression results showed that the risk score based on CMS was an independent prognostic factor for bladder cancer patients.Consistency analysis and ROC results showed that the nomogram had ideal prognosis prediction accuracy.Immune infiltration analysis showed that the high risk group was likely to be in immunosuppressive state.GSEA results suggested that genes in high risk group were enriched in extracel-lular matrix(ECM)receptors interaction,cell cycle and other pathways.Conclusion:TNFRSF14,CD276 and ICOS may be potential prognostic biomarkers for bladder cancer patients.CMS-based risk score and nomogram could contribute to early prognosis and choice of personalized treatment.