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Objective To construct and evaluate a disulfidptosis-related genes(DRGs)prognostic risk model for hepatocellular carcinoma(HCC)based on the cancer genome atlas(TCGA)database.Methods The expression of 15 DRGs in 371 HCC samples and 50 adjacent cancer samples in the TCGA database was analyzed using bioinformatics methods,and then gene ontology(GO)functional annotation,Kyoto encyclopedia of genes and genomes(KEGG)enrichment analysis and Kaplan-Meier(KM)survival analysis were performed.Statistical significant DRGs were screened through univariate COX regression analysis,and key DRGs were selected through LASSO regression analysis and multivariate COX regression analysis to construct a prognostic risk model.HCC patients were divided into high-risk and low-risk groups based on risk scores,and the KM survival curves and time-dependent receiver operator characteristic(ROC)curves were created to validate and evaluate prognostic risk models.Results Compared with the adjacent cancer samples,FLNA,MYH9,TLN1,ACTB,MYL6,CAPZB,DSTN,ACTN4,SLC7A11,INF2,CD2AP,PDLIM1,and FLNB were all upregulated in the 15 DRGs of HCC samples,and the differences were significant(t=1 793～6 310,all P<0.001).According to GO functional annotation and KEGG enrichment analysis,DRGs were closely related to biological processes or pathways related to actin cytoskeleton and cell adhesion.The results of KM survival analysis showed that the survival rate of the high expression group of SLC7A11,INF2,CD2AP,MYL6,and ACTB were lower than that of the low expression group[HR=1.46(1.03～2.07)～1.93(1.36～2.75),all P<0.05].Univariate COX regression analysis,LASSO analysis,and multivariate COX regression analysis were used to construct a prognostic risk model,with risk score=(0.247×SLC7A11)+(0.289×INF2)+(0.076×CD2AP)+(0.06×MYL6).The risk score of the sample in this model was calculated,and the higher the risk score,the more HCC patients with poor prognosis.KM survival analysis showed that the overall survival rate of the high-risk group was lower than that of the low-risk group.The AUC values for 1,3,and 5 years were 0.709,0.661,and 0.648,respectively.Multivariate COX regression analysis showed that SLC7A11[HR=1.832(1.274～2.636),P=0.001]was an independent prognostic risk factor.Conclusion The prognostic risk model was constructed by four DRGs,which has a certain role in predicting the prognosis of HCC patients.
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Objective To evaluate the diagnostic value of anti-nucleosome antibody for juvenile systemic lupus erythematosus (JSLE).Methods Fifty-four patients with JSLE,28 patients with non-JSLE and 26 healthy children were chosen in this study.antinuclear antibody(ANA),anti-nucleosome antibody (AnuA),anti-dsDNA antibody,anti-histone antibody (AHA) and anti-Sm antibody were detected by ELISA or western-blot method.The relevant clinical data were collected and analyzed.Results For diagnosis of JSLE,the sensitivity and specificity of AnuA was 77.78％ and 96.30％.The sensitivity of AnuA combined with ANA,anti-dsDNA and antiSm was higher than that of single detection.AnuA usually associated with fever,oral/nasal pharyngeal ulcer,lung damage,lymphocyte absolute value,urine protein and C3 level.Conclusion AnuA can be used as a serum marker for JSLE diagnosis.The detection of AnuA combined with anti-dsDNA and anti-Sm should be more helpful for diagnosis of JSLE.
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Objective To investigate the relationship between the dynamic changes of platelet parameter and the severity of the neonatal hypoxia ischemic encephalopathy .Methods To search PubMed ,Ovid ,Springer Database ,Chinese Academic Journal ,VIP database and Wanfang database in the library literature and screen documents according to the inclusion criteria of diagnostic tests , then to extract the characteristic information .Using RevMan 5 .1 software to analyze the data ,and to carry out the Meta analysis se-lected the effects model according the results of tests for heterogeneity .Results According to the inclusion criteria ,it was won the 10 articles eventually .The Meta analysis results showed that the PLT in acute period of HIE patients was significantly 1 .65-2 .14 times the standard deviation lower than the control group .The MPV and PDW in acute period of HIE patients were significantly 1 .12-1 .61 and 1 .17-1 .99 times the standard deviation higher than the control group .The PLT in convalescent of HIE patients was 1 .85-2 .35 times the standard deviation higher than the acute period of HIE patients .The MPV and PDW in the convalescent of HIE patients were significantly 0 .68-1 .38 and 0 .81-1 .37 times the standard deviation lower than the acute period of HIE pa-tients .Obviously ,the PLT ,MPV and PDW in the convalescent of HIE patients were closed to the level of the control group .Conclu-sion Clinical observing HIE infant′s platelet parameter dynamically can be regarded as the index of HIE infant′s condition severity and monitoring condition change .
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Objective In order to know the influence of different time of indwelling urinary catheteron postoperative comfortation of patients with general anesthesia. Methods Six ease-control studies re-lated the influence of different time of indwelling urinary catheter on postoperative eomfortation of patientswith general anesthesia had analyzed by Meta-analysis method. Results According to the results ofMeta-analysis from the 6 documents, the postoperative comfortable level of patients with indwelling urinarycatheter before general anesthesia was better than patients with indwelling urinary catheter after generalanesthesia, OR=0.12(0.05～0.30). Conclusions Indwelling urinary catheter before general anesthesia can prevent postoperative uncomfortation, which is a kind of proper method.
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Objective To build the forecasting system on spatial coverage of cumulative phenotypic frequency (CPF) of HLA- Ⅰ for designing HLA-based vaccines (epitopes or DNA vaccines) and evaluating their effects in China. Methods The spatial database of HLA- Ⅰgenes of Chinese (across the land of China) was set up, and then the spatial forecasting system of CPF was designed using Kriging technique.Results Using this spatial forecasting system, the vaccine designer could predict the spatial coverage of CPF for any combination of the alleles confined to a single class Ⅰ locus, either HLA-A or HLA-B, as well as for any combination of alleles at these two loci of each given population at any geographical location across the land of China. Conclusions This system is applicable in the following rields: ①To provide for the identification of alleles that represent a desired percentage of populations across the land of China and that can be targeted for vaccine composition. ② To predict the theoretical responder status of vaccines whose HLA restricted epitopes have already been known in given population at any geographical location across the land of China. (③) To identify how many individuals will be non-responders to a HLA-based vaccine across the land of China.
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Objective:Comprehensive evaluation on the puerperal women's health status,and probing those influencing factors on their quality of life. Methods:513 puerperal women received the survey on health status including physical, psychological and social function dimensions by relevant items of Quality of Life designed by WHO and related factors were analyzed by stepwise regression.Results:The QOL of puerperal women were lower than general women aged between 18-49 years old in three dimensions(91.44?4.05/97.84?3.66,u=25.95,82.42?7.02/89.81?8.50,u=17.53,88.87?4.99/98.12?4.59,u=29.47,均P
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Objective To evaluate the relationship between genetic polymorphism of HLA DQ and type 1 diabetes mellitus (DM) in Chinese population. Methods Odds ratios (OR) of HLA DQ allele (genotype, haplotype) distributions in patients with type 1 DM against healthy controls were analysed. All the relevant studies were identified, poor qualified studies were excluded and the publication bias was evaluated. The Meta analysis software (REVMAN 4.2) was applied for investigating heterogeneity among individual studies and for summarizing all the studies. Results DQA1*0301, DQA1*0501, DQB1*0201, DQB1*0303, DQB1*0401 and DQB1*0604, were the risky alleles (all P