Objective To construct recombinent retroviral vectors containsins the expression sequence of hIL-4,and detect the expression of target genes.Methods Design the primer with restrictive enzyme spot and amplify target gene by PCR from plasmid including hIL-4 gene.Clone the target gene into retroviral vector pLXSN,and identify the aquired plasmid by sequencing.Transfect human synoviocytes with acquired virus in vitro.Detect the protein expresssion by western blotting.Results We successfully constructed the recombinant retrovirus-rRV-hIL-4.The hIL-4 gene was transduced into human synoviocytes by recombinant retrovirus in vitro.The protein expression of genes was detected by Western blotting.Conclusion Recombinant retrovirus rRV-hIL-4 is constructed successfully.The hIL-4 gene is transduced successfully into the human synoviocytes in vitro and the transduced synoviocytes can express hIL-4 protein.

Objective To evaluate the sensitivity and specificity of anti-cyclic citrullinated peptide antibody(anti-CCP)and rheumatoid factor(RF)in patients with rheumatoid arthritis(RA).Methods Anti-CCP antibody was measured in sera from 75 human,including 27 RA patients,40 other rheumatic diseases and 8 healths.Anti-CCP was measured by enzyme-linked immunosorbent assay(ELISA).Results The sensitivity of anti-CCP antibody was 70.4%,with a high specificity(93.8%)in RA.The positive rates of anti-CCP antibody have no difference in the patients within 2 years and exceed 2 years from onset.Anti-CCP antibody wasn't correlated with RF,ESR and CRP.Conclusion Anti-CCP antibody has better sensitivity and specificity for rheumatoid arthritis,combining anti-CCP antibody and RF can increase diagnosis sensitivity and specificity of RA,indicating it is a useful laboratory marker for early diagnosis of rheumatoid arthritis.

The aim of this study was to identify novel prognostic mRNA and microRNA (miRNA) biomarkers for hepatocellular carcinoma (HCC) using methods in systems biology. Differentially expressed mRNAs, miRNAs, and long non-coding RNAs (lncRNAs) were compared between HCC tumor tissues and normal liver tissues in The Cancer Genome Atlas (TCGA) database. Subsequently, a prognosis-associated mRNA co-expression network, an mRNA–miRNA reg-ulatory network, and an mRNA–miRNA–lncRNA regulatory network were constructed to identify prognostic biomarkers for HCC through Cox survival analysis. Seven prognosis-associated mRNA co-expression modules were obtained by analyzing these differentially expressed mRNAs. An expression module including 120 mRNAs was significantly corre-lated with HCC patient survival. Combined with patient survival data, several mRNAs and miRNAs, including CHST4, SLC22A8, STC2, hsa-miR-326, and hsa-miR-21 were identified from the network to predict HCC patient prognosis. Clinical significance was investigated using tissue microarray analysis of samples from 258 patients with HCC. Functional annotation of hsa-miR-326 and hsa-miR-21-5p indicated specific associations with several cancer-related pathways. The present study provides a bioinformatics method for biomarker screening, leading to the identification of an integrated mRNA–miRNA–lncRNA regulatory network and their co-expression patterns in relation to predicting HCC patient survival.