ObjectiveTo understand the detections of influenza A (H1N1) in 2009,and haemagglutinin (HA) gene mutations and the comparisons with standard strains.MethodsThe nasopharyngeal swabs from patients with influenza-like illness (ILI) in National Influenza Sentinel Surveillance Hospital and the outbreak epidemic area were collected.The virus typing and A (H1N1) viruses were tested by real time-polymerase chain reaction (RT-PCR).Then the pathogens were isolated with MDCK cells,the virus titer was determined with hemagglutination test and the virus typing was identified with hemagglutination inhibition test (HA1).The RT-PCR products of HA1 gene of virulent strains were sequenced and then analyzed through bioinformatics.Results A total of 996 pharyngeal swab specimens were tested,and nucleic acid positive cases included 337 A (H1N1) subtype,1 seasonal A (H1N1) subtype,67 A (H3N2) subtype,and 12 B type.The positive rate of nucleic acid detection of influenza was 41.87％ and that of A (H1N1) was 33.84％.Thirty-six influenza A (H1N1) virus strains were isolated,and 10 of them were successfully sequenced and several amino acid mutations were identified.There were 6 amino acid mutations found compared with vaccine strain A/California/07/2009 (H1N1),and 1 site was in area B of epitope.Conclusions A (H1N1) is absolute predominant among isolated strains in 2009.HA gene of virulent strains is mutated compared with vaccine strain provided by World Health Organization,which shows that the area B of epitope changes,while the key amino acid position 222 doesn't change.

Objective To conduct bioinformatics analysis of children with severe malaria to find out the key gene changes in order to provide a new basis for the prevention and treatment of malignant malaria.Methods Microarray gene chip data was downloaded from public databases GEO and imported into the analysis software STRING,PANTHER and GenClip.The gene expression profiles,protein interaction networks,the process of molecular biology,gene function were analyzed.Results 623(1.93 ％) differentially expressed genes had a good diagnostic capabilities in the diagnosis of mild and severe malaria.OAS2,OAS3,IFIT3 and USP18 were the core sub-network node of the Protein-Protein Interactions.Differentially expressed genes mainly involved in the body's immune defense,immune response,response to external stimuli,the biological function of type 1 interferon activation pathways.Conclusion The progress of malaria of children may be in the regulation of OAS2,OAS3,IFIT3,USP18 and children's immune defense capacity decreased,the malaria began to progress more easily.

Objective To analyze the differentially expressed genes in peripheral blood of human immunodeficiency(HIV)/tubercle bacilli co-infected patients and explore the biological regulatory mechanism and network of key proteins,so as to provide new evidence for early diagnosis and clinical treatment of HIV/TB co-infected patients. Methods Microarray gene chip data of HIV/TB co-infected patients were downloaded from public databases GEO and imported into the analysis software GEO,STRING,PANTHER,and GenClip. The gene expression profiles,protein interaction networks,processes of molecular biology,and gene functions were analyzed. Results The expression profiles of 15 529 genes between the two groups of patients were similar,and gene expression profiles from 44 subjects were highly correlated. The 251 differentially expressed genes had good diagnostic capabilities in the differential diagnosis of HIV/TB infection. RPLP1 might be a key gene in the diagnosis of HIV/TB infection. The differentially expressed genes and positive regulators showed certain functions such as external stimuli,signal transduction pathways in cells,migration of neutrophils,and immunological and other relevant functionalities. Meanwhile,they may also be involved in free radical-related apoptosis,inflammation,and activation pathways. Conclusions A total of 251 differentially expressed genes are found to be able to distinguish simple HIV infection from HIV/TB infection. Protein-protein interaction network of top 40 differential expression genes includes RPLP1 gene,which is possibly associated with HIV/TB co-infection and may be involved in and the positive regulation of external stimuli,signal transduction pathways in cells,migration of neutrophils,and immunological functions. These findings may provide certain evidence for the diagnosis and treatment of HIV/TB infection.

Objective To analyze the data of influenza A(H1N1) viruses surveillance and genetic characteristics from Taian City during 2005-2008,so a scientific basis can be provided for the prevention and treatment of influenza.Methods The specimens from Influenza-Like Illness(ILI) were collected.The viruses were isolated with MDCK cell and identified with HAI and RT-PCR.The product of PCR were sequenced.Then the sequences were analyzed through biometric software.Results A total of 121 influenza strains were obtained from 615 specimens,and 4 of them were identified as A(H1N1) subtype.There were 3 strains mutated on several sites.Compared with strains isolated in 2005,there were 5 and 8 mutations in the amino acid sequences of virus strains isolated in 2007 and 2008 respectively.And there were a total of 22 amino acid mutations compared with A/Brisbane/59/2007(H1N1).Conclusions Influenza type A(H1N1) are detected in Taian City.There are several mutations in the amino acid sequences of virus strains isolated in Taian. The antigenic drift of virus strains is due to accumulation of amino acid substitutions

Objective Iodothyronine deiodinases (DIOs) are important selenoproteins that play a key role in the bone and joint diseases. Osteoarthritis (OA) is the most prevalent joint disease especially in elders. This bioinformatic analysis was performed to explore the role of DIOs in OA pathogenesis. Methods The biological functions of selenoprotein DIOs were analyzed by bioinformatic techniques, including GenCLip 3.0, Database for Annotation, Visualization and Integrated Discovery (DAVID), STRING, Cytoscape, and Network Analyst. The expression of DIOs in the healthy individuals and OA patients was determined by mining OA-related microarray data in the gene expression omnibus (GEO) database of National Center for Biotechnology Information and performing a Meta-analysis of the data with Review Manager 5.3. Results Cluster analysis revealed that the function of the DIOs was associated with thyroid hormone receptor and iodothyronine; GO analysis showed that DIOs were mainly involved in biological processes, such as ethanol metabolism and phenol-containing compound metabolism and primarily involved in the cytochrome P450 metabolism of exogenous organisms and thyroid hormone signaling; SULT1A1 was the core node of the PPI network; miRNAs and thyroid hormones had some iterations with DIO1 and DIO2; Meta-analysis showed that DIO3 expression was significantly up-regulated in OA patients (SMD = 0.31, 95％CI: 0.03, 0.59, P = 0.03). Conclusions The main biological functions of DIOs were closely associated with the regulation of thyroid hormone. And the up-regulated expression of DIO3 may have crucial impact on the occurrence of OA.

Objective: To explore the influence of heat and noise exposure on the risk of hypertension in workers,and to provide evidence for prevention of hypertension in occupational population. Methods: Cluster sampling method was used to recruit 2 130 steel workers from four factories（north iron-making,long steel,cold steel and power department）of some steel company. A cross-sectional study was conducted to collect physical examination results,heat and noise exposure. Logistic regression models were used to analyze the effects of noise,heat and their interaction on hypertension. Results: Totally 1 971 valid questionnaires were collected,and the response rate was 92.54%. There were 654 workers suffering from hypertension,with a prevalence rate of 33.18%. There were 1 006 workers exposed to noise,accounting for 51.04%;and 853 workers exposed to heat,accounting for 43.28%. The prevalence rates of hypertension in workers exposed to noise and heat were higher than those in workers without the above exposure（P<0.05）. The prevalence rates of hypertension increased with the increase of age and working years（P<0.05）. The results of multivariate logistic regression analysis showed that noise（OR=1.711,95%CI：1.380-2.121）,heat（OR=1.721,95%CI：1.394-2.125）were risk factors for hypertension;the interaction between noise and heat on hypertension was not statistically significant（P>0.05）,while the interaction between noise and age（OR=1.086,95%CI：1.057-1.115）,between heat and age（OR=1.087,95%CI：1.059-1.115）both increased the risk of hypertension. Conclusion Occupational exposure to heat and noise are risk factors for hypertension. These two occupational hazards also interact with age,which can increase the risk of hypertension in workers.

Objective:To investigate the relationship between glutathione peroxidases (GPXs) gene expression in colorectal cancer tissues and survival prognosis, and to construct and evaluate a nomogram prediction model of GPXs for survival prognosis of colorectal cancer patients.Methods:The GPXs gene expresion data and other clinical data of 620 patients with colorectal cancer (455 cases of colon cancer and 165 cases of rectal cancer) were downloaded from The Cancer Genome Atlas (TCGA) database, and the GPXs gene expression data of 820 normal people were downloaded as controls, preprocessed by R language, and the gene expression data were analyzed for differential expression. Spearman rank correlation was used to analyze the correlation between GPXs gene expression and tumor mutation burden (TMB) in colorectal cancer tissues. Cox risk regression model was used to analyze the influencing factors of survival and prognosis of colorectal cancer patients. Nomogram models were constructed to predict overall survival (OS) of colon cancer and rectal cancer patients, and its predictive performance was evaluated by calibration curve.Results:In the GPXs family, there were statistically significant differences in the mRNA expressions of GPX1, GPX2, GPX3, GPX4, GPX5, GPX7 and GPX8 between colon cancer patients and normal population, and the mRNA expressions of GPX1, GPX2, GPX4 and GPX8 in colon cancer patients were higher than those in normal population (all P<0.05) . There were statistically significant differences in the mRNA expressions of GPX1, GPX2, GPX3, GPX4, GPX7 and GPX8 between rectal cancer patients and normal population, and the mRNA expressions of GPX1, GPX2, GPX4, GPX7 and GPX8 in rectal cancer patients were higher than those in normal population (all P<0.05) . Spearman rank correlation analysis showed that GPX2 ( r s=-0.27, P<0.001) and GPX7 ( r s=-0.11, P=0.043) expressions were negatively correlated with TMB in colon cancer. There were no significant correlations between GPXs genes expressions and TMB in rectal cancer tissues (all P>0.05) . In colon cancer, univariate analysis showed that GPX3 ( HR=1.22, 95% CI: 1.05-1.43, P=0.012) , GPX4 ( HR=1.39, 95% CI: 1.01-1.92, P=0.045) , age ( HR=1.02, 95% CI: 1.01-1.04, P=0.010) and pTNM-stage ( HR=1.78, 95% CI: 1.43-2.21, P<0.001) were the influencing factors of OS. Multivariate analysis showed that GPX4 ( HR=1.96, 95% CI: 1.09-3.51, P=0.024) , age ( HR=1.02, 95% CI: 1.00-1.04, P=0.042) and pTNM-stage ( HR=1.61, 95% CI: 1.21-2.15, P=0.001) were the independent risk factors of OS. In rectal cancer, univariate analysis showed that age ( HR=1.08, 95% CI: 1.04-1.13, P<0.001) was the influencing factor of OS. Multivariate analysis showed that GPX7 ( HR=0.44, 95% CI: 0.22-0.88, P=0.020) , GPX8 ( HR=3.17, 95% CI: 1.63-6.17, P=0.001) and age ( HR=1.10, 95% CI: 1.04-1.16, P=0.001) were the independent influencing factors of OS. The consistency index (C-index) of the nomogram model for predicting OS in patients with colon cancer and rectal cancer were 0.71 (95% CI: 0.63-0.79) and 0.88 (95% CI: 0.82-0.94) respectively. The calibration curve showed that the prediction curve of the two models had a good fit with the real curve. Conclusion:GPX4 is an independent risk factor affecting the prognosis of colon cancer patients. Patients with high GPX4 expression have a poor prognosis. GPX7 and GPX8 are independent prognostic factors for rectal cancer patients, and the rectal cancer patients with low GPX7 expression and high GPX8 expression have poor prognosis. The nomogram constructed based on the above factors can better predict the prognosis of patients with colon cancer and rectal cancer.

Objective To explore the clinical efficacy of recombinant human endostatin (en-dostar)combined with three dimensional conformal radiotherapy (3D-CRT)on treatment of patients with non-small cell lung cancer (NSCLC).Methods 78 patients with NSCLC in phase ⅢA ~ⅢB by histopathology and cytology were randomly divided into control group (treated with single 3D-CRT) and experiment group (treated with endostar and 3D-CRT),39 cases in each group.Clinical efficacy and adverse responses were evaluated after two cycles of treatment and survival time was observed until the end of follow-up.Results The objective remission rate (RR)and disease control rate (DCR)in experiment group were 69.2% and 89.7% respectively,which were evidently higher than the 33.3%and 71.8% in control group (P <0.05 or P <0.01).The main adverse responses in both groups were anemia,nausea and vomiting,leukopenia and radioactive lung injury and all were tolerable.Until the end of follow-up,the medium progression free survival time and medium survival time in experimental group were 8 and 13 months,and in control group were 5 and 9 months respectively.Conclusion Endostar combined with 3D-CRT are superior to single 3D-CRT without increasing adverse responses in the treatment of NSCLC.

Objective To explore the clinical efficacy of recombinant human endostatin (en-dostar)combined with three dimensional conformal radiotherapy (3D-CRT)on treatment of patients with non-small cell lung cancer (NSCLC).Methods 78 patients with NSCLC in phase ⅢA ~ⅢB by histopathology and cytology were randomly divided into control group (treated with single 3D-CRT) and experiment group (treated with endostar and 3D-CRT),39 cases in each group.Clinical efficacy and adverse responses were evaluated after two cycles of treatment and survival time was observed until the end of follow-up.Results The objective remission rate (RR)and disease control rate (DCR)in experiment group were 69.2% and 89.7% respectively,which were evidently higher than the 33.3%and 71.8% in control group (P <0.05 or P <0.01).The main adverse responses in both groups were anemia,nausea and vomiting,leukopenia and radioactive lung injury and all were tolerable.Until the end of follow-up,the medium progression free survival time and medium survival time in experimental group were 8 and 13 months,and in control group were 5 and 9 months respectively.Conclusion Endostar combined with 3D-CRT are superior to single 3D-CRT without increasing adverse responses in the treatment of NSCLC.

Objective To explore the effect of UBE2I and FCGR1A gene expressions on the incidence of acquired immune deficiency syndrome(AIDS)combined with active pulmonary tuberculosis(APTB),so as to provide basis for disease monitoring.Methods A total of 98 AIDS patients combined with APTB and 84 AIDS patients combined with latent tuberculosis infection(LTBI)were selected from the validated whole genome transcriptome dataset(GSE37250).The top 30 differentially expressed genes(DEGs)in the two groups of patients were screened.We established the PPI interaction network,transcription factor-differentially expressed gene(TF-DEG),DEG-miRNA,and environmental chemical regulation network of the top 30 DEGs.Receiver operating characteristic(ROC)curves of 11 key DEGs were plotted and Logistic regression analysis was performed.Results There were 6 054 DEGs in the two groups of patients,and UBE2I was an important core node of the PPI interaction network.FCGR1A had the best predictive and indicative ability for AIDS combined with APTB.Univariate Logistic regression showed that high expressions of UBE2I and FCGR1A were risk factors for AIDS combined with APTB(P＜0.05).The regulatory network showed that VEGFB was a key gene in the TF-DEG network,participating in regulation with transcription factors such as SEPT9 and SMAD5.It targeted miRNAs such as hsa-mir-17-5p and hsa-mir-20a-5p,and was affected by environmental chemicals such as valproic acid and copper sulfate.Conclusion VEGFB plays an important role in the pathogenesis of AIDS combined with APTB.The abnormally high expressions of UBE2I and FCGR1A are associated with the disease progression of AIDS combined with APTB.The disease condition can be monitored by detecting the expression level of UBE2I and FCGR1A.