The Activating Transcription Factor 2 (ATF2) mainly regulates gene transcriptions through mediating cellular response to environmental stimulus. Accumulating studies show that ATF2 is involved in tumorigenesis and tumor cell proliferation, differentiation , apoptosis , invasion and metastasis. Activation of ATF2 may promote tumor cells growth, however, there are several studies show that ATF2 might inhibit growth of tumor cell. Further understanding of the role for ATF2 in tumorigenesis might provide novel thinking pathways for tumor etiology and therapy.

Objective To establish the specific 16S 23S rRNA gene spacer regions map of different bacteria by PCR, RFLP(restriction fragment length polymorphism ),DNA clone and sequences analysis. Methods A pair of primer was selected from highly conserved sequences adjacent to the 16S 23S rRNA spacer region. The farget rRNA regions from 61 strains of standard bacteria and corresponding clinical isolates representing for 20 genera and 26 species were amplified by PCR,and thereafter analyzed RFLP, DNA clone and sequences analysis.Meanwhile, all the specimens were examined by bacterial culture and PCR RFLP analysis. Results 26 different standard strains presented one band,two bands,three bands and more than three bands respectively, the sensitivity of which reached 2.5 CFU and had no cross reaction to the human genomic DNA,fungus and virus.14 species could be distinguished immediately by PCR, other 10 species must be identified by further Hinf I or Alu I digestion. K.pneumoniae and E.durans differentiate only at the site of 779 th nucleotide according to the sequence analysis, and only one enzyme Xma III could discriminate them.15 specimens from 42 septicemic neonates were blood culture positive and the positive rate was 35.7%. However, 27 specimens were positive by PCR and the positive rate was 64.2%,which was significantly higher than that of the blood culture( P

To report the process of diagnosis and treatment of 1 case with SRY gene mutation of 46, XY complete gonadal dysplasia, and to discuss the clinical characteristics, diagnosis and treatment of the disease.Due to clitoral enlargement for 8 months, a 9 years old girl was admitted to the Children′s Hospital Affiliated to Zhejiang University School of Medicine.Previously, she had early breast development, and suffered from high gonadotropin expression when she was 6 years and 4 months old.Physical examination: breast B3 stage, female vulva, clitoris hypertrophy, normal urethra, normal vaginal opening, slightly thick hymen ring, the development of pubic hair was 2 stages, and Prader score level 1.Laboratory data showed elevated levels of estradiol, testosterone, and human chorionic gonadotrophin.Genetic examination revealed that the chromosome karyotype was 46, XY and SRY gene detection was positive.Therefore, the patient was diagnosed with 46, XY complete gonadal dysplasia.Bilateral gonadectomy was performed, and the posto-perative pathological diagnosis was bilateral gonadoblastoma with left dysgerminoma.The tumor did not recur after che-motherapy.The etiology of early breast development needs to be carefully identified.Patients with sexual characteristics dysplasia need to accept the chromosome karyotype analysis and gene detection, and surgical exploration should be performed when necessary for a correct diagnosis as soon as possible.

Objective To evaluate the value of serum uric acid(UA)levels with reference to the age,waist circumference,and body mass index(BMI)in predicting the metabolic syndrome(MS)in obese children.Methods A total of 300 obese children,including 180 boys and 120 girls,were enrolled in this study.The height,BMI,waist and hip circumference,blood pressure,serum glucose,insulin and lipid profile in all participants were measured.Oral glucose tolerance test and insulin releasing test were performed.The boys or girls were divided into 4 groups according to the 4 quantile of UA level,respectively.The clinical characteristics and correlation of UA with the clinical indexes and MS components were compared.The binary Logistic regression analysis was applied in the risk of MS and its components for the 4 groups of obese children.The area under the receiver operating characteristic curve(ROC curve)of UA level,age,waist circumference and BMI were used to predict the MS.Results UA level was increased with the increase of age,waist circumference and BMI,and the UA level was significantly correlated with triacylglycerol,postprandial 2 h glucose(2 h PG)(r=0.196,0.174 in boys;r=0.291,0.179 in girls).In boys,the adjusted odds ratio and 95％CI of the highest quartile of UA for triglyceridemia was 2.71(95％CI:0.77-9.58);which in girls,the adjusted odds ratio and 95％CI of the highest quartile of UA for hyperglycemia,hypertension were 8.45(95％CI:1.76-40.52)and 3.93(95％CI:0.66-23.33),respectively,with significant differences.In boys,the area under the ROC curve of UA level,age,waist circumference and BMI which predict the MS were 0.652 0.626,0.621,0.62,respectively,and the differences were significant(all P<0.05).Conclusions The UA level is significantly correlated with the composition of MS,UA detection combining with reference to the age,waist circumference,and BMI is helpful for the identification of high risk groups of metabolic syndrome.

Objective: Ovarian carcinosarcoma (OCS) is one of rarest and most challenging histologic subtype of ovarian cancer. It features remarkable cellular heterogeneity. Using single-cell RNA sequencing (scRNA-seq), we characterize the cellular composition of OCS and identify their molecular characteristics. Methods: We applied scRNA-seq to resected primary OCS for the in-depth analysis of tumor cells and the tumor microenvironment. Immunohistochemistry staining was used for validation. Results: Malignant epithelial and fibroblast cells displayed a high-degree of intratumoral heterogeneity. We revealed that certain epithelial cell subclusters had high levels of drug resistance scores and many active metabolic pathways. Furthermore, γδ T cells exhibited enriched interferon (IFN)-γ and IFN-α response characteristics. Analyzing ligand-receptor interaction pairs between cell types, we identified broadly interacting cells and observed an interaction between the ANXA1+ epithelial population and FPR1+/FPR3+ myeloid cells. Conclusion Our findings provide a single-cell transcriptomic signature of human OCS and present a well-established resource for elucidating OCS diversity.

Objective: To investigate and analyze the awareness, utilization, and satisfaction of patients with chronic diseases (hypertension and type 2 diabetes mellitus), as well as the influencing factors related to health management services for chronic diseases in basic public health service projects in Zhejiang Province, in order to promote the development of effective health management services for chronic diseases. Methods: Between September and November 2017, 960 local patients with chronic diseases aged 35 years or older were randomly selected in eight counties (cities/districts) in Zhejiang province using the random number table, based on the chronic disease information from the information management system. A total of 394 (41.04%) male and 566 (58.96%) female patients, with an average age of (68.02±10.02) years, participated in this study. Face-to-face questionnaires were used to collect patients’ awareness, utilization, and satisfaction with health management services for chronic diseases. The awareness of health management services for chronic diseases and their utilization status were described and analyzed by statistical rate indicators. Possible factors affecting the awareness and utilization status were analyzed by χ² test and logistic regression. Satisfaction scores of patients with chronic diseases were analyzed by means and standard deviation. T-test was used to compare the satisfaction level with service items (service convenience, service environment, waiting time, medical skill level, and service attitude) between urban and rural patients with chronic diseases. Finally, multivariate logistic regression analysis was conducted to determine overall satisfaction. Results: The overall awareness of health management services for chronic diseases in chronic disease patients was 96.15%. Multivariate Logistic regression analysis showed that patients who lived in developed regions, rural areas, and patients who did not live alone had more awareness of health management services (OR= 0.347, 3.563, and 0.281, all P <0.05). The overall utilization rate of health management services for chronic diseases in chronic disease patients was 94.58%. Multivariate Logistic regression analysis revealed that patients who lived in developed regions and rural areas showed better utilization of health management services (OR= 0.297 and 4.145, all P<0.05). The average satisfaction score of patients for all items of health management services was above nine. The satisfaction scores of chronic disease patients in rural areas regarding service convenience, service environment, waiting time, and service attitude were better than those of chronic disease patients in urban areas (t=-2.157, -3.614, -3.164, -2.879, all P<0.05). The overall satisfaction score regarding health management services for chronic diseases was 92.95%. Multivariate Logistic regression analysis showed that patients who purchased health insurance for urban and rural residents reported higher overall satisfaction with health management services for chronic diseases compared to those patients who purchase other medical insurance (OR=2.943, P<0.05). Conclusion The current level of awareness, utilization, and satisfaction with health management services for chronic diseases among chronic disease patients in Zhejiang province should be further improved. Moreover, attention should be paid to the balanced development of urban and rural areas to further increase the equality level of basic public health services.

Objective:The present study used single-cell RNA sequencing(scRNA-seq)to characterize the cellular composition of ovarian carcinosarcoma(OCS)and identify its molecular characteristics.Methods:scRNA-seq was performed in resected primary OCS for an in-depth analysis of tumor cells and the tumor microenvironment.Immunohistochemistry staining was used for validation.The scRNA-seq data of OCS were compared with those of high-grade serous ovarian carcinoma(HGSOC)tumors and other OCS tumors.Results:Both malignant epithelial and malignant mesenchymal cells were observed in the OCS patient of this study.We identified four epithelial cell subclusters with different biological roles.Among them,epithelial subcluster 4 presented high levels of breast cancer type 1 susceptibility protein homolog(BRCA1)and DNA topoisomerase 2-α(TOP2A)expression and was related to drug resistance and cell cycle.We analyzed the interaction between epithelial and mesenchymal cells and found that fibroblast growth factor(FGF)and pleiotrophin(PTN)signalings were the main pathways contributing to communication between these cells.Moreover,we compared the malignant epithelial and mesenchymal cells of this OCS tumor with our previous published HGSOC scRNA-seq data and OCS data.All the epithelial subclusters in the OCS tumor could be found in the HGSOC samples.Notably,the mesenchymal subcluster C14 exhibited specific expression patterns in the OCS tumor,characterized by elevated expression of cytochrome P450 family 24 subfamily A member 1(CYP24A1),collagen type XXIII α1 chain(COL23A1),cholecystokinin(CCK),bone morphogenetic protein 7(BMP7),PTN,Wnt inhibitory factor 1(WIF1),and insulin-like growth factor 2(IGF2).Moreover,this subcluster showed distinct characteristics when compared with both another previously published OCS tumor and normal ovarian tissue.Conclusions:This study provides the single-cell transcriptomics signature of human OCS,which constitutes a new resource for elucidating OCS diversity.

Objective To understand the distribution of the severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang province,and predict the incidence and the probability of SFTS outbreak.Methods Based on the cases of SFTS from 2011-2015,software ArcGIS 10.0 was used to analyze the spatial distribution,Moran's I and Getis-Ord Gi were used to analyze the spatial autocorrelation.The incidence trend was explored by trend surface analysis,and the prediction was made by Kriging interpolation.Results The incidence of SFTS increased and the distribution expanded in Zhejiang from 2011 to 2015,the seasonal and the demographic characteristics of SFTS were similar to the previous research;there were regional clustering of the cases (P＜0.001);a downward trend was observed from northeast to southwest in terms of incidence of SFTS;the second-order disjunctive Kriging interpolation based on circular model and the indicator Kriging interpolation based on exponential model had higher prediction accuracy,the probabilities of outbreak in Anji,Daishan and Tiantai were high,the prediction deviation of inland was less than that of edge area.Conclusion The prediction of SFTS by Kriging interpolation had high accuracy,the incidence of SFTS was higher and the distribution of SFTS was larger than the results of surveillance,the risk areas for epidemic were Anji,Daishan,Ninghai,Tiantai,Sanmen and Linhai.

Objective To analyze the spatial-temporal characteristic of the incidence of hepatitis E (HEV) in Zhejiang Province.Methods Data related to HEV cases in Zhejiang Province in 2015 were collected from the Infectious Disease Reporting Information System in the Information System of Disease Prevention and Control of China.The ArcGIS (10.0) was used to analyze the spatial autocorrelation,R software was used to explore the spatialtemporal-multicomponent of the incidence based on the epidemic component,autoregressive component and endemic component.Results There were 1 738 cases identified and the incidence of HEV in Zhejiang Province in 2015 was 3.16/105.There were obvious regional clustering of the cases (P ＜ 0.05),the northwest regional of Zhejiang had higher incidence of aggregation.The impact of the epidemic component was strong in most of the districts of Hangzhou Municipality,parts of Huzhou and Jiaxing Municipality.The impact of autoregressive component was strong in the main urban area of Hangzhou Municipality,Lin'an and Wenlin.The impact of endemic component was relatively lower and autoregressive component was the same in a whole area.Conclusion The spatial-temporal characteristic of the incidence of HEV in different areas are heterogeneous,it is suggested that the risk factors maybe different and targeted strategies should be taken to control the disease.

Long non-coding RNAs(lncRNAs)play an indispensable role in the occurrence and development of ovarian cancer(OC).However,the potential involvement of lncRNAs in the progression of OC is largely unknown.To investigate the detailed roles and mechanisms of RAD51 homolog B-antisense 1(RAD51B-AS1),a novel lncRNA in OC,reverse transcription-quantitative polymerase chain reaction(RT-qPCR)was performed to verify the expression of RAD51B-AS1.Cellular proliferation,metastasis,and apoptosis were detected using the cell counting kit-8(CCK-8),colony-formation,transwell,and flow cytometry assays.Mouse xenograft models were established for the detection of tumorigenesis.The results revealed that RAD51B-AS1 was significantly upregulated in a highly metastatic human OC cell line and OC tissues.RAD51B-AS1 significantly increased the proliferation and metastasis of OC cells and enhanced their resistance to anoikis.Biogenetics prediction analysis revealed that the only target gene of RAD51B-AS1 was RAD51B.Subsequent gene function experiments revealed that RAD51B exerts the same biological effects as RAD51B-AS1.Rescue experiments demonstrated that the malignant biological behaviors promoted by RAD51B-AS1 overexpression were partially or completely reversed by RAD51B silencing in vitro and in vivo.Thus,RAD51B-AS1 promotes the malignant biological behaviors of OC and activates the protein kinase B(Akt)/B cell lymphoma protein-2(Bcl-2)signaling pathway,and these effects may be associated with the positive regulation of RAD51B expression.RAD51B-AS1 is expected to serve as a novel molecular biomarker for the diagnosis and prediction of poor prognosis in OC,and as a potential therapeutic target for disease management.