Objective:To identify the role of transcription factors Sp1 and Sp3 in the expressional regulation of ezrin in human esophageal carcinoma cells.Methods:Esophageal carcinoma EC109 cells were transfected with expressing vectors CMV-Sp1 or CMV-Sp3,and the effect of Sp1 and Sp3 over-expression on ezrin mRNA and protein expression was determined by real time RT-PCR and Western blot analysis.Furthermore,EC109 cells were cotransfected with the ezrin promoter-directed luciferase reporter vector and control vector pRL-TK along with transcription factor expression vector.The roles of Sp1 and Sp3 in ezrin promoter activation and whether this activation occurred through the Sp1 binding site,-75/-69,were analyzed by dual-luciferase reporter assay system.Results:Over-expression of transcription factors Sp1 and Sp3 significantly increased the expression of ezrin mRNA and protein and the ezrin promoter activity in EC109 cells.Sp1 and Sp3 enhanced the promoter activity through different binding sites and only Sp1 did that through the-75/-69 site.Conclusion:Sp1 and Sp3 can regulate ezrin expression in EC109 cells.

ObjectiveTo observe the effect of telmisartan on plasma levels of inflammatory cytokine in coronary artery disease (CAD) patients complicated with diabetes mellitus and hypertension after percutaneous coronary intervention.MethodsFifty CAD patients who just had undertook angioplasty and implanted stents were randomly divided into two groups, the test group (telmisartan group, n=25) and control group (perindopril group, n=25). After treatment, patients were followed-up for 6 months; plasma samples were collected from each patient before and after percutaneous coronary intervention. Then plasma levels of C-reactive protein (CRP), monocyte chemoattractant protein-1 (MCP-1) were measured by enzyme-linked immunoassay. The changes of cholesterol, fasting plasma glucose (FPG), insulin and insulin resistance index (IRI) were observed.ResultsAt the end of 6 months, plasma levels of CRP and MCP-1 of patients in the test group significantly declined (P<0.01), and showing a inversely correlation with FPG (P<0.01), and FPG, insulin and IRI also declined. In the control group, only CRP and MCP-1 declined (P<0.05). Meanwhile, the frequency of cardiovascular events in test group was significantly lower than that in the control group.ConclusionTelmisartan can decline plasma levels of CRP, MCP-1 and frequency of cardiovascular events as well as increasing insulin sensitivity and improving glucose metabolism to unstable angina patients.

Objectives:To establish hybridomas secreting monoclonal antibodies(McAbs) against O6-methylguanine-DNA methyltransferase(MGMT) and to observe the relationship between MGMT expression and clinical responses to ACNU and BCNU in human brain tumors.Methods:The hybridomas were established by cell fusion.MGMT expression in 60 glioma specimens was detected by means of immunohistochemical assay.Results: Seven hybridomas secreting McAbs against MGMT were obtained.Thirty tumor specimens had no detectable or low level of MGMT expression(Mer-), while 30 specimens had high level of MGMT expression(Mer+). The Mer- patients showed more sensitive to ACNU and BCNU than the Mer+ patients.Conclusions: The high specific hybridomas secreting monoclonal antibodies(McAbs) against MGMT were established.The preliminary study indicated that MGMT negative tumors were sensitive to ACNU and BCNU, whereas MGMT positive ones were more resistant to nitrosourea drugs.

Effective albumin refers to serum albumin with intact structure and function.In the course of chronic liver disease,some serum albumin loses its functional integrity through different post-translational modifications such as oxidation and glycosylation.Level of effective albumin is lower in patients with decompensated cirrhosis and is significantly correlated with patient survival,underscoring that they are more sensitive than total serum al-bumin in reflecting the actual state of liver function.In addition,effective albumin not only serves as a predictor,but also plays a key role in the treatment of chronic liver disease by improving albumin preparations and develo-ping new therapeutics.

OBJECTIVE: To observe the clinical efficacy of the simple expansion of the spinal canal decompression, decompression plus hydroxyapatite/polyamide artificial lamina reconstruction, and decompression plus titanium mesh reconstruction in the treatment of spinal canal stenosi. METHODS: A total of 39 patients with lumbar spinal stenosis (with or without disc herniation, spondylolisthesis less than I degree), who received therapy of surgery from January, 2011 to January, 2012, were retrospectively analyzed. All patients were divided into 3 groups: a laminectomy surgery alone group (group A, n=15), a decompression plus hydroxyapatite/polyamide artificial lamina reconstruction group (group B, n=14), and a laminectomy decompression plus reconstruction with titanium mesh group (group C, n=10). Intraoperative situation, the postoperative excellent rate and JOA score were analyzed. RESULTS: The duration and blood loss in surgery in group A was much less than that in the group B and C (P<0.05), but there was no statistical significance between the group B and C. The postoperative excellent rate in three groups were similar in 3 months (P>0.05). Twelve months after the surgery, the group B and C showed advantage over the group A (P<0.05). JOA scores in 3 and 12 months after the surgery were all greater than that before the surgery (P<0.05). There was no difference in excellent rates in 3 groups in 3 months after the operation (P>0.05); the group B and C showed advantage over the group A in 12 months after the operation (P<0.05). No serious complications were related to the surgery in the 3 groups. Imaging changes were not significant difference. CONCLUSION The decompression plus hydroxyapatite/polyamide artificial lamina reconstruction and the decompression plus titanium mesh reconstruction show advantages in long-term effect over the simple vertebral canal decompression.
Decompression, Surgical ; Humans ; Intervertebral Disc Displacement ; surgery ; Laminectomy ; Laminoplasty ; Reconstructive Surgical Procedures ; Retrospective Studies ; Spinal Canal ; surgery ; Spinal Fusion ; Spinal Stenosis ; surgery ; Titanium ; Treatment Outcome

Objective To verify the genetic characteristics associated with gastric cancer,and to propose a hybrid feature selection method for identifying target genes,further analyzing their significance and establishing a new diagnostic prediction model.Methods Analysis of variance in bioinformatics was performed on the original gastric cancer data,and then machine learning methods such as random forest,recursive feature elimination of support vector machine,and LASSO algorithm were used to screen gastric cancer associated genes,and the intersection of results was taken as the key gene set.The key genes were identified and verified through enrichment analysis.The diagnosis and prediction models based on 8 kinds of machine learning classification algorithms such as multi-layer perceptron,logistic regression and decision tree,were constructed using the key genes.Results The key genes selected by the hybrid feature selection method were closely related to the tumorigenesis and development.Eight key genes(TXNDC5,BMP8A,ONECUT2,COL10A1,JCHAIN,INHBA,LCTL and TRIM59)were identified as potential markers of good diagnostic efficacy in gastric cancer.The ROC curve and accuracy results demonstrated that among the 8 classification models,MLP is the best gastric cancer prediction model,with an accuracy of 97.77%,which was 3.83%higher than that of Xgboost gastric cancer prediction model.Conclusion The study identifies 8 key genes for the diagnosis and prevention of gastric cancer,and establishes the optimal prognosis model.

Tumors are serious diseases threatening human health,and the early diagnosis is essential to improve treatment success and patient survival.The study of tumor gene expression data has become a major tool for revealing tumor disease mechanisms,in which artificial intelligence plays an important role.The potential advantages of supervised learning,unsupervised learning and deep learning in tumor prediction and classification are explored from the perspective of machine learning methods.Special attention is paid to the impact of feature selection algorithms on gene screening and their importance in high-dimensional gene expression data.By providing a comprehensive overview of the application and development of artificial intelligence in the analysis of tumor gene expression data,the study aims to provide an outlook for future research directions and promote further development.

OBJECTIVETo explore the strategies which reduce the amount of xenoantigen Galalpha1,3Gal.

METHODSHuman alpha-galactosidase gene and alpha1,2-fucosyltransferase gene were transferred into cultured porcine vascular endothelial cells PEDSV.15 and human alpha-galactosidase transgenic mice were produced. The Galalpha1,3Gal on the cell surface and susceptibility of cells to human antibody-mediated lysis were analyzed.

RESULTSHuman alpha-galactosidase gene alone reduced 78% of Galalpha1,3Gal on PEDSV.15 cell surface while human alpha-galactosidase combined with alpha1,2-fucosyltransferase genes removed Galalpha1,3Gal completely. Decrease of Galalpha1,3Gal could reduce susceptibility of cells to human antibody-mediated lysis, especially during co-expression of alpha-galactosidase gene and alpha1,2-fucosyltransferase gene. RT-PCR indicated positive human alpha-galactosidase gene expression in all organs of positive human alpha-galactosidase transgenic F1 mice including heart, liver, kidney, lung, and spleen, the amount of Galalpha1,3Gal antigens on which was reduced largely. 58% of spleen cells from F1 mice were destroyed by complement-mediated lysis compared with 24% of those from normal mice.

CONCLUSIONSHuman alpha-galactosidase gene and alpha1,2-fucosyltransferase gene effectively reduce the expression of Galalpha1,3Gal antigens on endothelial cell surface and confers resistance to human serum-mediated cytolysis. The expression of human alpha-galactosidase in mice can also eliminate the Galalpha1,3Gal antigens in most tissues and decrease the susceptibility of spleen cells to human serum-mediated cytolysis.

Animals ; Antigens, Heterophile ; metabolism ; Cell Death ; Cells, Cultured ; Disaccharides ; metabolism ; Endothelial Cells ; metabolism ; Fucosyltransferases ; genetics ; metabolism ; Graft Rejection ; genetics ; Humans ; Mice ; Mice, Transgenic ; Spleen ; cytology ; Swine ; Transfection ; alpha-Galactosidase ; genetics ; metabolism

Previous studies suggest that NGAL (neutro phil gelatinase-associated lipocalin) is involved in the transformation and development of esophageal carcinoma. Alteration of NGAL expression can trigger the change of cellular morphology in esophageal carcinoma cells. However, the mechanisms remain unclear. To get a better understanding of NGAL function in esophageal carcinoma, NGAL protein was expressed in methylotrophic yeast, Pichia pastoris, and purified by chromatography. EC1.71 cells expressed high levels of NGALR (NGAL receptor) and EC109 cells expressed low levels of NGALR were used as cells model. The trafficking and the possible function of NGAL protein were then analyzed in the esophageal carcinoma cells. The results showed that 5-FAM-labeled recombinant NGAL protein could internalize into the EC1.71 and EC109 cells. Furthermore, the internalized NGAL protein could induce the alteration of cellular morphology, resulting in generation of autophagosome, transcriptional up-regulation of genes associated with autophagy and increase of phospho-ERK1/2 (p-ERK1/2). Interestingly, the treatment with the NGAL protein did not affect the intracellular iron level. These data indicate that induced autophagy by exogenous NGAL protein is a mechanism that internalized NGAL plays important roles in esophageal carcinoma cells, independent with NGAL-mediated iron transport process, while ERK1/2 signal pathway is involved in activation of autophagy by exogenous NGAL protein.

Objective:To explore the psychological status of medical staff during COVID-19 epidemic, so as to provide reference and scientific basis for carrying out further psychological intervention and ensuring the mental health of medical staff.Methods:By using convenient sampling method and the Stresss-Anxiety ubscale of Depression Anxiety Stress (DASS-21) , the mental health status of 615 medical staff was investigated by the way of questionnaire star from February 4 to 16, 2020. A total of 615 questionnaires were distributed and collected, and 615 were valid, with an effective recovery rate of 100%.Results:The detection rates of psychological stress and anxiety of medical staff were 13.82% (85/615) and 25.37% (156/615) , respectively. 31-40 years old and working in key departments were risk factors for psychological stress of medical staff ( OR=1.779, 2.127) ; Women, frequently washing hands with soap/hand sanitizer/disinfectant were protective factors for psychological stress ( OR=0.520, 0.528) . Medical staff working in designated hospitals and key departments were more likely to have anxiety ( OR=2.042, 2.702) ; The high fit of the mask to the face and bridge of the nose was a protective factor for the psychological anxiety of medical staff ( OR=0.500) . Conclusion:Medical staff show higher stress and anxiety during the epidemic of COVID-19. Psychological intervention should be carried out early, focusing on men, age 31 to 40, medical staff working in designated hospitals and key departments.