Objective To investigate the relationship between the expression of TGF ? receptor Ⅰ(RⅠ)and apoptosis in gastric carcinoma and precancerous lesions,and their effects in the development of gastric carcinoma.Methods The expressions of TGF ?RⅠ in 103 cases,including CSG(30 cases),IM(30 cases),Dys(18 cases)and GAC(25 cases)were detected by immunohistochemical techniques(SP),apoptosis cells were examined by terminal deoxynucleotidyl transferase(TdT) mediated dUTP nick end labelling(TUNEL).Results Both the expressions of TGF ?RⅠ and apoptosis indexes(AI:percentage of TUNEL positive cells)showed negative correlation with the degree of gastric mucosa lesions from CSG,IM,Dys to GAC(r=-0\^7272,P

Objective To investigate the role of astroglial glutamate-glutamine shuttle in the development of neuropathic pain (NP) in rats. Methods Forty-eight adult male SD rats weighing 200-230 g were randomly divided into 8 groups (n =6 each): Ⅰ control group (group C);Ⅱ sham operation group (group S);group ⅢNP;Ⅳ-Ⅶ 0.01, 0.03, 0.05 and 0.10 mmol/L methionine sulfoximine (MSO, an inhibitor of glutamine synthetase (GS)) group (group M1-4 );Ⅷ MSO + glutaminate group (group MG). In group C no operation was performed. In group S the sciatic nerve was only exposed but not ligated. NP was induced by ligation of the tibial nerve and commom peroneal nerve according to the technique described by Dixon. After the establishment of the model, intrathecal PBS 50 μl was injected in group NP, IT 0.01, 0.03, 0.05 and 0.10 mmol/L MSO 50 μl was injected intrathecally in group M1-4, and 0.05 mmol/L MSO 50 μl was injected intrathecally and then 0.25 mmol/L glutamine 50 μl was injected intrathecally 15 min later in group MG. Mechanical pain threshold was measured 1 week before ligation (T0 , baseline), 1 week after ligation (T1) and 15, 30, 45 and 60 min after injection of MSO (T2-5). Then rats were killed and the lumbar segment of the spinal cord was removed for determination of the expression of glial fibrillary acidic protein (GFAP) and GS and the co-expression (GFAP/GS) in the dorsal horn.Results Mechanical pain threshold was significantly lower at T1-5 in group MG and NP and at T2-4 in group M3.4 ,and the expression of GFAP, GS and GFAP/GS was significantly higher in group MG,NP and M3 than in group S and C ( P ＜ 0.05) .Conclusion Astroglial glutamate-glutamine shuttle in the spinal cord is involved in the development of neuropathic pain in rats.

Objective To analysis of the detection result of amniotic fluid chromosome which in NIPT high-risk pregnant women.Methods Amniotic fluid cells via amniotic cavity puncture were cultured and analyzed,the chromosome karyotypes were observed.Results The highest positive predictive value of NIPT was for trisomy 21(85.00%),then trisomy 18(75.00%),sex chromosome abnormalities(68.00%),other chromosome abnormalities(41.67%),trisomy 13 (25.00%).Conclusion The highest accuracy of NIPT was shown in detection of Down''s syndrome by NIPT.NIPT was screening test which is effective and noninvasive in prenatal diagnosis.Amniotic fluid Chromosomal karyotype analysis was the gold standard in the diagnosis of fetal chromosomal disease.

Objective To explore the anti-infection mechanism of carboxyamidotriazole (CAI) through studying the effects of CAI on the proliferation, apoptosis and degranulation of RBL-2H3 mass cells.Methods Compound 48/80 (C48/80) was used to induce the model of activation and degranulation in RBL-2H3 cells.The morphological change of cell degranulation was observed by neutral red staining.The release levels of histamine and β-hexosaminidase were measured by ELISA method and chromogenic assay, respectively.The cell activity was determined by CCK-8 method.And cell apoptosis was detected by Hoechst 33342 fluorescent staining.Results Compared with the control group, 10, 20, 40 μmol/L CAI inhibited C48/80-induced degranulation of RBL-2H3 cells in different degrees.CAI (20, 40 μmol/L) reduced the histamine release (P<0.01), and CAI (40 μmol/L) decreased the β-hexosaminidase release (P<0.01).In addition, the viability and apoptosis of RBL-2H3 cells were not affected at the concentrations of CAI used.Conclusions CAI can effectively inhibit the activation and degranulation of RBL-2H3 mast cells, and this effect is not through cytotoxicity.The anti-infection effect of CAI may partially due to the down-regulation of mast cell activity.

Objective:To analyze the changes in T lymphocyte subsets, B lymphocytes and NK cells in children with active tuberculosis (TB) and their clinical significance.Methods:T lymphocyte subsets, B lymphocytes and NK cells in peripheral blood samples of 106 patients with acute TB (TB group) and 106 healthy children (healthy control group) were detected by flow cytometry and compared between different groups.Results:The percentages of CD3 + T, CD4 + T and NK cells as well as the CD4 +/CD8 + T cell ratio were significantly lower in the TB group than in the healthy control group ( Z=-3.783, P=0.000; Z=-5.401, P=0.000; Z=-3.434, P=0.001; Z=-2.014, P=0.044). The percentages of double negative T (DNT) and B cells in the TB group were significantly higher than those in the healthy control group ( Z=2.765, P=0.006; Z=6.880, P=0.000). No significant difference in the percentage of CD8 + T or double positive T (DPT) cells was observed between the two groups ( P>0.05). The expression of peripheral lymphocyte subsets varied in TB children of different age groups (0-<3, 3-<6, 6-<10 and 10-<16 years old). There were significant differences in CD3 + T, DNT and B cells among the four age groups ( H=10.081, P=0.018; H=14.583, P=0.002; H=8.498, P=0.037). The percentage of CD4 + T cells was significantly lower in children with extrapulmonary TB than in those with pulmonary TB ( Z=-3.068, P=0.002). No statistically significant difference in other lymphocyte subsets was found between children with extrapulmonary and pulmonary TB ( P>0.05). Conclusions:Tuberculosis could lead to immune dysfunction in children. Dynamic monitoring of the changes in peripheral lymphocyte subsets in children with TB could be conducive to better assessment of immune status and providing personalized treatment.

The establishment and development of tissue engineering has changed the traditional treatment model which re-pair trauma with trauma. It combines seed cells with biomaterials to repair bone, cartilage, muscle, blood vessels and other tissue defects. Bone marrow mesenchymal stem cells (BMMSCs) are seed cells for stem cell regenerative medicine. They have been exten-sively studied because of many advantages, such as multi-directional differentiation, easy-extraction and culture, strong prolifera-tion ability, low immunogenicity, and so on. However, there are some problems in the repair in trauma of BMMSCs, which restrict their application in clinical medical treatment. Therefore, a great deal of basic experimental studies are still needed. In a large number of experiments on BMMSCs, various types of detection methods emerge in an endless stream. In order to monitor its status like migration, proliferation and differentiation in vivo, tracing technology has been using. Tracing, in short, is the tracking of mark-ers. There are three types of labeling methods, including Report gene, Fluorescent dyes and Nano particle, using one or more of the medical imaging technologies, such as optical imaging, magnetic resonance imaging (MRI) and radionuclide imaging (RNI) to ob-serve. Thus, a variety of tracer techniques are formed. Different tracing technologies have their own advantages and disadvantages, which are related to the nature of the selected marker itself and the characteristics of the imaging technique. In order to obtain bet-ter and more accurate experimental results, researchers are constantly improving and developing new tracing technology. In this paper, we classify tracing techniques by different labeling methods, review and prospect the various tracing techniques currently applied to BMMSCs.

Objective To study the clinical significance of EGFR mutation in patients with advanced non -small cell lung cancer combined with malignant pleural effusion,and to provide reliable theoretical basis for clinical treatment .Methods 3 0 patients of advanced non -small -cell lung cancer complicated with malignant pleural effusion in Zhoushan island area were selected.DNA was extracted in the pleural effusion and EGFR 19,21 two loci of gene mutation was detected by sequencing PCR.EGFR and clinical characteristics of the patients (gender,age,smoking history,disease types of cases and in the level of CEA level)was compared.Results Among the 30 cases,4 cases of gene mutation,1 case of male patient,3 cases of female patients,4 cases of adenocarcinoma,4 cases of non smokers, 2 cases of EGFR19 deletion,2 cases of EGFR21 mutation.Among them,3 patients were treated by biological target therapy,the survival time was more than 1 year,and there were no obvious adverse reactions,and the effective rate was 75.00%.Conclusion The gene mutations of EGFR were detected in the patients with advanced non -small cell lung cancer combined with malignant pleural effusion,and the mutation rate 13.30%,which was high in female,non smoker and adenocarcinoma,and it could be used to treat the tumor.

Objective To clarify the anti-inflammatory quality markers(Q-markers)of Salvia plebeia and determine their contents,so as to provide a reference for the quality control of Salvia plebeia.Methods The main components of Salvia plebeia were characterized by high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS).According to the fragmentation information of the secondary mass spectrometry and the literature data,the analysis and identification were carried out.Further,the active components with high oral bioavailability(OB)and in line with the five principles of drug-like(DL)were screened from the identified chemical components through the SwissADME platform.The SwissTargetPrediction database was used to find and predict the component targets of Salvia plebeia.Disease targets were screened through online Mendelian Inheritance in Man(OMIM),GeneCards database,etc.String11.5 database and Cytoscape3.7.2 software were used to construct the PPI network and screen core targets.Gene Ontology(GO)annotation and KEGG pathway enrichment analysis were performed using DAVID6.8,and the enriched pathways were verified by experiments to clarify their mechanism of action.Reverse traceability was used to analyze the potential pharmacodynamic material basis of key pathways,experimental verification was carried out,and high-performance liquid chromatography(HPLC)content determination method was established.Results 36 main components were identified,including flavonoids and terpenoids.Further screening of 190 active ingredients and disease intersection targets;through network topology screening,18 core targets were obtained;enrichment analysis showed that the primary pathways involved in the anti-inflammatory effect of Salvia plebeia include:NF-κB signaling pathway,PI3K-Akt signaling pathway and TNF signaling pathway.Four related components including homoplantaginin,hispidulin,luteolin and isorhamnetin were obtained by reverse traceability of the NF-κB signaling pathway.Molecular docking demonstrated excellent docking activities of the 4 components to PTGS2 with the binding energies of-9.5,-9.7,-9.4,and-9.4 kcal·mol-1,respectively.According to the measurability of quality markers,it was determined that homoplantaginin and hispidulin could be used as anti-inflammatory quality markers of Salvia plebeia.Western Blot results showed that homoplantaginin and hispidulin could significantly reduce the expression of COX-2 and NF-κB p-p65(P<0.05,P<0.01).Conclusion The anti-inflammatory quality markers of Salvia plebeia are homoplantaginin and hispidulin,which can exert anti-inflammatory effects through the NF-κB pathway.

Objective To evaluate the feasibility and clinical effects of percutaneous endoscopic technique in treating multi-segmental lumbar spinal stenosis in the elderly.Methods Thirty elderly patients with multi-segmental lumbar spinal stenosis and an indefinite positioning of duty segments were retrospectively analyzed.Based on treatment mode of the stenotic segment of lumbar spine,all patients were divided to two groups.The segments of lateral recess or foraminal stenosis were treated with percutaneous endoscopic decompression via the transforaminal approach,while the segments of central stenosis were treated with percutaneous endoscopic decompression via the interlaminar approach.Results Twenty-seven (90％) patients were treated in double segments and three patients (10％) were treated in three segments.There were significant improvements in Visual Analogue Scale,Japanese Orthopaedic Association and Oswestry disability index scores at 3 day and 1 year after therapy as compared with pre-therapy (both P ＜ 0.05).Conclusions Percutaneous endoscopic technique is safe and effective in the treatment of elderly multi-segmental lumbar spinal stenosis.

Objective:To construct and validate a prediction model combined machine learning with imaging omics characteristics in differentiating anaplastic glioma from glioblastoma.Methods:Imaging data of 241 patients with anaplastic glioma or glioblastoma, confirmed by pathology in our hospital from August 2005 to August 2012, were retrospectively collected. These patients were divided into a training group ( n=140) and a verification group ( n=101) according to random number table method. MRIcron software was used to delineate tumor boundaries of patients from the training group on preoperative T1 enhanced MR imaging. The regions of interest (ROIs) were outlined on preoperative T1 enhanced MR imaging, and the radiomic features were extracted from ROIs by Matlab software. Least absolute shrinkage and selection operator (LASSO) regression model was used to screen the features, and then, the selected features were used to construct the prediction model by support vector machine (SVM) classifier. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of the model. Results:In these 241 patients, 101 were with anaplastic glioma and 140 were with glioblastoma confirmed by pathology. In the training group and validation group, there was statistical difference in age between patients with anaplastic glioma and glioblastoma ( P<0.05); there was no significant difference in gender distribution, tumor location, and percentages of tumor necrosis or edema between patients with anaplastic glioma and glioblastoma ( P>0.05). Totally, 431 radiomic features were extracted; 11 radiomic features were screened by LASSO regression model and the prediction model was established. The AUC of ROC curve was 0.942 and 0.875, respectively, in the training group and validation group. Conclusion:The prediction model combined machine learning and imaging omics characteristics can effectively discriminate anaplastic glioma from glioblastoma.