Objective To detect the expression of RXR? gene protein in gastric cancer, superficial gastritis, normal gastric mucosa, in order to explore the relationship between the development of gastric cancer, combined with clinical and pathological analysis of its clinical significance. Methods Using immunohistochemical detection RXR? protein in gastric cancer, superficial gastritis, gastric mucosa in the normal expression. Results RXR? protein mainly located in the nucleus of cells, there are a small number of cytoplasmic staining, a brown or yellow granular, in gastric cancer, superficial gastritis, normal gastric mucosa, RXR? protein expression rates were 25.0%, 81.1%, 96.1%; group and the normal mucosa and superficial gastritis, gastric cancer group RXR? expression rate has dropped, there were significant differences (P0.05). The lymph node metastasis and tumor pathology and clinical phases closely related (P

Objective To investigate the reliability and validity of the Chinese version of the schizophrenia cognition rating scale ( SCoRS) . Methods 112 cases of schizophrenia or schizophreniform disorder inpatients were recruited and assessed using the SCoRS( Chinese version) ,the brief assessment of cognition in schizophrenia (BACS) and personal and social performance scale(PSP). The principle component analysis,reliability analysis and correlation analysis were used to analyze the data. Results Standardized Cronbach α = 0.964. All the 20 i-tems were significantly correlated. Except item 1 ,9,18,19 ( r=0. 830,0. 890,0. 871,0. 890) ,the interrater correlation coefficiency (ICC) of the rest of the items was over 0.9. The ICC of global rating scores between two raters was 0. 921. Factor analysis procedure identified three factors. Factor 1 reflected the neurocognitive state; factor 2 reflected the social cognitive state;and factor 3 mainly reflected the daily life function. The SCoRS rating scores were significantly correlated with the BACS and PSP scores. Conclusion The validity and reliability of SCoRS are acceptable. SCoRS is a useful tool for assessing the deficits of the cognitive function for Chinese schizophrenia patients.

Objective To investigate the status of the non-psychiatrist' s diagnostic and therapeutic ability of depression/anxiety disorders in 57 General Hospitals.Methods 1 152 non psychiatric clinicians in 57 general hospitals were surveyed.A custom-made questionnaire included the training of mental health-related knowledge which the general hospital physicians received and typical anxiety/depression case analysis.Results Among 1 521 non-psychiatric clinicians,596 (51.74％) clinicians participated the training of psychiatry,562 (48.78％) participated the training of medical psychology and 230(20.97％) clinicians participated the training of Healthy Psychology.In professional setting,59 (5.12％) clinicians participated the training of psychotherapy,255 (22.14％) clinicians had attended related academic symposiums.80(6.94％) clinicians believed that they understand the clinical display of anxiety/depression disorders,52 (4.51％) clinicians expressed the understanding of diagnostic criteria of anxiety/depression disorders and its treatments,while 44(3.82％) clinicians only possessed the knowledge of anxiety/depression disorder treatment.In the typical case analysis,it revealed that 794 (68.89％) clinicians made accurate diagnosis,458(57.68％)clinicians made a choice of medical treatment,764(96.22％) clinicians chose psychotherapy,29 (3.65％) clinicians applied physical therapy,while 438 (55.16％) clinicians combined drug therapy with one or more other therapeutic methods.Binary logistic regression analysis showed that the age(P=-0.093,Exp(B)=0.911)and work experience(P=-0.002,Exp(B) =1.080)significantly contribute to the diagnostic accuracy of non-psychiatrists.Conclusion The non-therapeutic psychiatric clinicians in general hospitals have certain basic knowledge of depression/anxiety disorders with lower level of diagnosis and treatment diagnosis and treatment.And there is bigger difference among different hospitals.

AIM: To study the pathological change in mouse organs immunitied by inactivated SARS-CoV vaccine. METHODS: Inactivated SARS-CoV vaccine was injected into BALB/c and C57BL/6 mice. Anti-SARS antibody was analyzed by ELISA. After 8 weeks, the immunitied mice were killed and those organs were analyzed by pathological methods. RESULTS: Anti-SARS antibody in mice was positive after 8 days. Only minimal injury was observed in a few lungs and livers, but the other organs were not. CONCLUSIONS: Inactivated SARS-CoV vaccine induced mice to create antibody, whereas they did not cause severe injury. This result will be valuable for vaccine into clinical research. [

OBJECTIVETo establish multiple seasonal autoregressive integrated moving average model(ARIMA) according to mumps disease incidence in Hunan province, and to predict the mumps incidence from May 2015 to April 2016 in Hunan province by the model.

METHODSThe data were downloaded from "Disease Surveillance Information Reporting Management System" in China Information System for Disease Control and Prevention. The monthly incidence of mumps in Hunan province was collected from January 2004 to April 2015 according to the onset date, including clinical diagnosis and laboratory confirmed cases. The predictive analysis method was the ARIMA model in SPSS 18.0 software, the ARIMA model was established on the monthly incidence of mumps from January 2004 to April 2014, and the date from May 2014 to April 2015 was used as the testing sample, Box-Ljung Q test was used to test the residual of the selected model. Finally, the monthly incidence of mumps from May 2015 to April 2016 was predicted by the model.

RESULTSThe peak months of the mumps incidence were May to July every year, and the secondary peak months were November to January of the following year, during January 2004 to April 2014 in Hunan province. After the data sequence was handled by smooth sequence, model identification, establishment and diagnosis, the ARIMA(2,1,1) × (0,1,1)(12) was established, Box-Ljung Q test found, Q=8.40, P=0.868, the residual sequence was white noise, the established model to the data information extraction was complete, the model was reasonable. The R(2) value of the model fitting degree was 0.871, and the value of BIC was -1.646, while the average absolute error of the predicted value and the actual value was 0.025/100 000, the average relative error was 13.004%. The relative error of the model for the prediction of the mumps incidence in Hunan province was small, and the predicting results were reliable. Using the ARIMA(2,1,1) ×(0,1,1)(12) model to predict the mumps incidence from April 2016 to May 2015 in Hunan province, the peak months of the mumps incidence were May to July, and the secondary peak months were November to January of the following year, the incidence of the peak month was close to the same period.

CONCLUSIONThe ARIMA(2,1,1)×(0,1,1)(12) model is well fitted the trend of the mumps disease incidence in Hunan province, it has some practical value for the prevention and control of the disease.

China ; epidemiology ; Forecasting ; Humans ; Incidence ; Models, Statistical ; Mumps ; epidemiology ; Seasons ; Software

OBJECTIVETo establish the differential templates of the skeletal profiles for Shanghainese with normal occlusion in early permanent dentition.

METHODS71 lateral cephalometric radiographs of subjects with normal occlusion in early permanent dentition, aged from 11 - 15 years (37 females and 34 males) were traced. 23 skeletal landmarks were identified on the tracings, which afterwards were scanned on the computer. An x-y coordinate system was established: the tracing superimposed on sella rotated 7 degrees down from the sella-nasion line as the x axis and the vertical line through sella perpendicular to the x axis as the y axis. A special length/depth ratio was designed. The length/depth ratio of each graph were calculated. Steiner analysis was applied to check the difference between genders.

RESULTSThere was no difference between genders. The tracings were divided into three categories: short face, normal face and long face according to the mean and standard deviation of the ratio. The three types of tracings were superimposed on the x axis with sella registered. Three templates were created.

CONCLUSIONSThe differences were apparent when the three templates were superimposed.

Adolescent ; Cephalometry ; methods ; Child ; Dental Occlusion ; Face ; anatomy & histology ; Facial Bones ; anatomy & histology ; Female ; Humans ; Male

Objective The aim of this study is to combine Raman spectroscopy and machine learning techniques to distinguish subgin-gival plaques among three groups of subjects,including patients with chronic periodontitis(CP)and type 2 diabetes mellitus(T2DM),patients with CP alone,and healthy controls.Methods The Raman spectra of the subgingival plaques from 20 patients with CP and T2DM(group A),23 patients with CP alone(group B),and 23 healthy controls(group C)were obtained using a portable Raman spec-trometer.Eight common machine learning algorithms were applied to build models to distinguish the Raman spectra of the three types of subgingival plaques.Results The model identified as optimal for distinguishing the three types of subgingival plaques was linear discri-minant analysis(LDA).The optimal model to distinguish groups A and B is LDA,groups A and C is extra trees(ET),and groups B and C group is LDA.Conclusion The proposed classification model based on Raman spectroscopy and machine learning algorithms can dis-tinguish subgingival plaques among patients with CP and T2DM,with CP alone,and healthy controls.This technique can be used in future clinical practice as a screening or diagnostic tool.

OBJECTIVE: To investigate the synergistic cytotoxicity of TRAIL and paclitaxel on nasopharyngeal cell lines CNE-1 and CNE-2. METHOD: CCK-8 assays the growth inhibition rate of CNE-1 and CNE-2 which was treated with TRAIL or paclitaxel or combination of both. Flow cytometry tests the apoptosis rate of CNE-1 and CNE-2 which was treated with TRAIL or paclitaxel or combination of each other. RESULT: In certain range of time and concentration,TRAIL and paclitaxel inhibited the growth of the cell lines of CNE-1 and CNE-2 in a time-dose dependent manner (P < 0.05). The rate of growth inhibition and apoptosis in TRAIL and paclitaxel combinative group was more significant than that in the TRAIL and paclitaxel singular group (P < 0.05). CONCLUSION TRAIL and paclitaxel had a synergistic killing effect on NPC cell lines and showed better affection than singular group, which provides a novel and prospective strategy for NPC chemotherapy.
Apoptosis ; drug effects ; Carcinoma ; Cell Line, Tumor ; Humans ; Nasopharyngeal Carcinoma ; Nasopharyngeal Neoplasms ; pathology ; Paclitaxel ; pharmacology ; Receptors, TNF-Related Apoptosis-Inducing Ligand ; pharmacology

OBJECTIVE: To study the correlation of CD44 with epithelial-mesenchymal transition(EMT) and metastasis in nasopharyngeal cancer cells, and explore the possible mechanism of CD44 regulates EMT and metastasis in nasopharyngeal cancer cells. METHOD: The CD44 and EMT-associated proteins in 5-8F and 6-10B nasopharyngeal cancer cell lines were assayed by Western blotting. The erasion trace test was performed to observe the migratory ability of 5-8F and 6-10B nasopharyngeal cancer cells. Using lipid-mediated DNA transfection technique, the low metastatic nasopharyngeal cancer cells 6-10B were transfected in vitro with plasmid which contained CD44 gene, and then new nasopharyngeal cancer cells were obtained. The CD44 and EMT-associated proteins in 6-10B, empty vector transfected and CD44-transfected cells were assayed by Western blotting. The erasion trace test was performed to observe the alteration of migratory ability of nasopharyngeal cancer cells before and after CD44 transfection. RESULT: The expression of CD44 and EMT-associated protein MMP-9 in 5-8F was higher than that in 6-10B, but EMT-associated protein E-Cadherin in 5-8F was lower than that in 6-10B. The migratory ability of 5-8F was higher than that of 6-10B. The expression of CD44 and MMP-9 were significantly higher in the CD44-transfected nasopharyngeal cancer cells than in the control groups. Compared with control groups, the migratory ability of CD44-transfected nasopharyngeal cancer cells was significantly increased. CONCLUSION CD44 positively regulates the metastatic ability of nasopharyngeal cancer cells, which is relevant to the process of EMT.
Carcinoma ; Cell Line, Tumor ; Epithelial-Mesenchymal Transition ; Humans ; Hyaluronan Receptors ; genetics ; metabolism ; Nasopharyngeal Carcinoma ; Nasopharyngeal Neoplasms ; metabolism ; pathology ; Neoplasm Metastasis ; Transfection

The structure of N-glycans on specific proteins can regulate innate and adaptive immunity via sensing environmental signals. Meanwhile, the structural diversity of N-glycans poses analytical challenges that limit the exploration of specific glycosylation functions. In this work, we used THP-1-derived macrophages as examples to show the vast potential of a N-glycan structural interpretation tool StrucGP in N-glycoproteomic analysis. The intact glycopeptides of macrophages were enriched and analyzed using mass spectrometry (MS)-based glycoproteomic approaches, followed by the large-scale mapping of site-specific glycan structures via StrucGP. Results revealed that bisected GlcNAc, core fucosylated, and sialylated glycans (e.g., HexNAc₄Hex₅Fuc₁Neu5Ac₁, N₄H₅F₁S₁) were increased in M1 and M2 macrophages, especially in the latter. The findings indicated that these structures may be closely related to macrophage polarization. In addition, a high level of glycosylated PD-L1 was observed in M1 macrophages, and the LacNAc moiety was detected at Asn-192 and Asn-200 of PD-L1, and Asn-200 contained Lewis epitopes. The precision structural interpretation of site-specific glycans and subsequent intervention of target glycoproteins and related glycosyltransferases are of great value for the development of new diagnostic and therapeutic approaches for different diseases.
Humans ; B7-H1 Antigen ; Glycosylation ; Polysaccharides/metabolism*