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@#Objective To investigate the expression of long non－coding ＲNA SFTA1P in non small cell lung cancer ( NSCLC) and its biological function in NSCLC cell lines． Methods Quantitative real time polymerase chain reaction( qＲT－PCＲ) was used to detect the expression of SFTA1P in 18 pairs of NSCLC tissues and adjacent normal tissues． The expression of SFTA1P was detected by qＲT－PCＲ in five different NSCLC cell lines ( A549，SPCA1，H460，H1975 and H1299) and one normal lung epithelial cell line ( HBE) ． The overexpression vector of SFTA1P was designed and constructed． The overex- pressed cell line was constructed by transfection，the effects of overexpression of SFTA1P on proliferation， invasion and migration of NSCLC cells were detected by CCK－8 assay and transwell assay． Ｒesults The expression of SFTA1P in NSCLC tissues was lower than that of adjacent normal tissues ( t = 2. 158，P = 0. 043) ． SFTA1P expression was detected in 5 strains of NSCLC cell lines and normal lung epithelial cell line． The expression of SFTA1P was the lowest in A549 and H460 cell lines ( t = 5. 769，P = 0. 004; t = 5. 772，P= 0. 004) ，and the highest in H1299 and H1975 cell lines ( t = 22. 248，P＜0. 001; t = 11. 814，P ＜0. 001) ． SFTA1P overexpression cell models were successfully constructed using A549 and H460 cell lines( all P＜0．05) ． The overexpression of SFTA1P could inhibit proliferation，invasion and migration of H460 and A549 cells ( ( all P ＜ 0． 05) ． Conclusions SFTA1P can affect the biological functions of NSCLC cells by inhibiting the proliferation，migration and invasion． SFTA1P may play a role as a tumor suppressor gene in tumorigenesis and development．
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Objective To investigate the incidence and its main pathogenic bacteria infection status of food-borne diarrhea and analyze their influencing factors in Yunnan province from 2012 to 2016. Me thods 1743 cases of food-borne diarrhea were collected, which were supervised from 11 hospitals covering from 2012 to 2016 years in Yunnan province.We gathered and tested the biological samples. Meanwhile, we analyzed the main pathogenic bacteria and their influencing factors. Re s ults 65 positive strains samples were checked out in 1743 cases of food-borne diarrhea positive samples, the positive rate was 3.73％ (65/1743). Salmonella and Shigella strains were the main pathogenic bacteria, the main suspect food was meat and its products, as well as fruits and their products. In this study, Professions, methods of processing and clinical diagnosis were considered as the main factors of main pathogenic microbe detectable rates of food-borne diarrhea cases in Yunnan province. Conclus ion We should carry out public health education widespreadly in nursery, scattered children, farmers and migrant workers, students and other special crowds, provide intervention measures, attach great importance to food processing, reduce the possible contamination of food during processing, improve the level of clinical diagnosis and treatment and the recognization ability of food-borne diseases, and propose targeted prevention and control measures.Thus, food-borne disease can be prevented and controlled effectively.
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Objective To study the serotypes and molecular characteristics of foodborne Salmonella in Yunnan Province using pulsed field gel electrophoresis (PFGE) and to establish PFGE fingerprint database. Methods This study was carried out on the basis of the Serological typing of 322 strains of foodborne Salmonella which was isolated from Yunnan national foodborne disease surveillance from 2013 to 2016. The clustering analysis was conducted on 148 strains of Salmonella DNA restriction enzyme map by using the software of BioNumerics. Fingerprint database was established through the comparison of clustering analysis correlation on bacterial strain. Results The serotype of 322 strains of Salmonella mainly included A, B, C, D, E, F, G and other 7 groups,among which Salmonella typhimurium was the major type, accounting for 11.4% (37/322) . Cluster analysis was applied using BioNumerics software in 148 strains of Salmonella DNA restriction enzyme map. According to the different number and the different positions, electrophoresis strips were divided into 102 different PFGE patterns (Figure 1) , which was categorized into 39 clusters if 90% of the strips was similar. Conclusion Foodborne salmonella molecular classification is complex. Salmonella typhimurium is the major type. PFGE belt type presents diversity.
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Objective To provide a besis of the control measures for foodborne disease outbreaks by analysing the laws and the popular features of foodlorne disease outbreaks in yunnan from 2013 to 2017.Methods The data of epidemic situation and field investigation of foodborne disease outbreaks from 2013 to 2017 in Yunnan province was analyzed. Results From 2013 to 2017,a total of 2 519 cases of foodborne disease outbreaks were repeatedin Yunnan Province,Among 18681 cases, 257 patients died with mortality 1.38% . Foodborne disease outbreaks occur in the third quarters.Outbreaking and outbreaking from a few number of households, followed by the work unit Employer Unit; outbreaking deaths in the family is also the most. Primary causal factor is plant. Pathogen the pathogenic bacteria main pathogen are Salmonella (38.89%), Bacillus cereus intoxication bacillus (38.89%),staphylococcus aureus (11.11%), Diarrheagenic escherichia coli (5.56%), Proteus Proteus species Proteus vulgaris (5.56%),et al. Conclusion From 2013 to 2017,foodborne disease outbreaking in yunnan is mainly due to plants and micro－organisms and mosty oceurs at home and canteens. It is necessary to strengthen the food hygiene management at home and canteens,to avoid foodborne disease outbreaking incidents.
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Objective To understand the status of mobile phone use and bacterial carriage on surface of mobile phones used by health care workers(HCWs) in municipal hospitals in a city,explore the influencing factors of mobile phone use behavior and bacterial carriage status.Methods In April-June,2016,111 HCWs in 24 hospitals in a city were performed questionnaire survey,on-site observation,and sampling of mobile phone surface.Results A total of 111 (100.00％) available questionnaires were distributed and returned.The average age of the respondents were (32.00 ± 9.03)years old,female and nurses were predominant.95.50％ of respondents used touch screen mobile phones,24.32％ used mobile phones during diagnosis and treatment,65.77％ used mobile phone ＞2 hours every day,93.69％ cleaned and disinfected mobile phones,98.20％ thought that pathogenic microorganisms exited on the surface of mobile phones.A total of 111 mobile phone surface specimens were collected,the qualified rate was 80.18％,contamination rate was 95.50％,average colony number was 2.90 CFU/cm2,the maximum bacterial content was 111.60 CFU/cm2.Among 44 specimens of mobile phone surface,55 strains of 18 species of pathogenic bacteria or opportunistic pathogenic bacteria were detected.Age,gender,and occupation were the influencing factors of mobile phone use behavior and attitude;qualified rates were all significantly different among mobile phones used by HCWs of different gender,occupation,and duration of mobile phone use (all P＜0.05);bacterial contamination on the surface of mobile phones used by HCWs of different age,gender,occupation,duration of mobile phone use,and whether to use the phone shell/set were significantly different respectively(all P＜0.05).Conclusion Potential pathogens on the surface of mobile phones may cause healthcare-associated infection through the use of mobile phones by HCWs during the process of medical diagnosis and treatment.
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<p><b>OBJECTIVE</b>To observe the effect of chronic arsenic exposure on cerebral cortex and serum metabolics of mice and explore the mechanism of arsenic neurotoxicity.</p><p><b>METHODS</b>Twelve 3-week-old male C57BL/6J mice were randomly assigned into exposure group and control group and exposed to sodium arsenite (50 mg/L) via drinking water and deionized water for 12 weeks, respectively. After the exposure, arsenic level in the cerebrum was determined by hydride generation-atomic fluorescence spectrometry. The metabolites in the cerebral cortex and serum were determined using gas chromatography-mass spectrometry (GC/MS) analysis. Principal component analysis (PCA) was used to analyze the difference of the metabolites between the exposure and the control groups. Online tools for analyzing metabolic pathways were used to identify the related metabolites pathways.</p><p><b>RESULTS</b>Arsenic content in the brain of exposure group was significantly higher than that in the control group (P<0.05). The mice exposed to arsenic had a higher level of citric acid, phenylalanine, tyrosine, histidine and lysine in the cerebral cortex (P<0.05). Serum levels of serine, glycine, proline, aspartate and glutamate were significantly higher while α-ketoglutaric acid level was significantly lower in the exposure group than in the control group (P<0.05). PCA analysis showed a significant difference in cerebral cortex and serum metabolites between the two groups.</p><p><b>CONCLUSION</b>Chronic arsenic exposure may affect the function of the central nervous system by interfering with amino acid metabolism and tricarboxylic acid cycle, which may be one of the mechanisms of arsenic neurotoxicity.</p>