Objective To investigate the relationship between CT lung volume parameters(CT-LVP)and pulmonary function grade in patients with idiopathic pulmonary fibrosis(IPF)and its prediction of acute exacerbation.Methods A total of 204 patients with IPF were selected and divided into mild group(67 cases),moderate group(72 cases)and severe group(65 cases)according to the semi-quantitative scoring method of high-resolution computed tomography(HRCT).The correlation between CT-LVP and pul-monary function parameters(PFP)were analyzed.The predictive value of CT-LVP for acute exacerbation in severe IPF was ana-lyzed.Results The whole lung volume(WLV),normal lung volume(NLV)and normal lung volume percentage(NLV%)in severe group were lower than those in mild and moderate groups,whereas interstitial lung disease volume(ILDV)and interstitial lung disease volume percentage(ILDV%)were higher than those in mild and moderate groups,with statistical significance(P<0.05).WLV,NLV,ILDV,NLV%,ILDV%showed strong correlations with forced expiratory volume in 1 second percentage(FEV1%),forced expiratory volume in 1 second to forced vital capacity ratio(FEV1/FVC),diffusing capacity of the lung for carbon monoxide percent-age(DLCO%),and residual volume to total lung capacity ratio(RV/TLC).Receiver operating characteristic(ROC)curve analysis showed that the combination of WLV,NLV,ILDV,NLV%and ILDV%had higher accuracy in predicting acute exacerbation,area under the curve(AUC)>0.75(P<0.05).Conclusion CT-LVP is closely related to PFP,and the accuracy of CT-LVP combination in predicting acute exacerbation is high,which provides a theoretical basis for preventing acute exacerbation of IPF.

Objective Mendelian randomization was used to analyze the causal association between 20 serum metabolites and the risk of ovarian cancer.Methods The gene variations of 20 serum metabolites were obtained from the MRC IEU database as tool variables reflecting exposure levels,while gene variations of ovarian cancer patients were used as instrumental variables reflecting outcome levels.The ovarian cancer dataset ieu-a-1120 included 66,450 European women samples(of which 25,509 were ovarian cancer),and the dataset ieu-a-1228 included 54,990 European women samples(of which 14,049 were ovarian cancer).Two-sample two-way Mendelian randomization analysis was performed on both datasets.This study used inverse variance-weighted(IVW),weigh-ted median method,MR-Egger regression,and combined various analysis methods such as simple mode,and weighted mode.The caus-al effects of 20 metabolites and the risk of ovarian cancer were analyzed.Cochran's Q test was used to perform sensitivity analysis and to verify the reliability of the results.MR Egger intercept test was used to assess the horizontal pleiotropy of tool variables,and use the leave-one-out method to assess whether there were single nucleotide polymorphisms(SNPs)in the results that might have a potential impact on the incidence of ovarian cancer.Finally,the effects of uridine on ovarian cancer cells were verified through cell proliferation and apoptosis experiments.Results The results showed a negative correlation between uridine and the occurrence of ovarian cancer,with statistically significance(ieu-a-1228:P=0.025;ieu-a-1120:P=0.017).MR-Egger regression analysis confirmed the sensitiv-ity and robustness of the analysis results.The CCK8 assay confirmed that uridine inhibited the proliferation of ovarian cancer cells in a concentration-dependent manner,and uridine at a concentration of 10 mM significantly promoted apoptosis in SKOV3 cells(P<0.001)and A2780 cells(P<0.001).Flow cytometry analysis showed that after treatment for 24 hours,uridine at a concentration of 10 mM had the strongest pro-apoptotic effect on ovarian cancer cells,which was significant in SKOV3 and A2780 cells(P<0.05 and P<0.001,respectively).Conclusion Uridine is negatively correlated with the risk of ovarian cancer,which lays a theoretical founda-tion for further understanding the pathogenesis of ovarian cancer and optimizing clinical treatment strategies.

Objective To investigate the relationship between CT lung volume parameters(CT-LVP)and pulmonary function grade in patients with idiopathic pulmonary fibrosis(IPF)and its prediction of acute exacerbation.Methods A total of 204 patients with IPF were selected and divided into mild group(67 cases),moderate group(72 cases)and severe group(65 cases)according to the semi-quantitative scoring method of high-resolution computed tomography(HRCT).The correlation between CT-LVP and pul-monary function parameters(PFP)were analyzed.The predictive value of CT-LVP for acute exacerbation in severe IPF was ana-lyzed.Results The whole lung volume(WLV),normal lung volume(NLV)and normal lung volume percentage(NLV%)in severe group were lower than those in mild and moderate groups,whereas interstitial lung disease volume(ILDV)and interstitial lung disease volume percentage(ILDV%)were higher than those in mild and moderate groups,with statistical significance(P<0.05).WLV,NLV,ILDV,NLV%,ILDV%showed strong correlations with forced expiratory volume in 1 second percentage(FEV1%),forced expiratory volume in 1 second to forced vital capacity ratio(FEV1/FVC),diffusing capacity of the lung for carbon monoxide percent-age(DLCO%),and residual volume to total lung capacity ratio(RV/TLC).Receiver operating characteristic(ROC)curve analysis showed that the combination of WLV,NLV,ILDV,NLV%and ILDV%had higher accuracy in predicting acute exacerbation,area under the curve(AUC)>0.75(P<0.05).Conclusion CT-LVP is closely related to PFP,and the accuracy of CT-LVP combination in predicting acute exacerbation is high,which provides a theoretical basis for preventing acute exacerbation of IPF.

Objective Mendelian randomization was used to analyze the causal association between 20 serum metabolites and the risk of ovarian cancer.Methods The gene variations of 20 serum metabolites were obtained from the MRC IEU database as tool variables reflecting exposure levels,while gene variations of ovarian cancer patients were used as instrumental variables reflecting outcome levels.The ovarian cancer dataset ieu-a-1120 included 66,450 European women samples(of which 25,509 were ovarian cancer),and the dataset ieu-a-1228 included 54,990 European women samples(of which 14,049 were ovarian cancer).Two-sample two-way Mendelian randomization analysis was performed on both datasets.This study used inverse variance-weighted(IVW),weigh-ted median method,MR-Egger regression,and combined various analysis methods such as simple mode,and weighted mode.The caus-al effects of 20 metabolites and the risk of ovarian cancer were analyzed.Cochran's Q test was used to perform sensitivity analysis and to verify the reliability of the results.MR Egger intercept test was used to assess the horizontal pleiotropy of tool variables,and use the leave-one-out method to assess whether there were single nucleotide polymorphisms(SNPs)in the results that might have a potential impact on the incidence of ovarian cancer.Finally,the effects of uridine on ovarian cancer cells were verified through cell proliferation and apoptosis experiments.Results The results showed a negative correlation between uridine and the occurrence of ovarian cancer,with statistically significance(ieu-a-1228:P=0.025;ieu-a-1120:P=0.017).MR-Egger regression analysis confirmed the sensitiv-ity and robustness of the analysis results.The CCK8 assay confirmed that uridine inhibited the proliferation of ovarian cancer cells in a concentration-dependent manner,and uridine at a concentration of 10 mM significantly promoted apoptosis in SKOV3 cells(P<0.001)and A2780 cells(P<0.001).Flow cytometry analysis showed that after treatment for 24 hours,uridine at a concentration of 10 mM had the strongest pro-apoptotic effect on ovarian cancer cells,which was significant in SKOV3 and A2780 cells(P<0.05 and P<0.001,respectively).Conclusion Uridine is negatively correlated with the risk of ovarian cancer,which lays a theoretical founda-tion for further understanding the pathogenesis of ovarian cancer and optimizing clinical treatment strategies.

BACKGROUND: It has been pointed out that perioperative hypothermia can increase the incidence of coagulation, acidosis, stroke, sepsis, pneumonia and myocardial infarction, so it is of great significance to monitor and maintain normal body temperature during perioperative period. OBJECTIVE: To design a medical carbon fiber thermostatic heating pad to prevent perioperative hypothermia and reduce complications. METHODS: The carbon fiber heating technology and medical equipment standard are combined and integrated into many advanced technologies. The system mainly consisted of power supply conversion, operation system, computer control system, PWM control and output, various heating pads and temperature controlling measurement system. A total of 200 patients undergoing epidural anesthesia in Zhengzhou First People's Hospital were randomly divided into two groups: the observation group (n=100) was treated with the medical carbon fiber thermostatic heating pad (adjusting temperature 38-40 oC), and the control group (n=100) with common quilt. The body temperature and shivering were monitored before operation, 10, 30 and 60 minutes after anesthesia, and 2 hours after operation. RESULTS AND CONCLUSION: (1) The heating pad had the characteristics of explosion proof, power purification, shielding isolation, output protection, computer control, and PWM modulation. (2) In clinical application, there was no skin irritation and skin allergy reaction in the observation group. (3) During operation, the body temperature of the observation group was relatively stable, and there was no significant difference in the body temperature in the observation group before and at 2 hours after operation (P> 0.05). However, the fluctuation of body temperature in control group was visible and showed a downward trend, and the body temperature in the control group showed a significant difference before and 2 hours after operation (P < 0.05). The body temperature of 10, 30, 60 minutes after anesthesia and 2 hours after operation was significantly higher in the observation group than the control group (P < 0.05). (4) The postoperative incidence of shivering in the control group was significantly higher than that in the observation group (18％ vs. 5％, P < 0.05). To conclude, the medical carbon fiber thermostatic heating pad is advanced in technology, safe and reliable in use, providing a new way for the prevention of perioperative shivering.

Objective: To monitor the antimicrobial resistance and drug-resistance genes of Yersinia enterocolitis, Y. intermedia and Y. frederiksenii recovered from retailed fresh poultry of 4 provinces of China. Methods: The susceptibility of 25 isolated Yersinia spp. to 14 classes and 25 kinds of antibiotics was determined by broth microdilution method according to CLSI (Clinical and Laboratory Standards Institute). The antibiotic resistance genes were predicted with antibiotic resistance genes database (ARDB) using whole genome sequences of Yersinia spp. Results: In all 22 Y. enterocolitis tested, 63.7% (14 isolates), 22.8% (5 isolates), 4.6% and 4.6% of 1 isolates exhibited the resistance to cefoxitin, ampicillin-sulbactam, nitrofurantoin and trimethoprim-sulfamethoxazole, respectively. All the 25 isolates were multi-drug resistant to more than 3 antibiotics, while 64.0% of isolates were resistant to more than 4 antibiotics. A few Y. enterocolitis isolates of this study were intermediate to ceftriaxone and ciprofloxacin. Most Yersinia spp. isolates contained antibiotic resistance genes mdtG, ksgA, bacA, blaA, rosAB and acrB, and 5 isolates recovered from fresh chicken also contained dfrA1, catB2 and ant3ia. Conclusion The multi-drug resistant Yersinia spp. isolated from retailed fresh poultry is very serious in the 4 provinces of China, and their contained many kinds of drug-resistance genes.

Objective: To analyses the antimicrobial resistance and molecular characterization of 21 MRSA isolates cultured from retail foods from different provinces in China, and evaluate the molecular typing methods. Methods: Twenty-one MRSA isolates were obtained from national foodborne pathogen surveillance network in 2012 (Chinese salad, n=3; milk, n=1; cake, n=2; rice, n=1; cold noodle, n=1; spiced beef, n=1; dumpling, n=1; packed meal, n=1; salad, n=1; raw pork, n=9). The antimicrobial resistance of 21 strains to 12 antimicrobial agents was tested by broth dilution method. Polymerase chain reaction (PCR) and DNA sequencing were performed to obtain the genetic types of MLST (ST) and spa typing. The clonal complex (CC) was assigned by eBURST soft and the MLVA type (MT) and MLVA complex (MC) were identified via the database of the MLVA website (http://www.mlva.net). SmaI pulsed-field gel electrophoresis (SmaⅠ-PFGE) was also carried out to obtain the PFGE patterns of 21 strains. The genetic diversity and discriminatory power of typing were calculated by the Simpson's index of diversity (diversity index, DI) to find out the best genotyping method for MRSA. Results: All MRSA isolates showed multi-drug resistance(MDR), and were resistant to oxacillin, benzylpenicillin, clindamycin and erythromycin, and 71.4% (15/21), 47.6% (10/21), 42.9% (9/21) and 28.6% (6/21) of the MRSA isolates were resistant to tetracycline, ciprofloxacin, trimethoprim/sulfamethoxazole and gentamicin, respectively. Moreover, one strain was found to be resistant to all three antimicrobials of levofloxacin, moxifloxacin and rifampicin. Great diversity was found in these food-associated MRSA (6 STs, 7 spa types, and 9 MTs). PFGE patterns were more diverse than those of other three molecular typing methods (19 pulse types). The index of diversity (DI) of PFGE, MLVA, spa typing and MLST was 0.99, 0.80, 0.73, and 0.61, respectively. Among the MRSA isolates, CC9-ST9-t899-MT929-MC2236 (PFGE Cluster Ⅴ) was the most prevalent clone, which were all cultured from raw pork (9 isolates). Besides, two MRSA were identified as CC59-ST338-t437-MT621-MC621 (PFGE Cluster Ⅳ). Different clone had their own resistance spectrum profiles. Conclusion The food-borne MRSA isolates were all MDR in this study. Different clones had their own resistance spectrum profiles. MLVA represented a promising tool for molecular epidemiology tracing of MRSA in foodborne disease events.

Objective: To obtain the serotype diversity and antimicrobial resistance of Salmonella isolates recovered from retail chicken carcasses for sale in six regions of China. Methods: From August 2010 to March 2012, each month 20 retail chicken carcasses including freshly slaughtered, chilled and frozen samples were collected from supermarkets and farmer's markets in 7 monitoring sites in Beijing, Jilin province, Inner Mongolia Autonomous, Shanxi province, Jiangsu province and Guangdong province, respectively. Samples were routinely collected for 12 months for each site. 1 680 chicken carcasses were collected in total and 2 629 Salmonella strains were isolated by PCR and biochemical method. Luminex xMAP method and classical slide agglutination method were carried out to determine isolates' serotypes. Minimal inhibitory concentrations (MICs) of 10 classes of antimicrobials including 14 agents were determined using broth micro-dilution method. Mocular methods were used to determine antimicrobial resistance genes of CIP-CTX-CT co-resistant isolates. Results: In all, 2 629 Salmonella isolates, there were 17 seorgroups and 58 serotypes, B and D1 were the dominant serogroups with rates of 34.7% (n=913) and 31.0% (n=815), Enteritidis (30.8%, n=810), Indiana (17.6%, n=463), Infantis (10.6%, n=278) were the top three serovars. We found 224 CIP-CTX co-resistant S. Indiana containing 3 colistin resistant strains, one of them carrying mcr-1 gene and being ESBLs positive, which demonstrated a nine multi drug resistance against 11 antimicrobials tested. Conclusion These data began to describe the complicated serovar diversity and heavy antimicrobial resistance of Salmonella isolates recovered from retail chicken carcasses in six regions of China. The findings highlight the emergence of ciprofloxacin and cefotaxime co-resistant S. Indiana and also a mcr-1 positive S. Indiana with heavy multi drug resistance.

Objective To analyze dialectical thinking and medication laws of TCM master LI Ji-ren in treating rheumatoid arthritis (RA); To provide references for clinical medication. Methods Medical cases of RA in outpatient department of the First Affiliated Hospital of Wannan Medical College during January 2014 to June 2015 treated by Professor LI Ji-ren. SPSS18.0 statistical software was used to carry out frequency analysis, correlation analysis, and cluster analysis. Results The included medical cases covered 123 cases, 199 prescriptions and 211 kinds of medicine. The total medication frequency was 3503, with 52 kinds of high frequency medicine (>10%), including Astragali Radix, Angelicae Sinensis Radix, Scorpio, Spatholobi Caulix, and Sargentodoxae Caulix. 36 kinds of medicine belonged to Liver Meridian of Foot-Jueyin (69.2%); 21 kinds of medicine belonged to Kidney Meridian of Foot-Shaoyin (40.4%); 20 kinds of medicine belonged to Spleen Meridian of Foot-Taiyin (38.5%); 16 kinds of medicine belonged to Heart Meridian of Hand-Shaoyin (30.8%). High frequency medicine was mainly to be sweet, spicy and bitter. High frequency medicine was mainly to be medicine with the functions of clearing heat, tonifying (tinifying qi, blood, yang and yin), activating blood and expelling stasis, and expelling rheumatism. 127 pairs of high frequency medicine was in positive correlation, among which 36 pairs showed the correlation coefficient >0.9. High frequency cluster analysis could be mainly divided into 6 categories. Conclusion The medication laws in this study and Professor LI Ji-ren's treatment for RA emphasize consolidating basis, and are in accordance with the ideas of expelling wind and humidity, activating blood and expelling stasis and stopping pain, which can provide references for clinic.

Objective This study was to understand the structure characteristics of prophages in the genome of Enterococcus hirae R17,and also to analyze their interaction relationships with the host bacterium.Methods The gene distribution and gene encoding characteristics of prophages in the genome of Enterococcus hirae R17 were identified using the PHAST software.The virulence gene,antimicrobial resistance genes,and environmental resistance genes in the prophages were also analyzed.Results Three prophages were found on the chromosome of Enterococcus hirae,including two incomplete prophage elements (Prophage-1 and Prophage-2) and one complete prophage (Prophage-3).Some function genes of bacteria were found in the sequence of three prophages,including nucleotide transportation and metabolism related genes.One incomplete prophage carrying erythromycin-and bacitracin-resistance genes was identified in the plasmid,which suggested that prophage induced gene horizontal transfer caused erythromycin-and bacitracin-resistance of Enterococcus hirae R17.Conclusion This study laid a solid foundation for the diversity analysis of prophages of Enterococcus hirae.Prophages played an important role in promotion of antimicrobial resistance of enterococci.Scientists should pay more attention to the spread of antimicrobial resistance and pathogenicity induced by prophages.