BACKGROUND:Studies have demonstrated that prosthetic valve endocarditis is primarily caused by bacteria adhering on the surface of the materials.Thus,the relationship of prosthetic valve materials with bacteria adhesion and growth is an important subject.OBJECTIVE:To explore the influence of prosthetic valve materials on bacteria growth through observing the relationship of bacteria adhesion on prosthetic valve materials and bacteria growth.DESIGN,TIME AND SETTING:Repetitive measurement was performed at the Department of Cardiac and Thoracic Surgery,Third Hospital of Kunming Medical College from January to March 2001.MATERIALS:Terylene(Dacron)was purchased from Man-made Blood Vessel Laboratory of Suzhou Weaves Belt Factory;polytetrafluoroethylene was provided by Teflon-GoreTexW.L.Gore & Associates,Inc.Arizona,USA;pyrolytic carbon was provided by Department of Biological Material of Sichuan Union University;staphylococcus anreus,Escherichia coli,staphylococcus epidermidis,and Pseudomonas aerugmosa were prepared by our laboratory.METHODS:The growth curve of staphylococcus aureus,staphylococcus epidermidis,Escherichia coli and Pseudomonas aeruginosa on dacron,pyrolytic carbon and pelytetrafluoroethylene were quantitatively determined respectively by plate counting and gamma.ray counting of 125 Ⅰ radiolabeled bacteria in vitro.Bacteria growing normally served as control.All bacteria were cultured for 30 hours,and bacteria concentration was determined every 2 hours.In addition,the adhesive capacities of foMr kinds of bacteria on dacron,pyrolytic carbon and polytetrafluoroethylene were detected Escherichia coli and Pseudomonas aeruginosa on dacron,pyrolytic carbon and polytetrafluoroethytene.RESULTS:There were no significant differences in adhesive capacities of each bacterium on dacron,pyrolytic carbon and polytetrafluoroethylene at the same time point(P>0.05).The differences in growth curve of four kinds of bacteria on prosthetic valve materials were not remarkable compared to the control(P>0.05).Different bacteria showed different adhesion degree on the materials:staphylococcus aureus exhibited strongest adhesion on dacron;staphylococcus epidermidis on pyrolytic carbon;Escherichia coli on dacron.The adhesive capacity of Pseudomonas aerugmosa on dacron reached peak within 12 hours,and gradually decreased,but maintained strong adhesion on the other materials.The adhesive capacmes of four bacteria on the materials did not increase or maintain with time.CONCLUSION:The adhesive capacity of one bacterium to different artificial valve materials and different bacteria to one prosthetic valve materials is different.The materials.show little influence on bacterium growth cycle.

Objective To study the effect of histone deacetylase inhibitors on cell cycle of breast cancer cell line MCF-7.Methods The breast cancer cell line MCF-7 was treated by histone deacetylase inhibitors (TSA、SAHA、CS055、MS-275)respectively and observed by MTT assay after 24 hours,48 hours,72 hours,96 hours.The chosen inhibitor was used to treat MCF-7 cell in different concentration.The flow cytometry was used to detect the Sphase cell and Cyclin A2,Cyclin D1.SPSS 10.0 was used to analyze the data.Results Within the four inhibitors,SAHA showed the most powerful effect of depression of cell growth and time-effect relation.The percentage of Sphase cells and level of Cyclin A2 decreased,the level of Cyclin D1 increased.Conclusions SAHA is the most powerful histone deacetylase inhibitors for breast cancer cell MCF-7,the effect of depression of cell growth shows time-effect relation.Cyclin A2 and Cyclin D1 were involed in this regulation of cell cycle.

ObjectiveTo investigate the effect of Xuanfei Zhisou prescription on the interleukin-17 （IL-17） signaling pathway in model rats with chronic obstructive pulmonary disease （COPD）. MethodA total of 60 Wistar rats were randomly divided into a blank group （10 rats） and a model group （50 rats）， and COPD model rats were established by tracheal infusion of lipopolysaccharide combined with passive fumigation. After modeling， the rats were divided into the model group， dexamethasone group， and high， medium， and low-dose Xuanfei Zhisou prescription groups （3.6， 1.8， 0.9 g·kg^-1·d^-1） according to the random number table. Rats in the blank group and model group were given normal saline of 10 mL·kg^-1·d^-1 by gavage administration， and the intervention groups of Xuanfei Zhisou prescription were given corresponding drugs. Rats in the dexamethasone group were given dexamethasone of 2.57×10^-4 g·kg^-1·d^-1 for 28 days. The level of pulmonary function indexes in rats was measured by a pulmonary function detector. The contents of interleukin-6 （IL-6）， interleukin-8 （IL-8）， IL-17， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） were detected by enzyme-linked immunosorbent assay （ELISA）. The positive expressions of IL-17A， IL-17RA， nuclear factor-κB activator 1 （Act1）， tumor necrosis factor-associated factor 6 （TRAF6）， p-p38 mitogen-activated protein kinase （p-p38 MAPK）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylation were detected by immunohistochemistry （IHC）. The protein expression levels of IL-17A， IL-17RA， Act1， and TRAF6 in the lung tissue were detected by Western blot. The mRNA expressions of IL-17A， IL-17RA， Act1， and TRAF6 in the lung tissue were detected by Real-time polymerase chain reaction （Real-time PCR）. ResultCompared with the blank group， the serum contents of IL-6， IL-8， IL-17， IL-1β， and TNF-α in the model group were significantly increased （P<0.05）， and the flow rate and volume indexes of pulmonary function in the model group were significantly decreased （P<0.05）， while the time indexes and other indexes were significantly increased （P<0.05）. The mRNA and protein expression levels of IL-17A， IL-17RA， Act1， and TRAF6 in pulmonary tissue and the positive expressions of downstream NF-κB p65， p-NF-κB p65， and p-p38 MAPK were increased （P<0.05）. Compared with the model group， the levels of IL-6， IL-8， IL-17， IL-1β， and TNF-α in the serum of all treatment groups were decreased to varying degrees （P<0.05）， and the indexes of pulmonary function were improved to different degrees （P<0.05）. The mRNA and protein levels of IL-17A， IL-17RA， Act1， and TRAF6 and the positive expression of downstream NF-κB p65， p-NF-κB p65， and p-p38 MAPK in high and medium-dose Xuanfei Zhisou prescription groups were significantly decreased （P<0.05）. ConclusionXuanfei Zhisou prescription can effectively resist inflammation of COPD rats. The mechanism may be related to down-regulating the protein expression of IL-17A， IL-17RA， Act1， and TRAF6， inhibiting downstream NF-κB and p38 MAPK signaling pathways， and reducing the release of IL-6， IL-8， TNF-α， IL-17， and IL-1β， thus reducing the airway inflammation response.

OBJECTIVETo study the effect of targeted Sox4 gene-knock-down on the growth of xenografts of Xuanwei female lung cancer cell line XWLC-05 cells in nude mice.

METHODSRecombinant plasmid pGFP-V-RS-Sox4 shRNA was constructed and transfected into XWLC-05 cells. Real-time quantitative PCR and Western blot were applied to confirm the effect of Sox4 gene-knock-down. XWLC-05 cells stably transfected with the plasmids were inoculated into nude mice to establish the xenograft model. The nude mouse status, tumor formation and tumor growth were observed, and the tumor inhibition rate was calculated. CT scan was performed to assess the metastasis of xenografts. Immunohistochemical staining was applied to detect Sox4 and ki-67 protein expression.

RESULTSRecombinant plasmid pGFP-V-RS-A-Sox4 shRNA which can effectively knocking-down Sox4 gene was successfully constructed and the stable transfected cells were selected by puromycin-screening. The success rate of tumor cell inoculation was 100% in the mice of all groups except those inoculated with saline. The body weight of all mice inoculated with parental XWLC-05 cells (blank control), pGFP-V-RS-scram shRNA trsfected XWLC-05 cells (negative control), and pGFP-V-RS-Sox4 shRNA transfected XWLC-05 cells was increased to a varying degree, but there was no significant difference among the groups (P > 0.05 ). The growth of xenografts was significantly inhibited after silencing the Sox4 gene expression when compared with that of the blank and negative controls (P < 0.05) . The volume of removed tumors of the Sox4 gene-inhibited mice was (2.30 ± 0.34) cm(3) , significantly smaller than that of the negative control (3.99 ± 0.45) cm(3) and the blank control (4.03 ± 0.42) cm(3) (P < 0.05) . The weight of removed tumors of Sox4 gene-inhibited mice was (0.86 ± 0.14) g, significantly lower than that of the negative control (1.84 ± 0.27) g and blank control (1.86 ± 0.22) g, (P < 0.05). Immunohistochemical staining showed that Sox4 and ki-67 proteins mainly expressed in cell nuclei. The staining was significantly decreased in xenografts of Sox4-inhibited mice when compared with the negative and blank controls (P < 0.05). No distant metastasis was found in any mouse by CT imaging and pathological examination during the observation period.

CONCLUSIONSThe xenograft model of Xuanwei female lung cancer cell line XWLC-05 cells in nude mice is successfully established. Knocking-down of Sox4 gene can suppress the xenograft tumor growth.

Animals ; Female ; Gene Knockdown Techniques ; Heterografts ; Humans ; Lung Neoplasms ; genetics ; pathology ; Mice ; Mice, Nude ; SOXC Transcription Factors ; metabolism

Objective To investigate the association between gallstones (GS) and metabolic syndrome (MS) in southern Xinjiang, China, and to provide experience for the prevention and control of metabolic diseases in southern Xinjiang. Methods The patients with GS who visited First Division Hospital, Second Division Korla Hospital, and Third Division Hospital of Xinjiang Production and Construction Corps from March 2015 to March 2019 were enrolled as case group, and cluster sampling was used to select the individuals who underwent physical examination in Third Division 51st Regiment Hospital during the same period of time were enrolled as control group. According to inclusion and exclusion criteria, 1140 cases were enrolled in each group after 1∶ 1 matching based on age and sex. The t -test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups; a logistic regression analysis was used to investigate the influencing factors for GS. Dummy variables were included by logistic regression to evaluate multiplicative interaction between MS components, and the parameter estimate and covariance matrix of the logistic regression model and interaction calculation table were used to calculate and evaluate additive interaction between MS components. Results The risk of GS in MS patients was 2.33 times that in non-MS patients (odds ratio [ OR ]=2.33, 95% confidence interval [ CI ]: 1.86-2.92). In addition, the components of MS also increased the risk of GS, including blood glucose ( OR =2.94, 95% CI : 2.36-3.68), blood pressure ( OR =1.50, 95% CI : 1.26-1.80), blood lipids ( OR =1.48, 95% CI : 1.25-1.75), and body mass index ( OR =1.44, 95% CI : 1.21-1.70). After adjustment for multiple factors, the risk of GS gradually increased with the increase in the number of metabolic abnormalities, i.e., one abnormality ( OR =1.55, 95% CI : 1.22-1.99), two abnormalities ( OR =2.13, 95% CI : 1.66-2.72), three abnormalities ( OR =3.48, 95% CI : 2.59-4.69), and four abnormalities ( OR =4.65, 95% CI : 2.79-7.84). No additive or multiplicative interaction was found between MS components. Conclusion GS is closely associated with MS in southern Xinjiang, and the risk of GS gradually increases with the increase in MS components. No additive or multiplicative interaction is found between GS and MS components.

Objective     To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods    The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results     A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion     The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.