Objective To investigate the inhibition mechanism of gallnut on biofilm formation by MRSA 41577.Methods TTC assay was used to detect inhibitory effects of biofilms formation and mature biofilms.The of PIA on biofilm formation was studied using Congo red agar method.Micro-Ultraviolet Spectrophotometer was used to detect inhibitory effects of the release of eDNA.The influence for Baicalein on icaA and cidA gene expression were detected by RT-PCR method.Results The inhibitory concentration (MIC) and minimum bactericidal concentration (MIC) of MRSA 41577 BF were 0.5 mg/mL and 1 mg/mL, respectively.The inhibitory effect of galla on MRSA 41577BF formation and mature BF was significantly inhibited.Inhibition of MRSA 41577,the MIC and MBC of mature BF were 4 mg/mL and 16 mg/mL.Congo red test results show that Galla can inhibit the synthesis of MRSA 41577 PIA, and the concentration was dose-dependent.The results showed that gallnut could inhibit the release of MRSA 41577 eDNA, and the release amount of eDNA was 3.61μg/OD595 and 11.91μg/OD595 , respectively, when the concentration of gall was 1/2MIC.The release of eDNA was reduced by 69.7% (P<0.01).The expression of icaA and cidA genes in the control group was 9.7% and 6.67%, respectively.The expression of icaA and cidA in the control group was significantly lower than that in the control group ( icaA and cidA, and cidA gene expression were 100%, the expression of icaA and cidA genes were reduced by 90.3%and 93.3%, respectively (P<0.01).Conclusion The inhibitory effect of gallnut on the biofilm of MRSA 41577 is mainly through inhibiting the expression of icaA and cidA genes, and then affecting the synthesis of PIA and the secretion of eDNA .

Objective:To compare the clinical efficacy and safety between spleen total resection splenectomy and spleen partial splenectomy in the treatment of patients with traumatic spleen rupture.Methods:84 cases of patients with traumatic spleen rupture from March 2013 to March 2016 were selected and divided into two groups.42 cases in the spleen total resection group were treated with spleen total resection,while the other 42 cases in the spleen partial nephrectomy group were treated with spleen partial splenectomy.The operative effect,the levels of platelet count,serum IgA,IgG,IgM,CD3 +,CD4 +,CD8 +,CD4 + / CD8 + levels before and after treatment,the incidence of complications were compared between two groups.Results:The intraoperative blood loss,exhaust time,length of hospital stay of spleen partial nephrectomy group were shorter than those of the spleen total resection group,but the operation time of research group was longer than that of the spleen total resection group (P＜0.05).The platelet count,CD8+ of spleen partial nephrectomy group were lower than those of the spleen total resection group (P＜0.05).The IgA,IgG,IgM,CD3+,CD4+,CD8+,CD4+/CD8+ of spleen partial nephrectomy group were significantly higher than those of the spleen total resection group (P＜0.05).The incidence rate of complications in the spleen partial nephrectomy group was lower than that of the spleen total resection group (P＜0.05).Conclusion:Spleen partial splenectomy was more effective than spleen total resection in the treatment of traumatic splenic rupture,which had little effect on the platelet and immune function.

Objective To investigate the effect of 620 nm red light on chondrogenic differentiation in rat precartilaginous stem cells (PSCs). Methods Rats' PSCs were isolated and purified using magnetically activated cell sorting and cultured in vitro.The PSCs were exposed once to 620 nm wavelength red light from a light-emitting diode (LED) with an irradiation energy of 0.5 J/cm2,1 J/cm2,2 J/cm2 or 4 J/cm2.Any effect was confirmed by Alcian blue staining,immunohistochemistry and observing histomorphological changes under a light microscope,as well as detection using a reverse transcription polymerase chain reaction (RT-PCR). Results After being induced for 14 d,the PSCs exhibited polygonal and round shapes. Alcian blue and type Ⅱ collagen immunohistoehemistry staining showed positive results,but the control group had no significant change.RT-PCR showed that the mRNA expression of Sox9 and type Ⅱ collagen increased significantly compared with the control group. Conclusion Low energy 620 nm red light can enhance chondrogenic differentiation in PSCs significantly.

Objective To investigate the curative effects of damage control surgery in treatment of borderline severe multiple fractures.Methods The study involved 37 patients with severe multiple fractures(ISS of 16-42,Pape classification of borderline type)surgically treated from January 2009 to June 2010.All patients underwent staged surgeries according to damage control principles:hemostasis,debridement and provisional fixation were given in the first stage;antishock,anti-coagulation dysfunction,anti-hypothermy,anti-infection were performed in the second stage;definitive operations for fractures were performed as soon as possible in the third stage,provided that their physiological condition was permitted.Results All the patients received effective treatments such as debridement,provisional fixation and antishock in the first and second stages,with no iatrogenic secondary injury.The patients had significant recovery in the 6-14 months of follow-up,with total disability rate of 16％.Conclusion The staged operations according to damage control principles are effective and safe in treatment of borderline severe multiple fractures.

Objective:To compare the effectiveness and recurrence rate of different types of mesh or without mesh in laparoscopic hiatal hernia repair.Methods:From Jan 2016 to Mar 2022 at the three hospital 90 patients with hiatal hernia, including 26 cases without mesh, 29 cases using synthetic mesh, and 35 cases using biological mesh underwent laparoscopic hiatal hernia repair.Results:The surgical procedures was successful in all the 90 cases without conversion to open surgeny. There were no statistically significant differences in operative time, intraoperative blood loss and postoperative hospital stay among the three groups ( P>0.05), and there were statistically significant differences in hospital cost between the group without mesh and synthetic mesh and biological mesh ( P<0.05). Long-term follow-up was achieved in 87 patients, with a follow-up rate of 96.7% (87/90), and a median follow-up time of 44 months. There were no significant differences in the incidence of postoperative complications (diarrhea, dysphagia, abdominal distension, chest pain), recurrence rate of symptoms (acid reflux, heartburn) and patient satisfaction among the three groups ( P>0.05). Conclusion:In laparoscopic hiatal hernia repair, the mesh should be carefully selected according to the specific intraoperative situation for a satisfactory clinical efficacy.

Tumors are serious diseases threatening human health,and the early diagnosis is essential to improve treatment success and patient survival.The study of tumor gene expression data has become a major tool for revealing tumor disease mechanisms,in which artificial intelligence plays an important role.The potential advantages of supervised learning,unsupervised learning and deep learning in tumor prediction and classification are explored from the perspective of machine learning methods.Special attention is paid to the impact of feature selection algorithms on gene screening and their importance in high-dimensional gene expression data.By providing a comprehensive overview of the application and development of artificial intelligence in the analysis of tumor gene expression data,the study aims to provide an outlook for future research directions and promote further development.

Objective To verify the genetic characteristics associated with gastric cancer,and to propose a hybrid feature selection method for identifying target genes,further analyzing their significance and establishing a new diagnostic prediction model.Methods Analysis of variance in bioinformatics was performed on the original gastric cancer data,and then machine learning methods such as random forest,recursive feature elimination of support vector machine,and LASSO algorithm were used to screen gastric cancer associated genes,and the intersection of results was taken as the key gene set.The key genes were identified and verified through enrichment analysis.The diagnosis and prediction models based on 8 kinds of machine learning classification algorithms such as multi-layer perceptron,logistic regression and decision tree,were constructed using the key genes.Results The key genes selected by the hybrid feature selection method were closely related to the tumorigenesis and development.Eight key genes(TXNDC5,BMP8A,ONECUT2,COL10A1,JCHAIN,INHBA,LCTL and TRIM59)were identified as potential markers of good diagnostic efficacy in gastric cancer.The ROC curve and accuracy results demonstrated that among the 8 classification models,MLP is the best gastric cancer prediction model,with an accuracy of 97.77%,which was 3.83%higher than that of Xgboost gastric cancer prediction model.Conclusion The study identifies 8 key genes for the diagnosis and prevention of gastric cancer,and establishes the optimal prognosis model.

Objective To set up a living mice colonoscopy platform to establish an orthotopic model of colorectal cancer in mice under direct vision,and to observe its biological behavior such as metastasis.Methods Eighteen-week-old male C57/BL mice were anesthetized,and the intestinal lumen of the mice was examined by a self-developed living mice colonoscopy and Olympus URF-P5 ureteroscopy,respectively.The imaging effects of the two methods were compared.Human colon cancer HT-29 cells were injected into the colonic mucosa of BALB/c-nu mice under direct vision.The colonoscopy was performed on the 3rd,7th and 15th day after the injection to observe the tumor formation in the intestinal lumen.The mice were sacrificed when the body weight decreased significantly or cachexia appeared,and then the abdominal cavity was examined including the tumor formation and metastasis.Results The self-developed living mice colonoscopy platform can provide clear vision of enteric cavity,and no mice died in the colonoscopy examination.In vivo subcutaneous injection of HT-29 cells in mice was performed with a perforation rate of 15％,a mortality rate of 33.3％,a tumor formation rate of 62.5％,an abdominal metastasis rate of 60％,a liver metastasis rate of 25％,and an abdominal wall transfer rate of 25％.Conclusion The self-developed mice colonoscopy platform can be used for the study of colorectum in living mice.The imaging effect is no less than that of Olympus URF-P5 ureteroscopy.In addition,an orthotopic colorectal cancer model can be established by this platform combing with submucosal injection technology.

OBJECTIVE: To propose a framework that combines sinogram interpolation with unsupervised image-to-image translation (UNIT) network to correct metal artifacts in CT images. METHODS: The initially corrected CT image and the prior image without artifacts, which were considered as different elements in two different domains, were input into the image transformation network to obtain the corrected image. Verification experiments were carried out to assess the effectiveness of the proposed method using the simulation data, and PSNR and SSIM were calculated for quantitative evaluation of the performance of the method. RESULTS: The experiment using the simulation data showed that the proposed method achieved better results for improving image quality as compared with other methods, and the corrected images preserved more details and structures. Compared with ADN algorithm, the proposed algorithm improved the PSNR and SSIM by 2.4449 and 0.0023 when the metal was small, by 5.9942 and 8.8388 for images with large metals, and by 8.8388 and 0.0130 when both small and large metals were present, respectively. CONCLUSION The proposed method for metal artifact correction can effectively remove metal artifacts, improve image quality, and preserve more details and structures on CT images.
Artifacts ; Algorithms ; Computer Simulation ; Tomography, X-Ray Computed

Scopoletin is a coumarin compound with various biological activities including detumescence and analgesic, insecticidal, antibacterial and acaricidal effects. However, interference with scopolin and other components often leads to difficulties in purification of scopoletin with low extraction rates from plant resource. In this paper, heterologous expression of the gene encoding β-glucosidase An-bgl3 derived from Aspergillus niger were carried out. The expression product was purified and characterized with further structure-activity relationship between it and β-glucosidase analyzed. Subsequently, its ability for transforming scopolin from plant extract was studied. The results showed that the specific activity of the purified β-glucosidase An-bgl3 was 15.22 IU/mg, the apparent molecular weight was about 120 kDa. The optimum reaction temperature and pH were 55 ℃ and 4.0, respectively. Moreover, 10 mmol/L metal ions Fe²⁺ and Mn²⁺ increased the enzyme activity by 1.74-fold and 1.20-fold, respectively. A 10 mmol/L solution containing Tween-20, Tween-80 and Triton X-100 all inhibited the enzyme activity by 30%. The enzyme showed affinity towards scopolin and tolerated 10% methanol and 10% ethanol solution, respectively. The enzyme specifically hydrolyzed scopolin into scopoletin from the extract of Erycibe obtusifolia Benth with a 47.8% increase of scopoletin. This demonstrated that the β-glucosidase An-bgl3 from A. niger shows specificity on scopolin with good activities, thus providing an alternative method for increasing the extraction efficiency of scopoletin from plant material.
Aspergillus niger/genetics* ; beta-Glucosidase/chemistry* ; Scopoletin ; Polysorbates ; Coumarins