Objective To investigate the inhibitory effect of silencing survivin gene with siRNA on the growth of gastric cancer cells and its mechanism,and provide evidence in treatment for gastric cancer.Methods DNA template coding survivinspecific siRNA was designed and synthesized.Two recombinant plasmids (pGCsilencerU6/GFP/survivin-siRNA-1 and-2) were constructed.The gastric carcinoma cel1 line SGC-7901 were divided into three groups: liposome-treated control group,empty plasmid-transfected control group and survivin-siRNA-1 transfected group.In order to observe the effect of survivin-siRNA,the expressions of survivin mRNA and protein were detected by RT-PCR and Western blotting,respectively.Methyl thiazolyl tetrazolium(MTT) assay was applied to determine the cell growth status.Apoptotic rates were evaluated by flow cytometry(FCM).Results The results of Western blotting and RT-PCR indicated that the inhibitory rates of protein and mRNA in pGCsilenerU6/GFP/survivin-siRNA-1 transfected group(78.25% and 88.75%) were higher than those in liposome-treated control group(5% and 2%) and empty plasmid-transfected control group(1% and 6%)(P

Objective To study the diagnostic value of MRCP in cholangiocarcinoma.Methods MRCP in 39 patients with cholangiocarcinoma comfirmed by surgery and pathology were performed on a GE 1.5T superconductive MR imaging unit before operations.Results MRCP imagings with diagnostic value were obtained in 39 cases,MRCP accurately showed the obstructive positions confirmed by surgery and pathology in all cases (100%).The qualitative rate of cholangiocarcinoma was 97%(38/39).Conclusion MRCP can not only accurately show the position of cholangiocarcinoma but also make accuracy diagnosis.

In this paper, a new method of contour analysis is presented to find path in endoscopy navigation. At first, edge detection is used to endoscope image. Then we do skeleton extraction and connect the edge skeleton to contours by grouping criteria. At last we can get navigation information by analyzing the contours. Experiments show that this algorithm has good precision and stability.
Algorithms ; Diagnosis, Computer-Assisted ; Endoscopy ; methods ; Gastroscopy ; Humans ; Image Enhancement ; methods ; Image Processing, Computer-Assisted

Primary seminal vesicle adenocarcinoma is a rare malignant tumor of reproductive system. A 21-year-old patient with primary seminal vesicle adenocarcinoma was treated in our hospital in August 2014. Without surgical treatment, the patient survived for 4.5 years after 6 cycles of chemotherapy and pelvic radiotherapy. Local recurrence was found in February 2019 and laparoscopic radical prostatectomy was performed. There was no local recurrence and metastasis after follow-up for 10 months.

Objective:To automatically segment four body components at the T4 thoracic veertebra plane on chest CT in the newly diagnosed multiple myeloma(MM)patients by deep learning model,and to discuss the correlation between the four body components and the prognosis of the MM patients.Methods:The retrospective analysis was conducted on the clinical data of the MM patients diagnosed in our hospital from January 2017 to December 2021.The clinical informations such as age,gender,weight,height,and body mass index(BMI)of the patients were collected.The laboratory data of the patients were collected,including serum levels of lactate dehydrogenase(LDH),calcium(Ca),creatinine(Scr),albumin(Alb),hemoglobin(Hb),β2-microglobulin(β2-MG),and serum free light chains.The chest CT images of 79 regularly evaluated MM patients detected by deep learning model were divide into four body components:pectoralis major,pectoralis minor,subcutaneous fat,and mediastinal fat.Image J software was used to detect the areas of the four body components at the T4 thoracic vertebra plane,and their correlation with the prognosis of the MM patients was analyzed by Kaplan-Meier survival analysis.Results:The univariate analysis results showed that the area of subcutaneous fat,serum Ca levels,Scr levels,and International Staging System(ISS)stage were related to the overall survival(OS)of the MM patients(HR=2.260,95％CI:1.116-4.578,P=0.024;HR=2.088,95％CI:1.007-4.327,P=0.048;HR=2.209,95％CI:1.105-4.414,P=0.025;HR=1.730,95％CI:1.040-2.879,P=0.035).The multivariate analysis results showed that the area of subcutaneous fat among the four body components was an independent risk factor affecting the prognosis of the MM patients(95％CI:1.228-5.782,P=0.013).The Log-Rank test results showed that compared with high subcutaneous fat area group,the OS of the patients in low subcutaneous fat area group was decreased(P=0.018).There was no significant difference in OS of the patients with different genders between high subcutaneous fat area group and low subcutaneous fat area group(P＞0.05).In the patients without hematopoietic stem cell transplantation,compared with high subcutaneous fat area group,the OS of the patients in low subcutaneous fat area group was decreased(P=0.037).Conclusion:Among the four body components at the T4 thoracic vertebra plane,the area of subcutaneous fat is related to the OS of the MM patients and it is an independent risk factor for the prognosis of the MM patients,while the areas of mediastinal fat,pectoralis major,and pectoralis minor have no predictive value for the prognosis of the MM patients.

Objective:To investigate the effects and mechanism of cannabinoid (CBD) on the anxiety- and depression-like behaviors induced by lipopolysaccharide (LPS) in mice.Methods:C57BL/6J mice were intraperitoneally injected with LPS to establish the model of neuroinflammation. CBD was injected intraperitoneally 24 h after modeling. Behavioral tests were performed to evaluate the anxiety- and depression-like behaviors in mice. CBD-pretreated BV-2 microglia cells were stimulated with LPS in vitro. The levels of tumor necrosis factor α (TNF-α), interleukin-1β (IL-1β) and CD86 in mouse cerebral cortex, hippocampus, prefrontal cortex and BV-2 cells were measured by qRT-PCR. The protein level of nuclear factor (NF-κB) in mouse brain and BV-2 cells was determined by Western blot. Results:CBD significantly increased the residence time and movement distance of LPS-treated mice in the central area in the open filed test (OFT), and reduced the immobility time in tail suspension test (TST) and force swimming test (FST). In addition, CBD alleviated the neuroinflammation and inhibited the activation of microglia in mouse brain. In vitro, CBD significantly inhibited the activation of BV-2 microglia cells. Both in vivo and in vitro experiments confirmed that CBD could inhibit NF-κB expression. Conclusions:LPS could induce the activation of BV-2 microglia cells and the expression of inflammatory factors in mouse brain accompanied with abnormal behaviors. CBD could inhibit the activation of microglia, alleviate the neuroinflammation in different regions of mouse brain and improve behavioral performance.

EEG recordings contain valuable physiological and pathological information in the process of seizure. The dynamic changes of brain electrical activity provide foundation and possibility for research and development of automatic detection system about epilepsy. In this paper, a nonlinear dynamic method is presented for analysis of the nonlinear dynamic characteristics of EEGs and delta, theta, alpha, and beta sub-bands of EEGs based on wavelet transform. The extracted feature is used as the input vector of a support vector machine (SVM) to construct classifiers. The results showed that the classification accuracy of SVM classifier based on nonlinear dynamic characteristics to classify the EEG into interictal EEGs and ictal EEGs reached 90% or higher. The support vector machine has good generalization in detecting the epilepsy EEG signals as a nonlinear classifier.
Algorithms ; Artifacts ; Electroencephalography ; methods ; Epilepsy ; diagnosis ; physiopathology ; Humans ; Nonlinear Dynamics ; Signal Processing, Computer-Assisted ; Support Vector Machine