ObjectiveTo summarize the differences between Budd-Chiari syndrome (BCS) and hepatic veno-occlusive disease (HVOD). MethodsBased on the current reports about BCS and HVOD, combined with the authors' clinical experience, a review was performed for the 2 kinds of diseases. ResultsBCS and HVOD were both post-hepatic portal hypertension symptoms, and both would result in liver cirrhosis in the late phase. According to the different causes of 2 kinds of diseases clinically, and the corresponding clinical characteristics, most cases can be confirmed by the preliminary judgment. As for the cases without clear diagnosis, corresponding imaging examinations may be helpful, but the final diagnosis depended on the pathologic examination after liver biopsy. ConclusionThere are some differences on the cause, clinical characteristic, and characteristic of images between the BCS and HVOD, that all of them contribute to differential diagnosis.
Objective To investigate the effect of monocyte chemoattractant protein 1 (MCP-1) on the migration of the induced and differentiated mouse bone marrow mesenchymal stem cells (BMSCs) for raising the efficacy of intravenous transplantation of BMSCs. Methods The BMSCs were cultured with the method of differential adhesion and density gradient centrifugation of C57/BL10 mice, and were identified by alkal ine phosphatase Gomori modified staining after osteogenic inducing. At the 3rd passage, the BMSCs were induced to the myoblasts with 5-azacytidine (5-Aza). The chemotaxis of MCP-1 in the induced and differentiated BMSCs in vitro at concentrations of 25, 50, 100, 200, and 400 ng/mL was observed through the migration test, by counting the number of the migrated cells. The expression of the chemokine receptor 2 (CKR-2) in the induced and differentiated BMSCs was detected with the flow cytometry. Results The cells could be cultured with the methods of differential adhesion and density gradient centrifugation and still had higher prol iferative and differentiative potency; the induced cells at the 3rd passage could differenciate to the osteoblasts, confirming that the cells were BMSCs; the myogenic induced BMSCs possesed the sarcotubule structure. The number of the migrating BMSCs at MCP-1 concentrations of 25-400 ng/ mL were respectively 35.066 7 ± 6.584 2, 43.200 0 ± 6.460 8, 44.466 7 ± 4.823 5, 45.600 0 ± 8.650 3, and 50.733 3 ± 7.582 5; showing significant difference when compared with control group (28.333 3 ± 8.917 6, P lt; 0.05), and presenting significant difference among 25, 50, 400 ng/mL groups compared with each other (P lt; 0.05). The expression of CKR-2 in the mouse BMSCs (48.0%) was significantly higher (P lt; 0.001) than those of blank control (0.6%) and negative control (17.0%). Conclusion The results indicate that the MCP-1 can induce the migration of mouse BMSCs by MCP-1/CKR-2 pathway.
ObjectiveTo explore value of ultrasound real-time elastography (RTE) technology for identification of benign and malignant solid thyroid nodules.MethodsA retrospective analysis was performed on 125 patients with thyroid nodules who underwent ultrasound RTE in this hospital from February 2018 to August 2019. All patients underwent RTE on the basis of conventional ultrasound. The ultrasound elasticity contrast index (ECI) was used as the evaluation index and the pathological examination result was used as the gold standard. The receiver operating characteristic (ROC) curve analysis was used to evaluate the value of ECI in the identification of benign and malignant solid thyroid nodules. Logistic regression analysis was used to analyze the influencing factors of ECI.ResultsAmong the 125 patients with solid thyroid nodules, 51 were malignant nodules, 74 were benign nodules. The ECI value of patients with benign thyroid nodules was lower than that of patients with malignant nodules (2.71±0.83 versus 3.42±1.14, t=–4.030, P<0.001). The result of ROC analysis showed that the cutoff value of ECI to distinguish benign and malignant solid thyroid nodules was 3.07, area under curve of ROC was 0.806 [95%CI (0.717, 0.894), P<0.001], sensitivity was 80.3%, specificity was 70.4%. The multivariate logistic regression analysis showed that the thyroid nodules with diffuse lesions, calcification, and maximum nodule diameter ≥1 cm were the risk factors for elevated ECI values (P<0.05). For the solid thyroid nodules without diffuse lesions, without calcification, and maximum nodule diameter <1 cm, ECI had the higher sensitivity, specificity, accuracy, and positive predictive value for the differential diagnosis of benign and malignant thyroid nodules (all exceed 80%), but these indexes were lower (under 60%) for the differential diagnosis of solid thyroid nodules with diffuse diseases, with calcification, and maximum nodule diameter ≥1 cm.ConclusionsECI obtained by ultrasound RTE can be used to differentiate solid thyroid nodules from benign ones. The presence or absence of diffuse lesions, calcification, and maximum nodule diameter are the influencing factors for ECI to differentiate solid thyroid nodules. In clinical diagnosis, it should be paid attention to the comprehensive analysis of the above factors.
Multi-layer perceptron (MLP) neural network belongs to multi-layer feedforward neural network, and has the ability and characteristics of high intelligence. It can realize the complex nonlinear mapping by its own learning through the network. Bipolar disorder is a serious mental illness with high recurrence rate, high self-harm rate and high suicide rate. Most of the onset of the bipolar disorder starts with depressive episode, which can be easily misdiagnosed as unipolar depression and lead to a delayed treatment so as to influence the prognosis. The early identification of bipolar disorder is of great importance for patients with bipolar disorder. Due to the fact that the process of early identification of bipolar disorder is nonlinear, we in this paper discuss the MLP neural network application in early identification of bipolar disorder. This study covered 250 cases, including 143 cases with recurrent depression and 107 cases with bipolar disorder, and clinical features were statistically analyzed between the two groups. A total of 42 variables with significant differences were screened as the input variables of the neural network. Part of the samples were randomly selected as the learning sample, and the other as the test sample. By choosing different neural network structures, all results of the identification of bipolar disorder were relatively good, which showed that MLP neural network could be used in the early identification of bipolar disorder.
Objective To identify glial cell line-derived neurotrophic factor (GDNF) recombinant retroviral vector and to establish its packaging cell line PA317. Methods PA317 cells were transfected with recombinant retroviral vector pLXSN-GDNF using liposomes. The recombinant retroviral particles were then harvested from culture media of G418 resistant transfected cells and analyzed using RT-PCR. Virus titers in supernatants were investigated. Results Sequencing date indicated that GDNF gene was exactly identical to the sequence in the GeneBank. PA317 cells were transfected with recombinant retroviral vector pLXSN-GDNF using liposomes, and virus titers insupernatants harvested from culture media of G418 resistant transfected cells were 104-105 CFU/ml. Conclusion Packaging cell line PA317/pLXSN-GDNF was established.
Lung cancers are highly heterogeneous and resistant to available therapeutic agents, with a five-year survival rate of less than 15%. Despite significant advances in our knowledge of the genetic alterations and aberrations in lung cancer, it has been difficult to determine the basis of lung cancer's heterogeneity and drug resistance. Cancer stem cell model has attracted a significant amount of attention in recent years as a viable explanation for the heterogeneity, drug resistance, dormancy, recurrence and metastasis of various tumors. At the same time, cancer stem cells have been relatively less characterized in lung cancers. This review summarizes the current understanding of lung cancer stem cells, including their molecular features and signaling pathways that drive their stemness. This review also discusses the prognosis of lung cancer and its relationship with lung cancer stem cell, in an effort to eradicate these cells to combat lung cancer.
Real-time free breathing cardiac cine imaging is a reproducible method with shorter acquisition time and without breath-hold for cardiac magnetic resonance imaging. However, the detection of end-diastole and end-systole frames of real-time free breathing cardiac cine imaging for left ventricle function analysis is commonly completed by visual identification, which is time-consuming and laborious. In order to save processing time, we propose a method for semi-automatic identification of end-diastole and end-systole frames. The method fits respiratory motion signal and acquires the expiration phase, end-diastole and end-systole frames by cross correlation coefficient. The procedure successfully worked on ten healthy volunteers and validated by the analysis of left ventricle function compared to the standard breath-hold steady-state free precession cardiac cine imaging without any significant statistical differences. The results demonstrated that the present method could correctly detect end-diastole and end-systole frames. In the future, this technique may be used for rapid left ventricle function analysis in clinic.
Acute respiratory distress syndrome (ARDS) is a serious threat to human life and health disease, with acute onset and high mortality. The current diagnosis of the disease depends on blood gas analysis results, while calculating the oxygenation index. However, blood gas analysis is an invasive operation, and can’t continuously monitor the development of the disease. In response to the above problems, in this study, we proposed a new algorithm for identifying the severity of ARDS disease. Based on a variety of non-invasive physiological parameters of patients, combined with feature selection techniques, this paper sorts the importance of various physiological parameters. The cross-validation technique was used to evaluate the identification performance. The classification results of four supervised learning algorithms using neural network, logistic regression, AdaBoost and Bagging were compared under different feature subsets. The optimal feature subset and classification algorithm are comprehensively selected by the sensitivity, specificity, accuracy and area under curve (AUC) of different algorithms under different feature subsets. We use four supervised learning algorithms to distinguish the severity of ARDS (P/F ≤ 300). The performance of the algorithm is evaluated according to AUC. When AdaBoost uses 20 features, AUC = 0.832 1, the accuracy is 74.82%, and the optimal AUC is obtained. The performance of the algorithm is evaluated according to the number of features. When using 2 features, Bagging has AUC = 0.819 4 and the accuracy is 73.01%. Compared with traditional methods, this method has the advantage of continuously monitoring the development of patients with ARDS and providing medical staff with auxiliary diagnosis suggestions.
Objective To establish a simple and efficient method to isolate and culture the umbilical vein vascular endothelial cells in canine. Methods Twelve umbilical cords [(13.0 ± 1.5) cm in length] were taken from 12 newborn pups of Beagles. And then the vascular endothelial cells were isolated from these umbilical cords digested by 1% collagenase type I for 5, 7, and 10 minutes respectively (4 umbilical cords in each group). After cultured, the vascular endothelial cells were identified by morphology, immunofluorescence, and flow cytometry. And the growth curvature of umbilical vein vascular endothelial cells was detected by MTT assay. Results Few vascular endothelial cells were collected at 5 and 10 minutes after digestion; many vascular endothelial cells were seen at 7 minutes, and became cobblestone with culture time, with a large nucleus; after passage, cell morphology had no obvious change. Fluorescence microscope results showed that positive von Willebrand factor (vWF) and CD31 cells were observed in most of cells. The flow cytometry test displayed that the positive cell rates of vWF and CD31 were 99.0% ± 0.7% and 98.0% ± 1.2%, respectively. The above results indicated that cultured cells were vascular endothelial cells. MTT assay showed that vascular endothelial cells proliferation increased significantly with culture time. Conclusion Enzyme digestion is a convenient method to isolate vascular endothelial cells from canine umbilical vein, and a large number of cells and high purity of cells can be obtained by the method.
ObjectiveTo explore the methods of separation, culture, and identification of breast cancer stromal fibroblasts (BCSFs), which could build up a good basis for the further research of function. MethodsBreast cancer tissues were obtained during breast cancer operation, and were cut into pieces with size of 1 mm×1 mm×1 mm under aseptic conditions, then the pieces of the tissues were digested by collagenase Ⅰ and hyaluronidase. Finally the cells separated from the tissues incubated at 37 ℃ with 5% CO2 and 95% air humidified incubator. Morphological characteristics of the fibroblasts were observed under light microscope. The certain proteins were examined by immunohistochemistry (using CK, Vimentin, α-SMA, and TE-7 antibody) and flow cytometric analysis (CD34 and CD45). ResultsThe separated cells begin to attach to the wall of flask within 24 h and reached almost confluency in about 7 d to 10 d . According to identification, the successful rate of separation and culture of BCSFs was 90%(18/20), and the characteristics of cells showed that morphological characteristics of the fibroblasts was flat spindle, rich cytoplasm, and a flat ovoid cystic nuclear. The fibroblasts in breast cancer tissues showed negative staining for cytokeratin, positive staining for vimentin, alpha-smooth muscle actin, and TE-7, and negative for CD34 and CD45 by flow cytometric analysis. ConclusionsThe fibroblasts in breast cancer tissues could be easily obtained by tissues cuting combined enzyme digestion and rocking technology in vitro. The present study provide an experimental foundation for further studies on fibroblasts in breast cancer.