Acanthamoeba castellanii(T4)was cultured with different concentrations of allitridium for 24 hours, and examined by transmission electron microscope. The results showed that the ultrastructure of Acanthamoeba trophozoites was destroyed gently at concentration of 50 ?g/ml allitridium and seriously destroyed under the concentration of 500 ?g/ml, indicating that allitridium is effective in destroying Acanthamoeba.

Objective To perform the ligand-based computer-aided drug design and construct the pharmacophore model of(1,3)-β-D-Glucan Synthase(GS)small molecule inhibitors.Method Six small molecules with diverse structures and good inhibitory activity were selected to construct the training set.The HipHop algorithm in Catalyst pharmacophore generation module was utilized to construct the pharmacophore models.The pharmacophore models were evaluated by constructed Decoy-set 3D database.Results Pharmacophore 02 has a good enrichment factor,sensitivity and specificity parameters.Pharmacoph-ore model validation with Decoyset 3D database proved that the model has good distinguishing capability.Conclusion The pharmacophore model of GS small molecule inhibitors was constructed and tested.It will provide valuable information for de-sign and discovery of novel small molecule GS inhibitors.

BACKGROUND: There is no consensus on one or two chest drains closed chest drainage in superior lobectomy of lung cancer and mediastinal lymph node dissection. This study investigated the postoperative complications about drainage and evaluated the effectiveness. METHODS: We retrospectively reviewed the clinical data of patients with single closed chest drainage in superior lobectomy of lung cancer and mediastinal lymph node dissection of Beijing Friendship Hospital between April 2012 and May 2017, and evaluated the effectiveness. RESULTS: From the available data of 301 patients, the complication rate after superior lobectomy was 9.3%, and the complication rate of drainage after superior lobectomy was 5.64%. CONCLUSIONS The effectiveness of drainage of single closed chest drainage in superior lobectomy of lung cancer and mediastinal lymph node dissection is no less than double drainage.
Drainage ; Female ; Humans ; Lung Neoplasms ; surgery ; Male ; Middle Aged ; Pneumonectomy ; Retrospective Studies ; Thorax ; Treatment Outcome

BACKGROUND: Preoperative diagnosis and differential diagnosis of small solid pulmonary nodules are very difficult. Computed tomography (CT), as a common method for lung cancer screening, is widely used in clinical practice. The aim of this study was to analyze the clinical data of patients with malignant pulmonary nodules and intrapulmonary lymph nodes in the clinical diagnosis and treatment of <1 cm solid pulmonary nodules, so as to provide reference for the differentiation of the two. METHODS: Patients with solid pulmonary nodules who underwent surgery from June 2017 to June 2020 were analyzed retrospectively. The clinical data of 145 nodules (lung adenocarcinoma 60, lung carcinoid 2, malignant mesothelioma 1, sarcomatoid carcinoma 1, lymph node 81) were collected and finally divided into two groups: lung adenocarcinoma and intrapulmonary lymph nodes, and their clinical data were statistically analyzed. According to the results of univariate analysis (χ² test, t test), the variables with statistical differences were selected and included in Logistic regression multivariate analysis. The predictive variables were determined and the receiver operating characteristic (ROC) curve was drawn to get the area under the curve (AUC) value of the area under the curve. RESULTS: Logistic regression analysis showed that the longest diameter, Max CT value, lobulation sign and spiculation sign were important indicators for distinguishing lung adenocarcinoma from intrapulmonary lymph nodes, and the risk ratios were 106.645 (95%CI: 3.828-2,971.220, P<0.01), 0.980 (95%CI: 0.969-0.991, P<0.01), 3.550 (95%CI: 1.299-9.701, P=0.01), 3.618 (95%CI: 1.288-10.163, P=0.02). According to the results of Logistic regression analysis, the prediction model is determined, the ROC curve is drawn, and the AUC value under the curve is calculated to be 0.877 (95%CI: 0.821-0.933, P<0.01). CONCLUSIONS For <1 cm solid pulmonary nodules, among many factors, the longest diameter, Max CT value, lobulation sign and spiculation sign are more important in distinguishing malignant pulmonary nodules from intrapulmonary lymph nodes.