OBJECTIVE:To analyze the effects of environmental factors (soil,climate,etc.) on the quality of Radix Polygalae.METHODS:The contents of polygalic acid were determined by HPLC.Climate factors including altitude,average annual temperature,average temperature of July,annual precipitation,annual sunshine hours and non-frost days were collected through on-site inspection or from the local meteorological data. Water content,pH and nutritional elements of the soils were determined by routine method,and the reletionship between the content of polygalic acid and the factors were analyzed.RESULTS:There was linear relationship between the content of polygalic acid and climate factors such as average temperature of July,annual precipitation,annual sunshine hours and non-frost days.There was also linear relationship between polygalic acid and soil factors such as total nitrogen,total phosphor,available phosphor,available kalium,organic matters and water content. CONCLUSION:The main climate factors that affect polygalic acid content were annual sunshine hours and non-frost days,while the main soil factors affecting the content of polygalic acid were the content of available phosphor and soil water content.

Objective To evaluate the effect and safety of pseudomonas aeruginosa injection (PA-MSHA) combined with ulinastatin (UTI) injection in the treatment of patients with malignant pleural effusion and/or ascites.Methods 52 patients were randomly divided into PA-MSHA group and PA-MSHA combined with UTI group,each group including 26 patients.All patients were given ultrasonic testing before treatment.The single drug group was given PA-MSHA 10 ml intrapleural and/or intraperitoneal injection.The two-drug combination group was given PA-MSHA 10ml and UTI 300 000 U,twice per week.Evaluation of the efficacy and adverse reaction was performed after 4 times.Results The effective rate of single PA-MSHA group was 34.6 ％ (CR 1 case,PR 8 cases),while the effective rate of PA-MSHA combined with UTI group was 61.5 ％ (CR 2 cases,PR 14 cases).The effective rate of PA-MSHA combined with UTI group was statistically higher than that of single PA-MSHA group (P ＜ 0.05).8 cases got fever in single PA-MSHA group,3 cases in PA-MSHA combined with UTI group got fever,side effect had no statistical significance (P ＞ 0.05).Conclusion PA-MSHA combined with UTI has better effect in the treatment of patients with malignant pleural effusion and/or ascites compared with single PA-MSHA,and both treatments have low side effects.

This study was aimed to prepare the spraying agent of prescriptions of Miao nationality herb and investigate the effect of Miao nationality herbs spray for serum SOD, MDA, and expression of Fas and Caspase-3 mRNA in lung tissues of silica-treated rats. The healthy SD rats were divided into 5 groups. Silica dust suspension was used in the model establishment of 4 groups. After the model was successfully established, 3 groups were randomly selected and given glucocorticoids atomization inhalation, Miao nationality herbs spray, Miao nationality herbs spray combined with intragastric administration of herbal medicine, respectively. After 40-day treatment, water-solubletetrazolium salt (WST-1) was used in the detection of serum superoxide dismutase (SOD). Thiobarbituric acid (TBA) was used in the detection of malondialdehyde (MDA). The mRNA expression variance of the Fas and Caspase-3 were detected by RT-PCR. The results showed that compared with the silica dust suspension group, the SOD activity of serum in the Miao nationality herbs spray group was significantly increased (P< 0.05). MDA content and the mRNA of Fas and Caspase-3 were significantly lower in the Miao nationality herbs spray group (P< 0.05). It was concluded that Miao nationality herbs spray group was able to increase the SOD activity of serum, decrease MDA content, and obviously decrease the expression of Fas and Caspase-3 of lung tissues among silica dust suspension rats.

Objective To discuss the value of dual-input perfusion of 320 row CT on the efficacy evaluation of small cell lung cancer (SCLC).Methods A total of 18 patients with SCLC confirmed by pathology who received cisplatin plus etoposide chemotherapy between June 2016 and June 2018 in the 8th Medical Center of Chinese PLA General Hospital were collected.All patients received 320 row CT perfusion scan at 3 time points before chemotherapy,after 2 cycles and 4 cycles of chemotherapy.Tumor size,perfusion pseudo color map and bronchial arterial blood flow (BF),pulmonary flow (PF) and perfusion index (PI) were obtained.The efficacy and adverse reactions were evaluated.The single factor analysis was used to make the group comparison.Pearson test was used to make correlation analysis.Results Two patients after 2 cycles of chemotherapy had complete remission (CR),another 2 patients after 4 cycles of chemotherapy had CR,and 3 patients of the above 4 cases with CR had abundant BF;after 4 cycles of chemotherapy,7 cases had partial remission (PR),6 cases had stable disease (SD),1 patient had progression of disease (PD).Dual-input perfusion of 320 row CT showed that 10 cases had the tumor area ＜ 15 cm2 and 8 cased had the tumor area ＞15 cm2 before the treatment.There was a negative correlation between PI and the tumor area (r =-0.694,P =0.026) on patients with the tumor area ＜ 15 cm2 before the treatment,and no correlation was found in patients with tumor area ＞15 cm2 (P ＞ 0.05).One case had Ⅳ degree of bone marrow suppression,and obvious adverse reactions were not seen in the rest of the patients.Conclusion Dual-input perfusion of 320 row CT based on the simple imaging can make an accurate quantitative judgement of the effect of SCLC according to perfusion parameter,which provides a new basis for curative effect evaluation on SCLC.

Immune cell infiltration is of great significance for the diagnosis and prognosis of cancer. In this study, we collected gene expression data of non-small cell lung cancer (NSCLC) and normal tissues included in TCGA database, obtained the proportion of 22 immune cells by CIBERSORT tool, and then evaluated the infiltration of immune cells. Subsequently, based on the proportion of 22 immune cells, a classification model of NSCLC tissues and normal tissues was constructed using machine learning methods. The AUC, sensitivity and specificity of classification model built by random forest algorithm reached 0.987, 0.98 and 0.84, respectively. In addition, the AUC, sensitivity and specificity of classification model of lung adenocarcinoma and lung squamous carcinoma tissues constructed by random forest method 0.827, 0.75 and 0.77, respectively. Finally, we constructed a prognosis model of NSCLC by combining the immunocyte score composed of 8 strongly correlated features of 22 immunocyte features screened by LASSO regression with clinical features. After evaluation and verification, C-index reached 0.71 and the calibration curves of three years and five years were well fitted in the prognosis model, which could accurately predict the degree of prognostic risk. This study aims to provide a new strategy for the diagnosis and prognosis of NSCLC based on the classification model and prognosis model established by immune cell infiltration.
Algorithms ; Carcinoma, Non-Small-Cell Lung ; diagnosis ; physiopathology ; Humans ; Lung Neoplasms ; diagnosis ; physiopathology ; Machine Learning ; Prognosis