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Objective: To investigate the influences of human lung adenocarcinoma PC-9 cells on tight junction proteins of blood brain barrier (BBB) under CXCR4/SDF-1 axis by establishing a model of BBB in vitro. Methods: The immortalized mouse brain microvascular endothelial Bends cells were used to establish a model of BBB in vitro by monolayer culture; Subsequently, transendothelial electric resistance (TEER) and fluorescein sodium permeability experiment were used to detect the function of in vitro BBB model and observe the effect of PC-9 cells on the function of BBB model, respectively. Western blotting was used to detect the effect of PC-9 cells on function of BBB model and expressions of endothelial tight junction proteins under the treatment of single or combined AMD3100 and SDF-1 (1 μg/ml AMD3100,100 ng/ml SDF-1, AMD3100+SDF-1). Transwell assay was used to detect the influence of CXCR4/SDF-1 axis on the ability of PC-9 cells transmigrating the cell layer of BBB model. Results: Monolayer culture of Bends cells can form tightly connected BBB with highTEER,which reached (182.13±5.19) Ω.cm² at the 96 h; in the meanwhile, fluorescein sodium permeability experiment showed that BBB had significantly lower permeability than that of control group ([40.31±2.43]% vs [150.10± 3.17]%, P<0.05). The TEER of BBB decreased to (46.7±4.35) Ω•cm² after coculture with PC-9 cells for 24 h, and at the same time the sodium fluorescein permeability of BBB significantly increased than that of pre-treatment ([136.32±4.93]% vs [50.24±6.21]%, P<0.05). PC-9 cells up-regulated the expressions of tight junction proteins of Bends cells under the treatment of AMD3100 (P<0.05). The number of PC-9 cells transmigrating the BBB in AMD3100 treatment group was significantly lower than that of CON group (43±2 vs 81±2, P<0.05). Conclusion: AMD3100 can reduce the ability of PC-9 cells destroying the tight junction of the BBB model established in vitro by Bends cells. [ABSTRACT FROM AUTHOR]

Overland runoff is a main factor causing soil erosion ion hillslope, and runoff modeling is an effective way to predict soil erosion for conservation of the hillslope cropland of purple soil. The model of Soil Conservation Service-curve number (SCS-CN) is widely used for predicting direct runoff discharge based on measured rainfall, and also used as a runoff-estimating component of more complex watershed models. As a basic input parameter in the SCS-CN model, the curve number greatly affects the predictive value of runoff depth, and the initial abstraction ratio (λ) that was assumed to be o 0.2 in the original development of SCS-CN model. When applied in the hillslope areas, few attempts have been made to incorporate a slope gradient factor into the CN method although slope gradient exerts great influence on discharge of overland runoff according to relevant studies. In addition, the initial abstraction ratio is considered to be a constant in many applications, although lots of studies revealed that variations of the ratio exist in different conditions. In this study, the relationship between runoff and slope gradient was revealed by analyzing observed data of 5 rainfall-runoff events in 2013 from experimental plots with slopes varying from 6.5° to 25°. The existing approaches integrating slope gradient factor in the SCS-CN model were directly evaluated for simulating the rainfall-induced runoff in the hillslope cropland of purple soil. Meanwhile, the initial abstraction ratio was optimized considering the influence of rainfall volume. The Nash-Sutcliffe efficiency (E) and relative error (RE) were used in the simulation results evaluation. The results indicated that the observed discharge of runoff increased obviously with the increase of slope gradient in a rainfall event, and the runoff discharge achieved maximum at a critical slope. For our experimental conditions, the slope-modified SCS-CN method proposed by Williams overestimated the runoff depths with Nash-Sutcliffe efficiency (E) of 0.76. The initial abstraction ratio (λ) of 0.2 was applicable to estimate small rainfall-runoff events based on the equation proposed by Huang. For the large rainfall-runoff events, the slope-adjusted CN method put forward by Huang performed better with increasing initial abstraction ratio (λ). It appeared to be appropriate for overland runoff prediction in hillslope cropland of purple soil when the value of λ was equal to 0.3 in the case of large rainfall-runoff events, according to the values of Nash-Sutcliffe efficiency (E=0.99) and mean relative error (RE=7.42%). Runoff discharge observed and estimated by the modified model achieved relatively good agreement in each rainfall-runoff event with mean relative error of 7.58%, 7.93%, 8.92%, 5.98%, and 7.13%, respectively. The results also revealed that the validated curve numbers calculated from the equation developed by Huang were 78.23, 78.45, 78.77, 79.11, and 79.47 for each slope gradient from 6.5°to 25°, respectively. This study provides valuable information for rainfall-runoff estimation and soil and water conservation in the hilly area of purple soil. [ABSTRACT FROM AUTHOR]

Background: Cough is one of the main complications after pulmonary surgery, which seriously affects the postoperative quality of life. Preserving the pulmonary branch of vagus nerve may reduce the incidence of postoperative cough. Therefore, the aim of this study was to investigate whether preserving the pulmonary branch of the vagus nerve could reduce the incidence of postoperative chronic cough in patients with stage I peripheral lung adenocarcinoma., Methods: A total of 125 patients who underwent single-port thoracoscopic radical resection for lung cancer in the Department of Thoracic Surgery, The First Affiliated Hospital of University of Science and Technology of China from June 2022 to June 2023 were retrospectively selected, and divided into two groups according to whether the vagopulmonary branch was preserved during the operation, namely, the vagopulmonary branch group (n=61) and the traditional group (n=64). The general clinical data, perioperative conditions, lymph node dissection, Mandarin Chinese version of The Leicester Cough Questionnaire (LCQ-MC) scores before and 8 weeks after operation were recorded in the two groups. Both the two groups were divided into tamponade group and non-tamponade group according to whether autologous fat or gelatin sponge was tamponade after lymph node dissection. LCQ-MC scores and postoperative chronic cough of both groups were calculated., Results: The LCQ-MC score of the traditional group was significantly lower than that of the vagopulmonary branch group in physiological, psychological, social and total scores at 8 weeks after surgery, and the difference was statistically significant (P<0.05). There were more cough patients in the traditional group than the vagopulmonary branch group at 8 weeks after surgery, with significant difference (P=0.006). Subgroup analysis was conducted separately for the vagopulmonary branch group and the traditional group. Among the patients in the vagopulmonary branch group and the traditional group, the LCQ-MC scores of the non-tamponade group 8 weeks after surgery were lower than those of the tamponade group (P<0.05). There were more patients with cough in the group 8 weeks after surgery than in the tamponade group (P=0.001, P=0.024)., Conclusions: For patients with stage I peripheral lung adenocarcinoma, the preservation of the pulmonary branch of vagus nerve is safe and effective, which can reduce the incidence of postoperative chronic cough and improve the postoperative quality of life of the patients.

Background: Chronic cough after pulmonary resection is one of the most common complications, which seriously affects the quality of life of patients after surgery. Therefore, the aim of this study is to explore the risk factors of chronic cough after pulmonary resection and construct a prediction model., Methods: The clinical data and postoperative cough of 499 patients who underwent pneumonectomy or pulmonary resection in The First Affiliated Hospital of University of Science and Technology of China from January 2021 to June 2023 were retrospectively analyzed. The patients were randomly divided into training set (n=348) and validation set (n=151) according to the principle of 7:3 randomization. According to whether the patients in the training set had chronic cough after surgery, they were divided into cough group and non-cough group. The Mandarin Chinese version of Leicester cough questionnare (LCQ-MC) was used to assess the severity of cough and its impact on patients' quality of life before and after surgery. The visual analog scale (VAS) and the self-designed numerical rating scale (NRS) were used to evaluate the postoperative chronic cough. Univariate and multivariate Logistic regression analysis were used to analyze the independent risk factors and construct a model. Receiver operator characteristic (ROC) curve was used to evaluate the discrimination of the model, and calibration curve was used to evaluate the consistency of the model. The clinical application value of the model was evaluated by decision curve analysis (DCA)., Results: Multivariate Logistic analysis screened out that preoperative forced expiratory volume in the first second/forced vital capacity (FEV1/FVC), surgical procedure, upper mediastinal lymph node dissection, subcarinal lymph node dissection, and postoperative closed thoracic drainage time were independent risk factors for postoperative chronic cough. Based on the results of multivariate analysis, a Nomogram prediction model was constructed. The area under the ROC curve was 0.954 (95%CI: 0.930-0.978), and the cut-off value corresponding to the maximum Youden index was 0.171, with a sensitivity of 94.7% and a specificity of 86.6%. With a Bootstrap sample of 1000 times, the predicted risk of chronic cough after pulmonary resection by the calibration curve was highly consistent with the actual risk. DCA showed that when the preprobability of the prediction model probability was between 0.1 and 0.9, patients showed a positive net benefit., Conclusions: Chronic cough after pulmonary resection seriously affects the quality of life of patients. The visual presentation form of the Nomogram is helpful to accurately predict chronic cough after pulmonary resection and provide support for clinical decision-making.

Background: Pre-operative accuracy of subcentimeter ground glass nodules (SGGNs) is a difficult problem in clinical practice, but there are few clinical studies on the benign and malignant prediction model of SGGNs. The aim of this study was to help identify benign and malignant lesions of SGGNs based on the imaging features of high resolution computed tomography (HRCT) and the general clinical data of patients, and to build a risk prediction model., Methods: This study retrospectively analyzed the clinical data of 483 patients with SGGNs who underwent surgical resection and were confirmed by histology from the First Affiliated Hospital of University of Science and Technology of China from August 2020 to December 2021. The patients were divided into the training set (n=338) and the validation set (n=145) according to 7:3 random assignment. According to the postoperative histology, they were divided into adenocarcinoma group and benign lesion group. The independent risk factors and models were analyzed by univariate analysis and multivariate Logistic regression. The receiver operator characteristic (ROC) curve was constructed to evaluate the model differentiation, and the calibration curve was used to evaluate the model consistency. The clinical application value of the decision curve analysis (DCA) evaluation model was drawn, and the validation set data was substituted for external verification., Results: Multivariate Logistic analysis screened out patients' age, vascular sign, lobular sign, nodule volume and mean-CT value as independent risk factors for SGGNs. Based on the results of multivariate analysis, Nomogram prediction model was constructed, and the area under ROC curve was 0.836 (95%CI: 0.794-0.879). The critical value corresponding to the maximum approximate entry index was 0.483. The sensitivity was 76.6%, and the specificity was 80.1%. The positive predictive value was 86.5%, and the negative predictive value was 68.7%. The benign and malignant risk of SGGNs predicted by the calibration curve was highly consistent with the actual occurrence risk after sampling 1,000 times using Bootstrap method. DCA showed that patients showed a positive net benefit when the predictive probability of the predicted model probability was 0.2 to 0.9., Conclusions: Based on preoperative medical history and preoperative HRCT examination indicators, the benign and malignant risk prediction model of SGGNs was established to have good predictive efficacy and clinical application value. The visualization of Nomogram can help to screen out high-risk groups of SGGNs, providing support for clinical decision-making.