Synergistic anti-tumor effects of lenalidomide and gefitinib by upregulating ADRB2 and inactivating the mTOR/PI3K/AKT signaling pathway in lung adenocarcinoma.

Gefitinib is commonly used to be the first-line therapy for advanced non-small cell lung cancer (NSCLC). Therapeutic effect of gefitinib is reduced due to acquired resistance, and combined treatment is recommended. In this research, we planned to explore the impacts of combined treatment of lenalidomide and gefitinib on gefitinib-sensitive or -resistant NSCLC cells. The co-treatment results demonstrated that enhanced antitumor impact on NSCLC cell growth, migration, invasion, cell cycle process and apoptosis. The tumor-bearing mouse models were established using PC9/GR cells. In vivo assays also showed that lenalidomide and gefitinib synergistically inhibited mouse tumor growth along increased the survival of mice. ADRB2 was identified as a lowly expressed gene in PC9/GR cells and LUAD tumor tissues. LUAD patients with high ADRB2 expression were indicated with favorable survival outcomes. Moreover, ADRB2 was upregulated in lenalidomide and/or gefitinib-treated PC9/GR cells. ADRB2 deficiency partially offsets the suppressive impacts of lenalidomide and gefitinib co-treatment on the viability and proliferation of PC9/GR cells. Additionally, lenalidomide and gefitinib cotreatment significantly inactivated the mTOR/PI3K/AKT signaling pathway compared with each treatment alone. Rescue assays were performed to explore whether lenalidomide and gefitinib synergistically inhibited the growth of PC9/GR cells via the PI3K/AKT pathway. PI3K activator SC79 significantly restored reduced cell proliferation, migration and invasion along with elevated cell cycle arrest and apoptosis caused by lenalidomide and gefitinib cotreatment. In conclusion, lenalidomide and gefitinib synergistically suppressed LUAD progression and attenuated gefitinib resistance by upregulating ADRB2 and inactivating the mTOR/PI3K/AKT signaling pathway in lung adenocarcinoma.

Systems pharmacology approach to explore the mechanisms of shufeng Jiedu Capsule on treating H1N1 infection.

BACKGROUND: Influenza caused by the H1N1 virus still affects human health. There is currently no effective strategy against H1N1 virus infection. The present study is to evaluate the mechanism of Shufeng Jiedu Capsule (SFJDC) in the treatment of H1N1 infection using an integrated systems pharmacology approach and experimental validation. SFJDC is recommended for the treatment of H1N1 infection in traditional Chinese medicine (TCM), whose mechanism of action is not precise. METHODS: We systematically analyzed SFJDC using a systematic pharmacology and ADME screening model, and predicted effective targets using systematic drug targeting (SysDT) algorithm. Subsequently, the network of interactions between compounds and targets was built to help in the discovery of new drugs. In addition, the pathway of molecular action was determined by using enrichment analysis from the predicted targets. what is more, molecular docking also applied to predict the specific binding sites and binding capacity of active compounds and related targets, which validated the results of the compounds-targets network (C-T network). Finally, the mechanism of SFJDC effect on autophagy and virus replication in H1N1 virus-infected RAW264.7 mouse macrophage cells was experimentally verified. RESULTS: The systematic pharmacology results suggested that 68 candidate compounds were obtained from SFJDC, which interacted with 74 different targets related to inflammation and the immune system. The CCK-8 results showed that different concentrations of SFJDC serum had no significant inhibitory effect on the viability of RAW264.7 cells. LC3-II was significantly increased after virus infection compared to the control group, while it was inhibited by different concentrations of SFJDC serum. H1N1 virus nucleocapsid protein (NP protein) was significantly reduced in the high concentration group, Interleukin-1ß (IL-1ß), Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α), and viral M1 gene were significantly reduced compared to the H1N1 group. CONCLUSIONS: The integrated systemic pharmacological approach and experimental validation not only provide a precise explanation of the molecular mechanism of SFJDC in the treatment of H1N1 infection but also provide valuable clues for the development of novel drug strategies to control the H1N1 infection.

Effect of hydrogen/oxygen therapy for ordinary COVID-19 patients: a propensity-score matched case-control study.

BACKGROUND: Hydrogen/oxygen therapy contribute to ameliorate dyspnea and disease progression in patients with respiratory diseases. Therefore, we hypothesized that hydrogen/oxygen therapy for ordinary coronavirus disease 2019 (COVID-19) patients might reduce the length of hospitalization and increase hospital discharge rates. METHODS: This retrospective, propensity-score matched (PSM) case-control study included 180 patients hospitalized with COVID-19 from 3 centers. After assigned in 1:2 ratios by PSM, 33 patients received hydrogen/oxygen therapy and 55 patients received oxygen therapy included in this study. Primary endpoint was the length of hospitalization. Secondary endpoints were hospital discharge rates and oxygen saturation (SpO2). Vital signs and respiratory symptoms were also observed. RESULTS: Findings confirmed a significantly lower median length of hospitalization (HR = 1.91; 95% CIs, 1.25-2.92; p < 0.05) in the hydrogen/oxygen group (12 days; 95% CI, 9-15) versus the oxygen group (13 days; 95% CI, 11-20). The higher hospital discharge rates were observed in the hydrogen/oxygen group at 21 days (93.9% vs. 74.5%; p < 0.05) and 28 days (97.0% vs. 85.5%; p < 0.05) compared with the oxygen group, except for 14 days (69.7% vs. 56.4%). After 5-day therapy, patients in hydrogen/oxygen group exhibited a higher level of SpO2 compared with that in the oxygen group (98.5%±0.56% vs. 97.8%±1.0%; p < 0.001). In subgroup analysis of patients received hydrogen/oxygen, patients aged < 55 years (p = 0.028) and without comorbidities (p = 0.002) exhibited a shorter hospitalization (median 10 days). CONCLUSION: This study indicated that hydrogen/oxygen might be a useful therapeutic medical gas to enhance SpO2 and shorten length of hospitalization in patients with ordinary COVID-19. Younger patients or those without comorbidities are likely to benefit more from hydrogen/oxygen therapy.

Comparison of newly diagnosed COPD patients and the non-COPD residents in Shanghai Minhang District.

Background: To compare whether the general population, especially those without characteristic symptoms, need spirometry screening for chronic obstructive pulmonary disease (COPD). Methods: Residents aged > 40 years old in Minhang, Shanghai, China, filled out screening questionnaires and underwent spirometry. The structured questionnaire integrating COPD population screening and COPD screening questionnaire was designed to obtain data on demographic characteristics, risk factors of COPD, respiratory symptoms, lifestyle habits, and comorbidities. We assessed the correlations between variables and COPD and the impact factors of FEV1% predicted. Results: A total of 1,147 residents were included with a newly diagnosed mild to moderate COPD prevalence of 9.4% (108/1,147); half of the patients (54/108) were asymptomatic. Multivariate analysis did not reveal any significant differences in symptoms or lifestyle factors between newly diagnosed COPD patients and non-COPD participants. However, according to the generalized linear model, older age (ß = -0.062, p < 0.001), male sex (ß = -0.031, p = 0.047), and respiratory symptoms (ß = -0.025, p = 0.013) were associated with more severe airflow limitation. Conclusion: Newly diagnosed COPD patients had few differences compared with the general population, which suggests that a targeted case finding strategy other than general screening was currently preferred. More attention should be paid to respiratory symptoms when making a diagnosis and exploring new therapies and interventions for COPD in the early stage.

Using machine learning for mortality prediction and risk stratification in atezolizumab-treated cancer patients: Integrative analysis of eight clinical trials.

BACKGROUND: Few models exist to predict mortality in cancer patients receiving immunotherapy. Our aim was to build a machine learning-based risk stratification model for predicting mortality in atezolizumab-treated cancer patients. METHODS: Data from 2538 patients in eight atezolizumab-treated cancer clinical trials across three cancer types (non-small-cell lung cancer, bladder transitional cell carcinoma, and renal cell carcinoma) were included. The whole cohort was randomly split into development and validation cohorts in a 7:3 ratio. Machine-learning algorithms (extreme gradient boosting, random forest, logistic regression with lasso regularization, support vector machine, and K-nearest neighbor) were applied to develop prediction models. Model performance was mainly assessed by area under the receiver operating characteristic curve (AUC) value, calibration plot, and decision curve analysis. The probability of death risk was then stratified. RESULTS: One thousand and three hundred and seventy-nine (54.33%) patients died. The random forest (RF) model was overall the best in terms of predictive performance, with the AUC of 0.844 (95% confidence interval [CI]: 0.826-0.862) in the development cohort and 0.786 (95% CI: 0.754-0.818) in the validation cohort for predicting mortality. Twelve baseline variables contributing to mortality prediction in the RF model were C-reactive protein, PD-L1 level, cancer type, prior liver metastasis, derived neutrophil-to-lymphocyte ratio, alkaline phosphatase, albumin, hemoglobin, white blood cell count, number of metastatic sites, pulse rate, and Eastern Cooperative Oncology Group (ECOG) performance status. A total of 1782 (70.2%) patients were separated into the high-risk and 756 (29.8%) low-risk groups. Patients in the high-risk group were significantly more likely to die, experience disease progression, discontinue study, and discontinue treatment than patients in the low-risk group (all p values < 0.001). Risk groups were not associated with immune-related adverse events and grades 3-5 treatment-related adverse events (all p values > 0.05). CONCLUSION: RF model has good performance in mortality prediction and risk stratification for cancer patients receiving atezolizumab monotherapy.

Sintilimab versus docetaxel as second-line treatment in advanced or metastatic squamous non-small-cell lung cancer: an open-label, randomized controlled phase 3 trial (ORIENT-3).

BACKGROUND: Treatment options for Chinese patients with locally advanced or metastatic squamous-cell non-small-cell lung cancer (sqNSCLC) after failure of first-line chemotherapy are limited. This study (ORIENT-3) aimed to evaluate the efficacy and safety of sintilimab versus docetaxel as second-line treatment in patients with locally advanced or metastatic sqNSCLC. METHODS: ORIENT-3 was an open-label, multicenter, randomized controlled phase 3 trial that recruited patients with stage IIIB/IIIC/IV sqNSCLC after failure with first-line platinum-based chemotherapy. Patients were randomized in a 1:1 ratio to receive either 200 mg of sintilimab or 75 mg/m2 of docetaxel intravenously every 3 weeks, stratified by the Eastern Cooperative Oncology Group performance status. The primary endpoint was overall survival (OS) in the full analysis set (FAS). Secondary endpoints included progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), duration of response (DoR) and safety. RESULTS: Between August 25, 2017, and November 7, 2018, 290 patients were randomized. For FAS, 10 patients from the docetaxel arm were excluded. The median OS was 11.79 (n = 145; 95% confidence interval [CI], 10.28-15.57) months with sintilimab versus 8.25 (n = 135; 95% CI, 6.47-9.82) months with docetaxel (hazard ratio [HR]: 0.74; 95% CI, 0.56-0.96; P = 0.025). Sintilimab treatment significantly prolonged PFS (median 4.30 vs. 2.79 months; HR: 0.52; 95% CI, 0.39-0.68; P < 0.001) and showed higher ORR (25.50% vs. 2.20%, P < 0.001) and DCR (65.50% vs. 37.80%, P < 0.001) than the docetaxel arm. The median DoR was 12.45 (95% CI, 4.86-25.33) months in the sintilimab arm and 4.14 (95% CI, 1.41-7.23) months in the docetaxel arm (P = 0.045). Treatment-related adverse events of grade ≥ 3 were reported in 26 (18.1%) patients in the sintilimab arm and 47 (36.2%) patients in the docetaxel arm. Exploratory biomarker analysis showed potential predictive values of expression levels of two transcription factors, including OVOL2 (HR: 0.35; P < 0.001) and CTCF (HR: 3.50; P < 0.001)，for sintilimab treatment. CONCLUSIONS: Compared with docetaxel, sintilimab significantly improved the OS, PFS, and ORR of Chinese patients with previously treated locally advanced or metastatic sqNSCLC.

Evaluating the ability of the NLHA2 and artificial neural network models to predict COVID-19 severity, and comparing them with the four existing scoring systems.

To improve the identification and subsequent intervention of COVID-19 patients at risk for ICU admission, we constructed COVID-19 severity prediction models using logistic regression and artificial neural network (ANN) analysis and compared them with the four existing scoring systems (PSI, CURB-65, SMARTCOP, and MuLBSTA). In this prospective multi-center study, 296 patients with COVID-19 pneumonia were enrolled and split into the General-Ward-Care group (N = 238) and the ICU-Admission group (N = 58). The PSI model (AUC = 0.861) had the best results among the existing four scoring systems, followed by SMARTCOP (AUC = 0.770), motified-MuLBSTA (AUC = 0.761), and CURB-65 (AUC = 0.712). Data from 197 patients (training set) were analyzed for modeling. The beta coefficients from logistic regression were used to develop a severity prediction model and risk score calculator. The final model (NLHA2) included five covariates (consumes alcohol, neutrophil count, lymphocyte count, hemoglobin, and AKP). The NLHA2 model (training: AUC = 0.959; testing: AUC = 0.857) had similar results to the PSI model, but with fewer variable items. ANN analysis was used to build another complex model, which had higher accuracy (training: AUC = 1.000; testing: AUC = 0.907). Discrimination and calibration were further verified through bootstrapping (2000 replicates), Hosmer-Lemeshow goodness of fit testing, and Brier score calculation. In conclusion, the PSI model is the best existing system for predicting ICU admission among COVID-19 patients, while two newly-designed models (NLHA2 and ANN) performed better than PSI, and will provide a new approach for the development of prognostic evaluation system in a novel respiratory viral epidemic.

Efficacy of a Self-Designed Questionnaire for Community Screening of COPD.

Purpose: To evaluate the screening efficacy of a self-designed questionnaire for chronic obstructive pulmonary disease (COPD) and the potential gender disparity in its efficacy. Patients and Methods: A screening questionnaire, the COPD Screening Questionnaire-Minhang (COPD-MH), was designed with reference to the self-scored COPD population screener (COPD-PS) and the COPD screening questionnaire (COPD-SQ), incorporating characteristics of the local population in Shanghai, China. The revised questionnaire included only five questions. Each question scored 0-4, with a highest total score of 20. The COPD-PS and COPD-SQ comprised 5 and 7 questions, respectively. Their scoring criteria were not consecutive integers and, thus, not easily counted. The COPD-MH focused on symptoms, and each item was set the same answers for convenience. Screening for COPD was conducted among residents over 40 years old in a community in Shanghai using the three aforementioned questionnaires. Each participant also received spirometry tests. A receiver operator characteristic (ROC) curve was drawn, and the area under the curve (AUC) was calculated to assess the validity of each questionnaire. Results: A total of 1197 community residents in Minhang District completed the screening. A total of 1023 participants were finally included in analysis with a detected prevalence of 12.4% for COPD. The best cut-off values for the COPD-PS, COPD-SQ, and COPD-MH were 4, 16, and 7 points, respectively. The AUCs for these three questionnaires were >0.5, but the sensitivity of the COPD-MH was higher than those of the COPD-PS and COPD-SQ. The sensitivity of COPD-MH was 80.77% for males and 77.5% for females. The COPD-MH had higher diagnostic efficiency and higher sensitivity with gender-specific cut-off values. Conclusion: The COPD-MH is comparable to and less time-consuming than the existing screening methods for COPD. Gender-related factors affect the optimal cut-off values of the COPD screening questionnaire, and rectifying this can improve the practical screening efficacy.

Fibrinogen to Albumin Ratio as an Independent Risk Factor for Type 2 Diabetic Kidney Disease.

PURPOSE: Diabetic kidney disease (DKD) is an inflammatory disease. This study aimed to investigate the association of fibrinogen to albumin ratio (FAR) with DKD. PATIENTS AND METHODS: A total of 1022 type 2 diabetes mellitus (T2DM) patients with DKD and 1203 T2DM patients without DKD were enrolled in this study. Laboratory values including blood cell count, hemoglobin A1c, biochemical parameters, and fibrinogen and albumin creatinine ratio were recorded. Patients were classified according to tertile of admission FAR. Clinical parameters were compared between groups. Logistic regression, linear regression, ROC analysis and spline regression were carried out. RESULTS: FAR in the DKD group was significantly higher than that in the non-DKD group. FAR had the highest odds ratio as an independent risk factor for the development of DKD and the highest area under ROC curve for predicting DKD compared with albumin (ALB) or fibrinogen (FIB) alone. Simple linear regression analyses revealed a significant and linear correlation of FAR with neutrophil and neutrophil-to-lymphocyte ratio. FAR was an independent risk factor for development of DKD. Spline regression showed that there was a significant linear association between DKD incidence and continuous FAR value when it exceeded 67.3mg/g. CONCLUSION: FAR is a stronger independent predictor of DKD than FIB and ALB. FAR is an independent risk factor for DKD development when it exceeded 67.3mg/g. FAR might be one of novel diagnostic biomarkers to predict and prevent DKD progression. However, a prospective study to validate the prognostic model is still needed.

Epidemiology and issues of NIV-treated AECOPD patients with hypercapnic respiratory failure in Shanghai: A multicentre retrospective survey.

OBJECTIVE: To investigate the epidemiology, clinical features, treatment and outcome of Noninvasive ventilation (NIV)-treated acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients in secondary hospitals of Shanghai. METHOD: Relying on Shanghai alliances for respiratory diseases, a retrospective observational study was performed in 34 secondary hospitals of Shanghai. The AECOPD patients treated with NIV and admitted to the respiratory department or respiratory intensive care unit were recruited between December 1, 2016, and November 30, 2017. RESULTS: There were 555 patients finally recruited in this study. The age was 75.8 ± 9.6 years old and 380 patients (68.5%) were male. 70.5% of all patients had respiratory acidosis (pH <7.35). 55.3% of all patients received nebulised bronchodilator and 77.7% were treated with systemic or inhaled corticosteroids during hospitalisation. 525 patients (94.6%) recovered successfully and the mortality was 3.2%. The hospitalisation was 15.3 ± 6.7 days and hospital expenses were 22 911 ± 13 595 RMB. Inadequate and nonstandard drug treatments were the most important problems during management. CONCLUSION: The NIV can be successfully used for AECOP patients in local hospitals of Shanghai, but accompanied by high costs and long hospital stays. However, the treatments for exacerbation and stable COPD patients are still insufficient.

Erratum to hydrogen/oxygen mixed gas inhalation improves disease severity and dyspnea in patients with Coronavirus disease 2019 in a recent multicenter, open-label clinical trial.

[This corrects the article DOI: 10.21037/jtd-2020-057.].

Clinical course of COVID-19 in patients with pre-existing decompensated cirrhosis: initial report from China.

BACKGROUND: The clinical characteristics and disease course in COVID-19 patients with pre-existing decompensated cirrhosis has not been described so far. METHODS: In this case series, we report three patients with confirmed COVID-19 and pre-existing decompensated cirrhosis from three hospitals in Hubei, the epicenter of the outbreak in China. RESULT: Patient 1 was a 53-year-old man with hepatitis B virus-related cirrhosis, portal hypertension, and ascites. Though receiving intensive support, he died of irreversible multiple organ dysfunction syndrome 48 days after the onset of the illness. Patient 2 was a 75-year-old woman with a history of schistosomiasis-related cirrhosis, portal hypertension, and ascites. Her family members requested that invasive rescue measures not be undertaken, and she died of acute respiratory distress syndrome 40 days after presenting with COVID-19 infection. Patient 3 was an 87-year-old man with alcohol-related cirrhosis, portal hypertension, and esophageal variceal hemorrhage. He was discharged from the hospital 29 days after illness onset. CONCLUSION: The case series raise the possibility that decompensated cirrhosis may be a risk factor for a poor outcome in patients with COVID-19.

LncRNA SNHG3 is activated by E2F1 and promotes proliferation and migration of non-small-cell lung cancer cells through activating TGF-ß pathway and IL-6/JAK2/STAT3 pathway.

Recently, long noncoding RNAs (lncRNAs) have been widely reported to play pivotal roles in the regulation of human cancers. Although the oncogenic property of lncRNA small nucleolar RNA host gene 3 (SNHG3) has been revealed in a variety of cancers, functions and regulatory mechanism of SNHG3 in non-small-cell lung cancer (NSCLC) remain to be investigated. In this study, we detected the upregulated expression of SNHG3 in NSCLC tissues as well as cells through quantitative reverse-transcription polymerase chain reaction (qRT-PCR) analysis. Using Kaplan-Meier analysis, we determined that a high-level of SNHG3 was associated with a low overall survival rate of patients with NSCLC. Through gain and loss of function experiments, we demonstrated that SNHG3 had a significantly positive effect on NSCLC cell proliferation and migration. Mechanistic investigations revealed that SNHG3 was a predicted direct transcriptional target of E2F1. We observed that the transcriptional activation of SNHG3 could be induced by E2F1. To explore the mechanism, rescue experiments were carried out, which revealed that the cotreatment with SB-431542, JSI-124, or JSI-124 + SB-431542 rescued the effects brought by the overexpression of SNHG3 on NSCLC cell proliferation, migration, and epithelial-mesenchymal transition process. Our results suggested that E2F1 activated SNHG3 and promoted cell proliferation and migration in NSCLC via transforming growth factor-ß pathway and interleukin-6/janus-activated kinase 2/signal transducer and activator of transcription 3 pathway, which implied that SNHG3 may be a biomarker for the treatment of patients with NSCLC.

Analysis of viral infection and biomarkers in patients with acute exacerbation of chronic obstructive pulmonary disease.

OBJECTIVE: To investigate viral infection in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in Shanghai, and to analyze the clinical characteristics and biomarkers in viral infection. METHODS: This study included all consecutive patients who were admitted for a diagnosis of AECOPD during June 2013 to May 2015. Thirty-one stable COPD patients and 31 healthy controls were also recruited. Oropharyngeal samples were assessed, PCR for respiratory viruses were performed. Patients were divided into AECOPD virus-positive (+) group and AECOPD virus-negative (-) group according to viral detection. Luminex was used to detect the concentrations of inflammatory cytokines in the serum. RESULTS: A total of 264 patients were included with a mean age of 75 ± 0.5 years. There were 72 patients (27.3%) identified with viral positive, of whom two patients were detected with double viral infections (FluA + FluB and RSVA + HRV, respectively). The rate of viral detection was associated with season, highest in winter. Comparisons of clinical characteristics showed no significant differences between AECOPD virus+ group and AECOPD virus- group. However, serum concentrations of interferon-inducible protein-10 (IP-10) and interferon-gamma (IFN-γ) in virus+ AECOPD patients were significantly higher than those in the virus- AECOPD, stable COPD and healthy control groups (P < .05). CONCLUSION: Viral infection was an important pathogen in AECOPD patients; the most common viruses included FluA, HRV and FluB. It was very difficult to diagnose the viral infection according to clinical characteristics. The increased of serum IP-10 and IFN-γ levels might be value to indicate viral infection in AECOPD.

Targeted blockade of TGF-ß and IL-6/JAK2/STAT3 pathways inhibits lung cancer growth promoted by bone marrow-derived myofibroblasts.

To investigate the role of TGF-ß and IL-6 in myofibroblasts (MFs) - lung cancer cell interactions, lung cancer cells (Lewis and CTM-167 cell lines) were stimulated by IL-6, MF-conditioned medium (MF-CM) or MFs, with or without TGF-ß signaling inhibitor - SB431542 and/or JAK2/STAT3 inhibitor - JSI-124. MFs were stimulated by TGF-ß, cancer cell-CM or cancer cells, with or without SB431542 and JSI-124. Cell proliferation, the levels of cytokines, expression of mRNA and protein were determined. Mice bearing xenograft tumors were intraperitoneally treated with SB431542 or JSI-124 and monitored for up to 45 days. In co-culture systems, MFs secreted high levels of IL-6, while cancer cells produced high levels of TGF-ß. Recombinant IL-6 and MF-CM activated STAT3 and upregulated TGF-ß in cancer cells. In contrast, cancer cell-CM or TGF-ß stimulated MFs to produce IL-6. Blockade of JAK2/STAT3 and TGF-ß signaling by specific inhibitors significantly inhibited cell proliferation in vitro and tumor growth in vivo of lung cancer cells. Our study demontrated that the TGF-ß and IL-6/JAK2/STAT3 signaling pathways form a positive feedback signaling loop that mediated the interactions between MFs and lung cancer cells. Targeted inhibiton of this signaling loop could be a new approach for lung cancer prevention and therapy.

IL-17A and IL-17F single nucleotide polymorphisms associated with lung cancer in Chinese population.

BACKGROUND AND AIMS: Genetic predisposition and environmental factors impact the development of lung cancer. The aim of this study was to investigate the association of single nucleotide polymorphisms (SNPs) of the IL-17A and IL-17F genes with lung cancer risk in Chinese Han population. METHODS: A total of 678 subjects were enrolled, including 320 lung cancer patients and 358 healthy controls. Six SNPs of IL-17A (rs2275913, rs3748067 and rs3819025) and IL-17F (rs763780, rs1266828 and rs12203582) were genotyped using the polymerase chain reaction (PCR) and ligase detection reaction (LDR). RESULTS: The distribution of IL-17A alleles and A and AA genotype for rs2275913 had a significant association with lung cancer risk (OR: 1.26, 95% confidence interval = 1.01-1.56 and OR: 2.08, 95% confidence interval = 1.311-3.31, respectively). In the subgroup analysis, people carrying homozygous variants of rs2275913 and rs12203582 were more likely to develop lung cancer both in adenocarcinoma (OR: 2.33, 95% confidence interval = 1.34-4.05; OR: 1.84, 95% confidence interval = 1.04-3.25) and advanced (OR: 2.35, 95% confidence interval = 1.46-3.80; OR: 1.74, 95% confidence interval = 1.06-2.87) groups. Although no interaction was found between variants of rs2275913 and rs12203582 and tobacco smoking (P > 0.05), smokers carrying homozygous variants of rs2275913 and rs12203582 are at high risk of lung cancer, while no relationship were found among non-smokers. No significant associations between rs3748067, rs3819025, rs763780 and rs1266828 polymorphisms and lung cancer risk were observed. CONCLUSIONS: Polymorphisms of both IL-17A and IL-17F may increase lung cancer risk in Chinese population, and are associated differently with subtypes of clinical-pathologic features and tobacco smoking history of lung cancer patients. SNPs of IL-17A and IL-17F predict lung cancer risk.

A comparison of synchronized intermittent mandatory ventilation and pressure-regulated volume control ventilation in elderly patients with acute exacerbations of COPD and respiratory failure.

BACKGROUND: COPD is the third leading cause of death worldwide. Acute exacerbations of COPD may cause respiratory failure, requiring intensive care unit admission and mechanical ventilation. Intensive care unit patients with acute exacerbations of COPD requiring mechanical ventilation have higher mortality rates than other hospitalized patients. Although mechanical ventilation is the most effective intervention for these conditions, invasive ventilation techniques have yielded variable effects. OBJECTIVE: We evaluated pressure-regulated volume control (PRVC) ventilation treatment efficacy and preventive effects on pulmonary barotrauma in elderly COPD patients with respiratory failure. PATIENTS AND METHODS: Thirty-nine intubated patients were divided into experimental and control groups and treated with the PRVC and synchronized intermittent mandatory ventilation - volume control methods, respectively. Vital signs, respiratory mechanics, and arterial blood gas analyses were monitored for 2-4 hours and 48 hours. RESULTS: Both groups showed rapidly improved pH, partial pressure of oxygen (PaO2), and PaO2 per fraction of inspired O2 levels and lower partial pressure of carbon dioxide (PaCO2) levels. The pH and PaCO2 levels at 2-4 hours were lower and higher, respectively, in the test group than those in the control group (P<0.05 for both); after 48 hours, blood gas analyses showed no statistical difference in any marker (P>0.05). Vital signs during 2-4 hours and 48 hours of treatment showed no statistical difference in either group (P>0.05). The level of peak inspiratory pressure in the experimental group after mechanical ventilation for 2-4 hours and 48 hours was significantly lower than that in the control group (P<0.05), while other variables were not significantly different between groups (P>0.05). CONCLUSION: Among elderly COPD patients with respiratory failure, application of PRVC resulted in rapid improvement in arterial blood gas analyses while maintaining a low peak inspiratory pressure. PRVC can reduce pulmonary barotrauma risk, making it a safer protective ventilation mode than synchronized intermittent mandatory ventilation - volume control.

Bone-marrow-derived mesenchymal stem cells inhibit gastric aspiration lung injury and inflammation in rats.

Gastric aspiration lung injury is one of the most common clinical events. This study investigated the effects of bone-marrow-derived mesenchymal stem cells (BMSCs) on combined acid plus small non-acidified particle (CASP)-induced aspiration lung injury. Enhanced green fluorescent protein (EGFP(+) ) or EGFP(-) BMSCs or 15d-PGJ2 were injected via the tail vein into rats immediately after CASP-induced aspiration lung injury. Pathological changes in lung tissues, blood gas analysis, the wet/dry weight ratio (W/D) of the lung, levels of total proteins and number of total cells and neutrophils in bronchoalveolar lavage fluid (BALF) were determined. The cytokine levels were measured using ELISA. Protein expression was determined by Western blot. Bone-marrow-derived mesenchymal stem cells treatment significantly reduced alveolar oedema, exudation and lung inflammation; increased the arterial partial pressure of oxygen; and decreased the W/D of the lung, the levels of total proteins and the number of total cells and neutrophils in BALF in the rats with CASP-induced lung injury. Bone-marrow-derived mesenchymal stem cells treatment decreased the levels of tumour necrosis factor-α and Cytokine-induced neutrophil chemoattractant (CINC)-1 and the expression of p-p65 and increased the levels of interleukin-10 and 15d-PGJ2 and the expression of peroxisome proliferator-activated receptor (PPAR)-γ in the lung tissue in CASP-induced rats. Tumour necrosis factor-α stimulated BMSCs to secrete 15d-PGJ2 . A tracking experiment showed that EGFP(+) BMSCs were able to migrate to local lung tissues. Treatment with 15d-PGJ2 also significantly inhibited CASP-induced lung inflammation and the production of pro-inflammatory cytokines. Our results show that BMSCs can protect lung tissues from gastric aspiration injury and inhibit lung inflammation in rats. A beneficial effect might be achieved through BMSC-derived 15d-PGJ2 activation of the PPAR-γ receptor, reducing the production of proinflammatory cytokines.