Objective To determine the value of forced expiratory volume in 6 second (FEV6) and forced expiratory volume in 1 second (FEV1)/FEV6 in diagnosis of obstructive and restrictive lung ventilation dysfunction.Methods A total of 470 cases receiving spirometric examinations were analyzed retrospectively.A subject was considered to have obstruction if FEV1/forced vital capacity (FVC) was ＜ 70％.The restriction was defined as FVC ＜ 80％ in the absence of obstruction.The best cut-off of FEV1/FEV6 and FEV6 were determined through receiver-operating characteristics curve,and the sensitivity,specificity,accuracy and Kappa of FEV1/FEV6 and FEV6 were calculated.Results It showed that the current cut-off points used to detect obstruction and restriction could be replaced by FEV1/FEV6 was 71％ and FEV6 was 82％,respectively.FEV1/FEV6 had sensitivity of 97.5％ (154/158),specificity of 98.7％ (308/312),accuracy of 98.3％ (462/470) and Kappa of 0.962 (P=0.000).For restrictive pattern,FEV6 had sensitivity of 96.1％(73/76),specificity of 95.7％ (222/232),accuracy of 95.8％ (295/308) and Kappa of 0.890 (P =0.000).Conclusions FEV6 can be a valid alternative for FVC in the diagnosis of obstructive and restrictive lung ventilation dysfunction.

Objective To explore the role of Th17 cells in the pathogenesis of asthma .Methods Peripheral blood was obtained from 10 patients with asthma(asthma group) and 10 healthy volunteers(control group) .RORγt mRNA expression of lymphocytes was measured by RT-PCR ,percentage of Th17 cell was detected by FCM ,IL-17 in plasma was examined by ELISA .Results RORγt mRNA level in asthma group(0 .46 ± 0 .07) was significantly higher than that in control group (0 .15 ± 0 .02) ,proportion of Th17 cell in asthma group(28 .53 ± 7 .20)% was significantly higher than that in control group(14 .72 ± 2 .33)% ,P<0 .01 .Com-pared with IL-17 level in control group(59 .68 ± 8 .85)pg/mL ,there was significant increase in asthma group(102 .31 ± 11 .45)pg/mL(P<0 .01) .Conclusion Th17 cell is associated with asthma ,and probably aggravating asthma condition through increasing in-flammation secreting IL-17 .

Objective To investigate the relationship between cytochrome P450 1A2 (CYP1A2) gene polymorphism and susceptibility to chronic obstructive pulmonary disease (COPD). Methods CYP1A2 gene polymorphisms in 100 COPD cases and 100 healthy controls were tested with polymerase chain reaction- restriction fragment length polymorphism (PCR- RELP). Results Genotype frequencies of 4 SNPs in both the COPD and control groups were in accordance with Hardy-Weinberg equilibrium (P>0.05). There was significant difference between the COPD and control groups in genotype and allele frequencies of 1D and 1F (P<0.05), but not of 1C and 1E (P>0.05). Conclusion CYP1A2*1D and CYP1A2*1F polymorphisms may play an important role in the development of COPD.

Objective To investigate the expression of miR-155 in rats exposed to PM2.5 and its signifi-cance.Methods Thirty-two 12-weeks-old healthy male SD rats were randomly divided into PM2.5-primary expo-sure group (P1),PM2.5-three times exposure group (P3), saline-control group and blank-control group (O), with 8 rats in each group. The pathological changes of lung tissue of each group were observed by HE staining and the expressions of miR-155 in lung tissue of each group were measured by RT-PCR. The expressions of TNF-α, IL-6 and IL-1β in serum of each group were measured by ELISA.One-way ANOVA and LSD-t test were used for statistical analysis,and Pearson′s correlation analysis was used to evaluate the relationship between the levels of miR-155 and TNF-α,IL-6 and IL-1β. Results The expression of inflammatory cytokines TNF-α,IL-6 and IL-1β in P1 and P3 increased when compared with that in saline control group and blank-control group, and the amount of expression increased with the increase of the number of exposure and dose;the difference between groups was statistically sig-nificant(P<0.01).At the same time,with the increase of the dose and number of PM2.5,the inflammatory damage of lung tissue was enhanced.The expression of miR-155 in lung tissue also increased with the increase of the dose and number of PM 2.5,and it had significantly positive correlation with serum inflammatory cytokines(P<0.01),and had statistical significance. Conclusions The lung tissue of rats exposed to PM2.5 can produce inflammatory injury, and the damage is enhanced with the increase of exposure times and dose.The expression of miR-155 is positively correlated with inflammatory injury in rats.Consequently,miR-155 may participate in PM2.5-induced inflammatory lung injury in rats.

Objective:To propose a model using the maximum intensity projection (MIP) of lung field computed tomography (CT) images and deep convolution neural network (CNN) and explore its value in identifying chronic obstructive pulmonary disease (COPD).Methods:A total of 201 subjects were selected from the Second Hospital of Dalian Medical University from January 2010 to May 2021. All subjects were included according to the inclusion criteria and were divided into COPD group (101 cases) and healthy controls group (100 cases). Each patient underwent a high-resolution CT scan of the chest and pulmonary function test. First, the lung field was extracted from CT images and the intrapulmonary MIP images were acquired. Second, with these MIP images as input, the model for identifying COPD was constructed based on a modified residual network (ResNet). Finally, the influence of the number of residual blocks on the performance of the models was investigated. Accuracy, sensitivity, specificity, positive predictive value, negative predictive value, receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the identification efficiency.Results:The accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) of ResNet26 was 76.1%, 76.2%, 76.0%, 76.2%, and 76.0%, respectively; and the AUC of the test was 0.855 (95% CI: 0.799-0.901). The accuracy, sensitivity, specificity, PPV, NPV of ResNet50 was 77.6%, 76.2%, 79.0%, 78.6%, and 76.7%, respectively; and the AUC of the test was 0.854 (95% CI: 0.797-0.900). The accuracy, sensitivity, specificity, PPV, NPV of ResNet26d was 82.1%, 83.2%, 81.0%, 81.6%, and 82.7%, respectively; and the AUC of the test was 0.885 (95% CI: 0.830-0.926). Conclusions:The COPD identification model via MIP images from CT images within the lung and deep CNN is successfully constructed and achieves accurate COPD identification. And it can provide an effective tool for COPD screening.

Objective:To identify key genes and their potential biological mechanisms in the progression of non-alcoholic fatty liver disease (NAFLD) using bioinformatics technology.Methods:Genes differentially expressed in simple non-alcoholic fatty liver disease (NAFL) and non-alcoholic steatohepatitis (NASH) were analyzed by integrating NAFLD-related sequencing datasets GSE135251 and GSE167523 from the Gene Expression Omnibus (GEO) datebase. Gene Ontology (GO) functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome signaling pathway analysis were performed. Key genes were identified by STRING database and Cytoscape3.7.2 software, and the expression of key genes under different fibrosis grades and activity scores was observed. In addition, the expression of key genes in different cell clusters was observed based on the single-cell RNA-seq dataset of NAFLD mice.Results:Bioinformatics methods were used to obtain 97 common differential genes in NAFLD from two datasets. GO functional enrichment analysis was mainly performed in Extracellular Matrix (ECM) tissues. The main signaling pathway is ECM-receptor interaction. Five key genes were identified based on PPI network and Cytoscape software: COL1A1, THBS2, CXCL8, THY1 and LOXL1. The expression of key genes was significantly positively correlated with fibrosis grade and activity score, indicating that they were closely related to the progression of NAFLD. These key genes are highly expressed in hepatic stellate cells (HSCs) and natural killer/T cells (NK/T cells).Conclusion:In this study, bioinformatics technology was used to identify five key genes that may be involved in the NAFL-NASH transformation, suggesting that the ECM-receptor interaction signaling pathway may be a key molecular mechanism of NAFLD disease progression.

Objective To survey the prevalence of greenhouse farmer's lung and related risk factors in part of rural areas of Liaoning Province.Methods Using uniform scheme,procedures and questionnaire,a survey for 5420 farmers(2660 men and 2760 women)with complete data who work inside greenhouses was performed in Shenyang,Xinmin,Chaoyang,and Jinzhou between August 2006 and June 2009.Pulmonary function tests was performed for every active farmer.Results Greenhouse farmer's lung was diagnosed in 308 cases,205 men(66.55%,205/308)and 103 women(33.44%,103/308),a prevalence of 5.7%(308/5420).The prevalence rate of greenhouse farmer's lung in males was significantly higher than that in females(?2=39.93,P0.05).In the 308 cases,the number of patiernts presented with fever chill,cough/sputum,chest tightness/shortness of breath were 180(58.44%),192(62.34%),160(51.95%)respectively,and the number of crepitations,radiological changes,spirometry abnormalities and serum IgE antibodies(+)was 164(53.25%),153(49.68%),147(47.73%)and 136(44.16%)at the time of the study.62.34%(192/308)of patients with greenhouse farmer's lung were mild and 38.66%(116/308)were severe.Conclusion The total prevalence rate of greenhouse farmer's lung in part of rural areas of Liaoning Province was 5.7% and multiple risk factors were associated with the disease.