Objective:To investigate effects of short-term cigarette smoke exposure combined with poly(I:C)stimulation on lung immune response and interferon expression in mice.Methods:BALB/c mice were randomly divided into 4 groups:control group,smoke group,poly(I:C)group and smoke combined poly(I:C)group.Total cell number and cell classification count of bronchoalveo-lar lavage fluid(BALF)were detected,and cell morphology was observed under ordinary light.Cytokines,chemokines,interferon and interferon stimulating genes expressions in lung tissues were detected by fluorescence quantitative PCR.Results:Compared with control group,total cell count,macrophage count and neutrophil count in smoke combined poly(I:C)group were significantly increased(P<0.05),and macrophage count was higher than that in poly(I:C)group.Macrophages of airway lavage fluid of mice in smoke combined with poly(I:C)group were larger in size,round or irregular in shape,and had more vacuoles in cytoplasm.Com-pared with control group,mRNA expressions of neutrophil chemokine CXCL1(P<0.05),CXCL2(P<0.01)and lymphocyte chemo-kine CCL2(P<0.01)in lung tissues of mice in smoke combined with poly(I:C)group were increased.IL-1β,IL-6,TNF-α mRNA expressions were significantly increased(P<0.01),IFN-β(P<0.01),IFN-γ(P<0.05),MX2(P<0.01)and IP-10(P<0.01)expre-ssions in lung tissues were significantly increased,and compared with poly(I:C)group,mRNA expressions of CXCL2(P<0.05),TNF-α(P<0.01)and IFN-β(P<0.05)in lung tissues of mice in smoke combined with poly(I:C)group were significantly increased.Conclusion:Cigarette smoke combined with poly(I:C)induces lung inflammation and expressions of interferon and interferon stimu-lating genes in mice.Cigarette exposure also increases poly(I:C)-induced acute lung inflammation and type Ⅰ interferon expression in mice.

Objective:To know the clinical characteristics, seasonal pattern and influencing factors of atypical depression(AD) patients.Methods:A total of 203 depressed outpatients of Peking University Sixth Hospital from January 2021 to August 2021 were included.They were assessed with demographic questionnaire, inventory of depressive symptomatology self-report(IDS-SR30) and seasonal pattern assessment questionnaire(SPAQ). According the score of IDS-SR30, all patients were classified as atypical depression(AD) and non-atypical depression(non-AD). The data were analyzed by t-test, non-parametric test and Logistic regression using SPSS 26.0 software. Results:The prevalence of AD among depressed patients was 36.0% (95% CI=29.3%-42.6%). The IDS-30 score of the AD group was (41.59±10.59), and IDS-30 score of the non-AD group was (36.08±13.17), and the difference between the two groups was statistically significant ( t=3.062, P<0.05). The global seasonal score of the AD group was 6 (3, 9), and 17.8% of the AD group had seasonal pattren.The global seasonal score of the non-AD group was 5 (3, 8), and 14.6% of the non-AD group had seasonal pattern.There was no significant difference in the global seasonal score and the proportion of seasonal pattern between the two groups ( Z=0.389, χ2=0.359, P>0.05). Depression patients who were females ( β=1.08, OR=2.95, 95% CI=1.32-6.59, P<0.05), low self-evaluation ( β=0.82, OR=2.27, 95% CI=1.12-4.59, P<0.05)and psychomotor retardation ( β=0.93, OR=2.54, 95% CI=1.33-4.85, P<0.05) were more likely to be diagnosed as AD, and depression patients having mood variation ( β=-0.94, OR=0.39, 95% CI=0.19-0.81, P<0.05) were more likely to be diagnosed as non-AD. Conclusion:Women, low self-evaluation, psychomotor retardation and unobvious mood variation can predict and help to diagnose atypical depression in depressed patients.

Objective:To construct a quantitatively diagnostic nomogram model by analyzing the clinical information of patients and the features of multi-modality ultrasound images of thyroid lesions, so as to preoperatively predict the malignant probability of suspicious thyroid nodules and provide effective references for clinical decision-making.Methods:A total of 933 patients, 1 121 thyroid nodules of C-TIRADS 3-5 categories, who underwent surgery in the Second Affiliated Hospital of Harbin Medical University from September 1, 2020 to June 10, 2021 were collected. The nodules were randomly divided into training ( n=897) and test groups ( n=224) in 8∶2 ratio. Finally, the diagnostic performance was evaluated by area under the curve (AUC). Results:①After preliminary screening by univariate analysis, multivariate analysis showed that age, echogenicity, orientation, echogenic foci, margin, posterior features, and elastic score were significantly correlated with benign and malignant nodules (all P<0.001), and the difference of halo between benign and malignant nodules was also statistically significant ( P=0.012). ②The AUC of nomogram was up to 0.903(95% CI=0.862-0.944) in the test set, and 0.889(95% CI=0.832-0.946) and 0.960(95% CI=0.925-0.994) in nodules with maximum diameter of ≤10 mm and of >10 mm respectively, which showed high diagnostic performance. Conclusions:The nomogram model could accurately differentiate malignant from benign thyroid nodules preoperatively, with the highest diagnostic performance for the nodules with maximum diameter of >10 mm, and effectively avoid the unnecessary fine-needle biopsy and surgical operation.

Objective To investigate the value of F-actin autoantibodies in the serum of patients with systemic lupus erythematosus (SLE),and to explore the relationships between F-actin autoantibodies and other clinical indicators.Methods ELISA was established to detect serum levels of F-actin autoantibodies in 93 inpatients with SLE from March 2017 to January 2018 (case group,n=93),72 patients with rheumatoid arthritis (RA) (disease control group) and 83 healthy subjects (healthy control group) were included during the same period.The positive rates of F-actin autoantibodies between the case group and the two control group were compared.Clinical data including SLE disease activity index (SLEDAI),immuno-globulin (lg)G,erythrocyte sedimentation rate (ESR),anti-dsDNA,and antinuclear antibody (ANA) of 93 patients with SLE were collected and the correlation analysis between F-actin autoantibodies units was applied respectively.The diagnostic performance of F-actin autoantibodies in SLE was analyzed by using the receiver operating characteristic curve (ROC).T test,Chi-square test and Spearman/Pearson correlation analysis were applied for statistical analysis.Results The serum levels of F-actin autoantibodies in the SLE case group,disease control group,and healthy control group were (18±13),(12±6),and (11±5) U,respectively,the differences between SLE case group and disease control group,and healthy control group were significant (t=3.163,P=0.001 9;t=4.436,P＜0.01).The positive rates of F-actin autoantibodies were 33％(31/93) in patients with SLE,10％(7/72) in disease control group,and 4％(3/83) in healthy control group.The F-actin autoanti-bodies units in SLE were correlated with SLEDAI,IgG,ESR,anti-dsDNA,and ANA (r=0.273 7,P=0.008 3;r=0.558 7,P＜0.01;r=0.419 9,P=0.000 1,r=0.351 4,P=0.001 1,r=0.460 9,P＜0.01),in which F-actin autoantibodies units showed significant correlation with IgG and ANA.In the ROC curve,the area under the curve(AUC) was 0.62 [95％CI(0.54,0.70)],P=0.001 3.which was statistically significant.When the cut-off value of the F-actin autoantibodies was 14.04 U,the Youden's index (YI) was the largest (YI=0.30),and the sen-sitivity for the diagnosis of SLE was 0.77,the specificity was 0.53.Conclusion The positive rate of F-actin autoantibodies in the serum of patients with SLE is higher than that of RA and healthy controls,so it has certain diagnostic value for SLE.The F-actin autoantibodies units is correlated with both SLEDAI,ESR,and anti-dsDNA,suggesting that F-actin autoantibodies units may be a new biomarker for disease activity assessment of SLE patients.

Objective: To analyze the alterations and clinical significance of serum calcium binding protein S100A8/A9 and soluble receptor for advanced glycation end products (sRAGE) levels in patients with chronic obstructive pulmonary disease(COPD). Methods: Enzyme-linked immonosorbent assay was established to detect serum levels of S100A8/A9 and sRAGE in 203 patients with COPD[male166, female 37, aged 52-92 years, average years(69.72±9.079)] and in 41 smoking elderly non-COPD patients[male 35,female 6, aged 55-89 years, average years(68.66±8.74)], and 167 non-smoking healthy subjects as the control group[male 132, female 35, aged 57-92 years, average years(69.13±7.21)] from April 2018 to January 2019. The relationship between the S100A8/A9, sRAGE and clinical biomarkers [the percentage of fored expiratory volume in one second(FEV₁) in the predicted value, FEV₁/fored vital capacity(FVC), neutrophile granulocyte(NEU)%, pack-year] were investigated. The diagnostic value of S100A8/A9, sRAGE and their combined detection for COPD was analyzed using the subject operating characteristic curve. Results: The serum S100A8/A9 level [(2.70±1.11)μg/ml] in COPD patients was significantly higher than that in the smoking control group [(1.65±0.63) μg/ml] and the non-smoking control group[(0.99±0.48)μg/ml], t=5.807, P<0.000 1; t=18.45, P<0.000 1. The serum S100A8/A9 levels in patients with COPD[GOLD Ⅰ(2.08±1.08) μg/ml, GOLDⅡ (2.58±1.06) μg/ml, GOLD Ⅲ (2.69±1.12) μg/ml, GOLDⅣ (2.95±1.10)μg/ml] were significantly higher than the non-smoking control group(0.99±0.48)μg/ml, t=6.616, P<0.000 1; t=14.56, P<0.000 1; t=17.10, P<0.000 1; t=18.09, P<0.000 1.The serum sRAGE level [(0.29±0.25)ng/ml] in COPD patients was significantly higher than that in the smoking control group[(0.60±0.24)ng/ml] and the non-smoking control group[(0.85±0.35)ng/ml], t=7.367, P<0.000 1; t=18.14, P<0.000 1. The serum sRAGE levels in patients with COPD[GOLD Ⅰ(0.46±0.40),GOLDⅡ (0.28±0.25),GOLD Ⅲ (0.29±0.25),GOLD Ⅳ (0.25±0.19)ng/ml] were significantly lower compared with non-smoking control group[(0.85±0.35)ng/ml], t=3.459, P=0.000 5; t=10.23, P<0.000 1; t=13.95, P<0.000 1; t=11.70, P<0.000 1. Serum S100A8/A9 levels were positively correlated with smoking amount and NEU% (r=0.458 5, P<0.000 1; r=0.228 3, P=0.001 1), negatively correlated with FEV₁/FVC, the percentage of FEV₁ in the predicted value, and sRAGE(r=-0.190 6, P=0.006 4; r=-0.186 3, P=0.007 8; r=-0.201 7, P=0.003 9). sRAGE levels were negatively correlated with NEU% (r=-0.155 9, P=0.026 4). In the ROC curve, the area under the curve of S100A8/A9, sRAGE and combined detection were 0.922[95%CI(0.897-0.947)], 0.926[95%CI(0.899-0.952)]and 0.966 [95%CI(0.950-0.983)], respectively. Conclusion S100A8/A9 and sRAGE are closely correlated with the degree of airflow constrains and the levels of serum inflammatory mediators, which are expected to be as potential biomarkers of COPD.