AIM: To construct an eukaryotic expression vector of human single-chain variable fragment ~against hepatitis B virus core protein (anti-HBc ScFv) and detect its expression in HepG2 cells. METHODS: Anti-HBc ScFv genes were amplified from the plasmids abstracted from positive clone and inserted into pEGFP-c1 vector that contained green fluorescent protein gene. The recombinant plasmids were transfected into HepG2 cells, and resistant clones were obtained by G418 selection. The expression of the gene of fusion protein was determined by fluorescent invert microscope and ELISA. RESULTS: Recombinant plasmids were successfully constructed. The plasmid transfected HepG2 cells were obtained by G418 selection. Specific fluorescence was observed in HepG2 cells 48 hours after transfection. ELISA analysis confirmed the expression of anti-HBc ScFv in the cells. CONCLUSION: The construction of human anti-HBc ScFv eukaryotic expression vector and its expression in HepG2 cells lay the foundation for advanced research of intracellular anti-HBc ScFv.

Objective: To study the influencing factors of fracture nonunion after intramedullary nailing for subtrochanteric fracture and construct a risk assessment model. Methods: A retrospective analysis was performed on 251 patients with intramedullary nail fractures of the femoral subtrochanteric fracture from February 2006 to January 2018. According to the different treatment time, the 251 patients included in this study were divided into the modeling group and the verification group. In the modeling group, postoperative fracture nonunion rate, general data, fracture related factors, surgical reduction related factors, mechanical and biological factors were calculated, and the influencing factors of fracture nonunion were screened by univariate analysis. Indicators with statistical differences in univariate analysis were analyzed using Logistic regression model for multivariate analysis to build the risk assessment model. The influencing factors were re-evaluated through the verification group, and the differentiation and calibration of the model were evaluated. Results: Fracture nonunion occurred in 34 of 149 patients in the modeling group. Among the 13 potential influencing factors, univariate analysis and logistic regression analysis showed that postoperative hip varus, intramedullary nail fixation failure and complete open reduction were the risk factors of fracture nonunion. Postoperative reduction of medial cortex was a protective factor for fracture nonunion, and a regression equation was established. Based on the logistic regression model, the Nomogram diagram was drawn. In the verification group, fracture nonunion occurred in 24 of 149 patients. The area under the ROC curve was AUC=0.883>0.7, indicating that there was a moderate differentiation to evaluate the occurrence of fracture nonunion after operation. The goodness of fit test: the H-L test (χ²=2.921, P=0.712) showed that the model had a good calibration. Conclusion The risk factors of fracture nonunion were hip varus, failure of intramedullary nail fixation and complete open reduction after intramedullary nailing of subtrochanteric fracture, and postoperative reduction of medial cortex was the protective factor. The risk assessment model has moderate differentiation and good calibration, which can provide reference for the risk assessment of fracture nonunion after subtrochanteric fracture operation.

OBJECTIVE: To determine the role of extracellular signal regulated kinase (ERK) signaling pathway in SiO₂ induced epithelial-mesenchymal transition (EMT) in human bronchial epithelial cells (HBEC) in vitro. METHODS: HBEC were treated with SiO₂ (0-300 μg/mL) for 72 h or pretreated with U0126 (0-30 μmol/L) for 1 h and then treated with 200 μg/mL SiO₂ for 72 h. Western blot was used to detect the protein expression of E-cadherin and α-smooth muscle actin (α-SMA). The activity of ERK was examined by mitogen-activated protein kinase (MAPK) activity assay kit in HBEC exposing to SiO₂ (200 μg/mL) for 0-8 h. RESULTS: The expression of E-cadherin decreased gradually in SiO₂ -stimulated HBEC, and the effect was most significant at 300 μg/mL (P<0.01). The expression of α-SMA increased and the effect was most evident at 200 μg/mL (P<0.01). With SiO₂ treatment, the activity of ERK was upregulated significantly. The phosphorylation of ERK increased at 30 min and decreased after 1 h. U0126 significantly inhibited SiO₂ -induced expression changes in E-cadherin and α-SMA. At 30 μmol/L, the effect was most evident(P<0.01). CONCLUSION ERK signaling pathway mediated EMT induced by SiO₂ in HBEC.
Actins ; metabolism ; Bronchi ; cytology ; Cadherins ; metabolism ; Cell Transdifferentiation ; drug effects ; Cells, Cultured ; Epithelial Cells ; cytology ; physiology ; Epithelial-Mesenchymal Transition ; Humans ; MAP Kinase Signaling System ; physiology ; Mitogen-Activated Protein Kinases ; metabolism ; Silicon Dioxide ; pharmacology

Objective To investigate arterial endothelial dysfunction in stable chronic obstructive pulmonary disease (COPD) patients and the correlation between the degree of endothelial dysfunction and the severity of COPD.Methods Forty stable COPD patients were enrolled in a COPD group and 30 non-COPD individuals in a control group.The endothelium-dependent flow-mediated vasodilatation (FMD) of the brachial artery and serum eNO value were measured in both groups.Forced expiratory volume in 1 second (FEV1)/prediction of FEV1 was determined and expressed as FEV1 (％ pred).Results The mean FMD was significantly lower in the COPD group (11.21±5.19) ％ than in the control group (19.86±5.24)％ (t=6.090,P=0.001).The Pearson's correlation analysis showed FMD was positively correlated with FEV1 (％pred) in COPD patients (r=0.440,P＜0.05).The mean serum eNO level in the COPD group (108.58 ± 42.22) μmol/L was significantly lower than in the control group (151.17 ± 97.40)μmol/L (t =2.242,P =0.039).Conclusions The endothelium-dependent flow-mediated vasodilatation is significantly impaired in stable COPD patients,and the degree of impairment is proportional to the FEV1 (％ prediction of FEV1) in COPD patients.

Objective:To investigate the effects of antibiotic treatment and antibiotics combined with surgery treatment on the prognosis of patients with infective endocarditis (IE).Methods:The clinical data and prognosis of all patients diagnosed as IE discharged from Shanghai Jiao Tong University Affiliated Sixth People′s Hospital from June 2011 to May 2021 were collected. There were 240 IE patients, divided into antibiotic treatment group and the antibiotics combined with surgery group according to the treatment methods. The clinical characteristics and prognosis of the IE patients were compared between the two groups, so as to investigate the timing of surgery for IE patients and to analyze the effects of the two treatment methods on the prognosis of IE patients.Statistical analysis methods including Wilcoxon rank sum test, chi-square test, Kaplan-Meier survival analysis and Cox regression analysis were used when appropriate.Results:Of the 240 patients with IE, 63 cases were only treated with antibiotics and 177 cases were treated with antibiotics combined with surgery. After propensity score matching (PSM), one-year mortality rate of the IE patients in the antibiotics combined with surgery group was 11.1%(4/36), which was significantly lower than that in the antibiotic treatment group (33.3%(12/36), χ2=5.14, P=0.023). The median values of left ventricular ejection fraction (LVEF), left ventricular end diastolic diameter (LVEDD) and left ventricular fractional shortening (LVFS) in the antibiotics combined with surgery group were 59%, 47 mm and 31%, respectively, which were significantly lower than those before surgery (63%, 54 mm and 34%, respectively, Z=6.19, 9.36 and 6.11, respectively, all P<0.001). The most common surgical indication was moderate to severe heart failure, and there was no significant difference between the early operation group and the late operation group (both P>0.050). The one-year cumulative survival rate of antibiotics combined with surgery group was 94.9%, which was significantly higher than that in the antibiotic treatment group (83.2%, χ2=7.38, P=0.007). Heart failure and Pitt bacteremia scores≥4 were the independent risk factors for one-year all-cause death of the IE patients (hazard ratio ( HR)=5.668 and 19.392, respectively, both P<0.050). Hospital days and antibiotics combined with surgery were independent related factors for reducing the risks of one-year all-cause death ( HR=0.931 and 0.299, respectively, both P<0.050). Pitt bacteremia scores≥4 had the greatest impact on one-year prognosis of the IE patients. Conclusions:Surgery could significantly improve cardiac function and one-year prognosis of the IE patients. IE patients with heart failure and Pitt bacteremia score≥4 should be actively treated.

OBJECTIVE: To investigate the expression of fibroblast growth factor-2 (FGF-2) and osteopontin (OPN) in non-small cell lung cancer (NSCLC) tissues and analyze the correlation between FGF-2 and OPN. METHODS: Immunohistochemical SP method was used to detect the expression of FGF-2 and OPN in 76 patients with NSCLC and 15 normal lung tissues. The effect of FGF-2 on OPN expression at mRNA and protein level in A549 cell was examined by RT-PCR and Western blot. RESULTS: The positive expression of FGF-2 (65.8%) and OPN (60.5%) in the NSCLC tissues was significantly higher than that in the normal lung tissues (13.3% and 0, respectively ) (P<0.01). The expression of FGF-2 and OPN was closely related to TNM stages and the lymph node metastasis (all Ps<0.01), but not to histological types, sex, and age of NSCLC patients (all Ps>0.05).A positive correlation was found between the expression of FGF-2 and OPN in NSCLC (r=0.552,P<0.01). The expression of OPN protein and mRNA was up-regulated by FGF-2 in A549 cells. CONCLUSION The overexpression of FGF-2 and OPN is related to the metastasis and invasion of NSCLC.FGF-2 may promote the metastasis and invasion of NSCLC depending on the upregulation of OPN expression.
Adult ; Aged ; Carcinoma, Non-Small-Cell Lung ; metabolism ; pathology ; Female ; Fibroblast Growth Factor 2 ; genetics ; metabolism ; Humans ; Lung Neoplasms ; metabolism ; pathology ; Male ; Middle Aged ; Neoplasm Metastasis ; Osteopontin ; genetics ; metabolism ; RNA, Messenger ; genetics ; metabolism

Purpose: Prostate cancer (PCa) is an epithelial malignancy that originates in the prostate gland and is generally categorized into low, intermediate, and high-risk groups. The primary diagnostic indicator for PCa is the measurement of serum prostate-specific antigen (PSA) values. However, reliance on PSA levels can result in false positives, leading to unnecessary biopsies and an increased risk of invasive injuries. Therefore, it is imperative to develop an efficient and accurate method for PCa risk stratification. Many recent studies on PCa risk stratification based on clinical data have employed a binary classification, distinguishing between low to intermediate and high risk. In this paper, we propose a novel machine learning (ML) approach utilizing a stacking learning strategy for predicting the tripartite risk stratification of PCa. Methods: Clinical records, featuring attributes selected using the lasso method, were utilized with 5 ML classifiers. The outputs of these classifiers underwent transformation by various nonlinear transformers and were then concatenated with the lasso-selected features, resulting in a set of new features. A stacking learning strategy, integrating different ML classifiers, was developed based on these new features. Results: Our proposed approach demonstrated superior performance, achieving an accuracy of 0.83 and an area under the receiver operating characteristic curve value of 0.88 in a dataset comprising 197 PCa patients with 42 clinical characteristics. Conclusions This study aimed to improve clinicians’ ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.

Objective To investigate the role of lncRNA SNHG1 in homocysteine-induced pyroptosis of podocyte.Methods Cbs+/-mice were randomly divided into two groups:a normal diet group(ND)and a high me-thionine diet group(HMD).Western blotting was used to detect the protein expression levels of Caspase-1,Cleaved Caspase-1,and NLRP3.Mouse renal glomerular podocytes were cultured in vitro,and then assigned into a control group(Control,0 μmol/L Hcy)and a homocysteine intervention group(Hcy,80 μmol/L Hcy).Western blotting was used to detect the protein expression levels of Caspase-1,Cleaved Caspase-1,and NLRP3.Mouse renal glomerular podocyion group(OE-NC + Hcy)and the lncSNHG1 overexpression + homocysteine intervention group(OE-SNHG1 + Hcy)were also established.After 48 hours of intervention,Real-time fluorescence quantita-tive PCR was used to detect the expression of lncSNHG1 in podocytes after Hcy intervention.Western blot was used to detect the expressions of Caspase-1,Cleaved Caspase-3 and NLRP3.Immunofluorescence was used to de-tect the expression levels of GSDMD and GSDMD-N.ELISA was used to detect the contents of IL-1β and IL-18.Results(1)In the animal experiments,the expression levels of pyroptosis-related proteins Caspase-1,Cleaved Caspase-1,NLRP3,GSDMD,and GSDMD-N were all increased in the HMD group compared with the ND group.(2)In the cellular experiments,the expression levels of Caspase-1,Cleaved Caspase-1,NLRP3,GSDMD,and GSDMD-N were all increased in the Hcy group compared with the Control group,and the contents of pyroptosis-mediated inflammatory factors IL-1β and IL-18 were increased as well.(3)In the cellular experiments,the expres-sion of lncSNHG1 was increased in the Hcy group compared with the control group.After transduction with lnc-SNHG1 lentivirus,the expression of lncSNHG1 was increased in the OE-SNHG1 group,compared with the control group and the OE-NC group.(4)In the cellular experiments,the expressions of pyroptosis-related proteins Cas-pase-1,Cleaved Caspase-1,NLRP3,GSDMD,and GSDMD-N were increased compared with the OE-NC+Hcy group,and the contents of pyroptosis-mediated inflammatory factors IL-1β and IL-18 were increased in the OE-SNHG1+Hcy group.Conclusion These results indicate that lncSNHG1 may play a role in promoting Hcy induced podocytepyroptosis.

Objective:Childhood traumatic experiences greatly influenced the brain network activities of patients with depression,and there is an urgent need to explore the temporal dynamics for these changes.This study aims to investigate the abnormalities of resting-state electroencephalogram(EEG)microstates in eye-open state of depressed adolescents and to explore the correlations between their EEG microstates and the childhood traumatic experience. Methods:Using resting-state EEG microstate analysis,we explored the temporal dynamics of brain activity in patients with adolescent depression.This study selected 66 adolescents with depression as a patient group,and 27 healthy adolescents as a healthy control group.A modified k-means clustering algorithm was used to classify the 64-channel resting-state EEG data into different microstates.Independent sample t-tests were used to compare the microstate parameters between the 2 groups and further assciations between these parameters and childhood traumatic experience in patients were explored via using Spearman correlation. Results:In this study,significant differences were observed in the occurrence and transition probabilities of EEG microstates between the healthy control and the patient group.Notably,there was a statistically significant difference(P＜0.05)in the occurrence of microstate A across 2 groups,exhibiting a negative correlation with the emotional abuse component within the childhood trauma scores(Spearman's rho=-0.31,P=0.013).Furthermore,patient-specific,non-random transitions from microstate B to A(Spearman's rho=-0.30,P=0.015)and C to A(Spearman's rho=-0.31,P=0.013)were inversely associated with the scores of emotional abuse factors from childhood trauma in the patient group,showing statistically significant differences when comparing to the healthy controls(P＜0.05).Upon stratification into quartiles based on the emotional abuse factor scores,the occurrence of microstate A,as well as the transition rates from microstates B to A and C to A,retained statistical significance following adjustment for multiple comparisons(all P＜0.05). Conclusion:The abnormal temporal dynamics in brain networks of adolescents with depression are linked to childhood emotional abuse.Those who have suffered severe emotional abuse may show greater impairments in the brain's visual and central executive networks.EEG microstate analysis could be a potential tool for detecting adolescent depression with severe childhood trauma.

The correct differentiation of oligodendrocyte precursor cells (OPCs) is essential for the myelination and remyelination processes in the central nervous system. Determining the regulatory mechanism is fundamental to the treatment of demyelinating diseases. By analyzing the RNA sequencing data of different neural cells, we found that cyclin-dependent kinase 18 (CDK18) is exclusively expressed in oligodendrocytes. In vivo studies showed that the expression level of CDK18 gradually increased along with myelin formation during development and in the remyelination phase in a lysophosphatidylcholine-induced demyelination model, and was distinctively highly expressed in oligodendrocytes. In vitro overexpression and interference experiments revealed that CDK18 directly promotes the differentiation of OPCs, without affecting their proliferation or apoptosis. Mechanistically, CDK18 activated the RAS/mitogen-activated protein kinase kinase 1/extracellular signal-regulated kinase pathway, thus promoting OPC differentiation. The results of the present study suggest that CDK18 is a promising cell-type specific target to treat demyelinating disease.