Objective To include patients with clinical data matched by propensity scores and to explore the value of 18F-fluorode-oxyglucose(18F-FDG)PET/CT metabolic parameters and radiomics in differentiating benign and malignant solitary pulmonary nod-ule(SPN).Methods A total of 54 patients with SPN(27 benign and 27 malignant)were retrospectively selected,all of them under-went 18F-FDG PET/CT scans.Then the metabolic parameters were analyzed,and the metabolic parameters model was established.After delineating the lesion,imaging features were selected through variance and correlation analysis.The logistic regression was used to build the model,and balance accuracy(bACC)was used to compare the performance of the models.The correlation between meta-bolic parameters and radiomics features was analyzed.Results The maximum standardized uptake value(SUVmax),total lesion uptake(TLU),and coefficient of variation(COV)of malignant were higher than those of benign(P＜0.05).SUVmax and COV had positive predictive value for malignant lesions[odds ratio(OR)＞1,P＜0.05].There was no statistical difference between the performance of the metabolic parameters model and the radiomics model(P＞0.05).There was a strong correlation between radiomics features and metabolic parameters.Conclusion After propensity score matching,metabolic parameters and radiomics show no statistical difference in differentiating benign from malignant SPN.

Objective To include patients with clinical data matched by propensity scores and to explore the value of 18F-fluorode-oxyglucose(18F-FDG)PET/CT metabolic parameters and radiomics in differentiating benign and malignant solitary pulmonary nod-ule(SPN).Methods A total of 54 patients with SPN(27 benign and 27 malignant)were retrospectively selected,all of them under-went 18F-FDG PET/CT scans.Then the metabolic parameters were analyzed,and the metabolic parameters model was established.After delineating the lesion,imaging features were selected through variance and correlation analysis.The logistic regression was used to build the model,and balance accuracy(bACC)was used to compare the performance of the models.The correlation between meta-bolic parameters and radiomics features was analyzed.Results The maximum standardized uptake value(SUVmax),total lesion uptake(TLU),and coefficient of variation(COV)of malignant were higher than those of benign(P＜0.05).SUVmax and COV had positive predictive value for malignant lesions[odds ratio(OR)＞1,P＜0.05].There was no statistical difference between the performance of the metabolic parameters model and the radiomics model(P＞0.05).There was a strong correlation between radiomics features and metabolic parameters.Conclusion After propensity score matching,metabolic parameters and radiomics show no statistical difference in differentiating benign from malignant SPN.

Our study investigated the host cell protein which can interact with SARS-CoV N protein, and explored the functional connections. The eukaryotic expression vectors pEGFP-N1/SARS-CoVN and pdsRed2-N1/ CXCL16 were constructed and used to co-transfect HEK293FT cells by the calcium phosphate method. The HIS-tagged fusion protein SARS-CoVN-GFP was then built and purified for the binding assay in vitro. The co-localization of SARS-CoVN and CXCL16 in the cytoplasm of HEK293FT cells was also shown using confocal laser scanning microscopy. It is suggested that their interaction might be through direct combination. Under a fluorescence microscope, it was observed that the purified fusion protein SARS-CoVN-GFP was attached to the cell membrane of CXCL16-transfected cells, indicating that SARS-CoVN and CXCL16 can be mutually combined.

15 SARS-CoV N Protein Interacting Protein (NPIP) were selected from host cells using Yeast Two-hybrid system (Y2H). These are Angiogenin, acyglycerol kinase, cytochrome oxydase subunit I, CXC chemokine ligand 16, epidermal growth factor receptor pathway substrate 15, glutathione S-transferase kappa 1,integrin beta 1, jun oncogene, NIMA (never in mitosis gene a)-related kinase 10, protein tyrosine kinase 2 beta,homo sapiens SH3KBP1 binding protein 1 and ubiquitin specific peptidase 53. With the aid of immunological co-precipitation (CO-IP), it was confirmed that chemokine CXCL16 was the interactor with SARS-CoV N protein in host cells.

Objective:To clone chickens MxA gene, construct its recombinant expression plasmid and induce the expression of fusion protein using a prokaryotic expression system.Methods:The MxA gene fragment was amplified by RT-PCR from CEF cells and subcloned into the pMD18-T vector, filtrated the positive clone and reclaimed the MxA.Subcloned the MxA into the prokaryotic expression plasmid pGEX-6p-1. After recombinant plasmid was induced by IPTG, the expressed proteins were analyzed by SDS-PAGE, the NDV intervence experiment and VSV-CEF restrain experiment.Results:The sequence of MxA gene amplified by RT-PCR was the same as the sequence in gene map of Genebank; SDS-PAGE, the NDV intervence experiment and VSV-CEF restrain experiment showed that a protein was expressed, the molecular weight of this protein was 45 000, which was the same as the fusion protein GST-MxA.Conclusion:The MxA is cloned and its recombinant expression plasmid is constructed successfully.The fusion protein GST-MxA is successfully expressed in the prokaryotic expression system E.coli DH5? induced by IPTG. This research lay a foundation for further studying on ints antiviral effects and exploring new way of antiviral medication.