Objective To explore the diagnostic value of CT radiomics combined with prothrombin induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)for hepatocellular carcinoma in the background of liver cirrhosis.Methods The clinical and CT imaging data of patients with liver cirrhosis were analyzed retrospectively.Hepatocellular carcinoma was observed in the observation group,and no hepatocellular carcinoma was found in the control group.Logistic regression was used to analyze the clinical factors of hepatocellular carcinoma and a Clinic model was constructed.Support vector machine(SVM)was used to construct the optimal feature model(Rad model).An artificial neural network model(Combine model)was built based on Softmax policy using Python3.6.Results The degree of liver cirrhosis,aspartate aminotransferase(AST),alpha-fetoprotein(AFP)and PIVKA-Ⅱ were independent factors for predicting hepatocellular carcinoma(P＜0.05).The sensitivity and specificity of the clinical logistic regression model were 73.15％and 68.34％,respectively.The SVM model was used to construct Radiomics score(Radscore)containing 7 optimal features,and there were significant differences between the two groups(P＜0.001).DeLong test showed that the area under the curve(AUC)of Combine model was significantly higher than that of Rad model and Clinic model(P＜0.05).The Hosmer-Lemeshow test showed that the Combine model agrees well.Decision curve analysis showed that the curves of Combine model were significantly higher than Clinic model,Rad model and the extreme curve.Conclusion The Combine model based on CT radiomics combined with clinical factors can accurately predict the occurrence of hepatocellular carcinoma in the background of liver cirrhosis.

Objective To explore the diagnostic value of CT radiomics combined with prothrombin induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)for hepatocellular carcinoma in the background of liver cirrhosis.Methods The clinical and CT imaging data of patients with liver cirrhosis were analyzed retrospectively.Hepatocellular carcinoma was observed in the observation group,and no hepatocellular carcinoma was found in the control group.Logistic regression was used to analyze the clinical factors of hepatocellular carcinoma and a Clinic model was constructed.Support vector machine(SVM)was used to construct the optimal feature model(Rad model).An artificial neural network model(Combine model)was built based on Softmax policy using Python3.6.Results The degree of liver cirrhosis,aspartate aminotransferase(AST),alpha-fetoprotein(AFP)and PIVKA-Ⅱ were independent factors for predicting hepatocellular carcinoma(P＜0.05).The sensitivity and specificity of the clinical logistic regression model were 73.15％and 68.34％,respectively.The SVM model was used to construct Radiomics score(Radscore)containing 7 optimal features,and there were significant differences between the two groups(P＜0.001).DeLong test showed that the area under the curve(AUC)of Combine model was significantly higher than that of Rad model and Clinic model(P＜0.05).The Hosmer-Lemeshow test showed that the Combine model agrees well.Decision curve analysis showed that the curves of Combine model were significantly higher than Clinic model,Rad model and the extreme curve.Conclusion The Combine model based on CT radiomics combined with clinical factors can accurately predict the occurrence of hepatocellular carcinoma in the background of liver cirrhosis.

The most prevalent kind of renal calculi,calcium oxalate(CaOx),is characterized by its propensi-ty for recurrence in the urinary system.The development of CaOx renal calculi is greatly affected by macrophage polariza-tion.Particular oxalate causes an imbalance in macrophage polarization,which skews the M1/M2 ratio and makes it easier for CaOx crystals to accumulate in the kidneys and grow into calcium plaques in the renal papilla.Notably,M2 macro-phages can prevent CaOx renal calculi by consuming crystals and reducing inflammatory stress.As a result,immunothera-peutic techniques that alter M1 and M2 macrophage polarization are extremely promising for preventing CaOx renal calcu-li.To clarify the respective roles of M1 and M2 macrophages in the formation of CaOx crystals and provide insights for de-veloping immunotherapeutic interventions against CaOx renal calculi,this review summarizes the mechanisms underlying macrophage polarization in the genesis of CaOx renal calculi.

BACKGROUND:Endothelial injury is one of the causes of cardiovascular diseases.Human induced pluripotent stem cells are easy to obtain,have strong differentiation ability,and have less exclusiveness,and their endothelial differentiated cells can be used as ideal cells for cardiovascular disease research. OBJECTIVE:To investigate the effect and mechanism of calycosin on endothelial differentiation of human induced pluripotent stem cells and to provide technical support for microvascular regeneration. METHODS:Human induced pluripotent stem cells were divided into control group and calycosin group(1.25,2.5 μg/mL),and growth factors were added to induce single-layer endothelial differentiation.After the induction of differentiation for 8 days,the positive rate of endothelial cell marker CD144 was detected by flow cytometry.Fluorescent expressions of CD144 and CD31 were detected by the immunofluorescence method.Lentivirus RNAi GFP puromycin was used to silence human-induced pluripotent stem cell Piezo1 mRNA followed by endothelial directed differentiation.After 8 days of differentiation,the positive rate of CD144 in differentiated cells was detected by flow cytometry.The mRNA expression levels of CD144,Piezo1 and MEK were detected by qPCR. RESULTS AND CONCLUSION:(1)Compared with the control group,the positive rate of CD144 was significantly increased in the 1.25 and 2.5 μg/mL calycosin groups(P<0.05).The expressions of CD144,Piezo1,and MEK mRNA were increased in the 2.5 μg/mL calycosin group(P<0.05).The fluorescence expressions of CD144(P<0.01)and CD31(P<0.001)were significantly increased in the 2.5 μg/mL calycosin group.(2)Compared with the shNT group,CD144 positive rate and CD144,Piezo1,MEK mRNA expressions were significantly increased in the shNT + calycosin 1.25,2.5 μg/mL groups(P<0.05).Compared with the shPiezo1 group,the positive rate of CD144 and mRNA expressions of CD144,Piezo1 and MEK had no significant changes in the shPiezo1+calycosin 1.25,2.5 μg/mL groups(P>0.05).(3)It is concluded that 2.5 μg/mL calycosin promotes the differentiation of human-induced pluripotent stem cells into endothelial lineages.Calycosin promotes the downstream MEK expression,thereby promoting the endothelial differentiation of human induced pluripotent stem cells by targeting the expression level of Piezo1.

Objective To evaluate the accuracy of confocal laser endomicroscopy (CLE)in primary bile reflux gastritis (BRG).Methods From November 10th to December 15th,2015 ,55 patients underwent CLE examination and preliminarily diagnosed as BRG with traditional white-light endoscopy were enrolled.CLE score standard was designed.Dixon pathologic score was considered as gold standard. Receiver operating characteristic (ROC)curve was drawn to evaluate the accuracy of CLE score in BRG diagnosis.Sensitivity,specificity and 95 % confidence interval (CI )were calculated.Kappa analysis was performed to assess the inter-observer agreement of CLE score.Results According to Dixon pathologic score standard,29 patients (52.7%)were diagnosed as primary BRG among the 55 enrolled patients. Among the 42 Helicobacter pylori (H .pylori )negative patients,the area under receiver operating characteristic curve (AUC)of CLE in BRG diagnosis was 0.90 (95 %CI 0.81 —1 .00).Taking CLE score over six as the cut-off value for diagnosis,the sensitivity and specificity was 84.00% (95 %CI 65 .35 %—93.60%)and 82.35 % (95 %CI 58.97%—93.81 %),respectively.The Kappa value for inter-observer agreement in BRG diagnosis was 0.60 (95 %CI 0.24—0.95).Conclusion Primary BRG can be accurately diagnosed by CLE in H .pylori negative patients with high sensitivity and specificity.

Objective To evaluate the effect and safety of thymosin combined with biapenem in the treatment of severe lower respiratory tract infection of gram negative bacilli.Methods 54 patients with severe lower respiratory tract infection of gram negative bacilli were randomly divided into study group (group A) and control group (group B),group A was treated with thymosin and biapenem,group B biapenem.All patients were treated for 7 ～ 14 days in a course.The clinical effect,treatment time of biapenem,the bacterial clearance rate and adverse drug reaction betweeen two groups were compared.Results The clinical effective rate of group A and B were 84.6％ and 82.1％,respectively,there was no statistical difference (P ＞ 0.05).Treatment time of biapenem in group A and B was (8.2 ±3.4) days and (13.2 ± 3.6) days,respectively,there was statistical difference (P ＜ 0.05).The bacterial clearance rate of group A and B were 86.7％ and 80.7％,respectively,there was no statistical difference between two groups (P ＞ 0.05).Conclusion The treatment time of thymosin combined with biapenem treatment of gram-negative bacilli severe respiratory tract infection was shorter than that of biapenem alone treatment,and it was safe,effective,and worthy of ciinical application.

AIM:To investigate the activation and inactivation of nuclear factor kappa B(NF-κB)when tumor necrosis factor-related apoptosis-inducing ligand(TRAIL)is applied to induce the apoptosis of androgen-independent prostate cancer cell line PC-3M.METHODS:After the treatment of TRAIL or LPS at different doses,we tested the nuclear translocation of NF-κB by cell immunohistochemical staining and electrophoretie mobility shift assay(EMSA),and evaluated the level of IκB by RT-PCR under pyrrolidine dithiocarbamate(PDTC)treatment.RESULTS:EMSA and cell immunohistochemical analysis showed that the translocation of NF-κB was significantly activated when PC-3M cells were treated with TRAIL or LPS(P＜0.05).The pretreatment of PDTC upregulated the expression of IκB and blocked the nuclear translocation of NF-κB.CONCLUSION:TRAIL remarkably stimulates the activation of nuclear NF-κB in androgen-independent prostate cancer cells.On the other hand,the translocation of NF-κB can be significantly and efficiently inhibited in PC-3M cells by pretreatment with PDTC.The increased expression of IκB might be a clue for this inhibition,which means the possible way to enhance the effect of TRAIL in the apoptosis of prostate cancer cells.