Aim To explore the potential genes and mechanism of alisol B in the treatment of non-small cell lung cancer(NSCLC).Methods The proliferation and migration of NSCLC cells were detected by CCK-8 and Transwell.Genes of NSCLC and alisol B were col-lected through TCGA and compound gene prediction database,and their intersection genes were obtained.The network of protein-protein interaction(PPI)was constructed by using String database,and the top 20 key nodes were screened out,and the prognosis-related proteins related to the prognosis of NSCLC were screened out by using R language,and the intersection of them was obtained.The potential mechanism of ali-sol B on NSCLC was explored by KEGG and GO en-richment analysis and the relationship between related genes and immune cells,which was verified by cell-lev-el experiments.Results Alisol B inhibited the cell activity and migration ability of NSCLC cells.Five im-portant genes were identified by network pharmacologi-cal analysis:CCNE1,CDK1,COL1A1,COL1A2 and COL3A1.The results of cell experiment showed that al-isol B down-regulated the expression of Cyclin E1,CDK1 and COL1A2 in NSCLC cells.In addition,alisol B could inhibit the expression of COL1A2 and M2 macrophage marker CD206 in macrophages.Conclu-sions Alisol B may inhibit the proliferation of tumor cells by down-regulating CDK1 and Cyclin E1,and may affect the function of macrophages by inhibiting COL1A2,thus regulating the tumor immune microenvi-ronment and inhibiting NSCLC.

Objective:To explore the optimal storage condition and time of umbilical cord blood from collection to preparation.Methods:Collect cord blood samples from 30 healthy newborns,with each new born's umbilical cord blood was divided into two parts on average.One part was stored in cold storage(4 ℃)and the other was stored at room temperature(20-24 ℃).Samples were taken at 24,36,48,60 and 72 h,respectively,total nucleated cells(TNC)count and TNC viability was analyzed.Flow cytometry was used to detect the ratio of viable CD34+cells to viable CD45+cells and viability of CD34+cells,and colony-forming unit-granulocyte-macrophage(CFU-GM)count was performed by hematopoietic progenitor cell colony culture.The change trend of each index over time was observed,and the differences in each index was compared between cold storage and room temperature storage under the same storage time.Results:The TNC count(r4℃=-0.9588,r20-24℃=-0.9790),TNC viability(r4℃=-0.9941,r20 24 ℃=-0.9970),CD34+cells viability(r4℃=-0.9932,r20-24℃=-0.9828)of cord blood stored in cold storage(4 ℃)and room temperature storage(20-24 ℃)showed a consistent downward trend with the prolongation of storage time.The percentage of viable CD34+cells(r4℃=0.9169,r20-24 ℃=0.7470)and CFU-GM count(r4℃=-0.2537,r20-24℃=-0.8098)did not show consistent trends.When the storage time was the same,the TNC count,TNC viability,CD34+cells viability and CFU-GM count of cord blood stored in cold storage were higher than those stored at room temperature.Under the same storage time(24,36,48,60 or 72 h),TNC viability in room temperature storage was significantly lower than that in cold storage(P＜0.001),but TNC count,percentage of viable CD34+cells and CFU-GM count were not significantly different between room temperature storage and cold storage.When stored at room temperature for 24 h and 36 h,the viability of CD34+cells was significantly lower than that in cold storage(P＜0.001,P＜0.01),when the storage time for 48,60 and 72 h,there was no significant difference in the CD34+cells viability between room temperature storage and cold storage.Conclusion:It is recommended that cord blood be stored in cold storage(4 ℃)from collection to preparation,and processed as soon as possible.

The basic situation of the digital operating room in some hospital was introduced,and the necessity and requirements for the modification of the digital operating room were described.The overall structure and signal transmission and control mode were expounded for the modified digital operating room based on hospital LAN.The configuration schemes and application effects of the digital operating room before and after the modification were compared.It's pointed out that the modified digital operating room provided a convenient clinical environment and enhanced the quality of surgical relay and academic conferences while improving the working efficiency.References were given for the construction of digital operating rooms of other hospitals.[Chinese Medical Equipment Journal,2024,45(4):93-97]

ObjectiveTo investigate the application value of liver/spleen CT value （CT_L/S）， controlled attenuation parameter （CAP）， and magnetic resonance imaging-proton density fat fraction （MRI-PDFF） in chronic hepatitis B （CHB） patients with hepatic steatosis. MethodsA retrospective analysis was performed for the clinical data of 213 CHB patients who underwent liver CT， CAP， and MRI-PDFF examinations in Affiliated Hospital of Yan’an University from October 2018 to December 2022. According to MRI-PDFF， the 213 patients were divided into CHB group with 111 patients （MRI-PDFF<5%） and CHB+hepatic steatosis group with 102 patients （MRI-PDFF≥5%）， among whom there were 69 patients with mild hepatic steatosis and 33 patients with moderate to severe hepatic steatosis. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups. The Bland-Altman plot was used to evaluate the consistency in MRI-PDFF measurement between two physicians. The Spearman’s correlation coefficient was used to analyze the correlation between CT_L/S and MRI-PDFF and between CAP and MRI-PDFF. The receiver operating characteristic （ROC） curve was plotted and the area under the ROC curve （AUC） was calculated to investigate the value of CT_L/S and CAP in the diagnosis of different degrees of hepatic steatosis， and the DeLong test was used to compare the AUCs of the two radiological examinations. ResultsMRI-PDFF had relatively high repeatability and stability in CHB patients. There is a significant negative correlation between CT_L/S and MRI-PDFF （r=-0.800， P<0.001） and a significant positive correlation between CAP and MRI-PDFF （r=0.692， P<0.001）. Both CT_L/S and CAP had a relatively high accuracy in the diagnosis of hepatic steatosis in CHB patients， with an AUC of 0.951 and 0.902， respectively， and CT_L/S had a better accuracy than CAP （P<0.05）. In the diagnosis of mild and moderate-to-severe hepatic steatosis， CT_L/S had an AUC of 0.921 and 0.895， respectively， and CAP had an AUC of 0.859 and 0.825， respectively， suggesting that CT_L/S had a slightly higher diagnostic efficiency than CAP. ConclusionMRI-PDFF has high repeatability and stability in CHB patients， and CT_L/S and CAP have a high diagnostic value for different degrees of hepatic steatosis in CHB patients.

Objective To explore the relationship between serum ferritin levels and body fat distribution in patients with type 2 diabetes mellitus(T2DM).Methods A retrospective analysis was conducted on 151 patients with T2DM who were hospitalized in the Department of Endocrinology of the First Hospital of Lanzhou University from June to November 2020,and all the patients were divided into high serum ferritin(n=50)and normal serum ferritin(n=101)groups according to their serum ferritin levels.The visceral fat area(VFA),subcutaneous fat area(SFA),liver fat,height,weight and waist circumference(WC)were measured,as well as blood glucose,lipid indexes,body mass index(BMI)and visceral adiposity index(VAI)were also calculated.t-test or nonparametric test was used to compare the differences between the two groups,and the relationship between serum ferritin levels and body fat distribution was analyzed by Pearson or Spearman correlation analysis,multiple linear regression and logistic regression.Results The VAI and WC were significantly higher in high serum ferritin group[3.13(2.16,4.58)and(96.66±7.78)cm]than in normal serum ferritin group[2.66(1.66,3.81)and(91.96±9.75)cm,P<0.05].The prevalence of central obesity and dyslipidemia was higher in high serum ferritin group(88.0%and 90.0%)than in normal serum ferritin group(68.3%and 75.2%);and the composition ratios of poor glycemic control and insulin resistance(96.0%and 62.0%)were also higher than in normal serum ferritin group(78.2%and 40.6%)(P<0.05),there were no statistically significant differences in BMI,VFA,and SFA levels,as well as antidiabetic drug use and chronic complications of diabetes mellitus between the two groups(P>0.05).Serum ferritin levels in T2DM patients were positively correlated with VAI,WC,triglyceride(TG),fasting blood glucose(FPG),HbA1c,dyslipidemia and serum creatinine(r=0.171,0.207,0.187,0.243,0.270,0.162,0.162;P<0.05),and negatively correlated with age,sex and diabetes course(r=-0.191,-0.434,-0.352;P<0.05).Multivariate linear regression analysis showed that in male T2DM patients,duration of diabetes and FPG were risk factors for increased levels of serum ferritin.However,WC and VAI did not significantly affect serum ferritin levels.In female patients with T2DM,the course of diabetes,TG and VAI were the factors influencing serum ferritin(P<0.05).Conclusion Dyslipidemia and visceral fat accumulation are risk factors for elevated serum ferritin levels in female T 2DM patients.

The deubiquitinases (DUBs), as the crucial peptidohydrolases in the ubiquitin system, can reverse and strictly regulate ubiquitination and play key roles in various biological processes, including the regulation of protein stability, cell signal transduction. Ubiquitin-specific protease 28 (USP28) involves multiple cancer-related signaling pathways by enhancing the stability of various cancer-related proteins, and is closely associated with the progression of colorectal, breast cancer, lung carcinomas, and pancreatic cancer. USP28 has been considered as a promising drug target in anticancer therapy, and the development of USP28 inhibitors has made some progress. In this article, we review the structure of USP28 and its interaction with substrates, discuss the research progress of USP28 in cancers and summarize the development of USP28 inhibitors.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective: To investigate the current situation of job involvement of nurses in military hospitals in Henan Province and analyze the influencing factors, so as to provide reference for improving the level of job involvement of military nurses. Methods: In February 2022, the employed nurses of 4 military hospitals in Henan Province were investigated by convenient sampling method. A total of 663 questionnaires were collected, including 632 valid questionnaires, with an effective recovery rate of 95.32%. The self-designed questionnaire was used to investigate the basic information of nurses, the Job Involvement Scale was used to investigate the job involvement of nurses, the Emotional Labor Scale for Nurses was used to investigate nurses' emotions, and the Work-Family Conflict Scale was used to investigate the work-family conflict of nurses. Independent sample t-test and univariate analysis of variance were used to compare the job involvement of military employed nurses with different demographic characteristics, Pearson correlation analysis was used to explore the correlation between emotional labor, work-family conflict and job involvement, and hierarchical regression analysis was used to explore the impact of relevant variables on the job involvement of military employed nurses. Results: The total average score of job involvement of military employed nurses was (3.68±1.13), and the scores of vitality, dedication and focus were (3.64±1.15), (3.74±1.25) and (3.67±1.21) respectively. The total score of emotional labor of nurses was 33-80 (62.95±8.12), with an average score of (3.93±0.51). The total score of work-family conflict was 18-94 (55.16±13.53), with an average score of (3.06±0.75). Professional emotional regulation, patient-centered emotional inhibition and standardized emotional play were positively related to the job involvement (r=0.46, 0.41, 0.22, P<0.01). Time-based conflict, stress-based conflict and behavior-based conflict had negative correlation with the job involvement (r=-0.12, -0.23, -0.20, P<0.01). In hierarchical regression analysis, after controlling demographic variables, emotional labor and work-family conflict accounted for 17.2% and 4.2% of the variation of job involvement. Conclusion: The job involvement of military employed nurses tends to be at a moderate level. Emotional labor and work-family conflict can significantly affect their job involvement.
United States ; Humans ; Hospitals, Military ; Family Conflict ; Surveys and Questionnaires ; Regression Analysis ; Nurses ; Job Satisfaction

Objective To investigate the value of liver/muscle ratio (LMR) on susceptibility-weighted imaging (SWI) and serum markers in the diagnosis of the severity of chronic hepatitis B liver fibrosis after grouping based on alanine aminotransferase (ALT) level. Methods A retrospective analysis was performed for 255 patients with chronic hepatitis B who attended Affiliated Hospital of Yan'an University from October 2018 to September 2021, and the patients were divided into severe liver fibrosis group (SLF group) and non-severe liver fibrosis group (non-SLF group). The SLF group was defined as liver stiffness measurement (LSM) > 9.0 kPa and ALT level within the normal range or LSM > 12.0 kPa and ALT level greater than 1-5 times of the upper limit of normal. LMR was calculated by measuring the mean SWI value of the liver (SWI liver ) and the signal intensity of the erector spinae. The t -test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two group; the chi-square test was used for comparison of categorical data between two groups. The binary logistic regression analysis was used to investigate the influencing factors for SLF. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic performance of LMR and its combination with serum markers, and the DeLong test was used to compare the difference in the area under the ROC curve (AUC). Results Compared with the non-SLF group, the SLF group had significantly higher ALT ( Z =-3.569, P < 0.001), aspartate aminotransferase (AST) ( Z =-5.495, P < 0.001), hyaluronic acid (HA) ( Z =-6.746, P < 0.001), laminin (LN) ( Z =-5.459, P < 0.001), type Ⅳ collagen (Ⅳ-C)( Z =-8.470, P < 0.001), type Ⅲ procollagen (PCⅢ) ( Z =-6.326, P < 0.001), aspartate aminotransferase-to-platelet ratio index ( Z =-9.004, P < 0.001), and FIB-4 ( Z =-8.357, P < 0.001) and significantly lower prothrombin time activity (PTA) ( t =10.088, P < 0.001), platelet count ( t =9.163, P < 0.001), SWI liver ( t =2.347, P =0.02), and LMR×10 ( Z =-4.447, P < 0.001). PTA, HA, Ⅳ-C, and LMR×10 were independent influencing factors for SLF. LMR×10 had an AUC of 0.675 (95% confidence interval [ CI ]: 0.614-0.732) in the diagnosis of SLF, which was significantly higher than that of SWI liver (AUC=0.594, 95% CI : 0.531-0.655) ( Z =3.984, P < 0.001). PTA+HA+Ⅳ-C+LMR×10 and PTA+HA+Ⅳ-C had an AUC of 0.937 (95% CI : 0.896-0.966) and 0.905 (95% CI : 0.858-0.941), respectively, suggesting that PTA+HA+Ⅳ-C+LMR×10 had a better diagnostic performance than PTA+HA+Ⅳ-C ( Z =2.228, P =0.026). Conclusion LMR and serum markers can accurately distinguish SLF after grouping based on ALT level. LMR is a quantitative and objective imaging indicator and is better than SWI liver , and it can also improve the diagnostic performance of serum markers for SLF in clinical practice.

Child ; Humans ; Inflammatory Bowel Diseases ; Organic Anion Transporters/genetics*