Objective: To construct and validate a prognostic model for lung cancer based on acrolein-related genes using bioinformatics methods . Methods: Lung cancer datasets GSE30219 and GSE68465 were obtained from the GEO database , and acrolein-related gene sets were retrieved from the CTD database . Differentially expressed genes (DEGs) between cancer and adjacent tissues were identified in the GSE30219 dataset. The intersection of these DEGs and acrolein-related genes was then used to identify candidate genes . Gene set variation analysis ( GSVA) was performed to assess functional alterations based on the intersection genes . A protein-protein interaction (PPI) network was constructed based on the STRING database to identify core hub genes . Subsequently , support vector machine recursive feature elimination (SVM-RFE) and LASSO-Cox regression analyses were employed to develop a prognostic model based on acrolein-related genes , which was independently validated using the GSE68465 dataset. The CIBERSORT algorithm was applied to evaluate the immune cell infiltration characteristics between high- and low-risk groups , and functional enrichment analysis of DEGs between the two groups was conducted to further ex- plore the potential molecular mechanisms underlying the prognostic model . Results : A total of 361 acrolein-related DEGs were identified in lung cancer , and 7 key genes were selected for model construction . Kaplan-Meier survival analysis revealed that patients in the high-risk group had significantly lower survival rates compared to those in the low-risk group (P < 0. 000 1) . Receiver operating characteristic (ROC) curve analysis demonstrated that the mod- el possessed good predictive performance . Moreover , immune infiltration analysis indicated that the risk score was closely associated with multiple immune cell subsets , suggesting a potential role of acrolein-related genes in modula- ting the lung cancer immune microenvironment. Conclusion The prognostic model for lung cancer based on acro- lein-related genes demonstrates significant application value in predicting the prognosis of lung cancer , providing new insights into the potential mechanisms of acrolein in the onset and progression of lung cancer.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective To investigate the prognostic value of M2 macrophage-related genes(MRG)in hepatitis B virus(HBV)-related hepatocellular carcinoma(HCC).Methods The transcriptome data of 73 patients with HBV-related HCC were obtained from TCGA database,and the MRG modules were identified by WGCNA.The MRG-based risk scoring model was constructed by LASSO regression analysis and validated using an external dataset.The correlation of the risk score with immune cell infiltration and drug sensitivity of HCC were analyzed with CIBERSORT and R.pRRophetic.The signaling pathways of the differential genes between the high-and low-risk groups were investigated using GSVA and GSEA enrichment analyses,and MRG expressions at the single cell level were validated using R.Seurat.The cell interaction intensity was analyzed by R.Cellchat to identify important cell types related to HCC progression.MRG expression levels were detected by RT-qPCR in THP-1 cells with HCC-conditioned medium-induced M2 polarization and in HBV-positive HCC cells.Results A high M2 macrophage infiltration level was significantly correlated with a poor prognosis of HCC,and 5 hub MRG(VTN,GCLC,PARVB,TRIM27,and GMPR)were identified.The overall survival of HCC patients was significantly lower in the high-risk than in the low-risk group.The high-and the low-risk groups showed significant enrichment of M2 macrophages and na?ve B cells,respectively,and were sensitive to BI.2536 and to AG.014699,AKT.inhibitor.Ⅷ,AZD.0530,AZD7762,and BMS.708163,respectively.The proliferation-related and metabolism-related pathways were enriched in the high-risk group,where monocytes showed the most active cell interactions during HCC progression.VTN was significantly upregulated in HCC cell lines,while GCLC,PARVB,TRIM27,and GMPR were upregulated in M2 THP-1 cells.Conclusion The MRG-based risk scoring model can accurately predict the prognosis of HBV-related HCC and reveal the differences in tumor microenvironment to guide precision treatment of the patients.

Objective:This study aims to explore the prevalence of hepatitis E virus (HEV) infection in patients and the screening value of serological indicators for HEV infection patients.Methods:Retrospective analysis was conducted on 97 440 cases of anti-HEV IgM and IgG simultaneously tested in two Beijing hospitals from January 1, 2018 to August 31, 2023. Among them, there were 61 005 males and 36 435 females, with an average age of 51.65±13.05 years old. According to the positivity of anti HEV specific antibodies, they were divided into anti-HEV IgM positive group (3 588 cases), anti-HEV IgG positive group (18 083 cases), and anti-HEV antibody negative group (78 892 cases). Results of HEV RNA, liver function, AFP, PIVKA-Ⅱ and PT were collected, and their basic clinical information were recorded. The prevalence of HEV infection in patients, as well as the relationship between the positivity of anti-HEV specific antibodies and the patient′s age group, HEV RNA, and clinical characteristics were analyzed.Results:Among 97 440 patients who tested anti-HEV IgM and IgG simultaneously, the positivity rate of anti-HEV IgM was 3.68% (3 588/97 440), and was 18.56% for anti-HEV IgG (18 083/97 440). The overall positivity rates of anti-HEV IgM in two Beijing hospitals from 2018 to 2023 were 2.51%, 2.53%, 3.02%, 4.59%, 5.72%, and 4.26% ( χ2=1 401.73, P<0.001), while the positivity rates of anti-HEV IgG were 12.56%, 12.32%, 12.85%, 22.65%, 27.42%, and 26.66% ( χ2=1 058.29, P<0.001). These rates showed a gradual increase until 2023 when a decline was observed. The positivity rates of anti-HEV IgM (2.28%, 3.60%, 4.47%) ( χ2=89.62, P<0.001) and IgG (4.71%, 17.86%, 25.94%) ( χ2=2 017.32, P<0.001) increased with age in patients who aged 1-30, >30-60, and over 60 years old. The age and ALB values of patients in the anti-HEV IgM positive group were lower than the IgG-positive group, while the proportion of males, TBIL, ALT, AFP and PT values were higher than the IgG-positive group, and the differences were statistically significance ( P<0.05). Furthermore, patients in both the anti-HEV IgM and IgG positive groups had higher age, male proportion, TBIL, ALT, AFP, PIVKA-Ⅱ, and PT values than the anti-HEV negative group. Additionally, both groups had lower ALB values than the anti-HEV negative group, all of which were statistically significant ( P<0.05). 2 162 HEV infected patients were grouped based on HEV RNA positivity. The proportion of anti-HEV IgM single positive, IgG single positive, IgM+IgG double positive, and antibody negative patients in the HEV RNA positive group were 5.42% (18/332), 3.62% (12/332), 90.36% (300/332), and 0.60% (2/332), respectively. Among them, the proportion of anti-HEV IgM+IgG double positive patients in the HEV RNA positive group was higher than that in the HEV RNA negative group ( χ2=302.87, P<0.001), while the proportion of anti-HEV IgG single positive ( χ2=174.36, P<0.001) and anti-HEV antibody negative patients ( χ2=59.28, P<0.001) were lower than that in the HEV RNA negative group, both of which were statistically significant ( P<0.001). In addition, the positive rates of HEV RNA in anti-HEV IgM positive, IgG positive, and antibody negative patients were 29.23% (318/1 088), 17.59% (312/1 774), and 0.65% (2/306), respectively. Conclusion:The HEV infection rate among patients declined in 2023. HEV infection is age-related, with older individuals being more susceptible. Abnormal liver function and jaundice were commonly observed during HEV infection. It is crucial to note that the absence of anti-HEV specific antibodies cannot rule out HEV infection; therefore, additional testing for HEV RNA and/or HEV Ag is necessary for accurate diagnosis.

Objective To investigate the prognostic value of M2 macrophage-related genes(MRG)in hepatitis B virus(HBV)-related hepatocellular carcinoma(HCC).Methods The transcriptome data of 73 patients with HBV-related HCC were obtained from TCGA database,and the MRG modules were identified by WGCNA.The MRG-based risk scoring model was constructed by LASSO regression analysis and validated using an external dataset.The correlation of the risk score with immune cell infiltration and drug sensitivity of HCC were analyzed with CIBERSORT and R.pRRophetic.The signaling pathways of the differential genes between the high-and low-risk groups were investigated using GSVA and GSEA enrichment analyses,and MRG expressions at the single cell level were validated using R.Seurat.The cell interaction intensity was analyzed by R.Cellchat to identify important cell types related to HCC progression.MRG expression levels were detected by RT-qPCR in THP-1 cells with HCC-conditioned medium-induced M2 polarization and in HBV-positive HCC cells.Results A high M2 macrophage infiltration level was significantly correlated with a poor prognosis of HCC,and 5 hub MRG(VTN,GCLC,PARVB,TRIM27,and GMPR)were identified.The overall survival of HCC patients was significantly lower in the high-risk than in the low-risk group.The high-and the low-risk groups showed significant enrichment of M2 macrophages and na?ve B cells,respectively,and were sensitive to BI.2536 and to AG.014699,AKT.inhibitor.Ⅷ,AZD.0530,AZD7762,and BMS.708163,respectively.The proliferation-related and metabolism-related pathways were enriched in the high-risk group,where monocytes showed the most active cell interactions during HCC progression.VTN was significantly upregulated in HCC cell lines,while GCLC,PARVB,TRIM27,and GMPR were upregulated in M2 THP-1 cells.Conclusion The MRG-based risk scoring model can accurately predict the prognosis of HBV-related HCC and reveal the differences in tumor microenvironment to guide precision treatment of the patients.

Objective:To understand the characteristics of serological detection indicators of patients with hepatitis B virus (HBV) infection in three hospitals in Beijing from 2018 to 2021.Methods:The five markers of hepatitis B, liver function tests, HBV DNA load, AFP and PT test results and basic clinical information of HBsAg positive HBV infected patients in three hospitals in Beijing from 2018 to 2021 were collected. Then the diagnosis of HBV infection, the positive patterns of serological indicators for five markers of hepatitis B and the clinical characteristics of hepatitis B patients were analyzed by SAS 9.4 statistical software.Results:Among the 1 026 604 patients who were tested for the five markers of hepatitis B or hepatitis B surface antigen quantification (HBsAg-QN) in three hospitals in Beijing from 2018 to 2021, the positive detection rate of HBsAg was 53.50%. The annual positive detection rate of HBsAg was 57.22%, 55.05%, 53.64% and 47.69% successively, showing a downward trend year by year. 111 709 hepatitis B patients were divided into 1-30, 31-60 and>60 years old groups according to their age. The main diseases of the three groups of HBV infected patients was chronic hepatitis B (CHB), and the proportion of patients with acute hepatitis B (AHB) and CHB decreased with age, while the proportion of patients with HBV-related liver cirrhosis, HBV-related liver cancer, liver cancer surgery and liver transplantation increased with age, the difference of which was statistically significant (all P<0.05). In this research, a total of 24 positive patterns of the five markers of hepatitis B were detected, including 7 common patterns (the main pattern was 145), 14 rare patterns (the main pattern was 1345), and 3 unusual patterns (the main pattern was 12345). The age, male ratio, HBeAg positive detection rate, HBV DNA positive detection rate and load, TBIL, ALT, AFP and PT results in the HBsAg positive group (90 011cases) were higher than those in the HBsAg negative group (21 698 cases), and the above results of the two groups of hepatitis B patients were higher than those of the healthy control group (20 623 cases). The albumin (ALB) results were the lowest in the HBsAg positive group and the highest in the healthy control group. And the differences were statistically significant (all P<0.05). Conclusions:From 2018 to 2021, the positive rate of HBsAg among the patients who received the five markers of hepatitis B or HBsAg-QN test in three hospitals in Beijing decreased year by year. Age was associated with disease progression in patients with hepatitis B. The positive patterns of five markers of hepatitis B in HBV infected people showed diversity.

Objective:To analyze the characteristics of clinical and laboratory indexes in patients with liver disease with positive anti-liver cytosol antibody type 1 (anti-LC1), in order to provide references for clinical and differential diagnosis.Methods:The clinical data of 23 832 inpatients and outpatients with positive anti-LC1 autoantibodies detected in routine autoantibody test from January 2010 to January 2020 were retrospectively analyzed, and their clinical and laboratory indexes were compared. Western blotting was used to detect anti-LC1, anti-soluble liver antigen antibody (anti-SLA), anti-glycoprotein 210 antibodies and anti-nucleosome 100 antibodies. Indirect immunofluorescence assay was used to detect anti-nuclear antibody (ANA), anti-mitochondrial antibody, anti-Smooth muscle antibody (ASMA), anti-liver and kidney microsomal antibody (anti-LKM) and other autoantibodies. Normally distributed measurement data between the two groups were compared by independent-sample t-test, and the multiple groups comparison were compared by one-way analysis of variance. Non-normally distributed measurement data were compared by non-parametric rank sum test.Results:38 anti-LC1 positive patients were detected in 23832 autoantibody tests. The age of initial diagnosis ranged from 11.0 to 84.0 (50.6 ± 16.0) years. There were 8 males (21.1%) and 30 females (78.9%). A total of 31 cases (81.6%) were positive for anti-LC1 and ANA, and the dominant karyotype was speckled pattern, accounting for 54.8%. Five cases (13.2%) were positive for ASMA, and no simultaneous positive with anti-LKM or anti-SLA. Among the 38 anti-LC1 positive patients, 9 were diagnosed with autoimmune hepatitis (AIH), 6 with possible AIH, 6 with primary biliary cholangitis (PBC), 8 with hepatitis B, 2 with hepatitis C, 1 with alcoholic liver disease, 2 with non-alcoholic fatty liver disease, 1 with drug-induced liver injury, 1 with hepatolenticular degeneration, and 2 with tumor. Confirmed and probable AIH cases accounted for 39.5% (15/38) of anti-LC1 positive cases. Among anti-LC1 positive patients, 47.4% (18/38) had entered the stage of liver cirrhosis. AIH group globulin level was higher than HBV group ( P = 0.006) and other disease groups ( P = 0.001). AIH group IgG level was higher than PBC group ( P = 0.027), HBV group ( P = 0.009) and other disease groups ( P = 0.004). the of the PBC group IgM level was higher than AIH group ( P = 0.003), HBV group ( P = 0.003) and other disease groups ( P = 0.006). Conclusion:Anti-LC1 is not only detected in AIH, but also observed in patients with primary biliary cholangitis, hepatitis B and C, alcoholic and non-alcoholic liver disease, drug-induced liver injury, hereditary metabolic liver disease and tumor. In addition, it is mainly female gender dominance and nearly half of ANA-positive young, middle-aged and elderly patients develop liver cirrhosis. For the diagnosis of type 2 autoimmune hepatitis, whether anti-LC1 is a specific antibody needs further research, but if AIH is highly suspected, this antibody can be used as a substitute.

Objective: To understand the characteristics and clinical significance of anti-soluble liver antigen antibody (anti-SLA) in patients with liver diseases. Methods: Serum samples from seventy-seven patients with anti-SLA were collected from Beijing You'An Hospital during the period between January 2010 and December 2018. Anti-SLA, anti-liver cytosol type 1 antibody (anti-LC1), anti-glycoprotein 210 antibody(anti-gp210) and anti-nuclear body protein sp100 antibody(anti-sp100) were detected by immunoblotting; indirect immunofluorescence assay used for detecting anti-nuclear antibody (ANA), anti-mitochondrial antibody (AMA), anti-smooth muscle antibody (SMA), and anti-liver kidney microsome antibody (anti-LKM). One-way analysis of variance was used to compare the ages of different anti-SLA groups. The non-parametric rank sum test was used to compare the liver function indexes and immunoglobulins in different intensity groups of anti-SLA. P<0.05 was considered statistically significant. Further comparisons were made between the two groups, the correction level α′=0.008 3, P<0.008 3 was considered statistically significant. Results: The average age of 77 anti-SLA positive patients was (52.50±1.25) years old, 70 females (90.9%) and 7 males (9.1%). 80.5% of anti-SLA-positive patients (62/77 cases) were strongly positive at the time of initial diagnosis (+++ to ++++).The Alanine aminotransferase (ALT) level in the SLA++ group was higher than that in the SLA++++ group (232.7 U/L vs 65.6 U/L,χ²=7.751,P=0.005) and the immunoglobulin M(IgM) level in the SLA+++ group was lower than that in the SLA++++ group (1 270 mg/L vs 2 270 mg/L,χ²=8.337,P=0.004).There was no significant difference in age, other liver function and immunological indicators among the different groups.Seventy cases (90.9%) were both anti-SLA and ANA positive, 13 cases (16.9%) were positive with SMA, and none positive with anti-LKM and anti-LC1. Among anti-SLA positive patients, 58 cases were diagnosed with autoimmune hepatitis (AIH), 12 were AIH/primary biliary cholangitis (PBC) overlap syndrome (OS), 2 were drug-induced liver injury, 2 were chronic hepatitis B, and 3 were hepatitis A, hepatitis E and acquired immune deficiency syndrome (AIDS) with liver injury, respectively.Cases of AIH and AIH/PBC OS accounted for 90.9% (70/77 cases) of anti-SLA-positive patients, and 5 of 7 patients diagnosed with non-AIH (and OS) had elevated IgG, showing AIH feature.92.3% (12/13 cases) of anti-SLA with high titers of AMA were diagnosed as AIH/PBC overlap syndrome. Of the 77 anti-SLA-positive patients, 28 (36.4%) had advanced or end-stage liver disease, including decompensated cirrhosis (22 cases), chronic acute liver failure (4 cases), and liver transplantation (1 case) and death from liver failure (1 case). Conclusions Anti-SLA has high diagnostic specificity for AIH;anti-SLA positive in patients with PBC should be an important biomarker for the diagnosis of AIH/PBC overlap syndrome.

ObjectiveTo explore the application effect of Pender health promotion model in patients with diabetes and provide evidence for clinical nursing intervention. MethodsA convenient sampling method was used to select 100 patients with diabetes mellitus admitted to Department of Endocrinology, the First Affiliated Hospital of Harbin Medical University from October 2017 to September 2018. According to the patient＇s hospitalization time, the patients admitted from October 2017 to March 2018 were set as the control group, and the patients admitted from April to September 2018 were set as the observation group. Patients in the control group were given routine health education for diabetic patients, and patients in the observation group were treated with interventions based on the health promotion model. The effect of the intervention was evaluated using the Self-Management Behavior Scale for Type 2 Diabetes and the MOS 36-Item Short-From Health Survey (SF-36). ResultsThe total score of the Self-Management Behavior Scale and scores of each dimensions in the observation group were higher than those in the control group at 1 month after discharge, and the differences were statistically significant (P＜0.05). There was no statistical differences in the physical health and mental health scores in SF-36 between the two groups after intervention (P＞ 0.05). ConclusionsPender health promotion model can improve the self-management behavior of diabetic patients and it is worthy of promotion and application.