ObjectiveTo investigate the characteristics of mitochondrial translational initiation factor 2 （MTIF2） gene methylation and its association with the development and progression of hepatocellular carcinoma （HCC）. MethodsMethSurv and EWAS Data Hub were used to perform the standardized analysis and the cluster analysis of MTIF2 methylation samples， including survival curve analysis， methylation signature analysis， the association of tumor signaling pathways， and a comparative analysis based on pan-cancer database. The independent-samples t test was used for comparison between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Cox proportional hazards model was used to perform the univariate and multivariate survival analyses of methylation level at the CpG site. The Kaplan-Meier method was used to investigate the survival differences between the patients with low methylation level and those with high methylation level， and the Log-likelihood ratio method was used for survival difference analysis. ResultsGlobal clustering of MTIF2 methylation showed that there was no significant difference in MTIF2 gene methylation level between different races， ethnicities， BMI levels， and ages. The Kaplan-Meier survival curve analysis showed that the patients with N-Shore hypermethylation of the MTIF2 gene had a significantly better prognosis than those with hypomethylation （hazard ratio ［HR］=0.492， P<0.001）， while there was no significant difference in survival rate between the patients with different CpG island and S-Shore methylation levels （P>0.05）. The methylation profile of the MTIF2 gene based on different ages， sexes， BMI levels， races， ethnicities， and clinical stages showed that the N-Shore and CpG island methylation levels of the MTIF2 gene decreased with the increase in age， and the Caucasian population had significantly lower N-Shore methylation levels of the MTIF2 gene than the Asian population （P<0.05）； the patients with clinical stage Ⅳ had significantly lower N-Shore and CpG island methylation levels of the MTIF2 gene than those with stage Ⅰ/Ⅱ （P<0.05）. Clinical validation showed that the patients with stage Ⅲ/Ⅳ HCC had a significantly lower methylation level of the MTIF2 gene than those with stage Ⅰ/Ⅱ HCC and the normal population （P<0.05）. ConclusionN-Shore hypomethylation of the MTIF2 gene is a risk factor for the development and progression of HCC.

Diffuse large B-cell lymphoma （DLBCL） is a highly heterogeneous disease. Although standard first-line regimens can cure ＞50% of patients， approximately one-third of them develop relapsed/refractory DLBCL （r/r DLBCL）. Consequently， immunotherapy targeting molecular abnormalities has become pivotal for managing r/r DLBCL. The results of this review show that with advances in understanding DLBCL pathogenesis and the tumor immune microenvironment， antibody-based therapies have evolved rapidly， progressing from monoclonal antibodies （e.g.， rituximab， tafasitamab） to bispecific antibodies（e.g.， odronextamab，glofitamab， epcoritamab） and antibody-drug conjugate （e.g.， polatuzumab vedotin， loncastuximab tesirine）. These engineered agents enhance immune cytotoxicity and tumor-specific targeting， providing novel therapeutic options for r/r DLBCL patients.

Objective:To compare the consistency of lymphoma multigene detection panels based on next-generation sequencing (NGS) with FISH detection of B-cell lymphoma gene rearrangement.Methods:From January 2019 to May 2023, fusion genes detected by lymphoma-related 413 genes that targeted capture sequencing of 489 B-cell lymphoma tissues embedded in paraffin were collected from Henan Cancer Hospital, and the results were compared with simultaneous FISH detection of four break/fusion genes: BCL2, BCL6, MYC, and CCND1. Consistency was defined as both methods yielding positive or negative results for the same sample. The relationship between fusion mutation abundance in NGS and the positivity rate of cells in FISH was also analyzed.Results:Kappa consistency analysis revealed high consistency between NGS and FISH in detecting the four B-cell lymphoma-related gene rearrangement ( P<0.001 for all) ; however, the detection rates of positive individuals differed for the four genes. Compared with FISH, NGS demonstrated a higher detection rate for BCL2 rearrangement, a lower detection rate for BCL6 and MYC rearrangement, and a similar detection rate for CCND1 rearrangement. No correlation was found between fusion mutation abundance in NGS and the positivity rate of cells in FISH. Conclusions:NGS and FISH detection of B-cell lymphoma gene rearrangement demonstrate overall good consistency. NGS is superior to FISH in detecting BCL2 rearrangement, inferior in detecting MYC rearrangement, and comparable in detecting CCND1 rearrangement.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective To investigate the mechanism by which lectin-like oxidized low density lipoprotein receptor-1(LOX-1)regulates hyperglycemic-induced myocardial fibroblast(CFs)fibrosis through the glycogen synthase kinase-3β(GSK-3β)/signal transducer and activator of transcription 3(STAT3)pathway.Methods CFs were isolated,cultured and identified.LOX-1 RNAi lentiviral vector was constructed and infected CFs.The experimental groups were as follows:Normal control(NC)group,High glucose(HG)group,LV-LOX-1,LV-Con group,Hypertonic(HPG)group.After LV-LOX-1 and LV-Con were infected with CFs,adding 25 mmol/L glucose to culture CFs for 24 h,they were denoted as HG+LV-LOX-1 group and HG+LV-Con group.Cells in HG+LV-LOX-1 group and HG+LV-Con group were treated with 10 μ mol/L SB216763 and 10 μ mol/L STATTIC for 24 h,respectively,and then they were recorded as HG+LV-LOX-1+SB216763 group,HG+LV-Con+SB216763 group,HG+LV-LOX-1+STATTIC group and HG+LV-Con+STATTIC group.CCK-8 was used to detect the activity of CFs,and the expression levels of mRAN and protein of LOX-1,collagen type I(COL-I),thioredoxin 5(TXNDC5),GSK-3β,STAT3,p-GSK-3β and p-STAT3 were detected by qRT-PCR and Western blot.Results CFs infected with LOX-1 RNAi lentiviral vector were obtained,which showed green under fluorescence microscopy.Compared with HG and HG+LV-Con groups,the mRNA expressions of LOX-1,COL-I and TXNDC5 were decreased in HG+LV-LOX-1 group(P<0.05).Compared with HG+LV-LOX-1 group,mRNA expressions of COL-I and TXNDC5 were decreased in HG+LV-LOX-1+SB216763 and HG+LV-LOX-1+STATTIC groups(P<0.05).Compared with HG and HG+LV-Con groups,p-GSK-3β protein expression was increased in HG+LV-LOX-1 group(P<0.05),while LOX-1,p-STAT3,COL-I,TXNDC5 protein expression was decreased in HG+LV-LOX-1 group(P<0.05).Compared with HG+LV-LOX-1 group,p-GSK-3β protein expression was increased in HG+LV-LOX-1+SB216763 group(P<0.05),while the protein expressions of p-STAT3,COL-I and TXNDC5 were decreased in HG+LV-LOX-1+SB216763 and HG+LV-LOX-1+STATTIC groups(P<0.05).Conclusion LOX-1,GSK-3β,STAT3,TXNDC5,and COL-I are involved in high glucose induced CFs fibrosis.LOX-1 promotes the expression of TXNDC5 and COL-I through GSK-3β/STAT3 pathway,and inhibition of LOX-1 can inhibit high glucose induced CFs fibrosis.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units，and the top five bacteria were Staphylococcus aureus（ n=1 147，36.3%），coagulase-negative Staphylococci（ n=928，29.3%）， Enterococcus faecalis（ n=369，11.7%）， Enterococcus faecium（ n=296，9.4%）and alpha-hemolyticus Streptococci（ n=192，6.1%）. The detection rates of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）were 26.4%（303/1 147）and 66.7%（619/928），respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome，rifampin，compound sulfamethoxazole，linezolid，minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%（2/369），and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions（ χ2=14.578， P=0.002），while the detection rate of MRCNS in northern China was significantly higher than that in other regions（ χ2=15.195， P=0.002）. The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals（ χ2=13.519 and 12.136， P<0.001）. The detection rates of MRSA and MRCNS in economically more advanced regions（per capita GDP≥92 059 Yuan in 2022）were higher than those in economically less advanced regions（per capita GDP<92 059 Yuan）（ χ2=9.969 and 7.606， P=0.002和0.006）. Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China， Staphylococci is the most common while the MRSA incidence decreases continuously with time；the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China，with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

Objective To construct an NZB/W(F1)mouse model of systemic lupus erythematosus and evaluate the effects of nicotinamide on each index of lupus nephritis pathogenesis of NZB/W(F1)mice in order to provide data for research on the role of nicotinamide in the treatment of lupus nephritis.Methods Female NZB/W(F1)mice were obtained by crossing male NZW mice with female NZB ones.Urine samples were collected using metabolic cages and proteinuria test strips were used to detect proteinuria.Blood samples were collected through the orbital venous plexus in mice.Enzyme-linked immunosorbent assay(ELISA)was used to detect the level of anti-dsDNA antibody.Levels of serum creatinine and urea nitrogen and liver function indexes were detected using an automatic blood analyzer.Hematoxylin-eosin staining and immunofluorescence technique were used to detect the pathological state of the kidney.Results The levels of proteinuria,double-stranded DNA antibodies,serum creatinine,and urea nitrogen were gradually increased during the natural course of the disease in female NZB/W(F1)mice,indicating that the lupus nephritis disease model was constructed in female NZB/W(F1)mice.Compared to the control group,nicotinamide feeding could obviously decrease the level of proteinuria(P=0.0070),inhibit the production of double-stranded DNA antibodies(P=0.0325),and retard the progression of serum creatinine(P=0.0067)and urea nitrogen indexes(P=0.0166)in serum.In addition,the pathological state of the kidney in the nicotinamide feeding group was significantly alleviated compared with the control group.Conclusion A lupus nephritis disease model is constructed in NZB/W(F1)mice.Nicotinamide feeding can obviously alleviate the disease state of lupus nephritis in NZB/W(F1)mice.

Objective:To explore a simplified and efficient early prediction model for severe acute pancreatitis (SAP) using the least absolute shrinkage and selection operator (LASSO) regression, and to construct both logistic regression and decision tree models. The aim is to identify high-risk individuals, guide clinical treatment, and improve patient outcomes.Methods:A retrospective analysis was conducted on the clinical data of 412 patients with acute pancreatitis admitted to the Emergency and Gastroenterology Departments of the First Affiliated Hospital of Anhui Medical University and its High-tech Branch from November 2020 to September 2023. LASSO regression was employed to identify factors significantly associated with SAP, followed by the construction of a multivariate logistic regression model and a decision tree model. The predictive performance of these models was evaluated and compared to the bedside index for severity in acute pancreatitis (BISAP).Results:Among the 412 patients, the incidence of SAP was 12.14% ( n=50). Seven variables significantly associated with SAP severity were identified by LASSO regression, including respiratory rate at admission, pain score at admission, pleural effusion, fibrin degradation products, C-reactive protein, serum creatinine, and serum albumin. The logistic regression model incorporated four variables: pleural effusion, pain score at admission, serum creatinine, and serum albumin. In the training set, the model demonstrated a sensitivity of 0.528, specificity of 0.984, accuracy (95% CI) of 0.928 (0.892-0.955), Kappa value of 0.606, and AUC (95% CI) of 0.920 (0.862-0.979). In the testing set, the model showed a sensitivity of 0.643, specificity of 0.925, accuracy (95% CI) of 0.891 (0.822-0.941), Kappa value of 0.519, and AUC (95% CI) of 0.923 (0.861-0.985). The decision tree model comprised three branches and four terminal nodes, indicating that serum creatinine, serum albumin, and pleural effusion could effectively predict SAP occurrence. In the training set, the decision tree model had a sensitivity of 0.500, specificity of 0.973, accuracy (95% CI) of 0.914 (0.876-0.944), Kappa value of 0.544, and AUC (95% CI) of 0.812 (0.731-0.894). In the testing set, the model exhibited a sensitivity of 0.500, specificity of 0.925, accuracy (95% CI) of 0.875 (0.802-0.928), Kappa value of 0.412, and AUC (95% CI) of 0.709 (0.565-0.853). The DeLong test revealed that in the training set, the AUC of the logistic regression model was significantly greater than that of the decision tree model ( P<0.01) and the BISAP score ( P<0.001), while the AUC difference between the decision tree model and the BISAP score was not statistically significant ( P=0.762). In the testing set, the AUC of the logistic regression model was again greater than that of the decision tree model ( P<0.01) and the BISAP score ( P=0.018), whereas the AUC of the decision tree model was lower than that of the BISAP score ( P=0.017). Conclusions:Both the logistic regression and decision tree models demonstrate good predictive value for SAP, and their combined use may provide valuable guidance for clinical practice.

Objective To explore the relationship between serum microRNA-124(miR-124),CD146,angio-poietin-like protein 2(Angptl2)and the stability of carotid atherosclerosis(CAS)plaque in patients with a-cute cerebral infarction(ACI),and to provide reference for early prevention and treatment of patients with ACI.Methods A total of 191 patients with ACI admitted in Handan Central Hospital from January 2020 to February 2023 were selected as ACI group,and another 61 healthy volunteers who were underwent physical examination during the same period were selected as control group.The patients with ACI were divided into unstable plaque group(56 cases),stable plaque group(71 cases),and non plaque group(64 cases)based on carotid color doppler ultrasound results.The serum miR-124 expression levels of all subjects were detected by real time fluorescence quantitative polymerase chain reaction(RT-qPCR),and the serum CD146 and Angptl2 levels were detected by enzyme-linked immunosorbent assay(ELISA).The influencing factors of the instabili-ty of CAS plaque in patients with ACI was analyzed by univariate and multivariate Logistic regression.The predictive value of serum miR-124,CD146 combined with Angptl2 for the instability of CAS plaque in patients with ACI was analyzed by the receiver operating characteristic(ROC)curve.Results The serum CD146 and Angptl2 levels in ACI group were higher than those in control group(P＜0.05),and the miR-124 expression level was lower than that in control group(P＜0.05).Univariate analysis showed that the stability of CAS plaques in ACI patients was correlated with age,hypertension,hyperlipidemia,fibrinogen(FIB),serum C-reac-tive protein(CRP),serum cystatin C(CyC),CD146,Angptl2 and miR-124(P＜0.05).Multivariate Logistic regression analysis showed that the decrease of serum miR-124,the increase of CD146,the increase of Angptl2 and the combination of hyperlipidemia were risk factors for CAS plaque stability in ACI patients(P＜0.05).The area under ROC curve(AUC)of serum miR-124,CD146,Angptl2 and the combination of the three indi-cators to predict CAS plaque instability in ACI patients were 0.741,0.719,0.781 and 0.834,respectively.Conclusion The serum miR-124 expression level,CD146 and Angptl2 levels are the influencing factors of CAS plaque instability in ACI patients,which may be involved in the formation and development of CAS plaque in ACI patients.The combined detection of the three factors has a good predictive effect on CAS plaque instability in ACI patients.

Objective:To explore the optimization of the standardized assessment tool for clinical diagnosis of Chinese developmental dyslexia (DD).Methods:A cross-sectional study was conducted from May to December 2023, in which 130 primary school children in grades 1 to 3 with clinical signs of literacy lag and positive screening results on the screening scales were recruited from the outpatient clinic of Child Health Care Medical Division, Shanghai Children′s Hospital, Shanghai Jiao Tong University School of Medicine. Chinese dyslexia screening behavior checklist for primary students (CDSBC) was used as the screening scales, and supplemented by dyslexia checklist for Chinese children. Referring to the standard procedure of the"expert advice on diagnosis and intervention of Chinese developmental dyslexia", the developmental dyslexia scale for standard mandarin (DDSSM) was used to evaluate the children′s literacy-related cognitive abilities and conduct the diagnostic assessment, and divided the children into learning backward group and the DD group. The t-test and χ2 test were used to compare the differences in the distribution of intelligence, literacy and attention deficit hyperactivity disorder between the two groups. Spearman′s correlation was used to analyze the correlation between the scores for each cognitive ability in the DDSSM and the CDSBC. Results:Of the 130 children, 90 were male, aged (8.3±1.0) years; 40 were female, aged (8.1±0.9) years. A final diagnosis of DD was made in 59 cases, of which 41 were males. There was no statistically significant difference in operational intelligence quotient (101±15 vs.100±15, t=0.53, P>0.05) and statistically significant difference in literacy of DDSSM (32±5 vs.21±4, t=11.56, P<0.001) between the learning backward group and the DD group. Eighteen cases (25.4%) of the learning backward group were children with attention deficit subtype attention deficit hyperactivity disorder (ADHD-I), and 16 cases (27.1%) in DD group, the difference in incidence between the two groups was not statistically significant ( χ2=0.05, P>0.05). There were correlations between the DDSSM (for oral vocabulary, morphological awareness and orthographic awareness) and the CDSBC total score ( r=-0.42, -0.32, -0.35, all P<0.01), but the correlations for visuospatial perception and rapid automatized naming with CDSBC total score were not statistically significant ( r=-0.09 and -0.20,both P>0.05). Conclusion:For literacy-related cognitive abilities, screening scales CDSBC are not sufficiently useful for assessment, so the introduction of standardized assessment tools DDSSM is an optimization of the clinical diagnosis of Chinese DD, which is crucial for achieving accurate diagnosis and intervention.