Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective To explore the experiences of master degree nursing students and their supervisors under the dual-supervisor system.Methods A phenomenological research was adopted in this study eighteen master degree nursing students,five principle supervisors and four assistant supervisors from our university were selected through purposive sampling for semi-structured interviews between July and September 2023.Data acquired from the interviews was analysed using Colaizzi's method to summarise and extract the themes.Results Three main themes and eleven sub-themes were extracted,including the collaborative framework of the dual-mentor system(discrepancies in the perception of the dual-mentor system between faculty and students,the selection and matching process for associate mentors,the division of responsibilities and collaborative dynamics between primary and associate mentors,student-centered personalized training strategies,context-specific guidance provided by associate mentors,and the extent to which inter-role communication relies on student initiative),the benefits of the dual-mentor system(encompassing diversified academic and professional guidance,as well as integrated theoretical and practical support)and the expectations held by faculty and students regarding the dual-mentor system(refining institutional design and reinforcing accountability,enhancing the support infrastructure for associate mentors,and improving the tripartite communication mechanism among faculty,students,and associate mentors).Conclusion In nursing postgraduate education,the roles and responsibilities within the dual-mentor system can be more clearly delineated,and inter-mentor collaboration should be further strengthened.It is recommended to enhance tripartite communication among faculty,students,and associate mentors to foster the effective implementation and development of the dual-mentor system.

Female reproductive system diseases,such as premature ovarian insufficiency(POI),premature ovarian failure(POF),polycystic ovary syndrome(PCOS),intrauterine adhesions(IUA),ulterus scar diverticulum,salpingitis,and tubal obstruction,may induce infertility,severely impacting patients'physical and mental health and quality of life.Currently,the umbilical cord mesenchymal stem cells(UCMSCs)have emerged as a research focus in gynecological and obstetric fields,demonstrating significant therapeutic potential for female reproductive system disorders.UCMSCs secrete various cytokines,activate relevant signaling pathways and key molecules,reduce inflammation mediators and oxidative stress,and prevent excessive cellular damage and apoptosis,thereby achieving therapeutic effects.In recent years,extensive studies have explored the therapeutic effects of UCMSCs on female reproductive system diseases.This article review the current in vitro and in vivo research progress in UCMSCs for treating female reproductive system diseases,aiming to provide the novel strategies and directions for future research and clinical applications.

Objective To explore the influences of long-chain noncoding RNA DHRS4-AS1 (lncRNA DHRS4-AS1) on the proliferation, invasion, migration, and apoptosis of thyroid cancer (TC) cells by regulating the microRNA-221-3p (miR-221-3p)/suppressor of cytokine signaling 3 (SOCS3) signaling axis. Methods Quantitative real-time PCR (qRT-PCR) was applied to detect the expression of lncRNA DHRS4-AS1, miR-221-3p, and SOCS3 mRNA in TC cell lines, and the optimal cell line was selected for subsequent experiments. FTC-133 cells were divided into five groups: control group, pcDNA-NC group, DHRS4-AS1 group, DHRS4-AS1 combined with agomir NC group, and DHRS4-AS1 combined with miR-221-3p-agomir group. Transfection efficiency was assessed using qRT-PCR. Dual luciferase reporter assays were applied to verify the targeting interaction between lncRNA DHRS4-AS1, SOCS3, and miR-221-3p. Western blot analysis was used to detect the expression of SOCS3 in FTC-133 cells. EdU method was used to measure cell proliferation. Flow cytometry was applied to measure the apoptosis of FTC-133 cells. Scratch experiment was applied to measure the migration of FTC-133 cells. Transwell chamber was applied to detect the invasion of FTC-133 cells. Nude mouse transplantation tumor experiment was used to observe the effect of lncRNA DHRS4-AS1 on the growth of TC transplantation tumors. Results Dual luciferase reporter assays showed a targeting relationship between lncRNA DHRS4-AS1, miR-221-3p, and SOCS3. LncRNA DHRS4-AS1 and SOCS3 were downregulated and miR-221-3p was upregulated in FTC-133 cells. Overexpression of lncRNA DHRS4-AS1 inhibited proliferation, migration, and invasion of FTC-133 cells, while inducing apoptosis. Conversely, miR-221-3p overexpression reversed these inhibitory effects, and suppressed the apoptosis. Nude mouse transplantation experiment observed that overexpression of lncRNA DHRS4-AS1 resulted in a decrease in tumor tissue quality and volume, and a decrease in miR-221-3p expression and an increase in SOCS3 expression. Conclusion LncRNA DHRS4-AS1 is downregulated in FTC-133 cells. Overexpression of lncRNA DHRS4-AS1 can inhibit the proliferation, invasion, and migration of TC cells and induce apoptosis by regulating the miR-221-3p/SOCS3 signaling axis.
MicroRNAs/metabolism* ; Suppressor of Cytokine Signaling 3 Protein/metabolism* ; Humans ; RNA, Long Noncoding/metabolism* ; Apoptosis/genetics* ; Cell Proliferation/genetics* ; Cell Movement/genetics* ; Thyroid Neoplasms/physiopathology* ; Animals ; Signal Transduction/genetics* ; Cell Line, Tumor ; Mice, Nude ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic ; Mice ; Mice, Inbred BALB C

Background::B-cell maturation antigen (BCMA)-directed chimeric antigen receptor T (CAR-T) therapy yield remarkable responses in patients with relapsed/refractory multiple myeloma (R/RMM). Circulating tumor DNA (ctDNA) reportedly exhibits distinct advantages in addressing the challenges posed by tumor heterogeneity in the distribution and genetic variations in R/RMM.Methods::Herein, the ctDNA of 108 peripheral blood plasma samples from patients with R/RMM at the First Affiliated Hospital, School of Medicine, Zhejiang University was thoroughly investigated before administration of anti-BCMA CAR-T therapy to establish its predictive potential. Flow cytometry is used primarily to detect subgroups of T cells or CAR-T cells.Results::In this study, several tumor and T cell effector-mediated factors were considered to be related to treatment failure by an integrat analysis, including higher percentages of multiple myeloma (MM) cells in the bone marrow ( P = 0.0125), lower percentages of CAR-T cells in the peripheral blood at peak ( P = 0.0375), and higher percentages of CD8 + T cells ( P = 0.0340). Furthermore, there is a substantial correlation between high ctDNA level (>143 ng/mL) and shorter progression-free survival (PFS) ( P = 0.007). Multivariate Cox regression analysis showed that high levels of ctDNA (>143 ng/mL), MM-driven high-risk mutations (including IGLL5 [ P = 0.004], IRF4 [ P = 0.024], and CREBBP [ P = 0.041]), number of multisite mutations, and resistance-related mutation ( ERBB4, P = 0.040) were independent risk factors for PFS. Conclusion::Finally, a ctDNA-based risk model was built based on the above independent risk factors, which serves as an adjunct non-invasive measure of substantial tumor burden and a prognostic genetic feature that can assist in predicting the response to anti-BCMA CAR-T therapy.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective To construct an enhancer-based prognostic risk prediction model for non-small cell lung cancer (NSCLC) by integrating DNA methylome data and transcriptome data. Methods The weighted gene co-expression network analysis (WGCNA) was used to identify NSCLC related genes from the differentially methylated positions (DMPs) of enhancers. Based on the transcriptome data,the prognostic risk prediction model was constructed using LASSO-Cox regression algorithm. Results Through the analysis on DNA methylome data of NSCLC,19784 DMPs were obtained and their distribution patterns were characterized,including 6089 DMPs of enhancers. WGCNA analysis screened 79 highly correlated DMPs of enhancer with NSCLC from the 6089 DMPs. After analyzing the target genes of 79 DMPs with LASSO-Cox regression based on the transcriptome data,10 genes were used to construct a prognostic risk prediction model. The prognostic risk prediction model was evaluated by calculating the areas under the curve (AUC) of 3-,5-,and 10-year time-dependent receiver operating characteristic (ROC) curves in training set and validation set;and the results showed that the 3-,5-,and 10-year AUC in training set and validation set were all higher than 0.7. Finally,a nomogram was constructed to predict the 3-,5-,and 10-year survival probabilities of NSCLC. Conclusion This study provides new insights into the role of enhancers in NSCLC and has the potential to improve the prognosis by guiding personalized treatment decisions.

Objective To explore the experiences of master degree nursing students and their supervisors under the dual-supervisor system.Methods A phenomenological research was adopted in this study eighteen master degree nursing students,five principle supervisors and four assistant supervisors from our university were selected through purposive sampling for semi-structured interviews between July and September 2023.Data acquired from the interviews was analysed using Colaizzi's method to summarise and extract the themes.Results Three main themes and eleven sub-themes were extracted,including the collaborative framework of the dual-mentor system(discrepancies in the perception of the dual-mentor system between faculty and students,the selection and matching process for associate mentors,the division of responsibilities and collaborative dynamics between primary and associate mentors,student-centered personalized training strategies,context-specific guidance provided by associate mentors,and the extent to which inter-role communication relies on student initiative),the benefits of the dual-mentor system(encompassing diversified academic and professional guidance,as well as integrated theoretical and practical support)and the expectations held by faculty and students regarding the dual-mentor system(refining institutional design and reinforcing accountability,enhancing the support infrastructure for associate mentors,and improving the tripartite communication mechanism among faculty,students,and associate mentors).Conclusion In nursing postgraduate education,the roles and responsibilities within the dual-mentor system can be more clearly delineated,and inter-mentor collaboration should be further strengthened.It is recommended to enhance tripartite communication among faculty,students,and associate mentors to foster the effective implementation and development of the dual-mentor system.

Objective To construct an enhancer-based prognostic risk prediction model for non-small cell lung cancer (NSCLC) by integrating DNA methylome data and transcriptome data. Methods The weighted gene co-expression network analysis (WGCNA) was used to identify NSCLC related genes from the differentially methylated positions (DMPs) of enhancers. Based on the transcriptome data,the prognostic risk prediction model was constructed using LASSO-Cox regression algorithm. Results Through the analysis on DNA methylome data of NSCLC,19784 DMPs were obtained and their distribution patterns were characterized,including 6089 DMPs of enhancers. WGCNA analysis screened 79 highly correlated DMPs of enhancer with NSCLC from the 6089 DMPs. After analyzing the target genes of 79 DMPs with LASSO-Cox regression based on the transcriptome data,10 genes were used to construct a prognostic risk prediction model. The prognostic risk prediction model was evaluated by calculating the areas under the curve (AUC) of 3-,5-,and 10-year time-dependent receiver operating characteristic (ROC) curves in training set and validation set;and the results showed that the 3-,5-,and 10-year AUC in training set and validation set were all higher than 0.7. Finally,a nomogram was constructed to predict the 3-,5-,and 10-year survival probabilities of NSCLC. Conclusion This study provides new insights into the role of enhancers in NSCLC and has the potential to improve the prognosis by guiding personalized treatment decisions.

ObjectiveTo investigate the influencing factors for the clinical outcome of patients with drug-induced liver injury （DILI）， and to establish a nomogram prediction model for validation. MethodsA retrospective analysis was performed for the general information and laboratory data of 188 patients with DILI who were admitted to Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology from January 2017 to December 2022， and according to their clinical outcome， they were divided into good outcome group with 146 patients and poor outcome group with 42 patients. The independent-samples 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 groups； the chi-square test was used for comparison of categorical data between two groups. Univariate and multivariate Logistic regression analyses were used to investigate the independent influencing factors for the clinical outcome of DILI patients. R Studio 4.1.2 software was used to establish a nomogram model， and calibration curve， receiver operating characteristic （ROC） curve， and decision curve analysis （DCA） were used to perform internal validation. ResultsThe univariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI， platelet count， cholinesterase， albumin， prothrombin time activity， IgM， and IgG were associated with adverse outcomes in patients with DILI. The multivariate Logistic regression analysis showed that liver biopsy for the diagnosis of DILI （odds ratio ［OR］=0.072， 95% confidence interval ［CI］： 0.022‍ ‍—‍ ‍0.213， P<0.001）， clinical classification （OR=0.463， 95%CI： 0.213‍ ‍—‍ ‍0.926， P=0.039）， alanine aminotransferase （OR=0.999， 95%CI： 0.998‍ ‍—‍ ‍1.000， P=0.025）， prothrombin time activity （OR=0.973， 95%CI： 0.952‍ ‍—‍ ‍0.993， P=0.011）， and IgM （OR=1.456， 95%CI： 1.082‍ ‍—‍ ‍2.021， P=0.015） were independent influencing factors for clinical outcome in patients with DILI. The nomogram prediction model was established， and after validation， the calibration curve was close to the reference curve. The area under the ROC curve was 0.829， and the DCA curve showed that the model had good net clinical benefit. ConclusionThe nomogram prediction model established in this study has good clinical calibration， discriminative ability， and application value in evaluating the clinical outcome of patients with DILI.