With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:An in vivo mammalian hepatocyte Unscheduled DNA Synthesis(UDS)test was used to evaluate the genotoxicity of Cross-linked Sodium Hyaluronate Gel and Bone Repair Materials,providing experimental evidence for establishing a UDS testing method for medical devices and materials.Methods:0.9％sodium chloride injection and cottonseed oil were used as the solvent for test materials and negative control,respectively.N-dimethylnitrosamine(NDMA)was used as the positive control for the early sampling times,and 2-acetylaminofluorene(2-AAF)was used as the positive control for the late sampling times.SD rats were administered a single dose for toxic exposure,and liver tissues were collected at 4 h and 16 h,respectively.Hepatocytes were isolated using collagenase perfusion.After labeling with 5-ethynyl-2'-deoxyuridine(EdU),and the net average fluorescence intensity(NAFI)of cell nuclei and nucleoplasm was measured by fluorescence microscope.Data from 50 cells were used to analyze the DNA repair level.Results:Compared with the negative control groups,the positive control groups(NDMA and 2-AAF)showed highly statistically significant differences in NAFI(P＜0.01),indicating successful induction of DNA damage.There was no statistically significant differences between the cross-linked sodium hyaluronate gel groups,bone repair material groups and the negative control group(P＞0.05),suggesting that these materials did not significantly induce DNA damage under the experimental conditions.Conclusion:This study first applied EdU labeling technology to the in vivo hepatic UDS assay,achieving non-radioactive labeling through click chemistry reactions.Under the conditions of this study,cross-linked sodium hyaluronate gel and bone repair materials did not exhibit genotoxicity.In the follow-up,the sample range can be expanded and the observation period can be prolonged to further improve the genotoxicity evaluation system of medical devices.

This study investigated the infectious status and pathogen characteristics of Leptospira in rodents and the environment in Fujian province to provide data for the prevention and control of leptospirosis.A total of 723 rodents and 31 water samples were col-lected from 19 regions in Fujian Province during 2020-2023.The prevalent rodent species was Rattus losea(35.82%,259/723),which was followed by Rattus norvegicus(20.06%,145/723),Rattus tanezumi(19.64%,142/723),and Niviventer fulvescens(13.97%,101/723).A total of 144 positive samples of Leptospira spp.were detected in rodent kidney samples,accounting for 19.92%(144/723).The positivity rate of Leptospira spp.in wild rodents was higher than that in domestic rodents(χ2=8.48,P<0.05),and the positivity rate in adult rodents was higher than that in juvenile rodents(χ2=14.19,P<0.05).The positivity rates varied among rodent species(χ2=46.11,P<0.05),and differences in the positivity rates of Leptospira spp.were observed among regions(χ2=32.113,P<0.05).Ten strains were isolated from 440 rodent samples,and the isolation rate was 2.27%(10/440).Genospecies identification indi-cated that Leptospira borgpetersenii accounted for seven of the ten isolates,and L.interrogans accounted for three.MLST typing divided 10 isolates into three ST types:ST1,ST16,and ST143.5 isolates were isolated from 31 water samples,with an isolation rate of 16.13%,all of which were nonpathogenic L.tsangambouensis.Although pathogenic Leptospira spp.were not isolated from the water samples,the rodents in Fujian Province were generally infected with pathogenic Leptospira spp.Surveillance of the environment and ro-dents infected with Leptospira spp.should be strengthened.

Objective:To construct a bedside handover management in surgical ward based on the intervention mapping theory and verify the practical effect, to provide a reference for further standardizing handover behavior and improving the efficiency of handover management.Methods:A quasi-experimental research method was adopted. From January 2022 to January 2023, nurses from the Department of Urology of Tongji Medical College Affiliated Union Hospital, Huazhong University of Science and Technology were selected by cluster sampling. From January to June 2022, routine bedside handover management was implemented. In July 2022, a one-month training on the bedside handover management in surgical ward based on the intervention mapping theory was conducted for urology nurses. From August 2022 to January 2023, the bedside handover management in surgical ward based on the intervention mapping theory was implemented. The incidence of handover problems among nurses, the evaluation of handover among nurses, the qualified rate of nurses' disease awareness, and the satisfaction of patients with handover were compared before and after the training.Results:A total of 48 nurses were included. They were the same batch of nurses before and after the training, including 2 males and 46 females, with an age of (32.23 ± 5.50) years. A total of 1 180 inpatients were included before the training, including 921 males and 259 females, with an age of (56.69 ± 17.24) years. After the training, 1 240 inpatients were included, including 946 males and 294 females, with an age of (55.50 ± 18.85) years. The incidence of handover problems among nurses after the training was 3.71% (46/1 240), which was lower than 9.92% (117/1 180) before the training, and the difference was statistically significant ( χ2=37.07, P<0.05). After the training, the total score of handover evaluation for nurses and the qualified rate of nurses' disease awareness were (80.08 ± 3.74) points and 91.67% (44/48) respectively, which were higher than (73.10 ± 3.53) points and 72.92% (35/48) before the training, and the differences were statistically significant ( t=-0.94, χ2=5.79, both P<0.05). The total score of satisfaction with bedside handover of patients after the training was (76.13 ± 4.50) points, which was higher than (67.92 ± 4.64) points before the training, and the difference was statistically significant ( t=-13.99, P<0.05). Conclusions:The bedside handover management plan based on the intervention mapping theory can effectively strengthen the quality of bedside handover, improve the satisfaction with bedside handover of patients, and deepen nursing quality.

Objective:To explore the relationship between suicide attempts,school bullying,and psychological resilience in children and adolescents with major depressive disorder(MDD)and school bullying and psychological resilience.Methods:A total of 784 patients with MDD aged 10 to 18 years were included.The Chinese version of the Olweus Bullying Victimization Questionnaire,Adolescent Psychological Resilience Scale,and a suicide attempt assessment were utilized to evaluate school bullying,psychological resilience,and suicide attempt.Stepwise logistic regression was applied to identify the associated factors of suicide attempts.Results:The occurrence of suicide at-tempts in children and adolescents with MDD was positively associated with physical bullying(OR=1.85,95％CI:1.14-3.02)and indirect bullying(OR=1.48,95％CI:1.06-2.04),and negatively associated with higher levels of goal focus(OR=0.62,95％CI:0.45-0.85)and positive cognition(OR=0.62,95％CI:0.45-0.85)at higher levels.Conclusion:Bullying significantly increases the risk of suicide attempts in children and adolescents with MDD,while higher psychological resilience could mitigate this risk.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Urolithiasis represents a prevalent clinical challenge marked by high recurrence rates and morbidity，with existing preventive strategies struggling to effectively curb its epidemic trajectory，thereby posing a significant threat to public health. The etiology of this condition is intricate，involving a complex network of interactions spanning classical supersaturation-crystallization theory，Randall’s plaque theory，and multifactorial elements such as cellular injury，inflammatory responses，metabolic derangements，the gut-kidney axis，immune dysregulation，and genetic predisposition. However，the critical mechanisms initiating stone formation and the early pathophysiological processes remain incompletely elucidated，constituting the core impasse in current preventive strategies. This review systematically synthesizes classical theories and cutting-edge advancements in urolithiasis etiology research，emphasizing the urgent need to integrate emerging technologies，including high-dimensional omics，advanced imaging modalities，and artificial intelligence，to dissect pivotal pathological nodes in early stone formation. Such interdisciplinary efforts are essential to overcome cognitive bottlenecks and ultimately achieve personalized，precision-based prevention strategies.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.