Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

OBJECTIVE To investigate the epidemiological characteristics of hospital-associated infections caused by multidrug-resistant organisms(MDROs)among the burn wound patients so as to provide bases for taking tar-geted control measures.METHODS A systematic search was conducted in the worldwide database for nosocomial outbreaks,PubMed and CNKI databases so as to summarize and analyze the data regarding to outbreaks of MDROs hospital-associated infections among burn wound patients.RESULTS A total of 61 incidents of MDROs hospital-associated infections outbreaks among the burn wound patients were included,involving 2 293 patients from 21 countries and regions,50(81.97％)of which were reported for the infection sites or colonization sites in-volving burn wound,12(19.67％)involving the respiratory tract,10(16.39％)involving the bloodstream infec-tions.Methicillin-resistant Staphylococcus aureus(28 incidents,45.90％)was dominant among the pathogens causing the infections,followed by multidrug-resistant Acinetobacter baumannii(17 incidents,27.87％)and multidrug-resistant Pseudomonas aureus(9 incidents,14.75％).52 incidents(82.25％)of outbreaks were reported the contact as the major transmission mode.The suspected sources of the outbreaks included the patients(37 incidents,28.46％),health care workers(30 incidents,23.08％),ward environments(28 incidents,21.54％),medical equipments(19 incidents,30.56％),drainage systems(6 incidents,4.62％).The major pre-vention and control measures included environmental cleaning and disinfection,screening of colonization in patients and health care workers,isolation of patients with infections and hand hygiene;8 incidents were taken the measure of closing the ward.CONCLUSIONS The outbreaks of MDROs infections in the burn wound patients are mostly associated with the high frequently contact environments,medical equipments and hand hygiene of health care workers.In view of the peculiarities of the burn wound patients,it is feasible to take the targeted measures based on the summarized prevention and control combinations for MDROs so as to prevent the outbreak of hospital-asso-ciated infections.

OBJECTIVE To understand the current management status of the special campaign for enhancing the pathogen detection rate before antimicrobial therapy in hospitalized patients in China,analyze identified issues dur-ing implementation,and propose improvement suggestions.METHOD A questionnaire survey was conducted to collect data from medical institutions participating in the special campaign within the region from May to Jul.2024,covering aspects such as quality control management,coordination mechanisms,data sources,indicator connotations and existing issues.RESULTS Variations were observed among medical institutions in the manage-ment of pathogen detection rates,primarily reflected in inconsistent usage of detection rate indicators,varying im-plementation levels of quality control measures and differences in multi-departmental participation.Additionally,discrepancies in data sources,statistical methods and interpretations of indicator connotations limited the compara-bility of data.CONCLUSIONS To address these issues,improvement measures such as strengthening informatiza-tion construction,standardizing indicator statistical methods and enhancing multi-departmental coordination mech-anisms should be implemented.These efforts will provide a scientific basis for the implementation of special cam-paign and robust support for the rational use of antimicrobial agents.

Objective To explore the role in sleep staging from blood volume pulse(BVP)and triaxial acceleration(ACC)of body movement obtained by wristband.Methods The BVP and ACC obtained by Empatica E4 wristband were used from all 100 cases of sleep disorder subjects in the DREAMT public database.Two frequency domain characteristics(eS,LF/HF)and one time domain characteristic(vA)of the BVP baseline and the activity counts(CS)of the ACC were used for sleep-awakening classification based on random forest.Results The results of sleep-awakening classification of all 100 cases of sleep disorder subjects were obtained by leaving-one-out strategy.The accuracy is 79.8%and the Kappa coefficient is 0.56 by 4 features from BVP and ACC;the accuracy is 70.4%and the Kappa coefficient is 0.36 by 3 features of BVP;the accuracy is 75.1%and the Kappa coefficient is 0.47 based on activity counts.Conclusion The BVP and ACC obtained by the wristband can be used for the rough estimation of sleep and awakening for sleep disorder subjects,among which the importance of ACC is higher than that of BVP.

Background As one of the key populations in the prevention and treatment of iodine deficiency disorders, it is important to continuously monitor the iodine nutritional level of school-age children. The current reference interval for thyroid volume in China is based on age only, without taking into account differences in individual developmental levels, and the distribution of thyroid volume may vary regionally due to economic, demographic, and environmental factors. The current reference cut-off points for thyroid volume proposed by the World Health Organization are not based on the Chinese population. Objective To understand the iodine nutritional status and distribution of thyroid volume (Tvol) among children aged 8-10 years in Huangpu District, Shanghai, China, to identify impact factors of Tvol, and to propose a reference range upper limit for local thyroid health surveillance, so as to provide a basis for goiter control and prevention. Methods Six hundred children aged 8-10 years in Huangpu District were recruited in 2017, 2020, and 2023, and body height, weight, thyroid volume, urinary iodine, and iodine content of household edible salt were determined. A multilevel model was constructed using population density and area as regional variables, and age, body surface area (BSA), and body mass index (BMI) as potential impact factors for at the individual level, to assess their effects on thyroid volume. Quantile regression of thyroid volume was performed, and the 98th percentile (P₉₈) of thyroid volume was predicted based on age and BSA. Results The iodized salt coverage in the households of surveyed children in 2017, 2020, and 2023 was 72.0%, 57.0%, and 48.0%, respectively, and the iodized salt coverage decreased by year (χ²=24.31, P<0.001). The urinary iodine level of children in 2017 was higher than that in 2020 and 2023 (χ²=18.77, P<0.001). The Tvol medians of children in 2017, 2020, and 2023 were 2.29, 2.49, and 2.97 mL, respectively, and the Tvol increased by year (χ²=60.04, P<0.001). The proportion of goiter was higher in children in 2023 than in 2017 and 2020 (χ²=6.57, P<0.05). Sex differences were not statistically significant for urinary iodine levels, thyroid volume, and goiter. The median Tvol was 2.26, 2.58, and 2.76 mL in children of 8, 9, and 10 years old respectively, and the Tvol increased with age (χ²=49.02, P <0.001). Tvol was positively correlated with age, BSA, and BMI with correlation coefficients of 0.2846, 0.3723, and 0.2950, respectively. The final quantile regression model showed that the strongest effect of BSA was associated with the 98th percentile of Tvol. Multilevel models considering population density or area as regional variables failed to achieve convergence. Conclusion To establish the upper limit of the reference interval for thyroid volume of healthy children in Huangpu District, the effects of age and BSA should be considered at the individual level, and the upper limit of the normal interval for goiter screening is suggested to be the 98th percentile value of BSA at the same age. In addition, the adaptability of population density and regional area as indicators of regional aggregation of thyroid volume distribution still needs to be further explored.

Objective: To assess the nutritional supply status of school meals for primary and secondary school students in Henan Province, so as to provide a basis for scientific guidance of school meals. Methods: During 2021-2023, 115 lunch and dinner samples were collected from 25 primary and secondary schools in Zhoukou, Anyang and Luoyang of Henan Province by a direct selection method, and 13 nutrients were determined for each sample. The nutrient supply was evaluated based on Nutrition Guidelines of School Meals and Reference Intake of Dietary Nutrients for Chinese Residents (2023 Edition). Mann-Whitney U test was used to compare the differences of nutritional supply between urban and rural schools. Results: The median values for energy (709.77 kcal,1 kcal=4.18 kJ), fat energy supply ratio (0.27) and carbohydrate energy supply ratio (0.55) in the 66 lunches and dinners from primary school were within the recommended range. The supply of protein (28.39 g) and sodium (1 464.59 mg) was excessive. The median values of zinc (2.62 mg) and dietary fiber (5.19 g) were lower than the reference values. No statistically significant differences were observed in the supply of 13 nutrients between urban and rural primary schools( U = 427.00 -633.00, P > 0.05 ). Among 49 samples from secondary schools, the median value of energy supply (930.02 kcal), carbohydrate energy ratio ( 0.54 ) and fat energy supply ratio(0.25) were within the recommended range; and the median values of protein (38.82 g) and sodium (2 556.80 mg) were higher than the standard; and the median values of calcium (250.32 mg) and vitamin B1 (0.16 mg) were lower than the standard. Additionally, the differences in the level of vitamin B2 ( U =372.00) and zinc ( U =375.00) between the urban and rural secondary schools were statistically significant ( P <0.05). Conclusion Nutrient supply of primary and secondary school meals in three cities of Henan Province is inadequate and imbalanced, and the recipe need to be further optimized and improved.

Objective To analyze differentially expressed proteins(DEPs)in the hippocampal tissue of an amyloid-beta 1-42(Aβ1-42)-induced Alzheimer's disease(AD)rat model using Tandem mass tag(TMT)-based quantitative proteomics,followed by bioinformatic analysis to explore potential AD mechanisms.Methods Twelve male Sprague-Dawley(SD)rats were randomly assigned to a control group(n=6)and a model group(n=6).The AD model was established by bilateral hippocampal injection of Aβ1-42 in the model group,while the control group received an equivalent volume of saline.Cognitive function was assessed using the novel object recognition test,and hippocampal Aβ deposition was detected by immunofluorescence.DEPs were identified using TMT-based proteomics and subsequently analyzed via Gene Ontology(GO)annotation,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment,and protein-protein interaction(PPI)network analysis.Key DEPs were validated using parallel reaction monitoring(PRM)technology.Results The model group exhibited a significantly lower novel object recognition index(P<0.01)and significantly increased hippocampal Aβ deposition(P<0.01)compared to the control group.Proteomic analysis identified 183 DEPs(87 upregulated,96 downregulated).GO analysis revealed that DEPs were primarily enriched in processes such as amyloid-beta binding and ion transmembrane transport.KEGG analysis indicated significant enrichment in 42 pathways,including dopaminergic synapse,glutamatergic synapse,cholinergic synapse,and long-term potentiation.Ten core DEPs were identified from the PPI network,and PRM validation confirmed expression trends consistent with the TMT results.Conclusion Aβ1-42-induced AD involves the synergistic action of multiple targets,biological processes,and pathways.The activation of glutamatergic and dopaminergic synaptic signaling pathways,mediated by core DEPs(e.g.,Th、D1、VGLUT2、GluN2A、GluA1、GluA3、Shank1、DARPP-32、PKC-δ、PKC-α、PKA C-β、CaMKⅡα、PTK2B),likely represents a key molecular mechanism in this AD model,providing a basis for identifying potential therapeutic targets.

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.