Objective: To analyze the epidemiological characteristics of category C intestinal infectious diseases among children and adolescents in Shenzhen from 2012 to 2024 and the association with meteorological factors, so as to provide a scientific basis for the targeted prevention and control of infectious diseases for children and adolescents. Methods: Using data from the "Infectious Disease Reporting Information Management System" of the "China Disease Prevention and Control Information System" covering the period from January 1, 2012 to December 31, 2024, the study analyzed clinical and confirmed cases of hand, foot, and mouth disease, other infectious diarrhea, and acute hemorrhagic conjunctivitis among individuals aged 6-19 years old to describe demographic and temporal characteristics. It used Joinpoint regression to calculate the average annual percent change (AAPC) and annual percent change (APC) to analyze incidence trends, and Spearman s correlation was combined to generalize linear models so as to assess the association between category C intestinal infectious diseases and meteorological factors. Results: From 2012 to 2024, a cumulative total of 61 019 cases of hand, foot, and mouth disease among children and adolescents, 58 498 cases of other infectious diarrhea, and 6 377 cases of acute hemorrhagic conjunctivitis were reported. The AAPC in the incidence rates of these three diseases was 19.19%, 31.03% and 31.48 %, respectively(all P <0.05). Notably, the incidence of hand, foot, and mouth disease increased significantly after 2022 (APC= 133.66 %, P <0.01). The temporal distribution showed that hand,foot,and mouth disease was most prevalent in May,June and July (seasonal index of 2.39,3.64,1.97), other infectious diarrhea was most prevalent in February,March and December (seasonal index of 1.22,1.25,1.47), and acute hemorrhagic conjunctivitis peaked in September and October (seasonal index of 4.22,2.16). Monthly average temperature could increase the risk of hand,foot,and mouth disease( β = 0.18 ,95% CI =0.11-0.25); as monthly average wind speed increased, the incidence of other infectious diarrhea ( β =-0.86, 95% CI = -1.50 to -0.22) and acute hemorrhagic conjunctivitis ( β =-1.32, 95% CI =-2.60 to -0.05) both decreased (all P < 0.05 ). Conclusions Among children and adolescents in Shenzhen, category C intestinal infectious diseases remain prevalent throughout the year；the number of reported hand, foot, and mouth disease cases has shown an upward trend in recent years.Temperature and wind speed significantly affect the number of reported cases of three types with category C intestinal infectious diseases.

This study aims to understand the biological characteristics of Streptococcus dysgalacti-ae of yak origin.Bacterial isolation and identification,drug susceptibility test,virulence gene test and pathogenicity test were carried out on milk samples of yaks from Naqu City to evaluate the bi-ological characteristics of the isolated strains.Meanwhile,molecular biological information such as virulence factors and drug resistance genes were analyzed by whole genome sequencing,and viru-lence genes were verified by PCR.The results showed that a strain of Streptococcus dysgalactiae was isolated from the milk of yak,and its colony morphology was pinpoint size,smooth edge and milky white.This strain is sensitive to many antibiotics(penicillin G,cephalosporin,ciprofloxacin,tetracycline,erythromycin,etc.).Virulence gene test results showed that the strain carries six key virulence genes(cyl,eno,scpB,bca,bac and napr),which may be closely related to its pathoge-nicity.In the pathogenicity test,the mice were listless and less active after infection,but no death occurred during the observation period.The pathological changes of spleen,kidney,liver and lung tissue were found,suggesting that the strain had certain pathogenic potential but not high lethali-ty.Whole genome sequencing data showed that the gene length of this strain was 4 079 280 bp,the GC content was 39.41％,3 964 coding genes were predicted,604 of which were annotated as viru-lence factors,and another 28 gene mutations may enhance its pathogenic ability.Through annota-tion of CARD database,two Pat A resistance genes and two lmrp resistance genes were found,re-vealing their potential resistance mechanism.Through whole genome sequencing technology and bioinformatics analysis method,this study revealed the genomic characteristics,drug resistance and pathogenicity mechanism of Streptococcus dysgalactiae of yak origin.The findings provide impor-tant scientific evidence for further exploration of the pathogenicity,drug resistance mechanisms,and molecular evolution of yak-derived Streptococcus agalactiae.

Objective To develop a virtual reality rehabilitation support system and evaluate its effects on improving discharge readiness in caregivers of laryngectomy patients.Methods The system is equipped with a virtual reality-based home nursing skills guidance module for post-laryngectomy patients and an evidence-based artificial intelligence Q&A module.A convenience sampling method was adopted to select 64 caregivers of patients who underwent laryngectomy for the first time in the otorhinolaryngology head and neck surgery department of a tertiary A hospital in Beijing from July 2024 to January 2025 for a systematic study on application effects.To avoid cross-contamination between an experimental group and a control group,ward-based grouping was applied.A coin toss was used to assign Ward 1 to an experimental group and Ward 2 to a control group,with 32 cases in each group.The experimental group received discharge guidance based on the virtual reality technology,while the control group was provided with conventional verbal and written discharge instructions.The readiness for hospital discharge and the quality of discharge teaching scores of caregivers were compared between the 2 groups after the intervention.Results No sample detachment.After the intervention,the patient caregivers in the experimental group scored significantly higher than those in the control group in terms of discharge readiness and quality of discharge guidance,with a statistically significant difference(P＜0.001).Conclusion This study developed the virtual reality rehabilitation system for laryngeal cancer patients demonstrated good feasibility and effectiveness.The application of this system for discharge education significantly improved discharge readiness of caregivers and quality of discharge guidance for post-laryngectomy patients.It also helped with the optimization of health education models,enhancement of nursing resource utilization efficiency,and improvement of transitional care.

Objective To investigate the effect and potential mechanism of rat mesenchymal stem cells(MSC)on D-galactose-induced brain-tissue aging.Methods A rat brain-aging model was established by injecting D-galactose,and rats in the treatment group received MSC injections via the tail vein.Superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels were assessed in rat brain tissue at the end of the experiment,and pathological changes in brain tissue were observed by hematoxylin-eosin(HE)staining.Expression levels of the inflammatory factors interleukin(IL)-1 and IL-6,the pathway proteins brain-derived neurotrophic factor(BDNF)-tropomyosin receptor kinase B(TrkB),the negative growth regulators p53 and p16,as well as vascular endothelial growth factor(VEGF)and basic fibroblast growth factor(bFGF)were observed by polymerase chain reaction(PCR)and Western Blot.Results Brain levels of SOD activity were significantly increased and MDA levels were significantly decreased in rats in the modle group compared with the treatment group(P＜0.05).The pathological state of the cerebral cortex and hippocampus were improved and the number of neurons and nucleus pulposus ratio in the brain were increased in the treatment group,as shown by HE staining.Expression levels of IL-1,IL-6,p53,and p16 were significantly decreased,while BDNF,TrkB,VEGF,and bFGF were significantly increased in the treatment group compared with the model group,as shown by PCR and Western Blot(P＜0.05).Conclusions These result suggest that MSCs potentially mitigate D-galactose-induced cerebral senescence by concurrently modulating the BDNF-TrkB axis to attenuate oxidative/inflammatory damage,while enhancing the secretion of vasculotrophic(VEGF)and neurotrophic(bFGF)factors for neuronal maintenance.

Objective To understand the molecular epidemiological characteristics and hypervirulence evolution trend of ST11 carbapenem-resistant Klebsiella pneumoniae(CRKP)isolated from medical institutions in Shanghai,and provide scientific basis for formulating the prevention and control measures of drug-resistant organisms.Methods A total of 201 strains of CRKP isolated from 12 medical institutions in Shanghai from 2021 to 2022 were collected.Antimicrobial susceptibility testing and whole genome sequencing were performed.The concatenated data was used for multilocus sequencing typing(MLST),serum typing(wzi typing),as well as analysis of resistance and viru-lence genes.Results All 201 CRKP strains were multidrug-resistant organisms(MDROs).These strains were al-most completely resistant to carbapenems,cephalosporins,and quinolones.Drug resistance gene analysis showed that 93.03％of CRKP strains carried KPC gene.201 CRKP strains were divided into 6 ST types and 10 capsule wzi types,with ST11-KL64(n=104)being the dominant type,followed by ST15-KL19(n=54).52.24％(n=105)of CRKP carried rpmA/rpmA2+iucA+iutA+iroN genes.Conclusion CRKP isolated from medical institutions in Shanghai is mainly ST11-KL64 type with severe multidrug resistance,and more than half of the strains are hyper-virulent carbapenem-resistant Klebsiella pneumoniae(hv-CRKP).It is necessary to continuously strengthen the monitoring of the molecular characteristics of CRKP,so as to prevent outbreaks of healthcare-associated infection.

Objective To explore the correlation between diffusion weighted imaging(DWI)and intravoxel incoherent motion(IVIM)imaging parameter values in the marginal and central areas of cervical cancer tissue and the pathological characteristics of cervical cancer.Methods Forty-six patients with cervical cancer were selected and classified based on pathology results.Region of interest(ROI)were drawn in the marginal and central areas of each lesion on DWI and IVIM images respectively.And the statistical significance of each parameter of the lesion was compared and analyzed.Results The apparent diffusion coefficient(ADC)and D values measured in the marginal area between different groups were statistically significant than those in the central area(P＜0.05).The ADC and D values of cervical squamous cell carcinoma in the marginal area were lower than those of adenocarcinoma,the D value had the best discrimination ability.In distinguishing moderate and low differentiation of cervical squamous cell carcinoma,the D value of the marginal area had the best discriminative ability.In distinguishing high and low differentiation of cervical squamous cell carcinoma,the ADC and D values of the marginal area had equivalent discriminative ability.Conclusion The parameter values in the marginal area of cervical cancer lesions are statistically significant than those in the central area.Among the different pathological classifications of cervical cancer,the D value in the marginal area has better discrimination ability and can more truly reflect the pathological characteristics of cervical cancer.

To construct a safe and effective multi-epitope vaccine against the S1 protein of chicken infectious bronchitis virus(IBV).In this study,homologous and non-homologous dominant epitopes of IBV M41,T,QX and H120 virulent strain S1 proteins were screened by various online bioprediction software,respectively,and a new peptide W with high immunogenicity was construc-ted by connecting the screened B-cell and T-cell epitopes with a linker peptide.W was ligated to the truncated sequence of the four viral strains by T2A yietding to the eukaryotic expression vector pEGFP-N1,and it was identified by PCR and double digestion,the obtained recombinant plasmid was transfected into HEK293A cells and target protein expression was measured by Western blot.The constructed plasmid was injected intramuscularly twice to detect the antibody level,cytokine level,and peripheral blood T cell subsets were detected after two immunizations.The epitope pro-tein W was successfully constructed,which was structurally stable,antigenic,and soluble;the re-combinant plasmid pEGFP-WMQtH,pEGFP-W,and pEGFP-MQtH matched the expected size;anti-IBV IgG antibody levels in pEGFP-N1 was increased greatly compared to the PBS group.cyto-kines IL-2,and γ interferon(IFN-γ)were increased greatly(P＜0.05);peripheral blood CD4+/CD8a value(P＜0.05)was increased greatly.The W epitope protein was successfully constructed,which can effectively activate the humoral immunity and cellular immunity against four infectious bronchitis viruses(IBV),laying a foundation for the development of an effective vaccine against IB.

Objective:To explore the differences in sociodemographic and clinical characteristics between pa-tients with unipolar depression bipolar depression and to establish a nomogram for identifying bipolar depression.Methods:Using data from the China Mental Disorders Cohort Study,the sociodemographic and clinical characteristics of 2 643 patients with unipolar depression and 250 patients with bipolar depression diagnosed accord-ing to the criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)were includ-ed to compare their sociodemographic and clinical characteristics.These characteristics included general demograph-ic information,disease-related information,clinical examination results,and the severity of the disease assessed with the Global Assessment of Functioning(GAF)and Hamilton Depression Rating Scale.Logistic regression analysis was employed to identify factors influencing bipolar depression,and a nomogram was constructed for its identifica-tion.Results:The risk factors for bipolar depression included being male(OR=1.48),being employed(OR=1.38),having non-melancholic features during episodes(OR=2.33),a Body Mass Index ranging from normal to obese(OR=2.48,2.49,4.65),psychotic features(OR=2.14),mixed episode(OR=9.36),comorbid physical diseases(OR=2.47),four or more depressive episodes(OR=1.67),earlier age of onset(OR=0.95),longer ill-ness duration(OR=1.03),and higher GAF scores(OR=1.02).The nomogram model achieved an AUC of 0.81(95％CI:0.78-0.84).The Hosmer-Lemeshow test result was x2=6.96(P＞0.05),indicating good model fit.The calibration curve showed good performance.The decision curve analysis revealed that the nomogram pro-vides significant clinical benefit when the risk of bipolar depression was within the range of 0 to 0.9.Conclusion:The nomogram established based on the identified sociodemographic and clinical factors can accurately assess the risk of bipolar depression,providing a useful tool for early identification and intervention.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.

To construct a safe and effective multi-epitope vaccine against the S1 protein of chicken infectious bronchitis virus(IBV).In this study,homologous and non-homologous dominant epitopes of IBV M41,T,QX and H120 virulent strain S1 proteins were screened by various online bioprediction software,respectively,and a new peptide W with high immunogenicity was construc-ted by connecting the screened B-cell and T-cell epitopes with a linker peptide.W was ligated to the truncated sequence of the four viral strains by T2A yietding to the eukaryotic expression vector pEGFP-N1,and it was identified by PCR and double digestion,the obtained recombinant plasmid was transfected into HEK293A cells and target protein expression was measured by Western blot.The constructed plasmid was injected intramuscularly twice to detect the antibody level,cytokine level,and peripheral blood T cell subsets were detected after two immunizations.The epitope pro-tein W was successfully constructed,which was structurally stable,antigenic,and soluble;the re-combinant plasmid pEGFP-WMQtH,pEGFP-W,and pEGFP-MQtH matched the expected size;anti-IBV IgG antibody levels in pEGFP-N1 was increased greatly compared to the PBS group.cyto-kines IL-2,and γ interferon(IFN-γ)were increased greatly(P＜0.05);peripheral blood CD4+/CD8a value(P＜0.05)was increased greatly.The W epitope protein was successfully constructed,which can effectively activate the humoral immunity and cellular immunity against four infectious bronchitis viruses(IBV),laying a foundation for the development of an effective vaccine against IB.