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.

Objective: To analyze the epidemiological characteristics of varicella among nursery children in Shenzhen from 2015 to 2024, and to evaluate the impact of optimizing varicella vaccine (VarV) immunization strategies on varicella incidence. Methods: Varicella incidence data for nursery children in Shenzhen from 2015 to 2024 were obtained from the China Disease Prevention and Control Information System. The study period was divided into three phases:one dose self pay VarV (January 2015 to October 2017), two dose self pay VarV (November 2017 to October 2019), and two dose free VarV (November 2019 to December 2024). Interrupted time series (ITS) analysis was conducted to assess changes in the level and trend of varicella incidence associated with each phase of policy implementation. Results: A total of 27 517 varicella cases was reported among nursery children from 2015 to 2024, with an average annual incidence of 514.01/100 000. During the same period, 136 clustered outbreaks were reported in nursery institutions, involving a cumulative total of 1 091 cases. ITS analysis showed that during the self pay 1 dose stage, the varicella incidence among nursery children showed an upward trend, with an average monthly increase of 2.58/100 000 (95% CI =2.21/ 100 000 -2.95/100 000, P <0.01). After the implementation of the self pay 2 dose strategy, the incidence decreased, with a change in incidence of -26.12/100 000 (95% CI =-37.30/100 000 to -14.94/100 000) and a change in slope of -2.65/100 000 (95% CI = -3.38/100 000 to -1.93/100 000)(all P <0.01). After the implementation of the free 2 dose strategy, the incidence decreased further, with a change in incidence of -40.03/100 000 (95% CI =-50.39/100 000 to -29.66/100 000, P <0.01) and a change in slope of -0.56/100 000 (95% CI =-1.20/100 000-0.08/100 000, P =0.09). Conclusion The gradual optimization of the VarV vaccination strategy in Shenzhen from self pay 1 dose to free 2 dose has significantly reduced the varicella incidence among nursery children, demonstrating good short term control and long term intervention effectiveness.

Objective: To assess the epidemiological, drug resistance, and their relative risk and prevalence for yielding clinical diseases ofStreptococcus mitisgroup(SMG) bloodstream infections in recent years. Methods : A total of 50 blood culture specimens were collected from patients with SMG bloodstream infection. These SMG isolates were identified by matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS). The susceptibility to antibiotics was tested by minimal inhibitory concentrations and Kirby-Bauer(K-B) disk diffusion methods. The data were comprehensively analyzed by statistical software combined with clinical data. Results : Five strains were identified in SMG bloodstream infection by mass spectrometry, namelyStreptococcus oralis/mitis(S.oralis/mitis),Streptococcus pneumonia(S.pneumonia),Streptococcus gordonii(S.gordonii),Streptococcus sanguinis(S.sanguinis), andStreptococcus parasanguinis. These SMG showed high resistance to erythromycin and clindamycin, but low resistance to penicillin, ampicillin and ceftriaxone. Reduced hemoglobin and albumin, elevated C-reactive protein and procalcitonin were the common hematological changes in patients with SMG bloodstream infections. In SMG bacteremia,S.gordonii,S.sanguinisandS.orals/mitiswere the leading group causing infective endocarditis. Patients with myocardial disease factor were more likely to cause infective endocarditis byS.gordoniiandS.sanguinis, compared withS.orals/mitis.S.oralis/mitisbacteremia more occurred in patients with renal transplants progressing to pulmonary infection. Conclusion In this area, β-lactam antibiotics are the best choice for treating SMG. SMG species with closely related phylogenetically show different prevalence and risk of clinical disease in bloodstream infection patients. Early prevention and diagnosis of bacteremia caused by SMG are necessary for clinical diagnosis, treatment and effective control of infectious diseases progression.

Objective To explore the relationship between blood glucose variability, disease severity and prognosis of the patients with acute pancreatitis. Methods Total of 242 patients with acute pancreatitis admitted to the department of emergency from January 2019 to December 2019 were enrolled. The organ failure was evaluated according to Marshall's score, the severity of the disease was evaluated according to Atlanta's score, and the blood glucose indexes of three groups of patients with mild acute pancreatitis, moderate severe acute pancreatitis and severe acute pancreatitis were compared within seven days after admission. The relationship between blood glucose index and disease severity in different patients with acute pancreatitis was analyzed. Taking whether a puncture was performed at admission, whether the patient was admitted to the intensive care unit (ICU), and whether the patient died as endpoint events as classification factors, the relationship between blood glucose indicators and disease prognosis of patients with acute pancreatitis was analyzed using the One-Way ANOVA, Kruskal-Wallis test, Mann-Whitney U test, receiver operating characteristic curve (ROC curve), etc. Results Of the 242 patients, 70 cases (28.9%) were mild acute pancreatitis, 71 cases (29.3%) with moderate severe acute pancreatitis, 101 cases (41.7%) with severe acute pancreatitis. There was no statistically significant difference in the coefficient of variation of blood glucose among the three groups within 7 days of admission. The mean, standard deviation, maximum, minimum value and difference between maximum and minimum value of venous blood glucose in severe acute pancreatitis group were higher than those in moderate severe acute pancreatitis group, while those in moderate severe acute pancreatitis group were higher than those in mild acute pancreatitis group. The mean value of blood glucose of invasive operation group (IOP) (n=55) was higher than that of non-invasive operation (NOP) group(n=187). Conclusions The blood glucose level and fluctuation range of patients with acute pancreatitis within seven days after admission, are of great significance for the judgment of the severity and prognosis of the disease.

Drug development encompasses multiple processes,wherein protein subcellular localization is essential.It promotes target identification,treatment development,and the design of drug delivery systems.In this research,a deep learning framework called LocPro is presented for predicting protein subcellular localization.Specifically,LocPro is unique in(a)combining protein representations from the pre-trained large language model(LLM)ESM2 and the expert-driven tool PROFEAT,(b)implementing a hybrid deep neural network architecture that integrates convolutional neural network(CNN),fully connected(FC)layer,and bidirectional long short-term memory(BiLSTM)blocks,and(c)developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels.Additionally,a dataset was curated and divided using a homology-based strategy for training and validation.Compar-ative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction.The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization.All in all,LocPro serves as a valuable complement to existing protein localization prediction tools.The web server is freely accessible at https://idrblab.org/LocPro/.

Objective To explore the impacts and fundamental mechanisms of the PU.1 inhibitor DB2313 on the immune function in MRL/lpr mice.Methods A total of thirty MRL/lpr lupus mice were randomly distributed into three separate groups:the model control group,the PU.1 inhibitor DB2313 treatment group(administered at a dose of 17 mg/kg),and the positive drug control Telitacicept(TACI-Ig)group(administered at a dose of 7.5 mg/kg).Furthermore,a group of ten BALB/c mice were assigned as the normal group.The DB2313 administration group was treated with intraperitoneal injections of the drug on three occasions per week,while the TACI-Ig group received subcutaneous injections every second day;both treatment protocols were maintained for a duration of five weeks.Both the control group and the model group were administered intraperitoneal injections of a volume of sa-line that was equivalent across groups.After the drug was given,mice were sacrificed by dislocation after orbital vein blood collection.The thymus and spleen were aseptically excised,individually weighed,and subsequently uti-lized to compute the thymus index and spleen index.The relative distribution of T lymphocyte subsets within the spleen was ascertained through flow cytometry.Serum concentrations of anti-nuclear antibodies(ANA)and anti-double-stranded DNA antibodies were quantified using an enzyme-linked immunosorbent assay(ELISA).The lev-els of inflammatory factors interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),interferon-γ(IFN-γ)were meas-ured by CBA method.Hematoxylin and eosin(HE)staining was employed to examine pathological alterations in the spleen.The expression of PU.1 and IL-9 in spleen tissue was detected using immunohistochemistry.Addition-ally,the expression level of PU.1 protein in the spleen tissue was ascertained through Western blot analysis.Re-sults The administration of DB2313 significantly ameliorated spleen lesions in MRL/lpr mice and decreased the levels of anti-ds-DNA,ANA,TNF-α,IL-6,and IFN-γ.It also reduced the proportion of total T cells,TFH cells,Th17 cells,and Th9 cells in the mouse spleen,while increasing the proportion of Treg cells.Furthermore,it low-ered the level of PU.1 protein in the spleen.Immunohistochemistry results demonstrated that DB2313 treatment sig-nificantly diminished the expression of PU.1 and IL-9 in spleen tissue.Conclusion The PU.1 inhibitor DB2313 can improve spleen lesions in MRL/lpr mice and slow the progression of the disease,and its mechanism is related to the regulation of immune cell functions.

Autophagy is a cellular self-degradation process that maintains homeostasis and has been shown to promote tumor progression in advanced stages.Pancreatic cancer cells and the surrounding stromal cells exhibit high levels of autophagy.Therefore,targeting au-tophagy has emerged as a promising therapeutic strategy for pancreatic cancer.This review focuses on research targeting autophagy in pancreatic cancer treatment,elaborating on the roles and underlying mechanisms of autophagy in pancreatic cancer cell proliferation,metas-tasis,modulation of the tumor immune microenvironment,and drug resistance.Additional-ly,we summarize preclinical and clinical studies investigating autophagy-targeted therapies both as monotherapy and in combination with other treatments,aiming to provide new theo-retical rationale and therapeutic strategies for pancreatic cancer management.

BACKGROUND:Studies have shown that immune cells are involved in all processes of ischemic stroke,in which cuproptosis also plays a key role.OBJECTIVE:To screen diagnostic biomarkers related to the progression of ischemic stroke through bioinformatics,and analyze and validate cuproptosis-related genes closely related to the occurrence and development of ischemic stroke.METHODS:The GSE16561 microarray was obtained from the GEO database,containing data from 39 cases of ischemic stroke(ischemic stroke group)and 24 controls(control group).Differentially expressed genes from the ischemic stroke microarray data were analyzed.Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed.By using LASSO and Random Forest methods,key genes affecting the occurrence and development of ischemic stroke were screened,and a diagnostic model was established and validated.Differential gene analysis was performed through immune cell infiltration and weighted gene co expression network.The differentially expressed immune-related genes were intersected with cuproptosis genes to obtain the hub genes related to cuproptosis immunity.In vitro cell experiments were conducted to divide rat hippocampal neurons into a normal group and an ischemic stroke group,and qPCR experiments were performed to verify the results.RESULTS AND CONCLUSION:(1)573 differentially expressed genes were obtained by differential analysis.Differentially expressed genes were mainly enriched in biological processes,such as positive regulation of immune response,and signaling pathways such as lipid and atherosclerosis.(2)Machine learning methods were used to screen diagnostic genes such as MFN2,PKM2,CREG1,and FOXO3A,which may have some diagnostic value for ischemic stroke.(3)Immune infiltration analysis revealed resting plasma cells,NK cells,macrophages,etc.,indicating that immune cells play a certain role in the pathogenesis of ischemic stroke.(4)Weighted gene co-expression network analysis combined with immune infiltration analysis obtained 118 key module genes,which were intersected with cuproptosis genes to obtain 2 cuproptosis and immune characteristic genes.The correlation analysis between four diagnostic genes and Hub genes showed that the expression of FOXO3A and MFN2,PKM2 and BCL2L1,MTF1 and MFN2,ATP7B and BCL2L1 were correlated.(5)The qPCR results showed significant differences in the genes MTF1 and ATP7B between the ischemic stroke group and the blank group.To conclude,ATP7B and MTF1 can serve as characteristic genes for cuproptosis in ischemic stroke.It is possible to improve ischemic stroke by intervening in ATP7B and MTF1 to regulate cuproptosis.

Purpose To achieve intelligent detection of acute pulmonary embolism(APE)in CT pulmonary angiography based on the Res2Net attention mechanism network.Materials and Methods Retrospectively included patients with suspected of APE who underwent CT pulmonary angiography examination and were diagnosed as APE at the First Affiliated Hospital of Henan University of Chinese Medicine from February 2015 to May 2023.The dataset was randomly divided into training,validation and test set in a ratio of 7∶2∶1.The model was trained based on the Res2Net network,combined with atrous spatial pyramid pooling and attention mechanism modules,and was performed five-fold cross internal validation.Using the area under the receiver operator characteristic curve,sensitivity and specificity to assess the diagnostic performance of the model.Dice similarity coefficient,precision and intersection over union(IOU)were used to assess the segmentation performance of thrombus on the test set and plot the corresponding curves.The performance of the Res2Net attention mechanism network was compared with the classic U-Net and CE-Net model.Results A total of 303 patients with APE were included in this study.There were 212,61 and 30 cases in the training set,validation set and test set,respectively.The model's area under the curve was 0.95,sensitivity was 0.90,specificity was 1.00,Dice similarity coefficient was 0.86,precision was 0.90,Pos-IOU was 0.78 and Neg-IOU was 1.00,respectively.The parameter curves and radar chart showed that the Res2Net attention mechanism network performed better than the U-Net and CE-Net models.The visualization results of the segmentation comparison showed that the Res2Net attention mechanism network achieved higher precision in segmenting pulmonary artery thrombus.Conclusion The Res2Net attention mechanism network has good performance for detection of APE.