Objective: To investigate the environmental contamination of norovirus in nurseries and primary/secondary schools, so as to provide a scientific basis for effective prevention and control measures. Methods: A total of 483 external environmental samples were collected from 34 cluster outbreaks of norovirus gastroenteritis in kindergartens and primary/secondary schools in Linhai City from 2021 to 2024. Pathogen detection was conducted using a rapid nucleic acid extraction kit and realtime fluorescence RT-PCR, and the results were analyzed using the χ2 test or Fishers exact test. Results: Among the collected external environmental samples, the total positive rate of surface contamination was 13.66%. The positive rates in kindergartens and primary/secondary schools were 12.20% and 15.82%, respectively. In kindergartens, the five surfaces with the highest detection rates were desks/chairs (23.33%), toilet stool troughs (20.69%), urinal troughs (12.00%), washbasins/sinks (11.11%), and toilet mops (9.38%). In primary/secondary schools, the top five were toilet stool troughs (38.30%), urinal troughs (23.53%), toilet door handles (13.04%), toilet mops (12.50%), and drinking cups (11.11%). The difference in positive detection rates among different external environments in primary/secondary schools was statistically significant (Fishers exact probability test, P<0.01). The positive detection rate in sanitary toilets was higher than that in classroom environments (χ2=17.38), while the positive detection rate in classroom environments of kindergartens was higher than that in primary/secondary schools (χ2=5.42)(P<0.05). Conclusions Norovirus exhibits a high contamination rate in nurseries and schools, particularly in restroom areas. Strengthening sanitation and disinfection in highrisk environments, and improving hygiene awareness among children and staff, are essential for the effective prevent and control of norovirus.

Objective To study the spatial distribution of the incidence of pulmonary tuberculosis in Hubei Province and its influencing factors, so as to improve the theoretical basis for scientific development of tuberculosis prevention and control measures in the future. Methods The data of reported incidence of tuberculosis and related influencing factors in various counties and districts of Hubei Province in 2020 were collected. Global Moran's I index, hotspot analysis and geographically weighted regression (GWR) model analysis were used to calculate the spatial autocorrelation of the incidence of tuberculosis, and to analyze the influencing factors affecting the incidence rate of tuberculosis. Results There were obvious regional differences in the space distribution of the incidence rate of tuberculosis. Hot spot analysis showed positive spatial correlation and obvious clustering. The GWR model (AICc=784.251) in this study had higher AICc value compared to the ordinary least squares regression (OLS) model (AICc=804.2585). The GWR model showed that the increase in the proportion of the population aged 65 and above and the proportion of the ethnic minority population had a significant promoting effect on the increase of the incidence rate of tuberculosis, and there was significant spatial heterogeneity. The effect of PM_2.5 concentration on the incidence rate of pulmonary tuberculosis varied in different regions, and the degree of effect was also different. Conclusion The proportion of people aged 65 and above and the proportion of ethnic minorities may significantly influence the incidence of pulmonary tuberculosis. The effect of PM_2.5 concentration varies in different regions, so targeted measures should be formulated according to the situation in different regions.

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

Objective:To explore the relevant factors affecting the accuracy of scanning glucose monitoring (FGM) technology in critically ill patients.Methods:A total of 53 patients who were admitted to the Intensive Care Unit (ICU) of the Second Affiliated Hospital of Soochow University and used FGM glucose monitoring from September 2022 to December 2023 were selected by means of a convenience sampling method. The paired data of arterial blood glucose and FGM glucose were analysed. The accuracy of FGM blood glucose measurement in critically ill patients was evaluated using Bland-Altman analysis. The blood glucose data were divided into two groups: the FGM monitoring accuracy group and the FGM monitoring non-accuracy group.. The t-test and χ2 test were used for the comparison of one-way analysis of arterial versus FGM accuracy among critically ill patients with different demographic characteristics. Logistic regression analysis was used to analyze the factors influencing the accuracy of FGM. Results:The results of Bland-Altman analysis of the 53 patients indicated that the mean bias value of FGM blood glucose was elevated at 1.215 mmol/L in comparison with arterial-blood gas analysis blood glucose values. An incidence of exceeding the upper and lower limits of the range was observed, amounting to 6.349%. The discrepancy between the studies was found to be statistically significant (95% CI:1.0394~1.3908, P<0.001). The effects of the changes in height ( OR=0.877, 95% CI:0.780~0.987, P=0.029), changes in leukocyte counts( OR=0.917, 95% CI:0.868~0.969, P=0.002), changes in C-reactive protein( OR=1.009, 95% CI:1.002~1.017, P=0.016), changes in albumin counts( OR=0.986, 95% CI:0.974~0.999, P=0.031), and whether or not sepsis ( OR=3.937, 95% CI:1.192~13.008, P=0.025) on the accuracy of FGM had a statistically significant. Conclusion:The mean bias value of the accuracy of FGM was relatively higher compared with that of arterial blood gas analysis blood glucose values, and the influencing factors involved height, white blood cells, C-reactive protein, albumin, and whether or not sepsis was present. With the development of science and technology, applying the FGM system to critically ill patients has an absolute advantage in determining the overall glycemic trend, and the application value of FGM technology deserves further study.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To analysis the laws and regulations related to human genetic resources, this study analyzed the current management status and trends at home and abroad, explored the related issues of human genetic resources data management, and provided reference for further promoting and standardizing the management of human genetic resources data in my country.Methods:This article analyzed the current management status of human genetic resources data from three levels: relevant policies, management frameworks, data platforms and sample databases through literature review and expert consultation and policy research.Results:Countries paid more and more attention to human genetic resources, and the construction of my country′s human genetic resources management system is constantly advancing and improving. In the data era, the management of human genetic resources was facing new problems and challenges, requiring further strengthening the research and management of relevant data.Conclusions:At present, the management of human genetic resource data in my country needs to be strengthened. On the one hand, it is necessary to promote the implementation and coordinated management of specific systems on human genetic resources data. On the other hand, it is necessary to strengthen the effective protection and sharing of human genetic resource data.

Objective To investigate the expressions of extracellular matrix metalloproteinase inducer(EMMPRIN),matrix metalloproteinase-9(MMP-9),lysine demethylase 6B(KDM6B)proteins and their correlation with clinicopathologic features in invasive breast cancer,and analyze the correlation among the three proteins and their value in pathological diagnosis of invasive breast cancer.Methods The surgical biopsy specimens of 124 patients with invasive breast cancer who were admitted to the Department of Pathology,the Fifth Clinical Medical College of Henan University of Chinese Medicine/People's Hospital of Zhengzhou from January 2014 to December 2017 were selected as research subjects,and 20 low-grade intraductal carcinoma tissue specimens,27 high-grade intraductal carcinoma tissue specimens,and 22 adjacent tissue specimens＞1 cm away from the invasive breast cancer were selected as controls.The expressions of EMMPRIN,MMP-9 and KDM6B proteins in cancer-adjacent tissues,low-grade intraductal carcinoma tissues,high-grade intraductal carcinoma tissues and invasive breast cancer tissues were detected by immunohistochemistry.The relationship between the relative expressions of EMMPRIN,MMP-9 and KDM6B proteins and clinicopathologic features of invasive breast cancer was analyzed,Spearman correlation analysis was used to evaluate the correlation of EMMPRIN,MMP-9 and KDM6B proteins in breast cancer tissues,and receiver operating characteristic(ROC)curve was adopted to evaluate the diagnostic value of EMMPRIN,MMP-9 and KDM6B for invasive breast cancer.Results The relative expressions of EMMPRIN and MMP-9 proteins in high-grade intraductal carcinoma and invasive breast cancer tissues were significantly higher those in cancer-adjacent tissues and low-grade intraductal carcinoma tissues,and the relative expression of KDM6B protein was significantly lower than those in cancer-adjacent tissues and low-grade intraductal carcinoma tissues(P＜0.05);the relative expressions of EMMPRIN and MMP-9 proteins in invasive breast cancer tissues were significantly higher those in high-grade intraductal carcinoma tissues,and the relative expression of KDM6B protein was significantly lower than that in high-grade intraductal carcinoma tissues(P＜0.05);there was no statistically significant difference in the relative expressions of EMMPRIN,MMP-9 and KDM6B proteins between cancer-adjacent tissues and low-grade intraductal carcinoma tissues(P＞0.05).The relative expressions of EMMPRIN and KDM6B proteins were not related to the age,tumor location and tumor diameter of patients with invasive breast cancer(P＞0.05),and the relative expression of MMP-9 protein was not related to the age and tumor location of patients with invasive breast cancer(P＞0.05).Relative expressions of EMMPRIN,MMP-9 and KDM6B proteins were correlated with WHO grading,lymph node metastasis,and tumor,node and metastasis(TNM)staging of invasive breast cancer(P＜0.05),and the relative expression of MMP-9 protein was correlated with the tumor diameter(P＜0.05).In the WHO grades Ⅰ,Ⅱ,and Ⅲ of invasive breast cancer,the relative expressions of EMMPRIN and MMP-9 proteins increased sequentially,while the relative expression of KDM6B protein decreased sequentially(P＜0.05);the relative expressions of EMMPRIN and MMP-9 proteins in the lymph node metastasis group were significantly higher than those in the non-lymph node metastasis group,and the relative expression of KDM6B protein was significantly lower than that in the non-lymph node metastasis group(P＜0.05);the relative expressions of EMMPRIN and MMP-9 proteins in TNM stages Ⅲ-Ⅳ were significantly higher than those in stages Ⅰ-Ⅱ(P＜0.05),while the relative expression of KDM6B protein was significantly lower than that in stages Ⅰ-Ⅱ(P＜0.05).In the group of invasive breast cancer with diameter≤2 cm,2 to 5 cm,and＞5 cm,the relative expression of MMP-9 protein increased sequentially(P＜0.05).Spearman correlation analysis showed that the expression of EMMPRIN was positively correlated with MMP-9 protein in invasive breast cancer tissues(r=0.990,P=0.000),the expression of EMMPRIN was negatively correlated with KDM6B protein(r=-0.606,P=0.000),and the expression of MMP-9 was negatively correlated with KDM6B protein(r=-0.612,P=0.000).ROC curve analysis showed that the area under the curve(AUC)of EMMPRIN protein for diagnosing invasive breast cancer was 0.875[95％confidence interval(CI):0.823-0.926,P＜0.05],with an optimal threshold of 10.043,sensitivity of 79.0％,and specificity of 76.8％;the AUC of MMP-9 protein in diagnosing invasive breast cancer was 0.863(95％CI:0.808-0.917,P＜0.05),with an optimal threshold of 10.070,sensitivity of 74.2％,and specificity of 76.8％;the AUC of KDM6B protein in diagnosing invasive breast cancer was 0.267(95％CI:0.196-0.338,P＜0.05),with an optimal threshold of 11.003,sensitivity of 71.0％,and specificity of 98.6％.Conclusion EMMPRIN,MMP-9 and KDM6B are related to the occurrence and development of invasive breast cancer.Detection of the expressions of EMMPRIN,MMP-9 and KDM6B is helpful to the pathological diagnosis of invasive breast cancer and clinical judgment of invasion and metastasis of breast cancer.

Objective To retrospectively analyze the prevention and control effect and epidemic characteristics of elderly tuberculosis in Hubei Province from 2016 to 2020, and to provide a scientific basis for the prevention and treatment of elderly tuberculosis in Hubei Province． Methods The data on tuberculosis patients aged 60 and above who registered their current address in Hubei Province from 2016 to 2020 were collected and analyzed. The registration rates and composition ratios were analyzed using χ² test and χ² test for trend. Results A total of 135 976 tuberculosis patients were reported in Hubei from 2016 to 2020. The annual average registration rate of elderly tuberculosis among the elderly registered residence population (referring to the registration rate of elderly registered residence population aged 60 and above as the denominator, and tuberculosis patients aged 60 and above as the numerator) was 263.51/100 000. The highest rate was 300.02/100,000 in 2017, and the lowest was 188.19/100,000 in 2020 (χ²=70,227.603, P<0.001). In terms of composition, the average annual proportion of tuberculosis patients in the 60-70 years old group was 59.60%, which decreased year by year (χ²_trend=40.448，P<0.001 ). The average annual proportion of males was 73.35%, which was significantly higher than that of females (26.65%). The average annual proportion of farmers was 62.03%. From the perspective of case management, the annual average proportion of major epidemic online reports was 85.17%. The classification of cases was mainly based on clinical diagnosis, accounting for 48.33% annually and showing a decreasing trend year by year (χ²_trend=740.911, P<0.001). The proportion of confirmed cases was 25.08%, which showed an increasing trend (χ²_trend=380.557, P<0.001). From 2016 to 2019, the delay rate of diagnosis and treatment of elder tuberculosis patients was 49.42% (67 876/135 967), and the delay rate decreased year by year (χ²_trend=323.764, P<0.001). Conclusion The elderly population with pulmonary tuberculosis in Hubei Province shows a downward trend. It is necessary to focus on the efforts of designated hospitals to proactively identify cases, increase the proportion of confirmed cases, maintain a high tracking in place, reduce medical delays, and ensure the effectiveness of tuberculosis prevention and treatment for the elderly.

Epigenetic pathways play a critical role in the initiation, progression, and metastasis of cancer. Over the past few decades, significant progress has been made in the development of targeted epigenetic modulators (e.g., inhibitors). However, epigenetic inhibitors have faced multiple challenges, including limited clinical efficacy, toxicities, lack of subtype selectivity, and drug resistance. As a result, the design of new epigenetic modulators (e.g., degraders) such as PROTACs, molecular glue, and hydrophobic tagging (HyT) degraders has garnered significant attention from both academia and pharmaceutical industry, and numerous epigenetic degraders have been discovered in the past decade. In this review, we aim to provide an in-depth illustration of new degrading strategies (2017-2023) targeting epigenetic proteins for cancer therapy, focusing on the rational design, pharmacodynamics, pharmacokinetics, clinical status, and crystal structure information of these degraders. Importantly, we also provide deep insights into the potential challenges and corresponding remedies of this approach to drug design and development. Overall, we hope this review will offer a better mechanistic understanding and serve as a useful guide for the development of emerging epigenetic-targeting degraders.