Objective:To analyze the epidemiological characteristics of rabies in China during 2024 to understand the patterns of disease transmission and provide a scientific basis for optimizing prevention strategies and advancing the rabies elimination process.Methods:Data on the national rabies epidemic in 2024 and case-specific information from national surveillance sites were collected from China's National Notifiable Disease Reporting System（NNDRS）. Descriptive epidemiological methods were used to analyze the disease trends and epidemic characteristics.Results:In 2024，China reported 167 human rabies cases across 20 provincial-level administrative divisions（PLADs），resulting in 148 fatalities. This represents a 39.17% increase from 2023（120 cases）and the highest annual incidence recorded since 2019. The epidemic exhibited a distinct geographic clustering in central and southern China，with four provinces（Henan，Guangxi，Hunan，and Hubei）accounting for 62.87%（105/167）of nationally reported cases. October（20 cases）and November（20 cases）recorded the highest monthly incidence，while February had the lowest（2 cases）. Farmers constituted the primary affected demographic（80.84%），with a marked male predominance（male-to-female ratio：2.15∶1）-higher than the 2023 ratio（1.86∶1）. Cases spanned all age groups，predominantly affecting middle-aged and older adults. Analysis of 54 cases revealed dogs as the primary exposure source（93.88%），with domestic dogs constituting 75.00% of these.The laboratory diagnosis rate of rabies cases in 2024 was 43.71%（73/167）.Conclusion:After 16 consecutive years of decline，China's rabies epidemic rebounded in 2024，primarily driven by deficiencies in domestic dog management and weaknesses in post-exposure prophylaxis. Key recommendations include enhancing canine vaccination coverage in high-risk areas，implementing targeted health education for farmers and middle-aged and older adults，improving standardized post-exposure treatment protocols，and optimizing integrated surveillance-alert-response systems，ultimately advancing the achievement of rabies elimination goals.

Objective:To explore the factors influencing healthcare-seeking time in diabetic foot patients and to develop and validate a predictive model for healthcare-seeking time.Methods:A total of 299 diabetic foot patients hospitalized in the Department of Endocrinology and Metabolism at the First Affiliated Hospital of Zhengzhou University from March 2023 to January 2024 were recruited for model development and internal validation. Sixty additional patients from the Second Affiliated Hospital of Zhengzhou University from September 2023 to January 2024 were used for external validation. Kaplan-Meier survival curves were used to estimate healthcare-seeking times. Cox regression analysis identified influencing factors and constructed the model. Random Survival Forest (RSF) was employed for variable selection and model construction. Internal validation was conducted using 10-fold cross-validation, and model evaluation utilized the integrated Brier score, C-index, and prediction error curve. Results:Kaplan-Meier analysis revealed that education level, foot self-care ability, lower extremity vascular disease, and disease perception significantly influenced healthcare-seeking time ( P<0.05). Cox regression identified gender, income level, medical payment method, living situation, marital status, ulcer history, social support, disease perception, and healthcare behavior perception as significant influencing factors ( P<0.05). RSF variable selection indicated that social support, disease perception, e-health literacy, healthcare behavior perception, and age were the most valuable factors for model construction. In external validation, the Brier scores for the Cox regression and RSF models were 0.059 and 0.088, respectively, while the C-indices were 0.862 and 0.683. Prediction error curves showed that the Cox regression model had lower prediction errors and higher predictive performance. Conclusions:The Cox regression model demonstrated superior performance and can assist nurses in effectively identifying high-risk populations for delayed healthcare-seeking in diabetic foot patients. This allows for timely interventions to improve healthcare behavior and reduce delays.

Objective:To explore the factors influencing healthcare-seeking time in diabetic foot patients and to develop and validate a predictive model for healthcare-seeking time.Methods:A total of 299 diabetic foot patients hospitalized in the Department of Endocrinology and Metabolism at the First Affiliated Hospital of Zhengzhou University from March 2023 to January 2024 were recruited for model development and internal validation. Sixty additional patients from the Second Affiliated Hospital of Zhengzhou University from September 2023 to January 2024 were used for external validation. Kaplan-Meier survival curves were used to estimate healthcare-seeking times. Cox regression analysis identified influencing factors and constructed the model. Random Survival Forest (RSF) was employed for variable selection and model construction. Internal validation was conducted using 10-fold cross-validation, and model evaluation utilized the integrated Brier score, C-index, and prediction error curve. Results:Kaplan-Meier analysis revealed that education level, foot self-care ability, lower extremity vascular disease, and disease perception significantly influenced healthcare-seeking time ( P<0.05). Cox regression identified gender, income level, medical payment method, living situation, marital status, ulcer history, social support, disease perception, and healthcare behavior perception as significant influencing factors ( P<0.05). RSF variable selection indicated that social support, disease perception, e-health literacy, healthcare behavior perception, and age were the most valuable factors for model construction. In external validation, the Brier scores for the Cox regression and RSF models were 0.059 and 0.088, respectively, while the C-indices were 0.862 and 0.683. Prediction error curves showed that the Cox regression model had lower prediction errors and higher predictive performance. Conclusions:The Cox regression model demonstrated superior performance and can assist nurses in effectively identifying high-risk populations for delayed healthcare-seeking in diabetic foot patients. This allows for timely interventions to improve healthcare behavior and reduce delays.

Objective:To analyze the epidemiological characteristics of rabies in China during 2024 to understand the patterns of disease transmission and provide a scientific basis for optimizing prevention strategies and advancing the rabies elimination process.Methods:Data on the national rabies epidemic in 2024 and case-specific information from national surveillance sites were collected from China's National Notifiable Disease Reporting System（NNDRS）. Descriptive epidemiological methods were used to analyze the disease trends and epidemic characteristics.Results:In 2024，China reported 167 human rabies cases across 20 provincial-level administrative divisions（PLADs），resulting in 148 fatalities. This represents a 39.17% increase from 2023（120 cases）and the highest annual incidence recorded since 2019. The epidemic exhibited a distinct geographic clustering in central and southern China，with four provinces（Henan，Guangxi，Hunan，and Hubei）accounting for 62.87%（105/167）of nationally reported cases. October（20 cases）and November（20 cases）recorded the highest monthly incidence，while February had the lowest（2 cases）. Farmers constituted the primary affected demographic（80.84%），with a marked male predominance（male-to-female ratio：2.15∶1）-higher than the 2023 ratio（1.86∶1）. Cases spanned all age groups，predominantly affecting middle-aged and older adults. Analysis of 54 cases revealed dogs as the primary exposure source（93.88%），with domestic dogs constituting 75.00% of these.The laboratory diagnosis rate of rabies cases in 2024 was 43.71%（73/167）.Conclusion:After 16 consecutive years of decline，China's rabies epidemic rebounded in 2024，primarily driven by deficiencies in domestic dog management and weaknesses in post-exposure prophylaxis. Key recommendations include enhancing canine vaccination coverage in high-risk areas，implementing targeted health education for farmers and middle-aged and older adults，improving standardized post-exposure treatment protocols，and optimizing integrated surveillance-alert-response systems，ultimately advancing the achievement of rabies elimination goals.

Objective:To systemically evaluate the characteristics of cytokine levels in intraocular fluid of neovascular glaucoma (NVG).Methods:Literature on the detection of cytokine levels in NVG published before June 2022 was searched in PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang databases, and China Science and Technology Journal Database (VIP).Two investigators independently completed the literature search, inclusion, and data extraction following the inclusion and exclusion criteria.Quantitative analyses were performed using Stata 16.0 software.Study heterogeneity was assessed using the I2 test, and effects were combined using the appropriate effect model to complete the meta-analysis. Results:A total of 24 studies were screened, including 771 NVG cases and 727 age-related cataract cases (control group).The standardized mean difference ( SMD) of the combined effect value of vascular endothelial growth factor (VEGF) mass concentration in the aqueous humor between the two groups was 8.79, with a 95% confidence interval ( CI) of 6.43 to 11.14.The SMD of interleukin-6 (IL-6) between the two groups was 12.50, with a 95% CI of 9.41 to 15.58.The VEGF and IL-6 levels in aqueous humor and vitreous humor were significantly higher in NVG group than in control group (all at P<0.05).The pigment epithelium-derived factor (PEDF) level in aqueous humor was lower in NVG group than in control group ( SMD: -3.03, 95% CI: -5.50--0.55, P<0.05).The levels of IL-8 ( SMD: 3.99, 95% CI: 1.14-6.85), erythropoietin (EPO) ( SMD: 9.62, 95% CI: 0.44-18.79), placental growth factor (PIGF) ( SMD: 2.62, 95% CI: 1.38-3.86), tumor necrosis factor-α (TNF-α) ( SMD: 3.37, 95% CI: 1.87-4.87) were all significantly higher in NVG group than in control group (all at P<0.05).There was no significant difference in IL-1β level in aqueous humor between the two groups ( P>0.05). Conclusions:In NVG patients, VEGF, IL-6, IL-8, EPO, PIGF, TNF-α levels are obviously increased and PEDF level is obviously decreased.These biomarkers can be used as potential predictors or therapeutic targets for NVG.

In 2009,the World Health Organization included snakebite on the list of neglected tropical diseases,acknowledging it as a common occupational hazard for farmers,plantation workers,and others,causing tens of thousands of deaths and chronic physical disabilities every year.This guideline aims to provide practical information to help clinical professionals evaluate and treat snakebite victims.These recommendations are based on clinical experience and clinical research evidence.This guideline focuses on the following topics:snake venom,clinical manifestations,auxiliary examination,diagnosis,treatments,and prevention.

The protection effect of flash-radiotherapy(Flash-RT)with super-high dose on normal tissue has obtained wide attention in therapeutic radiology since it was found in 2014 year.The increasing research demand of Flash-RT with super-high dose-rate proposed new challenge for the existing radiotherapy equipment.Based on the demands of FLASH-RT research and clinical application,this review analyzed the proposed new requirement of Flash-RT for equipment,and introduce current scientific facilities with the experimental ability of X-ray FLASH-RT,as well as the situation of the specialized FLASH-RT equipment which were developing.The research of Flash-RT mechanism need the existing equipment with high-energy X-ray source develop toward high power,while the clinical application of Flash-RT demand these transient high-power devices should possess a series of radiotherapy techniques such as multi angle irradiation,conformal radiotherapy and others.Currently,China's X-ray FLASH-RT research is at the forefront of the world,which is expected to achieve the first breakthrough of high-end medical equipment in the X-ray Flash RT field.

Objective To explore the effects of different acupoints,different target organs,and different interventions on acupoint efficacy based on ACU&MOX-DATA platform;To illustrate and visualize whether the above factors have the characteristics of"specific effect"or"common effect"of acupoint efficacy.Methods The multi-source heterogeneous data were integrated from the original omics data and public omics data.After standardization,differential gene analysis,disease pathology network analysis,and enrichment analysis were performed using Batch Search and Stimulation Mode modules in ACU&MOX-DATA platform under the conditions of different acupoints,different target organs,and different interventions.Results Under the same disease state and the same intervention,there were differences in effects among different acupoints;under the same disease state,the same acupoint and intervention,the responses produced by different target organs were not completely consistent;under the same disease state and acupoint,there were differences in effects among different intervention measures.Conclusion Based on the analysis of ACU&MOX-DATA platform,it is preliminary clear that acupoints,target organs,and interventions are the key factors affecting acupoint efficacy.Meanwhile,the above results have indicated that there are specific or common regulatory characteristics of acupoint efficacy.Applying ACU&MOX-DATA platform to analyze and visualize the critical scientific problems in the field of acupuncture and moxibustion can provide references for deepening acupoint cognition,guiding clinical acupoint selection,and improving clinical efficacy.

Objective To explore the specific plasma exosomal protein expression in Coronary Heart Disease(CHD)with phlegm-turbidity syndrome(PTS),so as to provide biological reference for the diagnosis of CHD with PTS.Methods A total of 20 CHD patients with PTS and 20 healthy subjects at the same period were included.Plasma exosomes were extracted from all subjects using the qEV size exclusion method.First,10 CHD cases with PTS and 10 healthy subjects were randomly selected,and differentially expressed proteins between the two groups were screened using label free non-targeted protein quantification analysis.Then,MRM targeting protein labeling technique was applied to verify the differentially expressed proteins in the remaining subjects.Results Compared with healthy controls,214 differentially expressed plasma exosomal proteins(61 up-regulated and 153 down-regulated)were found in CHD patients with PTS,mainly related to cholesterol metabolism,complement and coagulation cascade,and immune effects.ANXA6,C4BPB,F8,CFB,APOE,C9,and CLU proteins were further validated by MRM targeting protein.Conclusion CHD patients with PTS had differences in plasma exosomal protein expression from healthy controls,and the differential proteins are mainly related to cholesterol metabolism,complement,and the coagulation cascade.

Objective:To analyze the in vitro inhibitory effects of resveratrol on rabies virus. Methods:The challenge virus standard (CVS)-11 strain of rabies virus and BHK-21 cells were used to establish the infection model. In vitro inhibitory effects of resveratrol on rabies virus were analyzed at different stages of infection by direct immunofluorescence and cell fluorescence focus unit assay. Results:Without affecting cell growth, resveratrol could block the adsorption of virus, interfere with the entry of virus into cells and inhibit virus proliferation in a concentration-dependent manner. The inhibition rate could reach up to about 95%. The results of co-incubation experiment showed that 40 μmol/L resveratrol could directly kill the virus.Conclusions:This study indicated that resveratrol inhibited the activity of rabies virus in a concentration-dependent manner.