Background 900 MHz radiofrequency radiation (RF) is a commonly used frequency in modern wireless communication devices, and its potential health effects have drawn much attention, especially its impact on bone metabolism, which has not been fully clarified. Objective To investigate the effects of 900 MHz RF on the bone tissue and osteoblast senescence of mice, as well as the dose-effect relationship. Methods In vivo, 3-month-old female C57BL/6 mice were divided into five groups (n=10): sham exposure, low-dose RF (50 μW·cm⁻²), medium-dose RF (150 μW·cm⁻²), high-dose RF (450 μW·cm⁻²), and D-galactose positive control (D-gal). Treatments were administered for 4 h per day for 28 d. Bone mineral density (BMD) and microstructure, including bone volume (BV), tissue volume (TV), bone volume fraction (BV/TV), trabecular number (Tb.N), trabecular separation (Tb.Sp), and trabecular thickness (Tb.Th), were assessed by Micro-CT; bone morphology was examined after hematoxylin and eosin (HE) staining; osteoprotegerin (OPG) and receptor activator of nuclear factor kappa-κΒ ligand (RANKL) expression was detected by immunohistochemistry; serum OPG, tartrate-resistant acid phosphatase 5b (TRACP-5b), plasminogen activator inhibitor-1 (PAI-1), interleukin-6 (IL-6), and C-X-C motif chemokine ligand 15 (CXCL15) levels were measured by enzyme-linked immunosorbent assay (ELISA); mRNA expression of Tp53, Cdkn1a, and Cdkn2a in bone tissue was analyzed by reverse transcription polymerase chain reaction (RT-PCR). In vitro, MC3T3-E1 pre-osteoblasts were grouped into sham, low-dose RF (50 μW·cm⁻²), medium-dose RF (150 μW·cm⁻²), high-dose RF (450 μW·cm⁻²), and H₂O₂ control, groups, and were exposed for 4 h per day for 5 d. Cell morphology was observed by microscopy; viability was tested by cell counting kit-8 (CCK-8); senescence was evaluated by senescence-associated β-galactosidase (SA-β-gal) staining; P53 and P21 protein expression was detected by Western blot; Tp53 and Cdkn1a mRNA levels were measured by RT-PCR. Results In vivo, RF at each dose significantly reduced the BMD of the mice's femurs and the bone microstructure parameters, such as BV/TV, Tb.N, and Tb.Th (P<0.05). Among them, Tb.Sp only increased in the 150 μW·cm⁻² RF group (P<0.05), with a looser bone network; fewer, sparser trabeculae and increased marrow fat were observed after HE staining; down-regulated OPG and up-regulated RANKL expression levels were observed by immunohistochemistry; the ELISA test revealed that the serum OPG levels in the 150 μW·cm⁻² RF group and the 450 μW·cm⁻² RF group of mice were significantly decreased (P<0.05), while the indicator in the 50 μW·cm⁻² RF group showed a decreasing trend but the difference was not statistically significant (P>0.05), TRACP-5b rose, and PAI-1, IL-6, and CXCL15 levels increased (P<0.05); the RT-PCR results showed thatTp53, Cdkn1a, and Cdkn2a mRNA expression was upregulated (P<0.05). In vitro, radiofrequency radiation induced cell flattening, reduced viability (P<0.05), increased SA-β-gal-positive cells (P<0.05), and upregulated P53, P21, Tp53, and Cdkn1a expression (P<0.05). Conclusion 900 MHz RF disrupts bone metabolism in mice by inhibiting bone formation, promoting resorption, and inducing osteoblast senescence, accelerating bone aging. The 150 μW·cm⁻² RF dose exhibits the most pronounced effect, reflecting a nonlinear “window effect,” highlighting potential health risks.

Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods: Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results: A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.

Objective To analyze the epidemiological characteristics of hepatitis E (HE) in Huai'an City from 2015 to 2024, and construct and validate the prediction effect of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, and to provide a scientific basis for HE prevention and control. Methods Data of reported HE cases in Huai'an City from January 2015 to December 2024 were extracted from the National Disease Control and Prevention Information System. Descriptive epidemiological methods were used to analyze the temporal, regional and population distribution characteristics of HE incidence. After data preprocessing, stationarity test and randomness test, the SARIMA model was constructed. The optimal model was selected by minimizing the Akaike Information Criterion (AIC). The model performance was evaluated by adjusted R-squared (Adj R²) and root mean square error (RMSE). The monthly incidence rate of HE in Huai'an City in 2025 was predicted and compared with the actual incidence data to validate the model. Results A total of 1 713 HE cases were reported in Huai'an City from 2015 to 2024, showing a fluctuating upward trend. Huaiyin District (339 cases) and Lianshui County (334 cases) were high-incidence areas. The cases were mainly concentrated in people aged 45 and above (83.3%), males (gender ratio 2.37:1) and farmers (70.8%). The optimal model was SARIMA (1,1,1)×(2,0,1)₁₂, with residual as white noise sequence. There was no statistical difference between the actual incidence and predicted value from January to August 2025 (P>0.05). Conclusion HE incidence in Huai'an has obvious aggregation and temporal fluctuation characteristics. The SARIMA model has a good prediction effect, which can provide reference for formulating targeted prevention and control strategies.

Background Against the background of global warming, frequent heatwaves pose a major threat to public health. Objective To investigate the effects of heatwaves on outpatient visits for skin diseases in Urumqi, characterize the exposure–response relationship, identify the critical temperature threshold, and provide scientific evidence for targeted prevention and control of heat-related skin diseases. Methods Data on meteorological conditions, air quality, and dermatological outpatient visits from 10 hospitals in Urumqi were collected from January 1, 2016 to December 31, 2024. A time-stratified case-crossover design combined with a distributed lag model was adopted to construct a conditional logistic regression model, with adjustment for potential confounders, including relative humidity, air pollutants, and COVID-19 lockdown measures. With a maximum lag of 14 d, single-lag and cumulative-lag effects of heatwaves were examined, and the exposure–response relationship between temperature and the risk of dermatological outpatient visit was fitted. Results A total of 385 heatwave days were identified in Urumqi from January 1, 2016 to December 31, 2024. These days were concentrated between June and September and showed an increasing annual trend. The median daily number of dermatological outpatient visits during heatwave periods (165 cases) was significantly higher than that during control periods (114 cases) (Z=−5.108, P<0.001). After adjusting for confounders, the odds of dermatological outpatient visits during heatwaves were 1.088 times higher than those of the control period (OR=1.088, 95%CI: 1.069, 1.107). Single-lag effects were statistically significant from lag0 to lag11 (P<0.05), peaking at lag0 (OR=1.088, 95%CI: 1.069, 1.107), showing an acute and immediate effect. Cumulative-lag effects were statistically significant from 1 to 14 d (P<0.05), peaking at lag04 (OR=1.117, 95%CI: 1.099, 1.136). The exposure–response relationship indicated that the OR values increased steeply with increasing temperature when the daily mean temperature exceeded 24.2 ℃, peaking at approximately 28.1 ℃ (OR=1.400, 95%CI: 1.189, 1.649). Conclusions Heatwave exposure is significantly associated with an increased risk of dermatological outpatient visits among residents in Urumqi. The impact of high temperature on skin diseases is predominantly acute, with peak risks observed on the day of exposure and within the subsequent 4 d. A daily mean temperature of 24.2 ℃ can serve as the critical threshold for heightened dermatological consultation risk. Strengthened health education and early warning systems are recommended to mitigate heatwave-related adverse dermatological outcomes.

ObjectiveTo identify key ligand-receptor axes that may improve immunotherapeutic strategies for hepatocellular carcinoma with portal vein tumor thrombus （PVTT）. MethodsSingle-cell RNA sequencing （scRNA-seq） data from normal tissues （Norm） and PVTT cells were downloaded from the gene expression omnibus （GEO） database， integrated， and annotated. CellChat was used to infer intercellular communication and compare pathway activities to screen significantly differential candidate ligand-receptor axes. Multiplex immunofluorescence （mIF） was then performed to evaluate the spatial distribution of signals related to candidate axes at the tissue level. The expression of key ligands and receptors was validated by qPCR and flow cytometry in peripheral blood-derived CD8⁺ T cells and the human hepatic stellate cell line LX-2. Functional effects were further assessed in vitro using recombinant proteins and antagonists or neutralizing blockers. ResultsThe analysis revealed strong bidirectional communication between CD8⁺ T cells and activated hepatic stellate cells （aHSCs） in PVTT. The SPP1-CD44 axis was the most prominent in the direction from CD8⁺ T cells to aHSCs， whereas the MIF-（CD74+ CD44） axis was strongly supported in the opposite direction. These axes were consistently supported by bioinformatic screening， tissue spatial analysis， and cellular or functional validation. ConclusionThe SPP1-CD44 and the MIF-（CD74+ CD44） axes may collectively shape the immunosuppressive tumor microenvironment （ITME） of PVTT through stromal activation and T-cell functional reprogramming， suggesting potential targets for improving immunotherapeutic responsiveness in patients with PVTT.

Objective:To assess the application value of one-hour post-load glucose (1hPG) for detecting prediabetes among individuals with high risk of type 2 diabetes mellitus (T2DM).Methods:The study was conducted between August 2023 and January 2024, and individuals with a high risk of T2DM were invited to receive an oral glucose tolerance test (OGTT), structural questionnaires, physical measurements, and other biochemical examinations. The fasting, one-, and two-hour glucose and insulin were tested. According to the 1hPG cut point on hyperglycemia suggested by International Diabetes Federation (IDF), normal glucose tolerance (NGT) and prediabetes were further divided into two subgroups, respectively, i.e., NGT with 1hPG<8.6 mmol/L (NGT-1hPG-normal), NGT with 1hPG≥8.6 mmol/L (NGT-1hPG-high), prediabetes with 1hPG<8.6 mmol/L (PDM-1hPG-normal), and prediabetes with 1hPG≥8.6 mmol/L (PDM-1hPG-high). The insulin release curve was drawn by the groups as above. Insulin resistance was evaluated by homeostasis model assessment for insulin resistance (HOMA-IR), and β-cell secretory function was evaluated by homeostasis model assessment for β cell function (HOMA-β)/HOMA-IR. Spearman rank correlation analysis was used to calculate the correlation coefficients among 1hPG, 2hPG and HOMA indices, and Steiger′s Z test was used to compare the difference between two correlation coefficients. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to assess the accuracy of 1hPG for detecting prediabetes. Results:A total of 2 469 subjects consisting of 1 485 men (60.1%) and 984 (39.9%) women, with a mean age of (45.76±6.20) years, of which 1 844 (74.7%) had 1hPG≥8.6 mmol/L. The prevalence of 1hPG≥8.6 mmol/L was 46.8%, 93.0% and 99.8% in individuals with NGT, prediabetes and newly diagnosed T2DM, respectively ( χ 2=763.78, P<0.001). The insulin release curve showed that insulin secretion increased rapidly in subjects with NGT-1hPG-high, and peaked at one hour, then decreased rapidly, with a significantly higher level of one- and two-hour insulin than those with NGT-1hPG-normal ( P<0.001). Compared to individuals with NGT-1hPG-normal, the counterparts with NGT-1hPG-high exhibited higher HOMA-IR and lower adjusted HOMA-β ( P<0.001). Spearman rank correlation analysis showed that the correlation coefficient of 1hPG with HOMA-IR was similar to the correlation coefficient of 2hPG with HOMA-IR (0.493 vs. 0.480, P=0.550), while the correlation of 1hPG with adjusted HOMA-β was significantly stronger than that of 2hPG (-0.692 vs. -0.587, P<0.001). Excluding patients with T2DM, according to the cut point recommended by IDF, the AUC of 1hPG≥8.6 mmol/L for detecting prediabetes was 0.731 (95% CI: 0.714-0.748), and the sensitivity and specificity were 0.930 and 0.532, respectively, with the kappa value of 0.45. Conclusion:1hPG is closely related to insulin resistance and islet function, and there′s substantial value for individuals with a high risk of T2DM to detect prediabetes by using the 1hPG cut points recommended by IDF.

Under stress,the cold-inducible RNA-binding protein(CIRP)is translocated from the nucleus to the cytoplasm and subsequently released outside the cell.Extracellular CIRP(eCIRP),acting as a damage-associated mo-lecular pattern,amplifies inflammation through various mechanisms and leads to an uncontrolled inflammatory response,thereby contributing to the occurrence and progression of sepsis and other critical pathological processes.Certain CIRP-tar-geting drugs have demonstrated promising anti-sepsis effects through the reduction of CIRP expression,the decrease of eCIRP release,the neutralization of eCIRP,or the intervention in receptor binding.This review examines the release mechanism of CIRP and the role of eCIRP in the development of sepsis,with the aim of providing new insights for the pre-vention and treatment of sepsis by targeting eCIRP.

Objective:To assess the application value of one-hour post-load glucose (1hPG) for detecting prediabetes among individuals with high risk of type 2 diabetes mellitus (T2DM).Methods:The study was conducted between August 2023 and January 2024, and individuals with a high risk of T2DM were invited to receive an oral glucose tolerance test (OGTT), structural questionnaires, physical measurements, and other biochemical examinations. The fasting, one-, and two-hour glucose and insulin were tested. According to the 1hPG cut point on hyperglycemia suggested by International Diabetes Federation (IDF), normal glucose tolerance (NGT) and prediabetes were further divided into two subgroups, respectively, i.e., NGT with 1hPG<8.6 mmol/L (NGT-1hPG-normal), NGT with 1hPG≥8.6 mmol/L (NGT-1hPG-high), prediabetes with 1hPG<8.6 mmol/L (PDM-1hPG-normal), and prediabetes with 1hPG≥8.6 mmol/L (PDM-1hPG-high). The insulin release curve was drawn by the groups as above. Insulin resistance was evaluated by homeostasis model assessment for insulin resistance (HOMA-IR), and β-cell secretory function was evaluated by homeostasis model assessment for β cell function (HOMA-β)/HOMA-IR. Spearman rank correlation analysis was used to calculate the correlation coefficients among 1hPG, 2hPG and HOMA indices, and Steiger′s Z test was used to compare the difference between two correlation coefficients. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to assess the accuracy of 1hPG for detecting prediabetes. Results:A total of 2 469 subjects consisting of 1 485 men (60.1%) and 984 (39.9%) women, with a mean age of (45.76±6.20) years, of which 1 844 (74.7%) had 1hPG≥8.6 mmol/L. The prevalence of 1hPG≥8.6 mmol/L was 46.8%, 93.0% and 99.8% in individuals with NGT, prediabetes and newly diagnosed T2DM, respectively ( χ 2=763.78, P<0.001). The insulin release curve showed that insulin secretion increased rapidly in subjects with NGT-1hPG-high, and peaked at one hour, then decreased rapidly, with a significantly higher level of one- and two-hour insulin than those with NGT-1hPG-normal ( P<0.001). Compared to individuals with NGT-1hPG-normal, the counterparts with NGT-1hPG-high exhibited higher HOMA-IR and lower adjusted HOMA-β ( P<0.001). Spearman rank correlation analysis showed that the correlation coefficient of 1hPG with HOMA-IR was similar to the correlation coefficient of 2hPG with HOMA-IR (0.493 vs. 0.480, P=0.550), while the correlation of 1hPG with adjusted HOMA-β was significantly stronger than that of 2hPG (-0.692 vs. -0.587, P<0.001). Excluding patients with T2DM, according to the cut point recommended by IDF, the AUC of 1hPG≥8.6 mmol/L for detecting prediabetes was 0.731 (95% CI: 0.714-0.748), and the sensitivity and specificity were 0.930 and 0.532, respectively, with the kappa value of 0.45. Conclusion:1hPG is closely related to insulin resistance and islet function, and there′s substantial value for individuals with a high risk of T2DM to detect prediabetes by using the 1hPG cut points recommended by IDF.

Chronic obstructive pulmonary disease (COPD) poses a significant public health challenge in China due to its high prevalence and substantial disease burden. Primary healthcare institutions (PHIs) serve as the cornerstone for COPD prevention and management. However, they currently face critical challenges, including inadequate diagnostic capacity, suboptimal treatment standardization, and limited patient awareness. In recent years, national efforts have initiated the development of a primary-level COPD prevention and management network. Key strategies include incorporating COPD into the Fundamental Public Health Service Program (FPHSP), strengthening lung function screening, promoting tiered diagnosis and treatment systems, establishing central-local coordination mechanisms, and implementing National Major Public Health Service Programs. Future directions necessitate focused efforts on: constructing integrated prevention and treatment models; optimizing the two-way referral system; enhancing screening for high-risk populations; leveraging digital health empowerment; and establishing a multi-dimensional quality evaluation system. These concerted actions are essential to build a comprehensive, high-quality COPD healthcare management system within primary care settings, ultimately contributing to the goals of the Healthy China Initiative (2019-2030).

Objective:To evaluate the efficacy and safety of transdermal delivery of compound glycyrrhizin injection as an adjunctive treatment for erythematotelangiectatic rosacea (ETR).Methods:This was a randomized controlled trial conducted from March to October 2024. At Sichuan Provincial People′s Hospital, 60 patients with newly diagnosed ETR were prospectively enrolled and randomized by a random number table into study group [ n=30; 6 male and 24 female; aged 18-60 (38.9±9.8) years] and control group [ n=30; 4 male and 26 female; aged 18-60 (35.7±10.1) years]. The study group received transdermal delivery of compound glycyrrhizin injection by a medium-frequency drug-delivery therapeutic apparatus together with oral azithromycin and hydroxychloroquine sulfate, whereas the control group received oral azithromycin and hydroxychloroquine sulfate. The efficacy evaluations were conducted at baseline and at weeks 2, 4, 6, and 8 post-treatment. Outcome measures included percentage of erythema area, stratum corneum hydration, transepidermal water loss (TEWL), clinician′s erythema assessment (CEA), erythema and telangiectasia scores, dermatology life quality index (DLQI), and efficacy rate. Adverse reactions during treatment were also recorded. Results:Compared with baseline, both groups exhibited significant reductions in percentage of erythema area, TEWL, CEA, erythema and telangiectasia score, and DLQI, and significant increases in stratum corneum hydration at each post-treatment time point (all P<0.05). After 2, 4, 6, and 8 weeks of treatment, the percentage of erythema area, erythema and telangiectasia scores in the study group were all lower than those in the control group, while the stratum corneum hydration level in the study group was higher than that in the control group (all P<0.05). After 4, 6, and 8 weeks of treatment, TEWL, CEA, and DLQI in the study group were all lower than those in the control group (all P<0.05). After 4 weeks of treatment, the efficacy rate in the study group was 56.7% (17/30), which was higher than that of the control group at 23.3% (7/30, P=0.046). After 6 weeks of treatment, the efficacy rate in the study group was 83.3% (25/30), higher than that of the control group at 50.0% (15/30, P=0.020). After 8 weeks of treatment, the efficacy rate in the study group was 86.7% (26/30), higher than that of the control group at 66.7% (20/30, P<0.001). No severe adverse reactions were observed in either group. Conclusion:Transdermal delivery of compound glycyrrhizin injection as an adjunctive treatment for ETR demonstrates favorable efficacy and good safety.