This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

Traumatic brain injury (TBI) is intricately linked to the most severe clinical manifestations of brain damage. It encompasses dynamic pathological mechanisms, including hemodynamic disorders, excitotoxic injury, oxidative stress, mitochondrial dysfunction, inflammation, and neuronal death. This review provides a comprehensive analysis and summary of biomaterial-based tissue engineering scaffolds and nano-drug delivery systems. As an example of functionalized biomaterials, nano-drug delivery systems alter the pharmacokinetic properties of drugs. They provide multiple targeting strategies relying on factors such as morphology and scale, magnetic fields, pH, photosensitivity, and enzymes to facilitate the transport of therapeutics across the blood-brain barrier and to promote selective accumulation at the injury site. Furthermore, therapeutic agents can be incorporated into bioscaffolds to interact with the biochemical and biophysical environment of the brain. Bioscaffolds can mimic the extracellular matrix environment, regulate cellular interactions, and increase the effectiveness of local treatments following surgical interventions. Additionally, stem cell-based and exosome-dominated extracellular vesicle carriers exhibit high bioreactivity and low immunogenicity and can be used to design therapeutic agents with high bioactivity. This review also examines the utilization of endogenous bioactive materials in the treatment of TBI.

Objective: To analyze the association between fine particulate matter (PM2.5) exposure in the air and dyslipidemia among primary school students, in order to provide the evidencebased support for the prevention and control of chronic diseases in children. Methods: The random sampling method was used to select 625 students from two primary schools in Anhui Province and Tianjin City from May to June 2024. Based on the home address, the annual average exposure levels of PM2.5 were obtained in 3 years before investigation, 2 years before investigation, and the past year before investigation. Fasting blood samples were collected for the detection of total cholesterol, triglycerides (TG), highdensity lipoprotein cholesterol and lowdensity lipoprotein cholesterol. Linear regression modeling was used to analyze the association between PM2.5 exposure and dyslipidemia among primary school students. Results: The rate of dyslipidemia among primary school students was 14.72% in the present study. The results of linear regression analysis showed that the TG increased by 0.019(95%CI=0.012-0.025)，0.023(95%CI=0.016-0.030) and 0.021(95%CI=0.014-0.027) mmol/L for every 1 μg/m3 increase of PM2.5 in the past year before investigation, 2 years before investigation and 3 years before investigation respectively (P<0.05). The results of binary Logisitic analysis showed that the risks of dyslipidemia in primary school students were positively correlated with PM2.5 mass concentration in the past year before investigation, 2 years before investigation, and 3 years before investigation [OR(95%CI)=1.06(1.02-1.11), 1.06(1.01-1.12), 1.06(1.01-1.11), P<0.05]. Conclusions PM2.5 exposure is associated with increased risk of dyslipidemia among primary school students. To protect the health of primary school students, effective measures should be taken to improve air quality.

Objective:To explore the trend of influenza positive rate in Beijing by using classic autoregressive integrated moving average (ARIMA) model, autoregressive integrated moving average model with exogenous variables (ARIMAX) and vector autoregression model (VAR) to compare the performance of three models in influenza prediction and select the most suitable one for Beijing.Methods:The weekly positive rate of influenza virus nucleic acid test and meteorological data in Beijing from week 1 of 2013 to week 40 of 2024 were collected. The data were divided into four groups with expanding training sets and corresponding testing sets. The training set of the first group was from week 1 of 2013 to week 40 of 2016, and the testing set was from week 41 of 2016 to week 40 of 2017. Subsequent groups extended the training set by one year each time. Data from 2020 to 2023 were excluded due to COVID-19 pandemic. The fourth group used data from the week 1 of 2013 to week 40 of 2023 for training and from the week 41 of 2023 to week 40 of 2024 for testing.Results:The incidence of influenza had seasonality in Beijing with higher incidence in winter and spring. The positive rate of influenza virus was positively correlated with the weekly average atmospheric pressure ( r=0.482, P<0.001) and weekly average wind speed ( r=0.003, P=0.034), and negatively correlated with the weekly average temperature ( r=-0.541, P<0.001). The ARIMAX model incorporating meteorological factors had the best prediction performance, with test set's root mean square error ( RMSE) of 0.115 3 and mean absolute error ( MAE) of 0.076 7 (the RMSE and MAE values for ARIMA and VAR models were 0.117 1 and 0.163 8, and 0.078 6 and 0.122 3, respectively). The prediction results of the optimal model showed that the positive rate of influenza virus would continue to rise in Beijing after October 2024 and reach peak in the second week of 2025, but the peak positive rate would be lower than that of previous influenza season. Conclusions:Compared with the ARIMA model and the VAR model,the ARIMAX model which used meteorological parameters is more suitable for prediction of long-term influenza trend in Beijing. The influenza trend peak was predicted to occur in the second week of 2025, but lower than that in previous influenza season.

Objective:To determine the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition). Methods:A preliminary list of clinical issues for the guidelines was developed through literature review, clinical surveys, and expert interviews. This was followed by two rounds of Delphi questionnaire surveys, with quality control and statistical analysis conducted using expert positive coefficient, mean item scores, full score ratio, coefficient of variation, Cronbach′s α coefficient, and expert authority level to finalize the list of clinical issues.Results:The experts participating in the Delphi questionnaire surveys had multidisciplinary collaborative backgrounds and regional representativeness, with a high level of authority. The overall positive coefficient of expert participation in the surveys was 78.9%. Through two rounds of the Delphi method and based on the screening criteria of a mean score ≥3.5, coefficient of variation ≤30%, and full score ratio ≥30%, 17 clinical issues were ultimately included following an expert consensus meeting.Conclusions:Through the Delphi method and rigorous quality control, the clinical issues in the Clinical practice guidelines for postoperative pain management in adults (2024 edition) are determined, laying a foundation for the subsequent development of the guidelines.

Objective:To analyze the changes and structural variations in hospitalization costs for patients with lung malignancies after the implementation of diagnosis-intervention packet (DIP) payment system, and to evaluate its effectiveness.Methods:Data from the first page of medical records and hospitalization cost data from the hospital information system of a tertiary general hospital in Henan Province were extracted for patients diagnosed with lung malignancies from 2020 to 2023. The data were divided into pre-implementation group (2020—2021) and post-implementation group (2022—2023) based on the implementation time of DIP. Chi-square test, t test, and Wilcoxon rank-sum test were used to analyze the differences in basic characteristics and hospitalization costs of patients with lung malignancies before and after the implementation of DIP. Grey relational analysis was employed to examine the internal associations between total hospitalization costs and various cost components. Structural variation analysis was used to assess the changes in the structure of hospitalization costs after the implementation of DIP. Results:A total of 14 587 hospitalized patients with lung malignancies were included, with 6 807 cases in the pre-implementation group and 7 780 cases in the post-implementation group. The average length of hospital stay decreased from (13.17±6.74) days before implementation to (12.02±6.49) days after implementation ( P<0.05). The proportion of level-four surgeries increased from 46.4% to 57.0% ( P<0.05). The average hospitalization cost per patient with lung malignancies decreased from 56 952 yuan before DIP implementation to 55 560 yuan after implementation ( P<0.05). For patients with lung malignancies diagnosed as C34.1, C34.2, C34.3, and C34.8, the top four cost components most strongly associated with total hospitalization costs were treatment costs, material costs, comprehensive medical service costs, and diagnostic costs, with correlation coefficients all>0.80. For patients with C34.9, the top four cost components most strongly associated with total hospitalization costs were treatment costs, comprehensive medical service costs, diagnostic costs, and Western medicine costs, with correlation coefficients>0.95. For patients diagnosed as C34.1, C34.2, C34.3, and C34.9, diagnostic costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 75%, among which Western medicine costs and material costs showed negative variation. For patients diagnosed as C34.8, treatment costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 80%, among which Western medicine costs showed negative variation. Conclusions:The implementation of DIP reduced the hospitalization costs for patients with lung malignancies, optimized the structure of hospitalization costs, improved the efficiency of medical services, and promoted the rational allocation of medical resources.

Trigeminal neuralgia is characterized by intense pain in the sensory distribution area of the trigeminal nerve. It can be triggered by non-noxious stimuli such as brushing teeth and washing face. At present, the treatment of trigeminal neuralgia mainly includes oral drugs and surgical treatments. A 92-year-old patient with trigeminal neuralgia was reported. The pain could not be alleviated because the patient was unable to tolerate the side effects of drugs and surgical treatment. Taking into account the onset time and the duration of the curative effect, botulinum toxin type A was combined with cobrotoxin for the treatment of the patient. As a result, the pain symptoms were rapidly alleviated and remained in a relieved state for 8 months. The clinical characteristics of this patient were summarized in this article, and the possible synergistic mechanisms of action of the 2 drugs were discussed. The ultimate objective is to furnish a broader spectrum of alternatives and references for clinical practice.

Objective To analyze the characteristics of weekend surgery,and explore to shorten the preoperative hospital stay and average hospital stay of patients.Method Extract actual data on the number of discharged surgical patients and length of hospital stay,and use the Questionnaire Star to investigate the recognition of weekend surgeries by medical staff.Using chi square test and independent sample rank sum test,compare the differences in patients and surgical characteristics between weekend surgery and non weekend surgery,and analyze the influencing factors of surgical physicians using binary logistic regression model.Result The median length of hospital stay(3.0 days)and preoperative hospital stay(0.5 days)was lower than that of non weekend surgery patients(5.0,1.5 days);The proportion of fourth grade surgeries on weekends(28.9％)was lower than that of non weekend surgeries(37.0％);The consultation rate(10.74％)was lower than that of non weekend surgeries(17.0％);The proportion of daytime pilot surgeries(30.7％)was higher than that of non weekend surgeries(20.4％).The factors with the highest recognition among medical staff for conducting weekend surgeries were:improving patient satisfaction(84.7％)and reducing preoperative waiting risks(84.4％).The lowest factors were family support(45.5％)and multi departmental assistance and cooperation(58.8％).Conclusion Weekend surgery effectively shortens the average preoperative and average hospitalization days.Move the hospitalization consultation required for comorbidities management and preoperative examinations to the outpatient department.Mobilize the coordination and supporting resources of various departments within the hospital,and organically integrate various surgical methods such as weekend surgery and day surgery to improve the efficiency of medical operation.

Objective:To explore the diagnostic value of intratumoral area(ITA)and peritumoral area(PTA)ultrasound image-based bioin-formatics models for small breast cancer.Methods:We retrospectively analyzed data of 305 breast lesions from 292 patients with small breast nodules(diameter≤2 cm)who were treated at People's Hospital of Xinjiang Uygur Autonomous Region between January 2021 and January 2025.The lesions were randomly assigned into the training(214 lesions)and validation sets(91 lesions)in a 7:3 ratio.Radiomics fea-tures were extracted from the intertumoral area(ITA)and peritumoral area(PTA)regions at 2,4,6,and 8 mm,followed by feature selection and dimensionality reduction.A Logistic regression(LR)algorithm was used to construct a model.The performance of the models were eval-uated via receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test,and decision curve analysis(DCA).Results:In the training set,the areas under the ROC curves(AUC)for the ITA,2 mm PTA,and 2 mm fusion models were 0.869,0.897,and 0.909,respect-ively.In the test set,these respective AUC values were 0.813,0.825,and 0.840.For breast lesions≤2 cm,<1 cm,and 1-2 cm,the overall ac-curacies of the 2 mm fusion model were 81.0%,82.7%,and 80.1%,respectively,whereas the respective overall accuracies of BI-RADS were 76.4%,81.7%,and 73.6%.Conclusions:ITA and PTA ultrasound imaging-based radiomics models had a high diagnostic value for small breast cancers.The fusion model can effectively improve predictive performance,outperforming the BI-RADS classification in diagnosing small breast lesions of different diameters.Thus,these models have the potential to serve as an auxiliary diagnostic tool in clinical practice.

Objective:To investigate the mechanism through which ginsenoside Re enhances lipid metabolism and mitochondrial function in H9C2 cardiomyocytes induced by high glucose and high fat, specifically by modulating AMP-activated protein kinase(AMPK)and specificity protein 1(Sp1).Methods:The H9C2 cardiomyocyte model was cultured in a high-glucose and high-lipid(HGHL)environment.Six groups were established: a control group(CON group), a model group(HGHL group), a ginsenoside Re 60 μmol/L group(Re 60 μmol/L), a model+ ginsenoside Re 20 μmol/L group(HGHL+ Re 20 μmol/L), a model+ ginsenoside Re 40 μmol/L group(HGHL+ Re 40 μmol/L), and a model+ ginsenoside Re 60 μmol/L group(HGHL+ Re 60 μmol/L).Cell morphology was assessed using hematoxylin and eosin(HE)staining, while intracellular oil and triglyceride content were evaluated using oil red O staining.Reactive oxygen species(ROS)levels were measured with a fluorescence kit, apoptosis was assessed using TUNEL staining, and the expressions of phosphorylated AMPK, Sp1, nuclear respiratory factor 1(Nrf1), and peroxisome proliferator-activated receptor gamma coactivator 1 alpha(PGC1α)were analyzed via Western blotting.Results:Compared to the control group, the model group exhibited significant increases in cell hypertrophy, ROS levels, apoptosis, and intracellular TG.Conversely, the expressions of pAMPK, Nrf1, and PGC1α were significantly decreased, while the expression of Sp1 was significantly increased( P<0.05).Compared to the model group, treatment with Ginsenoside Re at concentrations of 20 μmol/L, 40 μmol/L, and 60 μmol/L significantly improved cell hypertrophy, reduced ROS levels, alleviated apoptosis, and decreased intracellular TG levels.Additionally, the expressions of pAMPK, Nrf1, and PGC1α were significantly increased, while Sp1 expression was significantly decreased in a dose-dependent manner( P<0.05). Conclusions:Ginsenoside Re enhances lipid metabolism, mitigates mitochondrial oxidative stress, and reduces apoptosis in H9C2 cardiomyocytes induced by high glucose and high lipid conditions.This effect is associated with the regulation of AMPK and Sp1 proteins, leading to increased expressions of pAMPK, Nrf1, and PGC-1α, and decreased expression of Sp1.