Objective: To evaluate the intervention effect of school based salt reduction health education, so as to provide a scientific basis for constructing a more effective and sustainable salt reduction intervention model for children. Methods: According to a randomized controlled trial design, in June 2022, probability proportional to size sampling was used to select 501 second grade students (248 in the control group and 253 in the intervention group) from 10 primary schools in Zhenjiang (intervention group) and 10 primary schools in Yangzhou (control group), Jiangsu Province. An one year school based salt reduction health education intervention was implemented. This included 20 online and 8 offline health education sessions, monitoring of salt consumption in the canteen, and the establishment of a salt reduction environment on campus. The control group received no additional salt reduction interventions. A questionnaire survey and 24 hour urinary sodium test were conducted before and after the intervention. The difference in differences method was used to evaluate the intervention effect. Results: After the intervention, the intervention group showed significant net intervention effects in knowledge aspects, including knowing that primary school students consume less salt than adults ( OR=3.55,95%CI =1.69-7.47), daily salt intake of primary school students ( OR=6.64,95%CI =3.71-11.87), long term high salt intake leading to hypertension ( OR=6.83,95%CI =3.93-11.91), low salt intake not causing hair graying ( OR= 1.66 ,95%CI =1.00-2.75), salt content in food labels ( OR=4.56,95%CI =2.63-7.91), and common high salt foods ( OR=3.39,95%CI =1.87-6.14) (all P <0.05). In terms of attitude, the net intervention effect for having a positive attitude toward using less salt in home cooking was significantly increased ( OR=1.88,95%CI =1.13-3.12, P <0.05). There were no statistically significant net intervention effects for salt reduction related behaviors (all P >0.05). There was no statistically significant difference in the changes of 24 hour urinary sodium between the intervention group and the control group before and after intervention ( P >0.05). Conclusions School based salt reduction health education effectively improves students salt reduction knowledge and attitudes but has a limited effect on behavior change. The home-school collaboration should be strengthened, and the dietary environment should be optimized simultaneously.

Endodontic microsurgery (EMS) is an oral surgical procedure that utilizes the magnification and illumination provided by a microscope. Fine instruments are used to remove periapical diseased tissues, resect the root apex, and tightly seal the root canal system, aiming to promote the healing of periapical tissues and retain the affected tooth whenever possible. Precise localization and resection of the root apex have always been challenging in EMS. The application of digital technology in EMS can address many issues in traditional endodontic microsurgery. Digital technology offers advantages such as optimizing surgical planning, providing precise positioning guidance, and enhancing operational accuracy. Currently, the commonly used digital technologies in EMS include static and dynamic navigation technologies and oral surgical robots. Static navigation technology enhances surgical predictability through precise preoperative planning and guided fabrication, yet is constrained by its inability to adjust during surgery. Dynamic navigation technology excels in real-time tracking and intraoperative flexibility but demands high hand-eye coordination from surgeons and may be hindered by bulky handheld devices. Oral surgical robots reduce hand tremors and human error in surgery with their high precision, stability, and ability to adjust in real time, but their clinical applicability is limited and their cost is high. In clinical practice, tailored combinations of these technologies can be applied based on case complexity. For simple cases with well-defined anatomy, static navigation alone may suffice. For complex anatomical cases, static navigation can provide initial planning, supplemented by dynamic navigation for real-time guidance or robotic systems for high-precision execution. This paper discusses the workflow, clinical application status and advantages and limitations of these three digital technologies in EMS. The continuous development of digital technology is expected to simplify the operation process, improve the navigation accuracy, and reduce the operation cost. It is believed that with continuous improvement and optimization, these technologies will effectively break through the current bottleneck of the cost of equipment, operation complexity, and accuracy enhancement. These technologies are also expected to further expand the application boundaries, providing more minimally invasive, precise, and time-saving personalized treatment solutions for endodontic diseases.

Objective: To quantitatively assess the health risk of preservatives from beverages around primary schools in Anshun City, and to provide scientific basis for precise food safety supervision. Methods: From December 2023 to July 2024, 602 beverage samples were randomly collected from within 100 meters of 19 primary schools in Anshun City. The content of benzoic acid, sorbic acid, and dehydroacetic acid was detected according to GB 5009 series standards. Combined with children s physiological parameters (body weight 30 kg, daily intake 0.15 L), the Hazard Quotient (HQ) and Hazard Index (HI) models were used to evaluate health risks. Results: The total detection rate of preservatives from beverages around primary schools was 63.0%, and the total over limit rate was 9.0%. The detection rate of preservatives in flavored beverages was the highest (72.6%), and the highest over limit rate of preservatives in special purpose beverages was the highest (17.2%). The single preservative HQ (benzoic acid up to 0.47 ) and mixed HI (up to 0.55) of all samples were below 1(safety threshold). However, the HQ value of benzoic acid in flavored beverages (0.47) was 2.9 times that of sorbic acid (0.16), contributing significantly to health risk. Sensitivity analysis showed that if the daily consumption increased to 0.3 L, the HI value of flavored beverages would rise to 1.11, exceeding the safety threshold. Enterprise scale analysis showed that the exceedance rate of special purpose beverages in large enterprises reached 30.0%, while micro enterprises, accounting for a dominant market share (52.2%), constituted the main source of children s daily exposure to their products. Conclusions The overall health risk of perservatives in beverages sold near primary schools in Anshun City is controllable, but there is a noticeable risk of gradient. The risk of children’s exposure to preservatives through beverage consumption should not be ignored.

Artificial intelligence has brought leapfrog development to medical education， and the fourth generation of medical education， characterized by health-centered， cross-disciplinary integration and extensive application of AI technologies， is on the horizon. AI-empowered medical education provides educators with multifaceted assistance， such as aiding in lesson plan design and facilitating curriculum planning. However， the particularity of medical education and the mechanical nature of AI algorithms have led to ethical dilemmas when AI is integrated into medical education， such as alienation of the teacher-student relationship and imbalance of teaching and learning relationship， the loss of humanistic spirit and deviation from the essence of medical education， as well as failure of subject rights and algorithm infringement of personal rights and interests. Confronting the ethical dilemmas of AI-empowered higher medical education， collaborative governance among the government， society， hospitals， and schools is necessitated. Countermeasures must be implemented across multiple dimensions， such as reshaping the individual teachers and students to consolidate the balance of teaching， strengthening the humanistic spirit to return medical humanities to their essence， and improving the ethical environment to safeguard the legitimate rights and interests of the subjects.

Objective To investigate the expression characteristics of the transcription factor E2F2 in clear cell renal cell carcinoma (ccRCC), its impact on patient prognosis, and its potential role in the tumor immune microenvironment, with validation using clinical samples and functional assays. Methods RNA sequencing data and clinical information of ccRCC patients were obtained from the TCGA database; GSE53757 and GSE66272 datasets were downloaded from the GEO database as external validation cohorts. The expression difference of E2F2 between ccRCC tissue and normal tissue was compared, and the relationship between E2F2 expression and clinical pathological characteristics was analyzed. Kaplan-Meier (KM) survival analysis with log-rank test was performed to evaluate the effects of E2F2 on overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS). The prognostic efficacy of E2F2 in predicting 1-, 3- and 5-year survival was evaluated using receiver operating characteristic (ROC) curve. GSEA was performed to identify E2F2-related signaling pathways, and the ESTIMATE and CIBERSORT algorithms were used to assess the relationship between E2F2 expression level and tumor immune cell infiltration and immune microenvironment. Twenty pairs of surgically resected and pathologically confirmed ccRCC tissues and matched adjacent non-tumor tissues were collected from our hospital, and immunohistochemistry (IHC) was performed to detect the protein expression of E2F2. Human ccRCC cell line 786-O was used for functional assays;shRNA was used to knock down E2F2 expression (constructing stable shE2F2#1 and shE2F2#2 cell lines), and qRT-PCR and Western blot were performed to verify knockdown efficiency, followed by MTT, colony formation, and Transwell migration assays to evaluate the effects of E2F2 on the biological behaviors of ccRCC cells. Results E2F2 was significantly upregulated in ccRCC tissues (the same results in the verification set). Higher E2F2 expression was associated with advanced histological grade, clinical stage and higher TNM classification (P＜0.05). KM analysis showed that patients in the E2F2 high-expression group had worse OS, PFS, and DSS (P=0.019, 0.036, ＜0.001); the ROC curves showed area under the curve (AUC) of E2F2 of predicting 1-, 3- and 5- year survival of ccRCC patients were 0.844, 0.851 and 0.815, respectively. GSEA revealed that the E2F2 low-expression group was enriched in multiple metabolism-related pathways, whereas the E2F2 high-expression group was associated with immune-related pathways. Immune analysis demonstrated that high E2F2 expression was associated with increased immune scores, increased proportion of immune cells, higher tumor mutation burden, and potentially stronger immunotherapy response. IHC results showed that the E2F2 immunoreactivity score in ccRCC tissues was significantly higher than that in adjacent non-tumor tissues (P＜0.05). Functional assays indicated that E2F2 knockdown significantly inhibited the proliferation, colony formation, and migration of ccRCC cells. Conclusion E2F2 is highly expressed in ccRCC and may be involved in tumorigenesis and progression through modulation of the immune microenvironment. Its expression level is closely associated with patient prognosis, and E2F2 has the potential to serve as a prognostic biomarker and immunotherapeutic target in ccRCC.

OBJECTIVE To explore the mechanism of Jiawei xiaochaihu decoction against hippocampal neuronal apoptosis in acute epileptic model mice. METHODS Thirty-six male KM mice were randomly divided into four groups with 9 mice in each group： normal control group （normal saline）， epilepsy model group （normal saline）， Jiawei xiaochaihu decoction group [7 g/（kg·d）] and carbamazepine group [positive control， 30 mg/（kg·d）]. Except for the normal control group， the acute epilepsy model was established in the other groups. After successful modeling， mice in each group were given corresponding drugs or normal saline by intragastric administration once a day for 2 consecutive weeks. After drug intervention， the ultrastructure and pathological morphology of hippocampal CA1 region were observed. The number of TUNEL-positive cells in hippocampus was detected， and the expression levels of protein kinase B （AKT）， Caspase-3， B-cell lymphoma-extra large （Bcl-xL）， Bcl-2-associated X protein （Bax）， as well as the ratio of phosphorylated AKT（p-AKT） to AKT were determined. RESULTS Compared with the normal control group， severe ultrastructural and pathological damages were observed in the hippocampal CA1 region of epilepsy model group； the number of TUNEL-positive cells was significantly increased （ P ＜0.05）. The expression levels of p-AKT and Bcl-xL were significantly down-regulated （ P ＜0.05）， while the Bax and Caspase-3 were significantly up-regulated （ P ＜0.05），accompanied by a remarkable decrease of p-AKT/AKT ratio （ P ＜0.05）. Compared with the epilepsy model group， hippocampal tissue ultrastructure， pathological damage， and the aforementioned indicators were significantly improved in Jiawei xiaochaihu decoction group （ P ＜0.05）. CONCLUSIONS Jiawei xiaochaihu decoction can inhibit hippocampal neuronal apoptosis in acute epileptic mice， and its mechanism may be related to activating AKT phosphorylation， increasing p-AKT/AKT ratio， up-regulating Bcl-xL expression and down-regulating the expression of Bax and Caspase-3.

ObjectiveTo investigate the independent risk factors for decompensation in patients with liver cirrhosis， to construct a nomogram-based risk assessment model， and to assess its risk assessment performance and clinical value by comparing it with Model for End-Stage Liver Disease （MELD）， MELD combined with serum sodium concentration （MELD-Na）， and MELD 3.0 scoring system. MethodsA retrospective analysis was performed for 514 patients with liver cirrhosis who attended The First Hospital of Shanxi Medical University from January 2020 to May 2025， and related data were collected， including demographic data and laboratory markers. According to the presence or absence of decompensation， the patients were divided into compensation group with 275 patients and decompensation group with 239 patients. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The least absolute shrinkage and selection operator regression analysis was used for screening of variables， and the multivariate logistic regression analysis was used to identify independent risk factors for decompensated liver cirrhosis and construct a nomogram model. The receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis were used to assess the discriminatory ability， calibration， and net clinical benefit of the model. ResultsThe multivariate logistic regression analysis showed that low hemoglobin （odds ratio ［OR］=0.984， 95% confidence interval ［CI］： 0.969　—　0.999， P<0.05）， low lymphocytes （OR=0.564， 95%CI： 0.383　—　0.830， P<0.05）， high international normalized ratio （OR=3.131， 95%CI： 1.242　—　7.891， P<0.05）， and low serum sodium （OR=0.922， 95%CI： 0.872　—　0.975， P<0.05） were independent risk factors for decompensation events in patients with liver cirrhosis. Construct the prediction model equation： Logit（P）=intercept value－0.016×hemoglobin－0.573×lymphocytes+1.141×INR－0.081×serum sodium. The nomogram constructed based on these factors had a good discriminatory ability， with an area under the ROC curve （AUC） of 0.787， a specificity of 77.8%， and a sensitivity of 67.4%， and it had significantly better predictive performance than MELD score （AUC=0.718）， MELD-Na score （AUC=0.719）， and MELD 3.0 score （AUC=0.725）. The calibration curve showed good consistency between the probability of risk assessed by the model and the observed probability. The decision curve analysis showed that compared with the MELD-based scores， this model provided higher net clinical benefit across a wide range of risk thresholds. ConclusionThis study successfully constructed and validated a nomogram risk assessment model incorporating hemoglobin， international normalized ratio， lymphocytes， and serum sodium. This model has good clinical practicability and can help to achieve early identification of high-risk patients with decompensated liver cirrhosis and optimize intervention strategies in clinical practice.

OBJECTIVE To explore the mechanism of Jiawei xiaochaihu decoction against hippocampal neuronal apoptosis in acute epileptic model mice. METHODS Thirty-six male KM mice were randomly divided into four groups with 9 mice in each group： normal control group （normal saline）， epilepsy model group （normal saline）， Jiawei xiaochaihu decoction group [7 g/（kg·d）] and carbamazepine group [positive control， 30 mg/（kg·d）]. Except for the normal control group， the acute epilepsy model was established in the other groups. After successful modeling， mice in each group were given corresponding drugs or normal saline by intragastric administration once a day for 2 consecutive weeks. After drug intervention， the ultrastructure and pathological morphology of hippocampal CA1 region were observed. The number of TUNEL-positive cells in hippocampus was detected， and the expression levels of protein kinase B （AKT）， Caspase-3， B-cell lymphoma-extra large （Bcl-xL）， Bcl-2-associated X protein （Bax）， as well as the ratio of phosphorylated AKT（p-AKT） to AKT were determined. RESULTS Compared with the normal control group， severe ultrastructural and pathological damages were observed in the hippocampal CA1 region of epilepsy model group； the number of TUNEL-positive cells was significantly increased （ P ＜0.05）. The expression levels of p-AKT and Bcl-xL were significantly down-regulated （ P ＜0.05）， while the Bax and Caspase-3 were significantly up-regulated （ P ＜0.05），accompanied by a remarkable decrease of p-AKT/AKT ratio （ P ＜0.05）. Compared with the epilepsy model group， hippocampal tissue ultrastructure， pathological damage， and the aforementioned indicators were significantly improved in Jiawei xiaochaihu decoction group （ P ＜0.05）. CONCLUSIONS Jiawei xiaochaihu decoction can inhibit hippocampal neuronal apoptosis in acute epileptic mice， and its mechanism may be related to activating AKT phosphorylation， increasing p-AKT/AKT ratio， up-regulating Bcl-xL expression and down-regulating the expression of Bax and Caspase-3.

Polycystic ovary syndrome （PCOS） is a common reproductive-endocrine and metabolic disorder in women of reproductive age， and chronic low-grade inflammation is closely associated with its pathogenesis. Studies have confirmed that the abnormal activation of NOD-like receptor protein 3 （NLRP3） inflammasome， a key complex of the innate immune system， not only mediates the formation of local ovarian inflammatory microenvironment， but also deeply participates in the processes of hyperandrogenemia， follicular developmental arrest and systemic insulin resistance in PCOS patients. A variety of single-herb medicines and their active ingredients （such as ginsenosides， evening primrose oil， safflower yellow， etc.）， as well as compound prescriptions including Jianpi yishen huazhuo formula， Bushen huatan formula and Bushen huoluo decoction， can effectively alleviate chronic low-grade inflammation related to PCOS， ameliorate insulin resistance， hyperandrogenemia and abnormal ovarian microenvironment by inhibiting the abnormal activation of NLRP3 inflammasome， and ultimately promote follicular development and the recovery of ovulatory function. Nevertheless， the methodological quality of existing studies is generally low， and clinical translation is still restricted by the heterogeneity of experimental models， unclear pharmacodynamic material basis and lack of high-quality evidence-based data. Multi-omics technologies should be adopted in future research to further analyze the compatibility rules of Chinese herbal compound prescriptions， and stratified studies should be carried out according to different phenotypes of PCOS.

Objective To construct three models, SARIMA, XGBoost, and LightGBM, to predict the future trend of human brucellosis in mainland China, and to provide a basis for formulating policies for the prevention and control of brucellosis. Methods Monthly case data of human brucellosis in mainland China from 2014 to 2023 were collected. The SARIMA model was constructed using R 4.4.1. The XGBoost and LightGBM models were constructed using Python 3.8. Results From 2014 to 2023, a total of 536,443 cases of human brucellosis were reported in mainland China. The incidence rate first decreased and then increased. The average annual incidence was 3.82 per 100,000 people. The LightGBM model effectively captured the complex time‑series characteristics of human brucellosis. It had good performance while accurately predicting the trend. Based on the optimal LightGBM model, a short‑term prediction was made for the trend of human brucellosis in 2024. The results showed that in 2024, the disease would still have a clear seasonal pattern in China. The peak months were from April to June. The highest number of cases was in June (8,733.48 cases). The lowest number was in October (3,260.69 cases). The predicted total number of cases for the year was about 70,260. Overall, the incidence remained high. Conclusion China remains in a high-incidence phase of human brucellosis, necessitating further implementation of prevention and control measures and enhanced supervision and monitoring in key regions.