ObjectiveTo explore the possible mechanism of Jianpi Huazhuo Tiaozhi Granule （健脾化浊调脂颗粒， JHTG） in treating atherosclerosis （AS） based on the regulation of perivascular adipose tissue （PVAT） browning via the phosphoinositide 3-kinase/protein kinase B （PI3K/AKT） signaling pathway. MethodsFifteen SPF male C57BL/6J mice served as control group， while 76 ApoE^-/- mice were first fed a high-fat diet for 16 weeks to establish AS model. After successful modeling， they were randomly divided into model group （n=16）， as well as the browning group， the low-， medium- and high-dose JHTG group， with 15 mice in each group. The browning group was intraperitoneally injected with β3-adrenergic receptor agonist CL 316243 at 1 mg/（kg·d） once daily. The low-， medium- and high-dose JHTG groups were treated with 4.3 g/（kg·d）， 8.6 g/（kg·d）， and 17.2 g/（kg·d） of JHTG by gavage， respectively， while the control group and the model group were given normal saline at 10 ml/（kg·d） by intragastric administration， once daily. All groups received continuous intervention for 4 weeks. The aorta was collected to assess the plaque ratio by gross oil red O staining. HE staining was used to measure the plaque area in cross-sections. Masson staining was employed to detect the proportion of collagen fibers in plaque. Transmission electron microscopy was used to observe the quantity and morphological changes of mitochondria and lipid droplets in adipocytes. The levels of serum triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） were detected， as well as tumor necrosis factor α （TNF-α） and interleukin 6 （IL-6） levels in the PVAT and aorta. The protein levels of adiponectin and leptin in PVAT， and protein expression levels of phosphoinositide 3-kinase （PI3K）， phosphorylated phosphoinositide 3-kinase （p-PI3K）， protein kinase B （AKT）， phosphorylated protein kinase B （p-AKT）， uncoupling protein 1 （UCP1）， peroxisome proliferator-activated receptor γ coactivator 1α （PGC-1α）， and PR domain containing 16 （PRDM16） were measured. The mRNA expression levels of UCP1， PGC-1α and PRDM16 in PVAT were detected. ResultsCompared to the control group， the model group showed increased serum TG， TC， and LDL-C levels and decreased HDL-C level， elevated TNF-α and IL-6 levels in PVAT and aorta， decreased average fluorescence intensity of adiponectin， increased average fluorescence intensity of leptin， reduced p-PI3K/PI3K and p-AKT/AKT values as well as protein levels and mRNA expression levels of UCP1， PGC-1α and PRDM16 （P＜0.01）. The pathological results showed that no significant plaque formation was observed in the aortas of mice in the control group. In the model group， multiple plaques were observed in the aortas， with large numbers of foam cells， cholesterol crystals， and inflammatory cell aggregation in the plaques. Compared to the model group， the browning group and the high-dose JHTG group significantly improved the above indicators and aortic pathological changes （P＜0.05 or P＜0.01）. Three JHTG groups showed a dose-dependent effect in reducing LDL-C level and plaque ratio by gross oil red O staining， elevating the average fluorescence intensity of adiponectin， the p-AKT/AKT value， the protein level of PGC-1α， and the mRNA expression levels of UCP1 and PRDM16 （P＜0.05）. The high-dose JHTG group and the browning group showed similar efficacy in improving the pathology of the aorta. ConclusionJHTG may promote PVAT browning in AS model mice through the PI3K/AKT pathway， improve the endocrine function of PVAT， inhibit aortic inflammation， and thereby ameliorate the formation of AS plaques.

Objective: To examine the association between school sports environment and exercise habits among college students, and to test the mediating role of weight management intention in the relationship, so as to provide empirical evidence for promoting exercise habit formation of college students. Methods: A multi stage cluster sampling survey was conducted from April 15 to May 15, 2025, among 2 687 undergraduates from 8 colleges in Beijing, Shandong, Henan, Shanxi and Guangxi Zhuang Autonomous Region in China. School Sports Environment Characteristics Questionnaire, Weight Management Behavioral Intention Questionnaire and College Students Exercise Habit Scale were used for evaluation. Pearson correlation analysis was applied to examine the correlations among the three variables. A structural equation model (SEM) was constructed using AMOS 26.0, and the mediating effect was tested using the Bootstrap method. Results: The score for school sports environment was (3.72±0.57), with scores of (3.68±0.61) for physical environment and (3.74±0.59) for social environment; the scores for weight management intention and the total exercise habit were (4.21±0.46) and (3.94±0.51). School sports environment was positively correlated with weight management intention ( r =0.56) and exercise habits ( r =0.57), and weight management intention was positively correlated with exercise habits ( r =0.71) (all P <0.01). The SEM showed that school sports environment exerted positive impact on weight management intention ( β =0.50) and exercise habits ( β =0.29), weight management intention had a significant positive path to exercise habits ( β =0.52) (all P <0.01). Weight management intention of college students played a partial mediating role in the association between school sports environment and exercise habits, with an indirect effect of 0.259, accounting for 47.01% of the total effect. Conclusions The school sports environment is positively correlated with college students exercise habits, and might indirectly facilitate habit cultivation by improving weight management intention. While optimizing the physical and social environments of school sports in colleges, colleges should place a strong emphasis on stimulating college students weight management intention to promote the formation of their exercise habits.

Radionuclide drug conjugates(RDC)represent the culmination of interdisciplinary integra-tion.By virtue of their precise targeting capability,high diagnostic sensitivity,and remarkable therapeutic effi-cacy in tumor diagnosis and treatment,RDC has emerged as promising theranostic agents with immense applica-tion potential.This article systematically reviews the progress in RDC development in China from 2009 to 2024,encompassing an overview of RDC,its structure and classification,trends in clinical research,advances in clinical trials,and national policy support.The aim is to provide valuable insights for researchers in related fields,thereby facilitating further development and application of RDC-based therapeutics.

Objective:To construct a tripartite game model involving the government,the public,and the pharmaceutical industry alliance during public health emergencies,revealing the dynamic mechanisms of health-related information quality regulation and exploring effective strategies to optimize the informa-tion dissemination environment through reward-punishment mechanisms.Methods:Based on evolutionary game theory,a tripartite evolutionary game model was established,integrating strategy spaces,payoff functions,and parameter definitions for each stakeholder.The pharmaceutical industry alliance's strate-gies included publishing high-or low-quality information(α),the public's strategies encompassed ration-al analysis or passive response(β),and the government's strategies involved regulatory enforcement or inaction(γ).Key parameters,such as economic benefits(Iyy),regulatory costs(Czf),penalties(Fyy),and incentives(Pyy),were quantified to reflect real-world scenarios.Replicator dynamic equa-tions and Jacobian matrices were derived to analyze the stability of equilibrium points,while MATLAB 2016a simulations were conducted to validate the model under varying initial conditions(e.g.,Iyy=100,150,200;Pyy=0,20,35;Fyy=0,10,20).Sensitivity analyses examined the impact of critical pa-rameters on system evolution,by 50 iterative simulations to observe convergence patterns.Results:The study revealed three key findings:(1)Public rational discernment(β)significantly influenced the phar-maceutical industry's strategy.Simulations demonstrated that increasing Iqz(benefits of information acqui-sition)reduced Cqz(cognitive costs),elevating β from 0.4 to 0.8 and driving α(high-quality information probability)to stabilize at 1.(2)Government regulatory intensity(γ)correlated positively with the so-cial hazards of low-quality information.When Fyy+Pyy＞Iyy,speculative behaviors decreased,achieving equilibrium at α=1.(3)Dual stable equilibria emerged:a high-quality equilibrium(α=1,β=1,γ=0)with lower regulatory costs and a low-quality equilibrium(α=0,β=0,γ=1)associated with higher social risks.Phase diagrams illustrated path dependency,where initial α＜0.5 led to the low-quality equilibrium unless dynamic penalties(Fyy＞20)and incentives(Pyy＞30)were enforced.Conclusion:A"carrot-stick"collaborative governance framework is proposed,emphasizing categorized regulation,AI-enabled auditing,and dynamic penalty systems.Future research should integrate emotional utility func-tions to address irrational decision-making impacts,thereby enhancing the adaptability of health informa-tion regulatory systems.

Radionuclide drug conjugates(RDC)represent the culmination of interdisciplinary integra-tion.By virtue of their precise targeting capability,high diagnostic sensitivity,and remarkable therapeutic effi-cacy in tumor diagnosis and treatment,RDC has emerged as promising theranostic agents with immense applica-tion potential.This article systematically reviews the progress in RDC development in China from 2009 to 2024,encompassing an overview of RDC,its structure and classification,trends in clinical research,advances in clinical trials,and national policy support.The aim is to provide valuable insights for researchers in related fields,thereby facilitating further development and application of RDC-based therapeutics.

Objective:To construct a tripartite game model involving the government,the public,and the pharmaceutical industry alliance during public health emergencies,revealing the dynamic mechanisms of health-related information quality regulation and exploring effective strategies to optimize the informa-tion dissemination environment through reward-punishment mechanisms.Methods:Based on evolutionary game theory,a tripartite evolutionary game model was established,integrating strategy spaces,payoff functions,and parameter definitions for each stakeholder.The pharmaceutical industry alliance's strate-gies included publishing high-or low-quality information(α),the public's strategies encompassed ration-al analysis or passive response(β),and the government's strategies involved regulatory enforcement or inaction(γ).Key parameters,such as economic benefits(Iyy),regulatory costs(Czf),penalties(Fyy),and incentives(Pyy),were quantified to reflect real-world scenarios.Replicator dynamic equa-tions and Jacobian matrices were derived to analyze the stability of equilibrium points,while MATLAB 2016a simulations were conducted to validate the model under varying initial conditions(e.g.,Iyy=100,150,200;Pyy=0,20,35;Fyy=0,10,20).Sensitivity analyses examined the impact of critical pa-rameters on system evolution,by 50 iterative simulations to observe convergence patterns.Results:The study revealed three key findings:(1)Public rational discernment(β)significantly influenced the phar-maceutical industry's strategy.Simulations demonstrated that increasing Iqz(benefits of information acqui-sition)reduced Cqz(cognitive costs),elevating β from 0.4 to 0.8 and driving α(high-quality information probability)to stabilize at 1.(2)Government regulatory intensity(γ)correlated positively with the so-cial hazards of low-quality information.When Fyy+Pyy＞Iyy,speculative behaviors decreased,achieving equilibrium at α=1.(3)Dual stable equilibria emerged:a high-quality equilibrium(α=1,β=1,γ=0)with lower regulatory costs and a low-quality equilibrium(α=0,β=0,γ=1)associated with higher social risks.Phase diagrams illustrated path dependency,where initial α＜0.5 led to the low-quality equilibrium unless dynamic penalties(Fyy＞20)and incentives(Pyy＞30)were enforced.Conclusion:A"carrot-stick"collaborative governance framework is proposed,emphasizing categorized regulation,AI-enabled auditing,and dynamic penalty systems.Future research should integrate emotional utility func-tions to address irrational decision-making impacts,thereby enhancing the adaptability of health informa-tion regulatory systems.

Objective To provide a theoretical basis for radiation health supervision through an analysis of the situation of computed tomography (CT) equipment quality control and CT room radiological protection in Guangdong Province, China in recent years. Methods We collected the data of 392 times of CT quality control and radiological protection testing by a third-party radiological health technical service institution in Guangdong Province from 2019 to 2021. We analyzed the levels of CT-owning hospitals, CT manufacturers, CT quality control test results, and the pass rate of radiation protection tests. Results The examined CT scanners were from different levels of hospitals in Guangdong Province, and were manufactured by nine major CT equipment manufacturers at home and abroad. The pass rate of CT room radiological protection was 99.88%, and the ambient dose equivalent rates of five monitoring points exceeded the limit, with four at the control room door and one at the shield wall of the room. The overall pass rate of CT equipment quality control was 99.49%, and the non-conforming parameters were the accuracy of positioning light and the deviation of reconstructed slice thickness. Conclusion In recent years, CT equipment quality control and room radiation protection in Guangdong Province have been at a high level.

To explore the status and characteristics of clinical trials of therapeutic cancer vaccines, and provide the overall trend of clinical translational research of therapeutic cancer vaccines.

To explore the status and characteristics of clinical trials of therapeutic cancer vaccines, and provide the overall trend of clinical translational research of therapeutic cancer vaccines.

Objective To investigate the influencing factors of low cardiac output syndrome(LCOS)after coronary artery bypass grafting(CABG)and construct a nomogram model to predict the risk of LCOS occurrence.Methods A total of 231 patients with coronary atherosclerotic heart disease who underwent CABG surgery in the Heart Center of Henan Provincial People's Hospital from October 2019 to May 2022 were selected for the study.The patients were randomly divided into a training set(n=162)and a validation set(n=69)at a ratio of 7∶3.The comparability between the parameters of the patients in the training and validation sets was assessed.Based on the occurrence of LCOS after CABG,patients in the training set were divided into LCOS group(n=33)and non-LCOS group(n=129).Univariate and multivariate logistic regression analysis were conducted on the sample parameters in the training set to identify independent risk factors for LCOS after CABG.A nomogram prediction model for the risk of LCOS after CABG was constructed,and its discrimination,calibration,and clinical applicability were evaluated by using the receiver operating characteristic curve,calibration curve,and decision curve analysis.Results The incidence of LCOS in patients of the training and validation sets was 20.37％(33/162)and 18.84％(13/69),respectively.There were no statistically significant differences in various parameters between the training and validation sets(P＞0.05).In the training set,there were statistically significant differences in the following parameters between the non-LCOS group and the LCOS group patients,including age,heart rate,blood urea nitrogen,serum creatinine,estimated glomerular filtration rate(eGFR),serum N-terminal pro B-type natriuretic peptide(NT-proBNP),serum troponin T,left ventricular ejection fraction(LVEF),mitral regurgitation area,history of myocardial infarction,proportion of NYHA class Ⅲ-Ⅳ,proportion of patients requiring cardiopulmonary bypass,surgical duration,intraoperative bleeding volume,and postoperative hemodynamic indicators such as central venous pressure,pulmonary arterial diastolic pressure and pulmonary artery pulse index(PAPI)(P＜0.05).Multivariate logistic regression analysis showed that preoperative LVEF decrease[odds ratio(OR)=0.891,95％confidence interval(CI):0.832-0.954,P=0.001)],preoperative eGFR decrease(OR=0.963,95％CI:0.934-0.994,P=0.018),preoperative NT-proBNP increase(OR=1.001,95％CI:1.000-1.001,P=0.006),increased operation time(OR=1.013,95％CI:1.003-1.022,P=0.008),and postoperative PAPI reduction(OR=0.094,95％CI:0.028-0.319,P=0.000)were independent risk factors for LCOS after CABG.A nomogram prediction model was built based on these indicators.In the training set,the nomogram prediction model had an area under the curve(AUC)of 0.931(95％CI:0.890-0.972)for predicting the LCOS occurrence,with a sensitivity of 82.20％and a specificity of 90.90％.In the validation set,the AUC for predicting the LCOS occurrence was 0.907(95％CI:0.813-1.000),with a sensitivity of 96.40％and a specificity of 84.60％.This indicated that the model had high discrimination.The calibration curve showed good consistency between the predicted probability and the actual probability of LCOS occurrence in both the training and validation sets(average absolute error:0.038 and 0.026,respectively).The Hosmer-Lemeshow goodness-of-fit test demonstrated that the model's prediction deviation for the LCOS occurrence was not statistically significant compared to the actual occurrence(x2=6.381,6.907,P＞0.05),indicating good calibration of the model.Conclusion Decreased LVEF and eGFR and elevated NT-proBNP preoperatively,prolonged surgical duration,and decreased PAPI postoperatively are independent risk factors for LCOS after CABG.The nomogram prediction model established based on these factors has high discrimination,calibration,and clinical applicability,and can effectively predict the occurrence of LCOS after CABG.