ObjectiveTo explore the expression levels of long non-coding RNA （lncRNA） H19 and microRNA-22-3p （miR-22-3p） in the serum of patients with acute myocardial infarction （AMI） and their diagnostic value for AMI. MethodsA total of 176 AMI patients were selected as the experimental group and were divided into ST-segment elevation myocardial infarction （STEMI） group （n=95） and non-ST-segment elevation myocardial infarction （NSTEMI） group （n=81） based on their medical history and electrocardiogram. Meanwhile， 156 patients with negative angiography during the same period were selected as the control group （CON group）. The relative expression levels of lncRNA H19 and miR-22-3p in the serum of the two groups were detected by real-time fluorescence quantitative polymerase chain reaction. The diagnostic value of miR-22-3p and lncRNA H19 in AMI was evaluated by receiver operating characteristic curve （ROC） analysis. The levels of serum cardiac troponin I （cTnI）， creatine kinase （CK）， creatine kinase MB isoenzyme （CK-MB）， and high-sensitivity C-reactive protein （CRP） were detected in all study subjects. Spearman correlation analyses were used to evaluate the correlations between lncRNA H19 and miR-22-3p and cTnI， CK， CK-MB and CRP. ResultsCompared with the control group， the expression level of lncRNA H19 was upregulated and the expression level of miR-22-3p was downregulated in the AMI group （all P<0.01）； compared with the NSTEMI group， the expression level of lncRNA H19 was upregulated and the expression level of miR-22-3p was downregulated in the STEMI group （P<0.01）. The areas under the ROC curves （AUC） for the diagnosis of AMI by miR-22-3p， lncRNA H19 and their combination were 0.555， 0.977， and 0.983， respectively. lncRNA H19 was positively correlated with cTnI， CK， CK-MB and CRP （P<0.05）， and negatively correlated with left ventricular ejection fraction （LVEF） （P<0.001）； miR-22-3p was negatively correlated with cTnI， CK and CRP， and positively correlated with LVEF （P<0.05）. ConclusionThe expression level of lncRNA H19 is elevated and the expression level of miR-22-3p decreased in AMI patients， and their levels may have potential value as an auxiliary biomarker for AMI diagnosis and cardiac function assessment.

Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Objective To detect the content of rheumatoid factor(RF)after RF-CIC dissociation using serum circulating immune complexes(CIC)dissociation technology and evaluate its diagnostic and clinical value in rheumatic arthritis(RA).Methods 55 RA patients diagnosed and treated in the 903rd Hospital of the People's Liberation Army from January 2024 to December 2024 were selected as the RA disease group,and 20 healthy individuals were selected as the control group.In addition,57 non RA pa-tients with symptoms resembling RA[patients with systemic lupus erythematosus(SLE),gout,ankylosing spondylitis(AS),osteo-arthritis,etc)]as the non RA disease group.Using CIC dissociation technology,RF content after RF-CIC dissociation was detect-ed in the serum of all three groups of study subjects,and C-reactive protein(CRP)and RF levels in all subjects were detected using a biochemical analyzer.Analyzed and compared the differences in the positive rate and levels of RF-CIC among three groups object of study.In addition,analyze and compare the correlation between RF-CIC and inflammatory index CRP.Results The positive rates of RF-CIC in the serum of RA disease group,non RA disease group,and control group were 87.27%(48/55),10.53%(6/57)and 0.0%(0/20),respectively,and the differences between the three groups was statistically significant(χ2=84.520,P<0.05).Further subgroup analysis showed that the RF-CIC positivity rate in the RF negative subgroup of RA disease patients[61.11%(11/18)]higher than that in the non RA disease group[1.92%(1/52)]and the control group[0%(0/20)],and the differ-ences were statistically significant(χ2=44.493,21.671,all P<0.05).The RF-CIC positivity rate was higher in RF positive pa-tients than in RF negative patients in the RA disease group(100%vs 61.11%),and the difference was statistically significant(χ2=16.487,P<0.05).The RF-CIC content in the serum of RF positive patients in the RA disease group was higher than that of RF negative patients[16.35(10.53,26.49)vs 3.57(2.53,3.89)],and the difference was statistically significant(Z=-4.243,P<0.05).Correlation analysis showed that the levels of CRP and RF in the serum of RA patients were positively correlated with the levels of RF-CIC(r=0.490,0.970,all P<0.05).Conclusion RF-CIC demonstrates high positivity even in RF-negative RA patients,and their levels correlate with CRP.RF-CIC shows potential as a serological indicator for early diagnosis and disease activity assess-ment in RA.

Objective To detect the content of rheumatoid factor(RF)after RF-CIC dissociation using serum circulating immune complexes(CIC)dissociation technology and evaluate its diagnostic and clinical value in rheumatic arthritis(RA).Methods 55 RA patients diagnosed and treated in the 903rd Hospital of the People's Liberation Army from January 2024 to December 2024 were selected as the RA disease group,and 20 healthy individuals were selected as the control group.In addition,57 non RA pa-tients with symptoms resembling RA[patients with systemic lupus erythematosus(SLE),gout,ankylosing spondylitis(AS),osteo-arthritis,etc)]as the non RA disease group.Using CIC dissociation technology,RF content after RF-CIC dissociation was detect-ed in the serum of all three groups of study subjects,and C-reactive protein(CRP)and RF levels in all subjects were detected using a biochemical analyzer.Analyzed and compared the differences in the positive rate and levels of RF-CIC among three groups object of study.In addition,analyze and compare the correlation between RF-CIC and inflammatory index CRP.Results The positive rates of RF-CIC in the serum of RA disease group,non RA disease group,and control group were 87.27%(48/55),10.53%(6/57)and 0.0%(0/20),respectively,and the differences between the three groups was statistically significant(χ2=84.520,P<0.05).Further subgroup analysis showed that the RF-CIC positivity rate in the RF negative subgroup of RA disease patients[61.11%(11/18)]higher than that in the non RA disease group[1.92%(1/52)]and the control group[0%(0/20)],and the differ-ences were statistically significant(χ2=44.493,21.671,all P<0.05).The RF-CIC positivity rate was higher in RF positive pa-tients than in RF negative patients in the RA disease group(100%vs 61.11%),and the difference was statistically significant(χ2=16.487,P<0.05).The RF-CIC content in the serum of RF positive patients in the RA disease group was higher than that of RF negative patients[16.35(10.53,26.49)vs 3.57(2.53,3.89)],and the difference was statistically significant(Z=-4.243,P<0.05).Correlation analysis showed that the levels of CRP and RF in the serum of RA patients were positively correlated with the levels of RF-CIC(r=0.490,0.970,all P<0.05).Conclusion RF-CIC demonstrates high positivity even in RF-negative RA patients,and their levels correlate with CRP.RF-CIC shows potential as a serological indicator for early diagnosis and disease activity assess-ment in RA.

Objective::Pulmonary hypertension secondary to left heart failure is associated with an abnormal response to exercise and poor prognosis. The objective of this study is to develop an algorithm by using data from cardiopulmonary exercise testing (CPET) to assess the severity of pulmonary hemodynamics and predict clinical worsening and mortality in patients with heart failure.Methods::From April 2017 to December 2018, a total of 102 patients with heart failure who underwent CPET and invasive right heart catheterization participated in this prospective study. All enrolled patients had their clinical characteristics, hemodynamic parameters, and CPET results. Based on the CPET data namely peak oxygen uptake, the minute ventilation/carbon dioxide production slope, resting end-tidal carbon dioxide, oxygen uptake/work rate flattening, exercise oscillatory ventilation, and oxygen uptake efficiency slope, a Heart Failure Cardiopulmonary Exercise (HFCE) score was developed. The total score was then calculated to categorize patients into 3 groups: low score (0-3) ( n = 31), intermediate score (4-7) ( n = 45), and high score (8-14) ( n = 26). Clinical events were defined as all-cause death and rehospitalization for heart failure, which were recorded and tracked for at least 12 months. Pearson’s correlation coefficients were calculated to assess the relationship between the HFCE score and hemodynamic parameters, 6-minute walk distance, and N-terminal-pro hormone brain natriuretic peptide. Cox proportional hazards regression analysis was used to identify independent predictors of clinical events. Survival curves for clinical events were generated using the Kaplan-Meier method and compared among the 3 groups with different HFCE scores with a log-rank test. Results::The high HFCE score group had a higher prevalence of New York Heart Association class Ⅲ-Ⅳ (high score vs. intermediate score vs. low score: 85% (22/26) vs. 56% (25/45) vs. 45% (14/31), P = 0.008), higher N-terminal-pro hormone brain natriuretic peptide levels (high score vs. intermediate score vs. low score: (3,039 ± 2,171) ng/L vs. (2,039 ± 2,353) ng/L vs. (1,438 ± 947) ng/L, P = 0.035), lower 6-minute walk distance (high score vs. intermediate score vs. low score: (312 ± 79) m vs. (362 ± 84) m vs. (363 ± 76) m, P = 0.042) compared to intermediate score or low score. The high HFCE score correlated well with high levels of pulmonary vascular resistance ( r = 0.539, P < 0.01), pulmonary artery wedge pressure ( r = 0.292, P < 0.01), and mean pulmonary artery pressure ( r = 0.474, P < 0.01), as well as low levels of cardiac output ( r = -0.357, P < 0.01). Moreover, 46 patients developed composed clinical events at 12 months. In the multivariate model, the HFCE score was an independent predictor of composed clinical events (hazard ratio = 1.142, 95% confidence interval: 1.041-1.253, P = 0.005). Kaplan-Meier analysis showed a significantly higher probability of composed clinical events in patients with a higher HFCE score ( P log-rank = 0.004). Conclusion::The HFCE score—obtained through CPET—provides valuable prognostic information by indicating the severity of hemodynamics in patients with pulmonary hypertension secondary to left heart failure. It can likely serve as a reliable predictor for clinical worsening and mortality.

Objective::Pulmonary hypertension secondary to left heart failure is associated with an abnormal response to exercise and poor prognosis. The objective of this study is to develop an algorithm by using data from cardiopulmonary exercise testing (CPET) to assess the severity of pulmonary hemodynamics and predict clinical worsening and mortality in patients with heart failure.Methods::From April 2017 to December 2018, a total of 102 patients with heart failure who underwent CPET and invasive right heart catheterization participated in this prospective study. All enrolled patients had their clinical characteristics, hemodynamic parameters, and CPET results. Based on the CPET data namely peak oxygen uptake, the minute ventilation/carbon dioxide production slope, resting end-tidal carbon dioxide, oxygen uptake/work rate flattening, exercise oscillatory ventilation, and oxygen uptake efficiency slope, a Heart Failure Cardiopulmonary Exercise (HFCE) score was developed. The total score was then calculated to categorize patients into 3 groups: low score (0-3) ( n = 31), intermediate score (4-7) ( n = 45), and high score (8-14) ( n = 26). Clinical events were defined as all-cause death and rehospitalization for heart failure, which were recorded and tracked for at least 12 months. Pearson’s correlation coefficients were calculated to assess the relationship between the HFCE score and hemodynamic parameters, 6-minute walk distance, and N-terminal-pro hormone brain natriuretic peptide. Cox proportional hazards regression analysis was used to identify independent predictors of clinical events. Survival curves for clinical events were generated using the Kaplan-Meier method and compared among the 3 groups with different HFCE scores with a log-rank test. Results::The high HFCE score group had a higher prevalence of New York Heart Association class Ⅲ-Ⅳ (high score vs. intermediate score vs. low score: 85% (22/26) vs. 56% (25/45) vs. 45% (14/31), P = 0.008), higher N-terminal-pro hormone brain natriuretic peptide levels (high score vs. intermediate score vs. low score: (3,039 ± 2,171) ng/L vs. (2,039 ± 2,353) ng/L vs. (1,438 ± 947) ng/L, P = 0.035), lower 6-minute walk distance (high score vs. intermediate score vs. low score: (312 ± 79) m vs. (362 ± 84) m vs. (363 ± 76) m, P = 0.042) compared to intermediate score or low score. The high HFCE score correlated well with high levels of pulmonary vascular resistance ( r = 0.539, P < 0.01), pulmonary artery wedge pressure ( r = 0.292, P < 0.01), and mean pulmonary artery pressure ( r = 0.474, P < 0.01), as well as low levels of cardiac output ( r = -0.357, P < 0.01). Moreover, 46 patients developed composed clinical events at 12 months. In the multivariate model, the HFCE score was an independent predictor of composed clinical events (hazard ratio = 1.142, 95% confidence interval: 1.041-1.253, P = 0.005). Kaplan-Meier analysis showed a significantly higher probability of composed clinical events in patients with a higher HFCE score ( P log-rank = 0.004). Conclusion::The HFCE score—obtained through CPET—provides valuable prognostic information by indicating the severity of hemodynamics in patients with pulmonary hypertension secondary to left heart failure. It can likely serve as a reliable predictor for clinical worsening and mortality.

Background Enhancing the sense of honor and belonging among medical staff is a key component of establishing a modern hospital management system. Compared to medical staff at general hospitals, medical staff at oncology hospitals are more prone to job burnout, yet few studies in China have focused on job burnout among employees in oncology hospitals. Objective To propose a hypothetical model in which job well-being moderates the relationship between stressors and occupational burnout, to explore how stressors influence burnout and potential moderating role of job well-being, and to provide better understanding of job burnout and motivate employees based on the double-edge sword effect of stressors. Methods A cross-sectional survey was conducted in May 2022 at a tertiary oncology specialty hospital in Chongqing, China. A total of 1 898 medical staff were recruited. Data were collectedthrough four scales including a general information questionnaire, Maslach Burnout Inventory-Human Service Survey, Work Stressor Scale, and Occupational Well-being Scale for Medical Staff. Independent sample t-tests and one-way ANOVA were used for univariate comparisons of job burnout. Pearson correlation analysis was employed to examine the relationships between job burnout, stressors, and job well-being. Hierarchical linear regression was conducted to identify factors influencing job burnout and to examine potential moderating role of job well-being in the relationship between stressors and job burnout. Results A total of 2 123 questionnaires were distributed, with 1 898 valid responses, yielding an effective response rate of 89.4%. The prevalence of job burnout was 60.1%. The correlation coefficient was 0.717 (P<0.001) between stressors and burnout, −0.784 (P<0.05) between job well-being and burnout, and −0.744 (P<0.001) between stressors and job well-being. The quadratic stressors showed a statistically significant effect on burnout (β=0.404, P<0.01). Job well-being positively moderated the relationship between the linear stressors and burnout (β=1.289, P<0.001) and negatively moderated the relationship between the quadratic stressors and job burnout (β=−0.571, P<0.01), explaining 7.1% of the variance. Conclusion Job burnout prevalence is relatively high among employees in oncology hospitals. There is a curvilinear relationship between stressors and job burnout, with job well-being moderating this relationship. From a practical perspective, it is recommended to establish a tiered stress alert system to monitor employees’ stress levels and prevent prolonged exposure to high-pressure conditions. Additionally, improving employees’ job well-being through institutional incentives and developmental support can enhance its moderating role in mitigating the adverse effects of stressors on job burnout. Meanwhile, fostering coordinated responses between organizations and individuals is crucial for strengthening mental health management systems, thereby supporting a healthy, stable, and sustainable development of the healthcare workforce.

Abstract Health literate schools (HeLit-Schools) play a significant role in fostering students health literacy. The paper elucidates the background and conceptual connotations of HeLit-Schools, and analyzes how HeLit-Schools effectively integrate and enhance the health literacy of schools in three aspects: philosophy and core drivers, strategy and method implementation, as well as evaluation mechanisms and standard setting. Furthermore, the paper explores the implications of foreign HeLit-Schools research and practice for China under the context of "Healthy China" construction, as well as the key strategies for Chinese schools in the implementation of HeLit-Schools, aiming to provide a new perspective and theoretical support for Chinese schools to practice the "Healthy China initiative" and strengthen school construction from the perspective of health literacy.

Modulating Tankyrases (TNKS), interactions with USP25 to promote TNKS degradation, rather than inhibiting their enzymatic activities, is emerging as an alternative/specific approach to inhibit the Wnt/β-catenin pathway. Here, we identified UAT-B, a novel neoantimycin analog isolated from Streptomyces conglobatus, as a small-molecule inhibitor of TNKS-USP25 protein-protein interaction (PPI) to overcome multi-drug resistance in colorectal cancer (CRC). The disruption of TNKS-USP25 complex formation by UAT-B led to a significant decrease in TNKS levels, triggering cell apoptosis through modulation of the Wnt/β-catenin pathway. Importantly, UAT-B successfully inhibited the CRC cells growth that harbored high TNKS levels, as demonstrated in various in vitro and in vivo studies utilizing cell line-based and patient-derived xenografts, as well as APC^min/+ spontaneous CRC models. Collectively, these findings suggest that targeting the TNKS-USP25 PPI using a small-molecule inhibitor represents a compelling therapeutic strategy for CRC treatment, and UAT-B emerges as a promising candidate for further preclinical and clinical investigations.

Abstract As dietary issues of children and adolescents become increasingly complex, the assessment of food literacy (FL) is increasingly importance. FL involves a comprehensive cognition and practical ability concerning food among children, playing a key role in fostering healthy eating habits and improving health levels. The article explores the definition and connotations of FL, and introduces eight FL assessment tools in terms of theoretical foundations, dimensions, assessment methods, and their reliability and validity. Moreover, it provides a comparative analysis of these tools by examining their dimensional design, evaluation indicators, strengths, and weaknesses, as well as their applicable subjects and scenarios, aiming to offer references for implementing relevant policies and developing more comprehensive and effective FL assessment tools.