ObjectiveTo investigate the mechanism by which Mingshi prescription regulates the retinal melanopsin-dopamine （Opn4-DA） axis in myopic mice to inhibit endoplasmic reticulum （ER） stress in the retina and sclera， thereby delaying axial elongation associated with myopia. MethodsSixty 4-week-old male SPF-grade C57BL/6J mice were randomly divided into a normal group， a form-deprived myopia group （FDM group）， an intrinsically photosensitive retinal ganglion cells ablation group （ipRGCs group）， a Mingshi Prescription group （MSF group， 5.2 g·kg^-1）， and an ipRGCs + MSF group （5.2 g·kg^-1）. Except for the normal group， all other groups underwent FDM modeling. Additionally， the ipRGCs and ipRGCs + MSF groups received retinal ipRGC ablation. Three weeks after modeling， the MSF and ipRGCs + MSF groups were administered Mingshi prescription via continuous gavage for six weeks. After refraction and axial length were measured in all mice， eyeballs were collected along with retinal and scleral tissues. Pathological and morphological changes in the retina， choroid， and sclera were observed using periodic acid-Schiff （PAS） staining. Western blot was employed to detect the relative protein expression levels of dopamine D1 receptor （DRD1）， C/EBP homologous protein （CHOP）， and glucose-regulated protein 78 （GRP78） in the retina， and CHOP and GRP78 in the sclera. Real-time PCR was used to detect the relative mRNA expression of Opn4， CHOP， and GRP78 in the retina， and CHOP and GRP78 in the sclera. Immunofluorescence staining （IF） was performed to detect the expression of Opn4 and DRD1 in retinal tissues. ResultsCompared with the normal group， the FDM group showed a significant myopic shift in refraction （P<0.05） and a significant increase in axial length （P<0.05）. The retinal layers were thinner， the number of ganglion cells was reduced， and collagen fibers in the sclera were loosely arranged with evident gaps. Opn4 and DRD1 protein and mRNA expression in the retina were significantly decreased （P<0.05）， while CHOP and GRP78 protein and mRNA expression in both retinal and scleral tissues were significantly increased （P<0.05）. Compared with the FDM group， the ipRGCs group exhibited further increases in myopic refraction and axial length （P<0.05）， more pronounced thinning and looseness in the retinal， choroidal， and scleral layers， lower expression of Opn4 and DRD1 protein and mRNA in the retina （P<0.05）， and higher expression of CHOP and GRP78 protein and mRNA in the retina and sclera （P<0.05）. Compared with the FDM group， the MSF group showed significantly reduced refractive error and axial length （P<0.05）， with improved cellular number， arrangement， and thickness in ocular tissues， increased Opn4 and DRD1 protein and mRNA expression in the retina （P<0.05）， and reduced CHOP and GRP78 protein and mRNA expression in both retina and sclera （P<0.05）. Similarly， the ipRGCs + MSF group showed significant improvements in terms of the above items compared with the ipRGCs group （P<0.05）. ConclusionMingshi Prescription delays myopic axial elongation and refractive progression by regulating the Opn4-DA axis in the retina of myopic mice， thereby inhibiting ER stress in the retina and sclera. This intervention promotes Qi and blood nourishment of the eyes， softens the fascia， and restores ocular rhythm.

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.

The interaction between epithelial cells and macrophages plays a crucial role in the progression of lung diseases,including immune de-fense,inflammation regulation,tissue repair,and regeneration.However,an imbalance in this inter-action can contribute to the development of vari-ous lung diseases.In idiopathic pulmonary fibrosis,chronic obstructive pulmonary disease,and lung cancer,macrophages can promote disease progres-sion by secreting cytokines that act on epithelial cells.Simultaneously,activated epithelial cells re-lease cytokines to recruit and activate more macro-phages in a positive feedback loop.Thus,compre-hensive studies of the interactions between epithe-lial cells and macrophages in various lung diseases have the potential to identify new therapeutic tar-gets and develop innovative strategies for disease management.This review aims to summarize the current knowledge regarding the interaction be-tween epithelial cells and macrophages in idiopath-ic pulmonary fibrosis,chronic obstructive pulmo-nary disease,and lung cancer,with the goal of in-spiring new research directions for the treatment of lung diseases.

Objective:To investigate the diversity, temporal dynamics and influencing factors of serotypes of Salmonella among asymptomatic workers in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and provide reference for controlling the hidden transmission of Salmonella and for disease prevention among healthy populations. Methods:Anal rectal swabs were collected from asymptomatic workers in Yulin from 2013 to 2023 for the isolation and identification of Salmonella. The diversity of serotypes of Salmonella was evaluated by using Shannon index, while the isolation rates and composition ratio of different serotypes were compared with χ2 test. Spearman correlation analysis was used to evaluate the correlation of natural and social factors with serotype isolation rates for more than eight years, and stepwise multiple linear regression analysis were used to evaluate the impact of social factors on the serotype isolation rates for more than 8 years. Results:A total of 8 073 strains of Salmonella were isolated from 2013 to 2023, with an overall isolation rate of 18.88‰ During the 11-year period, 135 serotypes of Salmonella were identified, and the serotype diversity increased first and then decreased. The serotype with the highest isolation rate was Salmonella Typhimurium (3.04‰), followed by Salmonella Rissen (1.70‰), Salmonella Corvallis (1.41‰), Salmonella Agona (1.36‰), Salmonella Derby (1.22‰), and Salmonella London (1.02‰), accounting for 51.67% of the total Salmonella serotypes isolated. There was no significant trend in isolation rate of Salmonella over the years ( χ2=0.67, P=0.415); however, season significantly influenced the isolation rate, with lower rate being observed in winter and higher rate in summer ( χ2=615.91, P<0.001). The isolation rate of different serotypes of Salmonella was influenced by social and natural factors, showing a positive correlation with temperature, precipitation, and poultry consumption and production levels. Conclusions:The serotypes of Salmonella carried by asymptomatic workers were complex and diverse in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and the isolation rates of multi-serotypes increased from 2013 to 2023. Higher isolation rate was observed in summer and the isolation rate was widely influenced by natural factors such as temperature and precipitation, as well as social factors such as economic conditions. It is necessary to pay attention to the Salmonella serotype carriage in healthy population, and strengthen monitoring of both healthy individuals and pathogenic bacteria.

Objective:To compare the Kadish T staging, AJCC T staging, and Dulguerov T staging system in terms of their impact on surgical treatment selection and survival prognosis in patients with olfactory neuroblastoma (ONB).Methods:The cases of pathologically confirmed ONB from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2018 were collected and screened. Tumors were staged according to Kadish staging system, AJCC T staging and Dulguerov T staging guidelines. Kaplan-Meier analysis was used to calculate 5-and 10-year overall survival rates for different stages, and the log-rank test was used to detect statistically significant differences. Multivariate analysis was performed using Logistic regression and Cox regression models to explore factors influencing surgical treatment choices and prognosis in ONB patients.Results:A total of 519 ONB patients with complete data available for analysis were included in the study. Multivariate analysis revealed that tumor staging, age, and marital status were closely associated with surgical treatment selection. The 10-year survival rates for patients in stage A, B, and C were 74.1%, 68.7%, 55.0%, respectively. The multivariate analysis failed to show a significant prognostic gradient between adjacent stages in any of the three staging systems.Conclusions:The selection of surgical treatment for ONB is influenced by clinical characteristics such as tumor stage and age. The commonly used Kadish, AJCC T, and Dulguerov T staging systems do not significantly differentiate prognosis between adjacent stages, highlighting the need for the development of a more accurate and comprehensive staging system.

Objective:To investigate the diversity, temporal dynamics and influencing factors of serotypes of Salmonella among asymptomatic workers in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and provide reference for controlling the hidden transmission of Salmonella and for disease prevention among healthy populations. Methods:Anal rectal swabs were collected from asymptomatic workers in Yulin from 2013 to 2023 for the isolation and identification of Salmonella. The diversity of serotypes of Salmonella was evaluated by using Shannon index, while the isolation rates and composition ratio of different serotypes were compared with χ2 test. Spearman correlation analysis was used to evaluate the correlation of natural and social factors with serotype isolation rates for more than eight years, and stepwise multiple linear regression analysis were used to evaluate the impact of social factors on the serotype isolation rates for more than 8 years. Results:A total of 8 073 strains of Salmonella were isolated from 2013 to 2023, with an overall isolation rate of 18.88‰ During the 11-year period, 135 serotypes of Salmonella were identified, and the serotype diversity increased first and then decreased. The serotype with the highest isolation rate was Salmonella Typhimurium (3.04‰), followed by Salmonella Rissen (1.70‰), Salmonella Corvallis (1.41‰), Salmonella Agona (1.36‰), Salmonella Derby (1.22‰), and Salmonella London (1.02‰), accounting for 51.67% of the total Salmonella serotypes isolated. There was no significant trend in isolation rate of Salmonella over the years ( χ2=0.67, P=0.415); however, season significantly influenced the isolation rate, with lower rate being observed in winter and higher rate in summer ( χ2=615.91, P<0.001). The isolation rate of different serotypes of Salmonella was influenced by social and natural factors, showing a positive correlation with temperature, precipitation, and poultry consumption and production levels. Conclusions:The serotypes of Salmonella carried by asymptomatic workers were complex and diverse in Yulin, Guangxi Zhuang Autonomous Region, from 2013 to 2023, and the isolation rates of multi-serotypes increased from 2013 to 2023. Higher isolation rate was observed in summer and the isolation rate was widely influenced by natural factors such as temperature and precipitation, as well as social factors such as economic conditions. It is necessary to pay attention to the Salmonella serotype carriage in healthy population, and strengthen monitoring of both healthy individuals and pathogenic bacteria.

The interaction between epithelial cells and macrophages plays a crucial role in the progression of lung diseases,including immune de-fense,inflammation regulation,tissue repair,and regeneration.However,an imbalance in this inter-action can contribute to the development of vari-ous lung diseases.In idiopathic pulmonary fibrosis,chronic obstructive pulmonary disease,and lung cancer,macrophages can promote disease progres-sion by secreting cytokines that act on epithelial cells.Simultaneously,activated epithelial cells re-lease cytokines to recruit and activate more macro-phages in a positive feedback loop.Thus,compre-hensive studies of the interactions between epithe-lial cells and macrophages in various lung diseases have the potential to identify new therapeutic tar-gets and develop innovative strategies for disease management.This review aims to summarize the current knowledge regarding the interaction be-tween epithelial cells and macrophages in idiopath-ic pulmonary fibrosis,chronic obstructive pulmo-nary disease,and lung cancer,with the goal of in-spiring new research directions for the treatment of lung diseases.

Objective:To compare the Kadish T staging, AJCC T staging, and Dulguerov T staging system in terms of their impact on surgical treatment selection and survival prognosis in patients with olfactory neuroblastoma (ONB).Methods:The cases of pathologically confirmed ONB from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2018 were collected and screened. Tumors were staged according to Kadish staging system, AJCC T staging and Dulguerov T staging guidelines. Kaplan-Meier analysis was used to calculate 5-and 10-year overall survival rates for different stages, and the log-rank test was used to detect statistically significant differences. Multivariate analysis was performed using Logistic regression and Cox regression models to explore factors influencing surgical treatment choices and prognosis in ONB patients.Results:A total of 519 ONB patients with complete data available for analysis were included in the study. Multivariate analysis revealed that tumor staging, age, and marital status were closely associated with surgical treatment selection. The 10-year survival rates for patients in stage A, B, and C were 74.1%, 68.7%, 55.0%, respectively. The multivariate analysis failed to show a significant prognostic gradient between adjacent stages in any of the three staging systems.Conclusions:The selection of surgical treatment for ONB is influenced by clinical characteristics such as tumor stage and age. The commonly used Kadish, AJCC T, and Dulguerov T staging systems do not significantly differentiate prognosis between adjacent stages, highlighting the need for the development of a more accurate and comprehensive staging system.

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.

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.