Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

Objective:To investigate the effects of insulin-like growth factor 2 (IGF-2) on the expression of postsynaptic density protein 95 (PSD95), synaptophysin-1 (SYN1), and synaptophysin (SYP) in the mouse visual cortex and visual function after monocular deprivation (MD).Methods:Sixty-four SPF male Kunming mice aged 3 weeks were randomly divided into 4 groups: normal control group, MD group, MD+ IGF-2 recombinant protein (MD+ IGF-2) group, and MD+ fluoxetine (FLX) group, with 16 mice in each group.The MD group, MD+ IGF-2 group and MD+ FLX group were treated with right eyelid suturing at the beginning of 3 weeks old and eyelid opening at the end of 5 weeks old.The MD+ IGF-2 group was intraperitoneally injected with IGF-2 recombinant protein during MD.The MD+ FLX group was given fluoxetine via drinking water for 4 weeks after eyelid opening.The normal control group and MD group were injected intraperitoneally with bovine serum albumin every day from 3 to 5 weeks of age.At the end of 5 and 9 weeks of age, subjective visual function was evaluated by fore paw touching ground reflex experiment.At the end of 9 weeks of age, objective visual function was assessed by flash visual evoked potentials.After the mice were sacrificed, the left visual cortex of mice in each group was taken, and the expression of PSD95, SYN1, and SYP was assessed by Western blot.This study was approved by the Ethics Committee of Hunan Children's Hospital (No.HCHDWLL-2022-16). The handling of experimental animals was carried out in accordance with the Guidelines for the Management and Use of Laboratory Animals in Hunan Children's Hospital.Results:At the end of 5 and 9 weeks of age, there were overall significant differences in the success rate of fore paw touching ground among different groups of mice ( F=4.83, 3.36; both P<0.05). At the end of 5 weeks of age, the success rate was lower in MD group and MD+ FLX group than in normal control group, and significantly higher in MD+ IGF-2 group than in MD group, with statistically significant differences (all P<0.05). At the end of 9 weeks of age, the success rate was lower in MD group than in normal control group, and significantly higher in MD+ IGF-2 group and MD+ FLX group than in MD group (all P<0.05). There was a significant overall difference in P2 wave amplitude in F-VEP examination among different groups of mice ( F=13.99, P<0.01). The P2 wave amplitude was significantly lower in MD group than in normal control group and MD+ IGF-2 group (both P<0.01). There was no significant difference in the P2 wave latency of F-VEP among the four groups of mice ( F=2.83, P=0.07). The relative expression levels of PSD95, SYN1 and SYP proteins were 1.00±0.41, 1.00±0.10 and 1.00±0.27 in normal control group, 0.32±0.27, 0.68±0.20 and 0.56±0.28 in MD group, 0.78±0.32, 0.91±0.18 and 0.94±0.22 in MD+ IGF-2 group, 0.89±0.65, 0.98±0.28 and 0.94±0.47 in MD+ FLX group, respectively.There were significant differences in levels of PSD95, SYN1 and SYP in mice visual cortex among different groups ( F=4.24, 5.32, 3.40; all P<0.05). The expressions of PSD95, SYN1 and SYP proteins in the visual cortex were lower in MD group than in normal control group, and higher in MD+ IGF-2 group than in MD group (all P<0.05). Conclusions:Administration of exogenous IGF-2 to mice that underwent MD during the critical period can maintain visual cortex plasticity and protect the visual function to a certain extent.

Objective:To investigate the effects of insulin-like growth factor 2 (IGF-2) on the expression of postsynaptic density protein 95 (PSD95), synaptophysin-1 (SYN1), and synaptophysin (SYP) in the mouse visual cortex and visual function after monocular deprivation (MD).Methods:Sixty-four SPF male Kunming mice aged 3 weeks were randomly divided into 4 groups: normal control group, MD group, MD+ IGF-2 recombinant protein (MD+ IGF-2) group, and MD+ fluoxetine (FLX) group, with 16 mice in each group.The MD group, MD+ IGF-2 group and MD+ FLX group were treated with right eyelid suturing at the beginning of 3 weeks old and eyelid opening at the end of 5 weeks old.The MD+ IGF-2 group was intraperitoneally injected with IGF-2 recombinant protein during MD.The MD+ FLX group was given fluoxetine via drinking water for 4 weeks after eyelid opening.The normal control group and MD group were injected intraperitoneally with bovine serum albumin every day from 3 to 5 weeks of age.At the end of 5 and 9 weeks of age, subjective visual function was evaluated by fore paw touching ground reflex experiment.At the end of 9 weeks of age, objective visual function was assessed by flash visual evoked potentials.After the mice were sacrificed, the left visual cortex of mice in each group was taken, and the expression of PSD95, SYN1, and SYP was assessed by Western blot.This study was approved by the Ethics Committee of Hunan Children's Hospital (No.HCHDWLL-2022-16). The handling of experimental animals was carried out in accordance with the Guidelines for the Management and Use of Laboratory Animals in Hunan Children's Hospital.Results:At the end of 5 and 9 weeks of age, there were overall significant differences in the success rate of fore paw touching ground among different groups of mice ( F=4.83, 3.36; both P<0.05). At the end of 5 weeks of age, the success rate was lower in MD group and MD+ FLX group than in normal control group, and significantly higher in MD+ IGF-2 group than in MD group, with statistically significant differences (all P<0.05). At the end of 9 weeks of age, the success rate was lower in MD group than in normal control group, and significantly higher in MD+ IGF-2 group and MD+ FLX group than in MD group (all P<0.05). There was a significant overall difference in P2 wave amplitude in F-VEP examination among different groups of mice ( F=13.99, P<0.01). The P2 wave amplitude was significantly lower in MD group than in normal control group and MD+ IGF-2 group (both P<0.01). There was no significant difference in the P2 wave latency of F-VEP among the four groups of mice ( F=2.83, P=0.07). The relative expression levels of PSD95, SYN1 and SYP proteins were 1.00±0.41, 1.00±0.10 and 1.00±0.27 in normal control group, 0.32±0.27, 0.68±0.20 and 0.56±0.28 in MD group, 0.78±0.32, 0.91±0.18 and 0.94±0.22 in MD+ IGF-2 group, 0.89±0.65, 0.98±0.28 and 0.94±0.47 in MD+ FLX group, respectively.There were significant differences in levels of PSD95, SYN1 and SYP in mice visual cortex among different groups ( F=4.24, 5.32, 3.40; all P<0.05). The expressions of PSD95, SYN1 and SYP proteins in the visual cortex were lower in MD group than in normal control group, and higher in MD+ IGF-2 group than in MD group (all P<0.05). Conclusions:Administration of exogenous IGF-2 to mice that underwent MD during the critical period can maintain visual cortex plasticity and protect the visual function to a certain extent.

Objective To investigate the effects of composite nanoparticles E/Ce@MCSNs loaded with epigallocatechin-3-gallate(EGCG)and cerium dioxide(CeO2)on the odonto/osteogenic differentiation of human stem cells from the apical papilla(SCAPs)and macrophage polarization under inflammatory conditions.Methods E/Ce@MCSNs were synthesized and characterized.Cell viabil-ity of SCAPs and RAW 264.7 cells treated with varying concentrations of E/Ce@MCSNs was assessed via CCK-8 assay.The antioxidant enzyme-mimetic activity of E/Ce@MCSNs was evaluated.Under simulated inflammatory conditions,intracellular reactive oxygen species(ROS)scavenging capacity was measured via DCFH-DA fluorescent probe.Alkaline phosphatase(ALP)staining/activity,alizarin red staining/semi-quantitative analysis,and RT-qPCR were performed to detect odonto/osteogenic differentiation markers,in-cluding dentin sialoprotein(DSPP),ALP,runt-related transcription factor 2(Runx-2),type Ⅰ collagen(COL-Ⅰ),and osteopontin(OPN)in SCAPs.The effects of E/Ce@MCSNs on the odontogenic/osteogenic differentiation of SCAPs under this condition were eval-uated.RT-qPCR were used to analyze cytokine expression(TNF-α,IL-1β,IL-6,iNOS,TGF-β,IL-10)and secreted TNF-α/IL-6 levels in RAW264.7 cells.The concentrations of TNF-α and IL-6 in cell cul-ture supernatants were measured by ELISA.Results E/Ce@MCSNs exhibited excellent biocompatibility at concentrations≤100 μg/mL.They demonstrated potent ROS-scavenging activity(P＜0.05)and sig-nificantly enhanced ALP activity(P＜0.001),promoted calcium nodule formation(P＜0.001),and upregulated odonto/osteogenic gene expression(DSPP,ALP,Runx-2,COL-Ⅰ,OPN)in SCAPs under inflammatory conditions(P＜0.05).In RAW264.7 cells,E/Ce@MCSNs downregulated pro-inflammatory cytokines(TNF-α,IL-1 β,IL-6,iNOS)(P＜0.01)and upregulated anti-inflammatory factors(TGF-β,IL-10)(P＜0.001),while reducing TNF-α and IL-6 secretion(P＜0.001).Conclusion E/Ce@MCSNs exert antioxidant and anti-inflammatory effects in apical periodontitis by scavenging excessive ROS,thereby promoting odonto/osteogenic differentiation of SCAPs.

ObjectiveTo improve the quality and service performance of community visual health services in Shanghai, and to establish a set of reasonable and effective evaluation index system for community visual health services. MethodsCentered on the national and Shanghai-based visual health policies and based on the current status and development trends of community visual health service program in Shanghai, the candidate indicators were formed through literature review and expert interviews, firstly. The framework of an evaluation index system was formulated through qualitative research successively, which was further revised and perfected using the Delphi method. Coefficient weights were calculated using the analytic hierarchy process (AHP), culminating in the establishment of the community visual health evaluation index system, lastly. ResultsA total of 22 visual health experts from district-level center for disease control, hospital ophthalmology and leaders in charging of visual health service in community health centers participated in the Delphi questionnaire survey, with a questionnaire recovery rate of 100% and an expert authority coefficient of 0.86, indicating high credibility. After a round of correspondence to experts’ importance ratings and discussions, a comprehensive evaluation index system comprising 3 primary indicators, 12 secondary indicators, and 47 tertiary indicators, along with 5 additional indicators, was finalized. ConclusionAn index system tailored to effective evaluation for community visual health initiatives was drawn up in this study, which can promote the capacity building in community eye health services, facilitating the high-quality development of visual health courses, and enhancing residents’ eye health.

Objective To map the super-enhancers remodeling of intestinal gastric cancer and reveal the tumor biological functions of the super-enhancers and the downstream target genes that may be activated.Methods A total of 31 normal gastric mucosal tissues,23 intestinal gastric cancer tissues and 9 intestinal gastric cancer organoids were collected from the Department of Gastroenterology of Army Medical Center of PLA from January to December 2022.Chromatin targeting histone H3K27ac modified chromatin targeting cleavage under targets and tagmentation(CUT&Tag)sequencing was conducted on above tissues.The remodeling profiles of super-enhancers in intestinal gastric cancer were analyzed and the key target genes were identified based on bioinformation tools.CRISPRi technology was used to intervene with the super-enhancers,the expression of target genes was detected with Western blotting,and the proliferation,migration and invasion abilities were detected by CCK-8 assay and Transwell chambers in the control group and the intervention group.Results There was a significant difference in the signal of super-enhancers between intestinal gastric cancer tissues and normal gastric mucosal tissues(P<0.05),and the active super-enhancers in cancer tissues may be involved in biological processes such as negative regulation of the immune system and cell adhesion.The expression of up-regulated cell migration-inducing protein(CEMIP)in tumor cells was regulated by the super-enhancers,and intervening the super-enhancers down-regulated the expression of CEMIP(P<0.05),and inhibited the cell proliferation,invasion and migration abilities of tumor cells(P<0.05).Conclusion Super-enhancer remodeling is observed in intestinal gastric cancer,and they can up-regulate the expression of CEMIP gene and promote the growth,migration and invasion of cancer cells.

Objective To identify the enhancer profile marked by histone H3K27ac modification in high-grade intraepithelial neoplasia(HGIN)in order to reveal the novel regulatory mechanism of HGIN pathogensis.Methods Gastric tissue samples were collected from Department of Gastroenterology of Army Medical Center of PLA between June 2022 and June 2023,including 14 normal gastric tissues(Nor group),31 HGIN tissues(HGIN group)and 17 gastric cancer tissues(GC group).Cleavage under targets and tagmentation(CUT&Tag)technique was employed to capture enhancer regions modified by histone H3K27ac.Multi-omics analysis was performed to identify HGIN-specific active enhancers and their potentially regulated genes.Immunohistochemical profiling was performed to assess differential expression of the gene of interest across clinically stratified specimens,combined with CRISPR-dCas9-mediated ablation of active enhancers to monitor the gene of interest transcriptional dynamics and validate enhancer-mediated regulatory mechanisms.Results Epigenomic sequencing obtained the data with excellent quality,and indicated that obvious remodeling was observed in H3K27ac enhancers in HGIN and GC groups(P<0.05),though no significant difference in the genome-wide distribution of H3K27ac modification among the 3 groups.Combining transcriptome data revealed that enhancer remodeling may up-regulate the expression of the proliferation-related target gene,CD24,in the HGIN tissue;while,inhibiting enhancer activity can notably reduce CD24 expression level(P<0.05).Immunohistochemical assay displayed a positive correlation between the expression levels of CD24 and Ki-67(P<0.001).Conclusion The remodeling of H3K27ac enhancer represents a significant epigenetic feature of the transformation from normal condition to HGIN.Remodeling of H3K27ac enhancer up-regulates CD24,which may facilitate the abnormal proliferation of gastric epithelial cells.

Objective To analyze clinical characteristics of mesenchymal-subtype gastric cancer(Mes-GC)by integrating multi-omics data and explore the characteristics of tumor cells and microenvironment associated with the risk for recurrence.Methods Gastric tumor tissue samples were collected from the patients who visited Department of Gastroenterology of Army Medical Center of PLA from January 2022 to December 2023.Transcriptome and genome sequencing were applied for these tissue samples,including 19 cases of diffuse-type gastric cancer,22 cases of intestinal-type gastric cancer,and 23 cases of mixed-type gastric cancer patients.Bioinformatics analysis was employed to investigate the differences in clinical characteristics and tumor microenvironment between Mes-GC and non-mesenchymal-subtype gastric cancer(non-Mes-GC)by integrating data resources including The Cancer Genome Atlas(TCGA),Gene Expression Omnibus(GEO),and National Genomics Data Center(NGDC).Results Compared to non-Mes-GC patients,Mes-GC ones were characterized by later clinical stages,deeper tumor infiltration,and higher rates of lymph node metastasis.Kaplan-Meier survival analysis confirmed that Mes-GC patients were associated with shorter survival time,poor prognosis as well as increased risk of cancer recurrence(P<0.05).Single-cell RNA sequencing data revealed that tumor cells in Mes-GC showed higher expression levels of the genes related to stemness,metastasis(P<0.05),and epithelial-mesenchymal transition(EMT).And in the tumor microenvironment,there were significant more myeloid cells,smooth muscle cells,endothelial cells and fibroblasts,with the most pronounced elevation in the proportion of fibroblasts(P<0.05).Moreover,the patients with larger proportion of fibroblasts were associated with poorer prognosis.Conclusion Mes-GC tumor cells exhibit higher stemness and EMT characteristics,and stromal cells such as myeloid cells,endothelial cells,and fibroblasts are enriched in the tumor microenvironment.These features may be key factors contributing to poor prognosis and high recurrence rate of Mes-GC.

Objective To investigate the effects of composite nanoparticles E/Ce@MCSNs loaded with epigallocatechin-3-gallate(EGCG)and cerium dioxide(CeO2)on the odonto/osteogenic differentiation of human stem cells from the apical papilla(SCAPs)and macrophage polarization under inflammatory conditions.Methods E/Ce@MCSNs were synthesized and characterized.Cell viabil-ity of SCAPs and RAW 264.7 cells treated with varying concentrations of E/Ce@MCSNs was assessed via CCK-8 assay.The antioxidant enzyme-mimetic activity of E/Ce@MCSNs was evaluated.Under simulated inflammatory conditions,intracellular reactive oxygen species(ROS)scavenging capacity was measured via DCFH-DA fluorescent probe.Alkaline phosphatase(ALP)staining/activity,alizarin red staining/semi-quantitative analysis,and RT-qPCR were performed to detect odonto/osteogenic differentiation markers,in-cluding dentin sialoprotein(DSPP),ALP,runt-related transcription factor 2(Runx-2),type Ⅰ collagen(COL-Ⅰ),and osteopontin(OPN)in SCAPs.The effects of E/Ce@MCSNs on the odontogenic/osteogenic differentiation of SCAPs under this condition were eval-uated.RT-qPCR were used to analyze cytokine expression(TNF-α,IL-1β,IL-6,iNOS,TGF-β,IL-10)and secreted TNF-α/IL-6 levels in RAW264.7 cells.The concentrations of TNF-α and IL-6 in cell cul-ture supernatants were measured by ELISA.Results E/Ce@MCSNs exhibited excellent biocompatibility at concentrations≤100 μg/mL.They demonstrated potent ROS-scavenging activity(P＜0.05)and sig-nificantly enhanced ALP activity(P＜0.001),promoted calcium nodule formation(P＜0.001),and upregulated odonto/osteogenic gene expression(DSPP,ALP,Runx-2,COL-Ⅰ,OPN)in SCAPs under inflammatory conditions(P＜0.05).In RAW264.7 cells,E/Ce@MCSNs downregulated pro-inflammatory cytokines(TNF-α,IL-1 β,IL-6,iNOS)(P＜0.01)and upregulated anti-inflammatory factors(TGF-β,IL-10)(P＜0.001),while reducing TNF-α and IL-6 secretion(P＜0.001).Conclusion E/Ce@MCSNs exert antioxidant and anti-inflammatory effects in apical periodontitis by scavenging excessive ROS,thereby promoting odonto/osteogenic differentiation of SCAPs.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.