Objective: To investigate the prevalence of depressive symptoms and their associated factors among students in Zhejiang Province, so as to provide evidence for targeted prevention strategies. Methods: A stratified cluster random sampling method was used to select 23 829 college students and primary and secondary school students aged 11-22 years in Zhejiang Province from December 2019 to February 2020. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Three machine learning algorithms, including Logistic regression, random forest, and eXtreme Gradient Boosting (XGBoost), were applied to construct predictive models, and key associated factors were identified by comparing model performance. Results: The detection rate of depressive symptoms among students in Zhejiang Province was 19.92%; the rates were 17.20% in boys and 22.87% in girls( χ 2=164.89, P <0.05). The CES-D total score was 9.00(4.00,13.00). Multiple Logistic regression analysis revealed that loneliness had the strongest association with depressive symptoms ( AOR =9.58, 95% CI =8.90-10.30), while bullying exposure ( AOR =4.39, 95% CI =4.02-4.80), female students( AOR =1.81, 95% CI =1.68-1.94)，never eating breakfast ( AOR = 2.34，95% CI =2.00-2.67) and overweight/obesity( AOR =1.10，95% CI =1.08-1.12) were significant associated factors of depressive symptoms among students (all P <0.05). Analysis based on the XGBoost model produced highly consistent results, identifying the above 5 factors as the core features with the highest correlation strength (all P <0.05). Conclusions Female, loneliness, bullying exposure, frequency of weekly breakfast and BMI are strongly associated with depressive symptoms among students. Mental health education for high risk groups should be strengthened, and coordinated prevention efforts between families and schools are recommended.

Intestinal fibrosis is a major complication of inflammatory bowel disease (IBD), leading to a high incidence of surgical interventions and significant disability. Despite its clinical relevance, no targeted pharmacological therapies are currently available. This review aims to explore the underlying mechanisms driving intestinal fibrosis and address unresolved scientific questions, offering insights into potential future therapeutic strategies. We conducted a literature review using data from PubMed up to October 2024, focusing on studies related to IBD and fibrosis. Intestinal fibrosis results from a complex network involving stromal cells, immune cells, epithelial cells, and the gut microbiota. Chronic inflammation, driven by factors such as dysbiosis, epithelial injury, and immune activation, leads to the production of cytokines like interleukin (IL)-1β, IL-17, and transforming growth factor (TGF)-β. These mediators activate various stromal cell populations, including fibroblasts, pericytes, and smooth muscle cells. The activated stromal cells secrete excessive extracellular matrix components, thereby promoting fibrosis. Additionally, stromal cells influence the immune microenvironment through cytokine production. Future research would focus on elucidating the temporal and spatial relationships between immune cell-driven inflammation and stromal cell-mediated fibrosis. Additionally, investigations are needed to clarify the differentiation origins of excessive extracellular matrix-producing cells, particularly fibroblast activation protein (FAP) + fibroblasts, in the context of intestinal fibrosis. In conclusion, aberrant stromal cell activation, triggered by upstream immune signals, is a key mechanism underlying intestinal fibrosis. Further investigations into immune-stromal cell interactions and stromal cell activation are essential for the development of therapeutic strategies to prevent, alleviate, and potentially reverse fibrosis.
Humans ; Fibrosis/metabolism* ; Inflammatory Bowel Diseases/pathology* ; Animals ; Transforming Growth Factor beta/metabolism* ; Intestines/pathology*

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ObjectiveTo investigate the association of particulate matter and ozone with the prevalence of non-alcoholic fatty liver disease (NAFLD) in a district of Shanghai, and to provide epidemiological evidence for the further identification of early health hazards of air pollution and for the prevention and control of NAFLD. MethodsBased on Songjiang Sub-cohort of Shanghai Natural Population Cohort, a cross-sectional survey design was used to recruit participants from 2016 to 2017. Annual average exposure levels to air pollution from 2009 to 2017 were matched to the participant’s residential address using a high-resolution and high-quality ambient air pollutants dataset in China. NAFLD was diagnosed according to the “Guidelines for the prevention and treatment of metabolism⁃associated (non⁃alcoholic) fatty liver disease” by the Chinese Medical Association. Multivariate logistic regression models were employed to analyze the association between air pollution and the prevalence of NAFLD, and stratified analyses were used to compare differences by age, gender, obesity, and lifestyle habits within subgroups. ResultsA total of 32 791 individuals were included in the study. The prevalence of NAFLD among community residents in suburban Shanghai was 38.88%. For every 1 μg·m^-3 increase in PM₁, PM_2.5, PM₁₀, or O₃, the risk of NAFLD increased correspongdinglt, with the odds ratios (95%CI) of 1.071 (1.043‒1.099), 1.065 (1.042‒1.089), 1.041 (1.027‒1.055), or 1.061 (1.032‒1.091), respectively. There were differences in effects across different gender, age, and obesity status subgroups. ConclusionPM₁, PM_2.5, PM₁₀, and O₃ are positively associated with an increased risk of NAFLD. Stratified analyses reveal that individuals aged 65 years old or above exhibited greater susceptibility to PM₁, PM_2.5, and O₃, whereas those aged less than 65 years old are more vulnerable to PM₁₀. Males are more sensitive to PM₁ and O₃, and females are more susceptible to PM_2.5 and PM₁₀. The association between air pollutant exposure and NAFLD risk is more pronounced among obese participants compared to that in non-obese counterparts.

Ceria nanoparticles(CeO2 NPs)have become popular materials in biomedical and industrial fields due to theirpotential applications in anti-oxidation,cancer therapy,photocatalytic degradation of pollutants,sensors,etc.Many methods,including gas phase,solid phase,liquid phase,and the newly proposed green synthesis method,have been reported for the synthesis of CeO2 NPs.Due to the wide application of CeO2 NPs,concerns about their adverse impacts on human health have been raised.This review covers recent studies on the biomedical applications of CeO2 NPs,including their use in the treatment of various diseases(e.g.,Alzheimer's disease,ischemic stroke,retinal damage,chronic inflammation,and cancer).CeO2 NP toxicity is discussed in terms of the different systems of the human body(e.g.,cytotoxicity,genotoxicity,respiratory toxicity,neurotoxicity,and hepatotoxicity).This comprehensive review covers both fundamental discoveries and exploratory progress in CeO2 NP research that may lead to practical developments in the future.

Objective:To explore the distribution characteristics and antibiotic resistance of pathogen in children with hematological disorders and cancers complicated with sepsis in pediatric intensive care unit (PICU).Methods:The clinical data of children with hematological disorders and cancers complicated with sepsis hospitalized at Shenzhen Children′s Hospital affiliated to China Medical University from January 2016 to August 2023 were retrospectively analyzed. Patients were divided into survival group and death group based on the outcome of sepsis on 28 days after diagnosis.Results:A total of 202 sepsis episodes occurred in 176 children were enrolled in this study. Among all, 144 (71.3%) cases of bloodstream infection, 59 (29.2%) cases of pulmonary infection, 21 (10.4%) cases of abdominal infection, 9 (4.5%) cases of soft tissue infection, 9 (4.5%) cases of nervous system infection, and 3 (1.5%) cases of urinary tract infection. A total of 244 pathogenic strains were identified, in which 74 (30.3%) cases were gram-positive bacteria. The top 3 pathogens isolated were Coagulase negative Staphylococcus (21 strains), Staphylococcus aureus (19 strains) and Streptococcus pneumoniae (13 strains). Gram-negative bacteria accounted for 122 (50.0%) strains, in which top 3 were Klebsiella pneumonia (33 strains), Escherichia coli (25 strains), and Pseudomonas aeruginosa (23 strains). Fungi comprised 48 (19.7%) strains:the top 3 were Candida tropicalis (14 strains), Candida albicans (10 strains), Aspergillus and Pneumocystis jirovecii (7 strains each). The incidence of Acinetobacter baumannii, Stenotrophomonas maltophilia, and Pseudomonas aeruginosa were significantly higher in death group compared to survival group[9.0%（6/67）vs. 2.3%（4/177）, χ2＝3.971 ，P＝0.046; 9.0%（6/67）vs. 1.1%（2/177）, χ2＝7.080 ，P＝0.008;16.4%（11/67）vs. 6.8%（12/177）, χ2＝5.288 ，P＝0.021]. The samples of 57 cases were simultaneously detected by both culture and metagenomic next-generation sequencing (mNGS). Pathogens were detected in 25 cases by both culture and mNGS. In 30 cases, pathogen detection were mNGS positive but culture negative. Two cases showed positive results only with culture. A total of 79 (46.8%) strains were multi-drug resistant bacteria, including 27 (34.2%) strains of gram-positive bacteria and 52 (65.8%) strains of gram-negative bacteria. A total of 174 (86.1%) children with sepsis received empirical anti-infective drugs within 24 hours of fever onset. A total of 124 (61.4%) cases were appropriately covered by the initial empirical antibiotics, while 40 (19.8%) cases were not adequately covered and 10 (5.0%) cases had incomplete coverage. Despite the inclusion of pathogenic in the coverage, resistance to initial antibiotics was observed in 22 (10.9%) cases. Fifty-one patients died. Conclusion:The predominant pathogens responsible for sepsis in PICU with hematological disorders and cancers is gram-negative bacteria, followed by gram-positive bacteria and fungi. In comparison to healthy children with sepsis, there is a higher incidence of fungal infections among hematological disorders and cancers. The proportion of multi-drug resistant bacteria infection is high. Early identification and combination of local etiological distribution and drug resistance, along with the empirical selection of appropriate anti-infection treatment strategies, can greatly enhance survival rate.

Objective:To analyze the bubble dynamic characteristics of shock wave enhanced emission photoacoustic streaming(SWEEPS)technique in free water region under different temporay delays.Methods:The Er∶YAG laser tip was activated in free water model with SWEEPS mode at 150-600 μs pulse delay.The bubble dynamic process during irrigation was recorded by a high-speed camera(200 000 Hz).Matlab was used to analyze the interaction between bubble made by the dual pulses frame by frame.The distance between bubble remnants and laser tip was measured before the bubble disappeared.The experimental data were statisti-cally analyzed by SPSS 19.0.Results:In free water region,different temporal delays caused different interaction between the bub-bles activated by the SWEEPS technique with a dual pulse modality.The interactions include bubble fusion,bubble collision and bubble separation.When the temporal delay between 360-440 μs,bubble collision was the most violent,and the farthest distance between bubble remnants and laser tip was reached.Conclusion:In free water region,the dual pulse of SWEEPS technique can lead to bubble interaction which may enhance the cavitation effect of Er∶YAG laser irrigation,and improve the debridement in clinic ap-plication.

Objective To investigate the expression and clinical significance of microRNA-148a-3p (miR-148a-3p) in lung adenocarcinoma and analyze the effect and mechanism of miR-148a-3p on radiotherapy sensitivity of lung adenocarcinoma cells by targeting the protein core 1β13-galactosyltransferase 1(C1GALT1). Methods Seventy-six patients' tumor tissues from lung adenocarcinoma tissue microarrays and lung adenocarcinoma A549 cell line were selected for the study. The miR-148a-3p in situ hybridizations (ISH) and C1GALT1 immunohistochemical staining were performed on the tissue microarrays to analyze the correlations of miR-148a-3p expression with clinical pathology, prognosis and C1GALT1 expression in the tumor tissues of the 76 patients with lung adenocarcinoma. A549 cells were transfected with miR-148a-3p overexpression plasmid by using cell transfection technique; the clone formation assay was used to detect the sensitivity of the transfected cells for radiotherapy after receiving 2 Gy radiotherapy; the protein expression level of cellular C1GALT1 was detected by western blot; the targeted regulatory relationship between miR-148a-3p and C1GALT1 was verified by dual-luciferase reporter gene experiment; the mechanism of miR-148a-3p regulating the sensitivity of A549 cells to radiotherapy was analyzed by co-transfection technique. Results Low expression of miR-148a-3p in 76 cases of lung adenocarcinoma tissues was significantly associated with lymph node metastasis (P=0.012); the prognosis of patients with high expression of miR-148a-3p was significantly better than that of patients with low expression of miR-148a-3p (P=0.005); there was a significant negative correlation between the expression of miR-148a-3p and C1GALT1 in lung adenocarcinoma tissues (P=0.023). Multivariate analysis showed that low expression of miR-148a-3p, T staging and lymph node metastasis were the independent risk factors for prognosis. Clone formation experiment showed that the number of clone formation in the miR-148a-3p overexpression group was significantly lower than that in the control group (P < 0.001); western blot result showed that overexpression of miR-148a-3p was able to significantly down-regulate the level of C1GALT1 protein in cells (P < 0.001). Dual luciferase reporter gene experiment showed that miR-148a-3p was able to regulate the expression of C1GALT1 by binding to the 3'UTR of C1GALT1. Functional rescue experiment showed that C1GALT1 could partially offset the radiosensitization effect of miR-148a-3p. Conclusion Low expression of miR-148a-3p in lung adenocarcinoma is significantly associated with lymph node metastasis, high expression of C1GALT1 and poor prognosis, and miR-148a-3p can enhance the radiosensitivity of lung adenocarcinoma cells by negatively regulating the expression of C1GALT1.

Objective To investigate the effects of microgravity environment on hibernating myoblasts.Methods Hibernating myoblasts were cultured under real and simulated microgravity conditions for 10 days.RNA-seq analysis and immunofluorescence are used to analysis the impact of microgravity environment on cell growth and gene expression of myoblasts.Results Under the microgravity conditions,genes associated with proliferation were upregulated.Under simulated microgravity,there were more and higher proportion of Ki67 positive cells compared to normal gravity conditions.Conclusion The microgravity environment promotes the proliferation of hibernating myoblasts.

Purpose: This study aimed to identify the risk factors and sonographic variables that could be integrated into a predictive model for endometrial cancer (EC) and atypical endometrial hyperplasia (AEH) in women with abnormal uterine bleeding (AUB). Materials and Methods: This retrospective study included 1837 patients who presented with AUB and underwent endometrial sampling. Multivariable logistic regression was developed based on clinical and sonographic covariates [endometrial thickness (ET), resistance index (RI) of the endometrial vasculature] assessed for their association with EC/AEH in the development group (n=1369), and a predictive nomogram was proposed. The model was validated in 468 patients. Results: Histological examination revealed 167 patients (12.2%) with EC or AEH in the development group. Using multivariable logistic regression, the following variables were incorporated in the prediction of endometrial malignancy: metabolic diseases [odds ratio (OR)=7.764, 95% confidence intervals (CI) 5.042–11.955], family history (OR=3.555, 95% CI 1.055–11.971), age ≥40 years (OR=3.195, 95% CI 1.878–5.435), RI ≤0.5 (OR=8.733, 95% CI 4.311–17.692), and ET ≥10 mm (OR=8.479, 95% CI 5.440–13.216). :A nomogram was created using these five variables with an area under the curve of 0.837 (95% CI 0.800–0.874). The calibration curve showed good agreement between the observed and predicted occurrences. For the validation group, the model provided acceptable discrimination and calibration. Conclusion The proposed nomogram model showed moderate prediction accuracy in the differentiation between benign and malignant endometrial lesions among women with AUB.