Objective:To analyze the multimorbidity trends and influencing factors of internet addiction and depressive symptoms among middle school students in Zhejiang Province.Methods:From 2018 to 2023, a multistage stratified random cluster sampling method was used to select middle school students aged 12 to 18 in Zhejiang Province. Internet addiction and depression status were measured by the Internet Addiction Scale and the Center for Epidemiologic Studies Depression Scale. When both symptoms were present, it was defined as multimorbidity.The multivariate logistic regression model was used to analyze the influencing factors of multimorbidity among middle school students, and a trend Chi-square test was used to analyze the changing trends of internet addiction, depression and multimorbidity prevalence. Results:A total of 193 505 students were included in the study. From 2018 to 2023, the prevalence of multimorbidity of internet addiction and depressive symptoms among middle school students ranged from 2.7% to 3.5%. The prevalence of internet addiction ranged from 4.7% to 6.0%, while the prevalence of depressive symptoms ranged from 18.7% to 25.1%. Multivariate logistic regression showed that boarding students ( OR=1.34 , 95% CI: 1.26-1.42), low-frequency ( OR=1.59, 95% CI: 1.46-1.73), and high-frequency sugary drink consumption ( OR=3.91, 95% CI: 3.55-4.31) increased the risk of multimorbidity among middle school students. In contrast, higher frequencies of moderate-to-high-intensity exercise (medium: OR=0.54, 95% CI: 0.50-0.58; high: OR=0.49, 95% CI: 0.44-0.55) and sufficient sleep ( OR=0.52, 95% CI: 0.49-0.56) were protective factors. From 2018 to 2023, there was no significant change in the trend of multimorbidity prevalence among middle school students ( χ2trend=3.82, P=0.051). The prevalence of internet addiction showed an upward trend ( χ2trend=20.54, P<0.001), while depressive symptoms showed a downward trend ( χ2trend=181.41, P<0.001). Conclusion:The prevalence of internet addiction and depression symptoms among middle school students in Zhejiang Province remains stable from 2018 to 2023. The prevalence of internet addiction shows an upward trend, while the prevalence of depression symptoms shows a downward trend. The risk of multimorbidity is related to students′ boarding, consumption of sugary drinks, lack of exercise, and insufficient sleep.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.

AIM:To investigate the mechanism by which muscle segment homeobox 2(Msx2)regulates the differentiation of outer enamel epithelial cells in the enamel organ.METHODS:Tissue paraffin sections were prepared and subjected to hematoxylin-eosin(HE)staining to analyze the effect of Msx2 deficiency on the differentiation status of epithelial cells in the enamel organ at the morphological level.At the ultrastructural level,alterations in cell structure were analyzed.The intermediate steps mediating cell differentiation were identified.Transcriptome sequencing analysis was performed to validate the molecular mechanisms underlying the observed phenomena.RESULTS:Msx2 deficiency was innovatively found to induce severe squamous epithelial hyperplasia in outer enamel epithelial cells of enamel organ,accompanied by dynamic restructuring of the cell cytoskeleton and alterations in cell adhesion at the ultrastructure level.As a transcriptional repressor,the loss of Msx2 expression results in significant increases(P＜0.05 or P＜0.01)in the mRNA expression levels of integrin β2(Itgβ2),ItgαM,Itgα4,Rac family small GTPase 2(Rac2),Rac/Cdc42 guanine nucleo-tide exchange factor 6(Arhgef6)and protein tyrosine phosphatase receptor type C(Ptprc).CONCLUSION:Msx2 regu-lates cytoskeleton structure and cell-cell interaction through the Rho GTPases signaling pathway,thereby influencing the differentiation state of outer enamel epithelial cells.This study reveals the mechanism through which Msx2 regulates the differentiation of outer enamel epithelial cells,providing a theoretical foundation for the prevention and treatment of enam-el-related clinical dental diseases.

Objective:To investigate the effects of ginsenoside Compound K (CK) on proliferation, apoptosis, and autophagy in gastric cancer cells, and to further explore whether it exerts its effects by regulating the AMPK/mTOR signaling pathway.Methods:Human gastric cancer AGS cells were cultured in vitro to the logarithmic growth phase and randomly divided into control group (treated with 0.9% sodium chloride solution), ginsenoside CK group (treated with 50 μM CK) and ginsenoside CK+ Dorsomorphin group (treated with 50 μM CK combined with 10 μM Dorsomorphin). AGS cells were treated with ginsenoside CK at concentrations of 0, 5, 10, 20, 50, 100, and 200 μM, and cell viability was measured by the CCK-8 assay to determine the optimal concentration (50 μM). After treatment according to the above groups, cell viability was assessed by the CCK-8 assay; colony formation was evaluated by the plate clone formation assay; apoptosis was detected by the Tunel assay; autophagy was assessed by MDC fluorescence staining; and the expression levels and phosphorylation status of autophagy-related proteins (Beclin-1, LC3-Ⅱ), apoptosis-related proteins (Caspase-3, Bax, Bcl-2), and AMPK/mTOR signaling pathway-related proteins were analyzed by Western Blot. Statistical analysis of the data was performed using GraphPad Prism 9.1.2 software.Results:Compared with the control group, the apoptosis rate, autophagy degree and the expression levels of Beclin-1, LC3-Ⅱ, caspase-3, Bax and p-AMPK proteins were significantly increased in the ginsenoside CK group ( P<0.05), while the cell viability, clone formation rate, and the expression levels of Bcl-2 and p-mTOR proteins were decreased ( P<0.05). After the addition of AMPK pathway inhibitor Dorsomorphin based on 50 μM ginsenoside CK treatment, the apoptosis rate, the degree of autophagy, and the expression levels of Beclin-1, LC3-Ⅱ caspase-3, Bax, and p-AMPK proteins showed a decreasing tendency ( P<0.05). In contrast, the cell viability, the clone formation rate, and the expression levels of Bcl-2 and p -mTOR protein expression levels showed a certain rebound trend ( P<0.05). The anti-tumor effect of ginsenoside CK was reversed by the combined intervention of ginsenoside CK and dorsomorphin in AGS cells. Conclusion:Ginsenoside CK suppresses gastric cancer cell proliferation while enhancing apoptosis and autophagy through modulation of the AMPK/mTOR signaling pathway, offering a promising novel approach for gastric cancer therapy.

Objective:To analyze the multimorbidity trends and influencing factors of internet addiction and depressive symptoms among middle school students in Zhejiang Province.Methods:From 2018 to 2023, a multistage stratified random cluster sampling method was used to select middle school students aged 12 to 18 in Zhejiang Province. Internet addiction and depression status were measured by the Internet Addiction Scale and the Center for Epidemiologic Studies Depression Scale. When both symptoms were present, it was defined as multimorbidity.The multivariate logistic regression model was used to analyze the influencing factors of multimorbidity among middle school students, and a trend Chi-square test was used to analyze the changing trends of internet addiction, depression and multimorbidity prevalence. Results:A total of 193 505 students were included in the study. From 2018 to 2023, the prevalence of multimorbidity of internet addiction and depressive symptoms among middle school students ranged from 2.7% to 3.5%. The prevalence of internet addiction ranged from 4.7% to 6.0%, while the prevalence of depressive symptoms ranged from 18.7% to 25.1%. Multivariate logistic regression showed that boarding students ( OR=1.34 , 95% CI: 1.26-1.42), low-frequency ( OR=1.59, 95% CI: 1.46-1.73), and high-frequency sugary drink consumption ( OR=3.91, 95% CI: 3.55-4.31) increased the risk of multimorbidity among middle school students. In contrast, higher frequencies of moderate-to-high-intensity exercise (medium: OR=0.54, 95% CI: 0.50-0.58; high: OR=0.49, 95% CI: 0.44-0.55) and sufficient sleep ( OR=0.52, 95% CI: 0.49-0.56) were protective factors. From 2018 to 2023, there was no significant change in the trend of multimorbidity prevalence among middle school students ( χ2trend=3.82, P=0.051). The prevalence of internet addiction showed an upward trend ( χ2trend=20.54, P<0.001), while depressive symptoms showed a downward trend ( χ2trend=181.41, P<0.001). Conclusion:The prevalence of internet addiction and depression symptoms among middle school students in Zhejiang Province remains stable from 2018 to 2023. The prevalence of internet addiction shows an upward trend, while the prevalence of depression symptoms shows a downward trend. The risk of multimorbidity is related to students′ boarding, consumption of sugary drinks, lack of exercise, and insufficient sleep.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.

Objective: To investigate the situation and influencing factors of school bullying experienced by primary and middle school students, so as to provide the basis for formulating school bullying intervention measures and promoting students' physical and mental health development. Methods: All the counties (cities, districts) in Zhejiang Province were stratified to urban and suburban areas, primary, junior high and senior high school students were selected using a stratified cluster sampling method. Basic information, lifestyle and school bullying were collected through questionnaire surveys. Factors affecting school bullying experienced by primary and middle school students were analyzed using a multivariable logistic regression model. Results: Totally 137 846 valid questionnaires were recovered, with an effective recovery rate of 97.17%. There were 72 526 males (52.61%) and 65 320 females (47.39%). There were 47 561 primary school students (34.50%), 47 701 junior high school students (34.61%) and 42 584 senior high school students (30.89%). A total of 3 987 students suffered from school bullying, accounting for 2.89%. The proportions of being maliciously teased, being intentionally excluded from group activities/isolated, being teased about physical defects or appearance, being hit/kicked/pushed/shoved/locked in a room, being threatened, and being extorted for money were 2.04%, 1.18%, 1.11%, 0.86%, 0.84% and 0.83%, respectively. Multivariable logistic regression analysis showed that the students who were males (OR=1.122, 95%CI: 1.048-1.202), lived in suburban areas (OR=1.322, 95%CI: 1.233-1.418), lived in areas with medium (OR=1.086, 95%CI: 1.006-1.173) or underdeveloped (OR=1.298, 95%CI: 1.191-1.415) economic level, had higher academic levels (junior high school, OR=1.380, 95%CI: 1.270-1.499; senior high school, OR=1.210, 95%CI: 1.083-1.351), lived on campus (OR=1.489, 95%CI: 1.372-1.616), engaged in fights (OR=6.029, 95%CI: 5.585-6.509), attempted to smoke (OR=1.320, 95%CI: 1.128-1.545), drank (OR=1.735, 95%CI: 1.575-1.912), were scolded and beaten by parents (OR=1.972, 95%CI: 1.822-2.135) and were obese (OR=1.240, 95%CI: 1.132-1.360) were more likely to experience school bullying. Conclusion The harm of school bullying to the physical and mental health of primary and middle school students should be taken seriously, and active policy measures should be adopted to strengthen intervention.

OBJECTIVES: To evaluate the therapeutic effect of gastrodin against hypoxic-ischemic brain damage (HIBD) in neonatal mice and explore the role of GPX4/SLC7A11/FTH1 signaling in mediating its effect. METHODS: Twenty-four 9- to 11-day-old C57BL/6J mice were randomized equally into 4 groups for sham operation, HIBD modeling by right common carotid artery ligation and subsequent exposure to hypoxia for 1 h, or gastrodin treatment at 100 or 200 mg/kg before and at 1 and 2 days after modeling. The mice then underwent neurological assessment (Zea-Longa scores), and the cerebral cortical penumbra tissue were collected for HE and Nissl staining, detection of ferroptosis biomarkers and protein expressions of GPX4, SLC7A11, and FTH1 with Western blotting and immunofluorescence co-localization, and observation of mitochondrial ultrastructure with electron microscopy. In cultured HT22 neuronal cells with oxygen-glucose deprivation (OGD) for 2 h, the effects of pretreatments with 0.5 mmol/L gastrodin, 10 μmol/L RSL3 (a GPX4 inhibitor), alone or in combination, were analyzed on expressions of ferroptosis-related proteins, cellular Fe²⁺, ROS, lipid peroxidation, MDA, and GSH levels, mitochondrial membrane potential (JC-1), and cell viability. RESULTS: Gastrodin treatment at the two doses both significantly ameliorated HIBD and neurological deficits of the mice, reduced mitochondrial damage and Fe²⁺, MDA and ROS levels, increased GSH level, and upregulated GPX4, SLC7A11, and FTH1 protein expressions. In HT22 cells, gastrodin pretreatment obviously attenuated OGD-induced ferroptosis and improved cell viability and mitochondrial function. Co-treatment with RSL3 potently abrogated the inhibitory effects of gastrodin on Fe²⁺, ROS, BODIPY-C11, and MDA levels and attenuated its protective effects on GSH level, cell viability, and mitochondrial membrane potential. CONCLUSIONS Gastrodin provides neuroprotective effects in neonatal mice with HIBD by suppressing neuronal ferroptosis via upregulating the GPX4/SLC7A11/FTH1 signaling pathway.
Animals ; Ferroptosis/drug effects* ; Hypoxia-Ischemia, Brain/drug therapy* ; Mice ; Mice, Inbred C57BL ; Signal Transduction/drug effects* ; Phospholipid Hydroperoxide Glutathione Peroxidase ; Glucosides/pharmacology* ; Animals, Newborn ; Benzyl Alcohols/pharmacology* ; Amino Acid Transport System y+/metabolism*

"Double first-class" universities bear the pressure on competitions in scientific research and talents cultivation. Young faculties at these universities commonly face the stress of tenure-track assessment. Many of them are required to engage in part-time counselor work, leveraging their expertise in the value guidance for the students and providing all-round education. This article outlines the formation and development of the part-time counselor system, as well as the importance and necessity of part-time counselors in "double first-class" universities. Taking preventive medicine major of Fudan University as an example, the practical work of part-time counselors are explained. Finally, the responsibility of part-time counselors, as well as shortcomings and prospects of the construction of the part-time counselor team are summarized based on the major characteristics and cultivation goals of preventive medicine major. In a word, part-time counselors play an important role in guiding students' value formation, addressing psychological and life issues, fostering professional identity, mentoring academic research, and engaging in public health practice. In turn, this work deepens young teachers' appreciation of socialist education and strengthens their sense of nationality at the same time. In the future, it is still necessary to further improve the discovery and cultivation of top-notch innovative talents, promote interdisciplinary exchanges, and strengthen public health practice, etc. Strengthen the all-round capacity building of the team of part-time counselors, and accelerate the cultivation of high-quality interdisciplinary public health leaders who serve Healthy China and have an international perspective are of great significance.

OBJECTIVE: To develop a method for identifying high-risk patients among septic populations requiring mechanical ventilation, and to conduct phenotypic analysis based on this method. METHODS: Data from four sources were utilized: the Medical Information Mart for Intensive Care (MIMIC-IV 2.0, MIMIC-III 1.4), the Philips eICU-Collaborative Research Database 2.0 (eICU-CRD 2.0), and the Anhui Medical University Second Affiliated Hospital dataset. The adult patients in intensive care unit (ICU) who met Sepsis-3 and received invasive mechanical ventilation (IMV) on the first day of first admission were enrolled. The MIMIC-IV dataset with the highest data integrity was divided into a training set and a test set at a 6:1 ratio, while the remaining datasets were served as validation sets. The demographic information, comorbidities, laboratory indicators, commonly used ICU scores, and treatment measures of patients were extracted. Clinical data collected within first day of ICU admission were used to calculate the sequential organ failure assessment (SOFA) score. K-means clustering was applied to cluster SOFA score components, and the sum of squared errors (SSE) and Davies-Bouldin index (DBI) were used to determine the optimal number of disease subtypes. For clustering results, normalized methods were employed to compare baseline characteristics by visualization, and Kaplan-Meier curves were used to analyze clinical outcomes across phenotypes. RESULTS: This study enrolled patients from MIMIC-IV dataset (n = 11 166), MIMIC-III dataset (n = 4 821), eICU-CRD dataset (n = 6 624), and a local dataset (n = 110), with the four datasets showing similar median ages and male proportions exceeding 50%; using 85% of the MIMIC-IV dataset as the training set, 15% as the test set, and the rest dataset as the validation set. K-means clustering based on the six-item SOFA score was performed to determine the optimal number of clusters as 3, and patients were finally classified into three phenotypes. In the training set, compared with the patients with phenotype II and phenotype III, those with phenotype I had the more severe circulatory and respiratory dysfunction, a higher proportion of vasoactive drug usage, more obvious metabolic acidosis and hypoxia, and a higher incidence of congestive heart failure. The patients with phenotype II was dominated by respiratory dysfunction with higher visceral injury. The patients with phenotype III had relatively stable organ function. The above characteristics were consistent in both the test and validation sets. Analysis of infection-related indicators showed that the patients with phenotype I had the highest SOFA score within 7 days after ICU admission, initial decreases and later increases in platelet count (PLT), and higher counts of neutrophils, lymphocytes, and monocytes as compared with those with phenotype II and phenotype III, their blood cultures had a higher positivity rates for Gram-positive bacteria, Gram-negative bacteria and fungi as compared with those with phenotype II and phenotype III. The Kaplan-Meier curve indicated that in the training, test, and validation sets, the 28-day cumulative mortality of patients with phenotype I was significantly higher than that of patients with phenotypes II and phenotype III. CONCLUSIONS Three distinct phenotypes in septic patients receiving IMV based on unsupervised machine learning is derived, among which phenotype I, characterized by cardiorespiratory failure, can be used for the early identification of high-risk patients in this population. Moreover, this population is more prone to bloodstream infections, posing a high risk and having a poor prognosis.
Humans ; Machine Learning ; Sepsis/therapy* ; Respiration, Artificial ; Intensive Care Units ; Organ Dysfunction Scores ; Male ; Female ; Middle Aged ; Adult