ObjectiveTo understand the mental health literacy levels and influencing factors among middle school students in Minhang District, Shanghai, and to provide a basis for formulating mental health promotion strategies. MethodsA multi-stage stratified cluster sampling method was adopted. From September to October 2023, middle school students (including junior and senior high school) from 14 streets, towns, and industrial zones in Minhang District, Shanghai, were recruited to participate in a questionnaire survey. The survey collected demographic information and employed the Adolescent Mental Health Literacy Assessment Scale. This scale comprises four dimensions (knowledge, recognition ability, attitude, and behavior) with a total of 22 items, using a Likert 5-point scale (1‒5 points), giving a maximum total score of 110 points. Reverse-scored items were inverted, and the sum of all item scores constituted the total scale score, with higher scores indicating better mental health literacy. A total score of ≥88 points was defined as having adequate mental health literacy. Multiple linear regression was used to analyze the factors influencing mental health literacy. ResultsThe average mental health literacy score of the 3 963 middle school students in Minhang District of Shanghai City was (85.42±11.27) points, with 45.22% of students having adequate mental health literacy. Univariate analyses showed that female students, junior high school students, and those without stressful events or physical illnesses in the past three months had higher total scores of mental health literacy. Statistically significant differences in total scores were also observed among students with different family economic statuses, parental education levels, frequency of physical exercise, parental relationships, father‑child relationships, and mother‑child relationships (all P<0.05). Multiple linear regression analyses showed that middle school students who were female, had better family economic conditions, higher maternal education levels (university degree or above), and harmonious mother-child relationships had higher mental health literacy scores. In contrast, high school students and those middle school students who participated in less physical activity had lower mental health literacy scores. Multivariate logistic regression analyses indicated that students who were female (OR=1.336, 95%CI: 1.174‒1.520), had superior family economic status (OR=2.000, 95%CI: 1.101‒3.725), had mothers with a university education level (OR=1.501, 95%CI: 1.217‒1.856), had lost one parent (OR=2.189, 95%CI: 1.176~4.158), or reported harmonious mother‑child relationships (OR=2.052, 95%CI: 1.432‒2.987) were more likely to meet the criteria for mental health literacy, whereas those who rarely engaged in physical exercise (OR=0.502, 95%CI: 0.358‒0.694) were less likely to have adequate mental health literacy. Stratified analyses showed that mental health literacy levels among junior high school students were positively correlated with being female, having a mother with a university education level, and having a mother‑child relationship that was average or harmonious and having a harmonious father‑child relationship, and negatively correlated with occasional or rare participation in physical exercise. Among senior high school students, mental health literacy levels were positively correlated with being female, having good or superior family economic status, having a mother with a university education level or above, and having a harmonious mother‑child relationship. ConclusionThe rate of adequate mental health literacy among middle school students in Minhang District, Shanghai, was approximately 45.22%. Gender, grade level, family economic status, maternal education level, physical activity participation, and mother-child relationship are independent factors associated with the level of mental health literacy among middle school students. Mother-child relationship and physical activity are potential intervention entry points. It is recommended to implement targeted health promotion initiatives focusing on key groups, such as high school boys, students from economically disadvantaged families, and those with insufficient physical activity.

Objective To develop a risk management system for complications associated with peripheral venous indwelling needles and to evaluate its application effect in order to reduce the risk of related complications.Methods We designed a comprehensive risk management system for peripheral intravenous indwelling needle complications,integrating specialized evidence-based guidelines with clinical practice insights,including 5 modules:intelligent assessment and decision support,intelligent inspection reminders,educational modules,collaborative case management procedures,and a knowledge base.Patients admitted to the neurology and internal classification metabolism departments of a tertiary hospital in Jilin Province were conveniently selected as the research subjects.Patients were assigned to a control group(from May to July 2022,before the implementation of the system)and an experimental group(from September to December 2022,after the implementation of the system).The incidence of complications,duration of indwelling needle,compliance rate of core indicators for nursing quality and number of nursing consultations were compared between the groups.Additionally,a self-administered questionnaire was used to assess clinical nurses'evaluations of the system.Results A total of 189 patients were included in the experimental group and 177 patients in the control group.The incidence of complications associated with peripheral intravenous indwelling needles was lower than that in the control group.The duration of indwelling peripheral intravenous needles was longer than that in the control group.The quality compliance rate of peripheral venous indwelling needle care in the experimental group was higher than that in the control group,and the number of consultation cases in the experimental group was higher than that in the control group.Comparisons between the 2 groups showed statistically significant differences for all indicators(P＜0.05).The nurses'recognition rates for the system's user-friendliness,professional guidance,and patient benefit were 77.78％,81.74％,and 82.13％,respectively.Conclusion The application of a peripheral vein indwelling needle complication risk management system can reduce the incidence of complications,prolong the duration of indwelling,and improve nursing quality.Nurses have a high recognition of this system.

Objective Human facial morphology is an appearance phenotype with high heritability,high diversity,and complexity.Traditional facial morphological genetic analysis is mostly based on facial landmark measurements,using linear regression for genome-wide association studies,but this method extracts limited facial morphological feature information.This study established an extraction method for multidimensional facial representations and validated the correlation between 473 single-nucleotide polymorphisms(SNPs)previously reported to be significantly associated with facial features and facial representations in the Han Chinese population.Methods After acquiring facial 3D images,3D morphable face models and HR-net network were used to align and quantify the 3D images,obtaining high-density 3D facial point cloud data.After unsupervised clustering of the point cloud,principal component analysis was applied to reduce dimensionality and extract multidimensional morphological phenotypes for each facial region.Based on these multidimensional phenotypes,partial least squares regression(PLSR)and canonical correlation analysis(CCA)were used for genetic association analysis.Results A total of 10 SNPs were validated to be significantly associated with facial morphology in Han Chinese,of which 7 SNPs were validated by the PLSR method,2 SNPs were validated by the CCA method,and 1 SNP was validated by both methods.Conclusion Among the 10 significantly associated SNP sites,9 related facial morphological regions were consistent with previous reports in other populations,indicating that genes affecting complex facial morphology have cross-population effects.

Objective Human facial morphology is an appearance phenotype with high heritability,high diversity,and complexity.Traditional facial morphological genetic analysis is mostly based on facial landmark measurements,using linear regression for genome-wide association studies,but this method extracts limited facial morphological feature information.This study established an extraction method for multidimensional facial representations and validated the correlation between 473 single-nucleotide polymorphisms(SNPs)previously reported to be significantly associated with facial features and facial representations in the Han Chinese population.Methods After acquiring facial 3D images,3D morphable face models and HR-net network were used to align and quantify the 3D images,obtaining high-density 3D facial point cloud data.After unsupervised clustering of the point cloud,principal component analysis was applied to reduce dimensionality and extract multidimensional morphological phenotypes for each facial region.Based on these multidimensional phenotypes,partial least squares regression(PLSR)and canonical correlation analysis(CCA)were used for genetic association analysis.Results A total of 10 SNPs were validated to be significantly associated with facial morphology in Han Chinese,of which 7 SNPs were validated by the PLSR method,2 SNPs were validated by the CCA method,and 1 SNP was validated by both methods.Conclusion Among the 10 significantly associated SNP sites,9 related facial morphological regions were consistent with previous reports in other populations,indicating that genes affecting complex facial morphology have cross-population effects.

Objective To investigate the effects of soluble receptor for advanced glycation end products(sRAGE)on the changes and functions of myocardial tissue proteins in mice during myocardial ischemia/reperfusion(I/R).Methods Establish the myocardial I/R model using cardiac-specific sRAGE transgenic mice,and apply proteomic methods to detect the types and levels of protein expression in myocardial tissue.Results Compared with the I/R+sRAGE KIfl/fl group,the I/R+sRAGE CKI group had 59 upregulated proteins and 42 downregulated proteins in myocardial tissue.The volcano plot showed that the significantly upregulated proteins were lghg1,lgh2b,Mcm7,and Nifk,and the significantly downregulated proteins were Abca7,Colla2,Ablim1,Crebrf,and Kcp,respectively.The subcellular localization results showed that the proteins with significant changes were mainly distributed in the nucleus,cytoplasm,extracellular space,plasma membrane,endoplasmic reticulum,cytoskeleton,and others.The results of functional enrichment showed that the significantly changed proteins were mainly involved in regulating signal transduction,cell motility,metabolism,infectious diseases,tumors and the immune system.Conclusion sRAGE can inhibit myocardial I/R injury by increasing or decreasing target proteins involved in regulating intracellular and extracellular signal transduction processes following myocardial I/R.

Objective To investigate the effects of soluble receptor for advanced glycation end products(sRAGE)on the changes and functions of myocardial tissue proteins in mice during myocardial ischemia/reperfusion(I/R).Methods Establish the myocardial I/R model using cardiac-specific sRAGE transgenic mice,and apply proteomic methods to detect the types and levels of protein expression in myocardial tissue.Results Compared with the I/R+sRAGE KIfl/fl group,the I/R+sRAGE CKI group had 59 upregulated proteins and 42 downregulated proteins in myocardial tissue.The volcano plot showed that the significantly upregulated proteins were lghg1,lgh2b,Mcm7,and Nifk,and the significantly downregulated proteins were Abca7,Colla2,Ablim1,Crebrf,and Kcp,respectively.The subcellular localization results showed that the proteins with significant changes were mainly distributed in the nucleus,cytoplasm,extracellular space,plasma membrane,endoplasmic reticulum,cytoskeleton,and others.The results of functional enrichment showed that the significantly changed proteins were mainly involved in regulating signal transduction,cell motility,metabolism,infectious diseases,tumors and the immune system.Conclusion sRAGE can inhibit myocardial I/R injury by increasing or decreasing target proteins involved in regulating intracellular and extracellular signal transduction processes following myocardial I/R.

Objective To analyze the changes in optical coherence tomography angiography (OCTA) parameters in patients with essential hypertension，and to explore the effect of blood pressure on OCTA parameters. Methods A total of 164 patients with essential hypertension were selected and divided into controlled blood pressure group (n=92) and uncontrolled blood pressure group (n=72). OCTA examination was performed on the optic disc and macula of all patients, and the right eyes were selected for analysis. Results There were no significant differences in retinal nerve fiber layer (RNFL) thickness, radial peripapillary capillary (RPC) total vascular density, RPC total small vessel density, perifovea superficial capillary plexus (SCP) vascular density, and perifovea deep capillary plexus (DCP) vascular density between the two groups of patients. There were no significant differences in foveal avascular zone (FAZ) area, FAZ diameter, and fovea retinal thickness between the two groups of patients. The density of the parafovea SCP, parafovea DCP, and fractal dimension (FD) in the uncontrolled blood pressure group were significantly lower than those in the controlled blood pressure group (P＜0.05). Multiple linear regression analysis showed that elevation of blood pressure was a independently related factor of reduced parafovea DCP density (P＝0.026), while there was no correlation between the uncontrolled blood pressure and parafovea SCP density and FD level. Conclusions The blood pressure level is correlated with the parafovea DCP density, while has no correlation with other OCTA parameters in hypertension patients.

Objective:To analyze the predictive effects of the Big Five personality traits and emotions on self-management behaviors in patients with type 2 diabetes mellitus (T2DM).Methods:This study was a cross-sectional research. From 2016 to 2020, community interventions for self-management among patients with chronic diseases were conducted in Hangzhou, targeting patients with type 2 diabetes recruited from 69 community health service centers across the city. The data for this study were derived from the baseline information collected during the community intervention. The Chinese Big Five Personality Inventory (CBF-PI-15), the Type 2 Diabetes Self-Management Scale (2-DSCS), the Self-Rating Anxiety Scale (SAS), and the Self-Rating Depression Scale (SDS) were employed for questionnaire assessments. Biochemical indicators, including postprandial 2-hour blood glucose, glycated hemoglobin (HbA 1c), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured. Spearman correlation analysis was used to examine the relationship between personality traits, relevant biochemical indicators, and self-management behaviors. Hierarchical regression analysis was employed to assess the predictive effects of the Big Five personality traits and emotions on self-management behaviors after controlling for demographic characteristics and factors related to health status. Results:A total of 839 patients were included in this study, comprising 518 females (61.75%) and 321 males (38.25%), with an average age of (66.92±8.67) years and an average disease duration of (8.87±6.91) years. There were significant differences in self-management behavior scores among patients with varying disease durations, educational levels, treatment methods, and levels of anxiety and depression ( t/F=6.172, 3.340, 4.699, 16.007, 27.127, all P<0.05). Neuroticism showed a negative correlation with various dimensions of self-management behaviors ( r=-0.130--0.073), while conscientiousness and agreeableness were positively correlated with various dimensions of self-management behaviors ( r=0.072-0.215). Dietary control score was negatively correlated with HbA 1c and LDL-C ( r=-0.106, -0.077), and regular exercise score was negatively correlated with postprandial 2-hour blood glucose, HbA 1c, TG, TC, HDL-C, and LDL-C ( r=-0.115--0.071). The total score of the 2-DSCS was negatively correlated with HbA 1c, TG, and TC ( r=-0.104--0.071). Patients with a disease duration exceeding 15 years and those receiving insulin injections or a combination of oral medication and insulin injections had higher total 2-DSCS score ( β=0.085, 0.146, 0.118, all P<0.05). Conversely, patients with higher HbA 1c and SDS standard scores had lower total 2-DSCS score ( β=-0.151, -0.328, both P<0.05), while those with higher agreeableness scores had higher total 2-DSCS score ( β=0.143, P<0.05). Conclusion:The traits of neuroticism, conscientiousness, and agreeableness within the Big Five Personality Traits, as well as anxiety and depressive emotions, are correlated with self-management behaviors. Specifically, agreeableness has a positive predictive effect on self-management behaviors, whereas depressive emotions have a negative predictive effect.

This study was a single-center retrospective study, to investigate the correlation between the relative level of miR-200a in exfoliated cells of peritoneal dialysis (PD) effluent and clinical indicators of peritoneal function in PD patients. Clinical data of PD patients who underwent treatment in the Department of Nephrology, the First Affiliated Hospital of Nanchang University, from January 2024 to December 2024 were collected, and the relative level of miR-200a in exfoliated cells of PD effluent was assessed. Patients were divided into three groups according to dialysis duration (Group A:≤1 year; Group B:>1 to <5 years; Group C:≥5 years), and differences in clinical data among the groups were compared. The correlation between the relative level of miR-200a and serum albumin, serum calcium, serum phosphorus, serum creatinine, hemoglobin, the neutrophil/high-density lipoprotein cholesterol ratio, the monocyte/high-density lipoprotein cholesterol ratio, the lymphocyte/high-density lipoprotein cholesterol ratio, and 24-hour urine volume in PD patients was analyzed. The results showed that there were no statistically significant differences among the three groups in gender, age, creatinine clearance rate, or Kt/V (all P>0.05). However, statistically significant differences were found among the three groups in peritoneal transport type ( χ2=13.518, P=0.001) and ultrafiltration volume ( H=6.905, P=0.032). Based on the 4-hour PD effluent creatinine/blood creatinine in the peritoneal equilibration test, patients were divided into the low transporter/low average transporter group (L group) and the high transporter/high average transporter group (H group). A statistically significant difference in the relative level of miR-200a was observed between the two groups [11.70 (1.09, 20.49) vs. 0.73 (0.46, 1.98), t=4.545, P<0.001]. The relative level of miR-200a was positively correlated with ultrafiltration volume and 24-hour urine output ( r=0.328, P=0.030; r=0.516, P<0.001), and negatively correlated with dialysis vintage ( r=-0.496, P<0.001). These results indicate that miR-200a level in PD effluent may, to some extent, reflect patients' peritoneal membrane function.

Increasing evidence shows that the early lesions of Parkinson's disease (PD) originate from gut, and correction of microbiota dysbiosis is a promising therapy for PD. FLZ is a neuroprotective agent on PD, which has been validated capable of alleviating microbiota dysbiosis in PD mice. However, the detailed mechanisms still need elucidated. Through metabolomics and 16S rRNA analysis, we identified glycoursodeoxycholic acid (GUDCA) was the most affected differential microbial metabolite by FLZ treatment, which was specially and negatively regulated by Clostridium innocuum, a differential microbiota with the strongest correlation to GUDCA production, through inhibiting bile salt hydrolase (BSH) enzyme. The protection of GUDCA on colon and brain were also clarified in PD models, showing that it could activate Nrf2 pathway, further validating that FLZ protected dopaminergic neurons through promoting GUDCA production. Our study uncovered that FLZ improved PD through microbiota-gut-brain axis, and also gave insights into modulation of microbial metabolites may serve as an important strategy for treating PD.