Objective: To explore the nonlinear dynamic effects of social capital, adverse childhood experiences (ACEs) and depressive symptoms on suicidal behavior among vocational high school students, so as to provide theoretical basis and practical references for formulating suicide prevention strategies. Methods: A convenience sampling method was employed to include 668 students from a vocational high school from Wuhan in March 2023. Social capital was used as the asymmetry variable, while ACEs and depressive symptoms were used as bifurcation variables, a cusp catastrophe model was constructed to analyze the nonlinear changes in suicidal behavior among vocational high school students, and its fit was compared with linear and Logistic regression models. Results: Among students in the health vocational high school in Wuhan, only suicidal ideation accounted for 8.5%, only suicide attempt for 18.6%, neither accounted for 31.9%, and both for 41.0%. Gender, left behind experience, family economic status, parental parenting styles, depressive symptoms, social capital, and ACEs were all related factors influencing suicidal behavior among vocational high school students ( χ 2/H=19.03, 13.33, 21.11, 46.70, 144.38, 24.61, 118.77, all P <0.05). Violin plots showed a bimodal distribution of suicidal behavior, indicating nonlinear variation characteristics. The cusp catastrophe model results showed that social capital was negatively correlated with suicidal behavior, but the relationship was bifurcated by ACEs ( α social capital = -0.006 , β ACEs =0.075) and depressive symptoms ( α social capital =-0.013, β depressive =0.028) (all P <0.05). When both ACEs and depressive symptoms coexisted, the impact of ACEs was stronger ( β ACEs =0.077, β depressive =0.014) (both P <0.05). The cusp catastrophe model fitted ( R 2=0.886, 0.881, 0.882) better than the linear ( R 2=0.258, 0.219, 0.258) and Logistic regression models ( R 2= 0.242, 0.211 , 0.176). Gender stratified analysis results showed that bifurcation effect of ACEs was stronger in males than in females( β boys =0.224, β girls =0.086); in females, both ACEs and depressive symptoms had a bifurcation effect, with the former showing a stronger effect ( β ACEs =0.062, β depressive =0.015) (all P <0.05). Conclusions Suicidal behavior among vocational high school students exhibits nonlinear characteristics. Improving social capital to reducing ACEs and depressive symptoms may contribute to decreasing adolescent suicidal behaviors.

The thyroid gland is the largest endocrine organ in the human body， and its dysfunction can cause varying degrees of liver injury， leading to liver failure in severe cases. Patients with hyperthyroidism have a relatively high incidence rate of liver dysfunction， manifesting as hepatocellular injury or cholestatic liver injury， while hypothyroidism is closely associated with metabolic dysfunction-associated fatty liver disease. Autoimmune thyroid diseases， including Hashimoto’s thyroiditis and subacute thyroiditis， are commonly comorbid with autoimmune liver disease. In addition， medications such as antithyroid drugs， amiodarone， and immune checkpoint inhibitors can cause severe liver injury through direct toxicity or immune-mediated mechanisms. Although significant progress has been achieved in related diagnosis and treatment techniques in recent years， there are still many challenges in pathogenesis， individualized treatment strategies， early warning， and prognostic evaluation. This article systematically reviews the research advances in liver injury associated with thyroid dysfunction and proposes the directions for future research， in order to provide guidance for clinical diagnosis and treatment.

BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

BACKGROUND:Spondylolisthesis is a common disease,and there is a lack of effective drugs to treat it.There is still a need to further define the pathogenesis and screen out more suitable therapeutic targets for spondylolisthesis.Mendelian randomization analysis can be used to explore the drugable genes associated with spondylolisthesis and provide valuable guidance for the development of more effective and targeted therapeutic drugs.OBJECTIVE:To explore potential therapeutic targets and effective drugs for spondylolisthesis by means of pharmaceutically available genome-wide Mendelian randomization analysis.METHODS:Using the Finnish database,eQTLGen consortium,drug signature database,drug-gene interaction database,protein-protein interaction database,organic small molecule biological activity database and protein structure database,which contains genome and health information of half a million Finns,data on druggable genes were subjected to two-sample Mendelian randomization analysis and co-localization analysis with data from genome-wide association studies of spondylolisthesis to identify genes highly associated with spondylolisthesis.In addition,GO and KEGG enrichment analysis,protein network construction,drug prediction and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic agents.RESULTS AND CONCLUSION:In this study,we identified 34 potential drug target genes that were significantly associated with spondylolisthesis,particularly the gene APOBEC3G.This gene showed a significant association with spondylolisthesis outcomes through Mendelian analysis and co-localization analysis,suggesting that APOBEC3G may be a priority therapeutic target.As for other potential mechanisms and drugs,we still need to conduct more in-depth research to determine their roles.This study used a database from a European population,which can be used as a reference for the study of population genetics in China.

Objective: To investigate the incidence and influencing factors of new onset suicidal behaviors among junior and senior high school students, so as to provide evidence for early warning and intervention. Methods: Using a cluster sampling method, baseline data were collected from September to November 2023 among 2 379 adolescents selected from 2 junior high schools, 2 general senior high schools and 2 vocational senior high schools in Wuhan, Hubei Province, with follow up carried out from September to November 2024. Data were collected using the School Adaptation Scale, the Essential Resilience Scale, the Personal Social Support Scale, the Adverse Childhood Experiences Questionnaire, the Adolescent Life Events Scale, the Pittsburgh Sleep Quality Index, the Center for Epidemiologic Studies Depression Scale, and the Columbia-Suicide Severity Rating Scale. Multivariate Logistic regression analysis was used to identify factors influencing new onset suicidal behavior among junior and senior high school students. Results: Among junior and senior high school students without suicide risk at baseline, 53.55% remained stable risk free during follow up, while 13.28% developed new suicidal behavior during follow up, of which suicidal ideation, suicide plan and suicide attempts accounted for 11.69%, 8.83% and 6.52%, respectively. Multivariate Logistic regression revealed that increased depressive symptoms at follow up elevated the risk of overall new onset suicidal behaviors ( OR =4.14), ideation ( OR = 4.59), plans ( OR =4.24), and attempts ( OR =4.09); poor sleep quality also increased the risk of overall new onset suicidal behaviors ( OR =2.23), plans ( OR =2.03), and attempts ( OR =2.65) (all P <0.05). Non boarding junior and senior high school students had lower risks of overall new onset suicidal behaviors and ideation ( OR=0.70 and 0.49, respectively); secondary school students with academic performance ranking in the top 20%-30% of their class had a lower risk of new onset ideation ( OR =0.27); and those whose place of origin was outside the city had a lower risk of new onset plans ( OR =0.49) (all P <0.05). Conclusions New onset suicidal behaviors among junior and senior high school students exhibit dynamic and stage specific differences. Depressive symptoms serve as a common core risk factor across all stages, whereas sleep quality, academic performance, boarding status, and place of origin exert differential influences at distinct stages.

Objective:To clarify the current status of mechanical ventilation management in critically ill patients and identify prognostic risk factors in Xinjiang Uygur Autonomous Region, thereby providing evidence for targeted training programs and quality improvement initiatives.Methods:A cohort study was conducted across multiple ICUs in Xinjiang Uygur Autonomous Region from January 31 to February 1, 2024. Patients receiving mechanical ventilation during the study period were enrolled, with clinical outcomes followed up until February 28, 2024. Statistical analyses included demographic characteristics, therapeutic interventions, laboratory parameters, and medication regimens.Results:A total of 77 ICUs and 727 patients were screened in the study, and 253 (34.80%) patients who received mechanical ventilation were ultimately included. Among these patients, 177 patients (69.96%) were treated in tertiary hospitals, and 76 patients (30.04%) in secondary hospitals. Significant differences were observed between tertiary and secondary hospitals regarding ventilator mode selection and mechanical ventilation parameter settings (all P<0.05). No significant differences were found in the 28-day mortality rate between tertiary hospitals and secondary hospitals (33.9% vs. 43.4%, P=0.194). Compared with patients in the survival group, death group patients were older and had more severe disease severity. Multivariate Cox regression analysis demonstrated that body temperature ( HR=1.573, 95% CI: 1.173-2.110, P=0.003), white blood cell count ( HR=1.048, 95% CI: 1.012-1.084, P=0.008), pH ( HR=0.019, 95% CI: 0.001-0.349, P=0.007), age > 65 years ( HR=1.817, 95% CI: 1.086-3.041, P=0.023), and fraction of inspired oxygen ≥ 60% ( HR=2.072, 95% CI: 1.143-3.757, P=0.016) were independent influencing factors for 28-day mortality in mechanically ventilated patients. Conclusions:Mechanically ventilated patients are a major component of the ICU population in Xinjiang Uygur Autonomous Region, with the characteristics of high risk of death. The clinical practice of mechanical ventilation in this region is heterogeneous. In the future, it is urgent to strengthen the improvement of medical quality and related training to improve the success rate of patients with mechanical ventilation.

BACKGROUND:Monounsaturated fatty acids are mostly recognized as a fatty acid with beneficial effects on human health,and some studies have suggested that they may contribute to non-inflammatory pain at multiple sites in the body.OBJECTIVE:To investigate the effect of monounsaturated fatty acids on the incidence of low back pain and all-cause mortality,thereby providing potential biomarkers and intervention strategies for low back pain management and prevention.METHODS:A Mendelian randomization method was used to analyze the potential association of monounsaturated fatty acids on the incidence of low back pain and all-cause mortality in conjunction with large sample data from the National Health and Nutrition Examination Survey(NHANES)database.Results were validated and sensitivity analyzed using multiple statistical models(e.g.,inverse variance weighting,MR-Egger regression,simple median,weighted median,and weighted median)to enhance the reliability of causal inferences.In the NHANES study,multivariate Cox proportional risk regression models were used to assess the independent predictive values of different fatty acid ratios and to control for confounders.Potential nonlinear relationships between monounsaturated fatty acids and all-cause mortality were assessed using Kaplan-Meier curves,log-rank tests,and restricted cubic spline curves.RESULTS AND CONCLUSION:Elevated monounsaturated fatty acids have been found to be associated with a significantly higher risk of low back pain,suggesting an unfavorable effect of this fatty acid.Also,monounsaturated fatty acids may increase all-cause mortality in patients with low back pain.This provides new insights into the potential effects of monounsaturated fatty acids on low back pain and all-cause mortality,and provides a scientific basis for nutritional interventions for low back pain.The results support the use of dietary modification as one of the strategies for the prevention and management of low back pain in the European population,but further studies are needed to explore the specific biological mechanisms and potential for clinical application,thereby improving guidance for the prevention and treatment of diseases in China.

Objective:This study addresses the challenges of data governance for non-computerized instruments in the context of pharmaceutical industry 4.0,proposing an intelligent transformation solution to overcome traditional data management bottlenecks.Methods and Results:By constructing a three-tier technical framework"net-worked architecture,highly compatible connectivity,and tamper-proof conversion":USB middleware is deployed to enable real-time data transmission from multiple instruments.Algorithms convert editable formats into non-editable files compliant with FDA 21 CFR Part 11 in real time;an automated backup system ensures data redundancy.Conclusion:Key innovations include a non-invasive transformation mode and an networked layout,offering a cost-effective pathway for upgrading traditional instruments to meet GxP standards.This research bridges the technical gap in data integrity management for non-computerized systems,ensuring regulatory compliance and operational efficiency.

Objective:To design a vest-type breast dressing bra and explore its application effect in the external application of traditional Chinese medicine therapy for patients with granulomatous lobular mastitis(GLM).Methods:A randomized controlled study was conducted, utilizing convenience sampling to select female patients with 122 GLM who underwent their first topical medication treatment in the Breast Department of Guangdong Provincial Hospital of Traditional Chinese Medicine between January and May 2023. The patients were divided into a control group and an observation group, with 61 patients in each, using a random number table. Following medication application, patients in the control group used a regular sports bra to secure the medication, while patients in the observation group used a custom-designed vest-style breast medication bra for the same purpose. Three hours after the intervention, comparisons were made between the two groups in terms of the incidence of medication detachment, medication displacement, clothing contamination, patient satisfaction, and safety.Results:Both groups of patients completed the study. The age of the observation group was (32.18 ± 5.50) years old, while the age of the control group was (33.66 ± 5.20) years old. Three hours after the intervention, the incidence of medication detachment, medication displacement, clothing contamination in the observation group were 3.28% (2/61), 6.56% (4/61), and 8.20% (5/61), which were lower than those in the control group with 18.03% (11/61), 26.23% (16/61), and 67.21% (41/61), respectively. The differences were statistically significant ( χ2=6.97, 8.61, 45.23; all P<0.05). The satisfaction level of patients towards the bra in the observation group was (4.43 ± 0.85) points, higher than that of the control group (3.85 ± 1.08) points, with a statistically significant difference ( t=3.30, P<0.05). The incidence rates of skin allergic reactions were 3.28%(2/61) and 4.92%(3/61) in the observation group and the control group, respectively, with no statistically significant difference ( P>0.05). Conclusions:The vest-type breast dressing bra designed in this study can properly secure the medicinal paste, reduce the rate of medication detachment, medication displacement, clothing contamination, and enhance patient satisfaction. It facilitates the external application of traditional Chinese medicine for patients with GLM and is worthy of clinical promotion.

Objective: To explore the influencing factors and pathways of suicidal ideation among children and adolescents with severe autism spectrum disorder (ASD), so as to provide references for clarifying the impact intensity and pathways of various factors on suicidal ideation in the population. Methods: A cross sectional study was conducted from June 17, 2024, to January 12, 2025, involving 96 severely affected ASD children and adolescents aged 8-18 years from Tianjin. Participants were assessed using the Puberty Development Scale (PDS), Children s Alexithymia Measure (CAM), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI). The random forest Boruta algorithm was employed to screen core variables, and a Bayesian network model was constructed to analyze the influencing factors of suicidal ideation in children and adolescents with severe ASD. Results: Through the screening using the Boruta algorithm, the SDQ scale score, conduct problems, hyperactivity, peer relationship problems and prosocial behavior were identified as the key predictors of suicidal ideation. A Bayesian network model was established with hyperactivity as the central mediating node. The impact of hyperactivity on suicidal ideation exhibited a non linear relationship: compared to the normal state (31.6%, 68.4%), the borderline state of hyperactivity was associated with a higher probability of low risk suicidal ideation (47.1%) and a lower probability of high risk suicidal ideation (52.9%). Suicidal ideation among children and adolescents with severe ASD was closely related to hyperactivity. In the state of hyperactivity, the abnormal peer relationship (95.2%) and the abnormal prosocial behavior (77.0%) were aggravated. Conclusions Suicide ideation among children and adolescents with severe ASD is strongly associated with hyperactivity traits. It is necessary to establish a prevention and control system centered on hyperactivity intervention to reduce this risk.