BackgroundSevere mental disorders represent a major public health concern due to the high disability rates and substantial disease burden， which has garnered significant national attention and prompted their inclusion in public health project management systems. However， credible evidence regarding the current status of disease management and factors influencing disease stabilization among patients with severe mental disorders in Luzhou City， Sichuan Province， remains limited. ObjectiveTo investigate the current management status of patients with severe mental disorders in Luzhou City， Sichuan Province， and to analyze influencing factors of disease stabilization among patients under standardized care， so as to provide evidence-based insights for developing targeted management strategies to optimize clinical interventions for this patient population. MethodsIn March 2023， data were extracted from the Sichuan Mental Health Service Comprehensive Management Platform for patients with severe mental disorders in Luzhou City who received management between December 2017 and December 2022. Information on mental health service utilization and clinical status changes was collected. Trend analysis was conducted to evaluate temporal changes in key management indicators for severe mental disorders in Luzhou City. Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients. ResultsThis study enrolled a total of 20 232 patients. In Luzhou City， the stabilization rate and standardized management rate of severe mental disorders were 94.89% and 79.36% in 2017， respectively， which increased to 95.33% and 96.92% by 2022. The regular medication adherence rate rose from 34.42% in 2018 to 86.81% in 2022. In 2022， the regular medication adherence rate was 71.80% for schizophrenia， 55.26% for paranoid psychosis， and 51.43% for schizoaffective disorder. Multivariate analysis identified the following protective factors for disease stabilization： age of 18~39 years （OR=0.613， 95% CI： 0.409~0.918）， age of 40~65 years （OR=0.615， 95% CI： 0.407~0.931）， urban residence （OR=0.587， 95% CI： 0.478~0.720）， and regular medication adherence （OR=0.826， 95% CI： 0.702~0.973）. Risk factors for disease fluctuation included poor （OR=1.712， 95% CI： 1.436~2.040）， non-inclusion in care-support programs （OR=1.928， 95% CI： 1.694~2.193）， non-participation in community rehabilitation （OR=2.255， 95% CI： 1.930~2.634）， and intermittent medication adherence （OR=3.893， 95% CI： 2.548~5.946）. ConclusionThe stability rate， standardized management rate， and regular medication adherence rate of patients with severe mental disorders in Luzhou City have shown a year-by-year increase. Age， household registration status， economic condition， medication compliance， and community-based rehabilitation were identified as influencing factors for disease fluctuation in these patients. ［Funded by Luzhou Science and Technology Plan Project （number， 2022-ZRK-186）］

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective: Previous studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them. Methods: To derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted. Results: The LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36–0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4). Conclusion Left caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Objective Exploring the behavioral changes induced by quinpirole in obsessive-compulsive disorder(OCD)mouse,investigating the activation of neurons in different brain regions,and identifying differentially expressed genes(DEGs)and enriched biological pathways through transcriptome sequencing technology to elucidate the pathogenesis of OCD.Methods Randomly assign 32 male C57BL/6J mice,aged two months,to an OCD group and a control group(n=16).Administering quinpirole(0.75 mg/kg)via subcutaneous injection to the OCD group mice every other day for a total of 19 injections,while the control group mice received an equivalent volume of saline solution.Following the completion of the model construction,open field testing,elevated plus maze testing,and marble burying tests were conducted.After the completion of behavioral studies,tissue samples were collected.Neuronal damage was assessed using Nissl staining,while the expression of c-Fos and Iba1 proteins was examined through immunofluorescence staining.Transcriptome sequencing technology was utilized to screen for differentially expressed genes and to enrich relevant signaling pathways.The expression of inflammatory cytokines,including TNF-α,NF-κB p65,phosphorylated NF-κB p65(p-NF-κB p65),and IL-6,was detected using Western Blot analysis.Results Mouse induced with OCD by quinpirole exhibit anxiety-like behaviors and compulsive-like behaviors.Neurons in the hippocampal and hypothalamic regions exhibit signs of damage.The expression of c-Fos and Iba1 proteins is increased in the cortex,striatum,hypothalamus,and other brain regions.Western Blot result indicate a significant increase in the expression of pro-inflammatory cytokines such as TNF-α,p-NF-κB p65,and IL-6.Conclusions In OCD mouse,neurons in multiple brain regions are abnormally activated,microglia exhibit dysfunction,and neuroinflammation induced by the activation of the NF-κB signaling pathway accompanies the development of OCD.

Alzheimer's disease(AD)is one of the most prevalent neurodegenerative disorders,and is increasingly becoming a global health challenge,in line with the intensification of population aging.The pathogenesis of AD is currently unclear and treatment options are limited.Currently available drugs can only alleviate the symptoms of AD to a certain extent,and cannot delay its progression.Numerous studies,however,have shown that a variety of micronutrients may play a positive role in the treatment of AD.Vitamins and trace metal elements have many functions,including anti-inflammation,anti-oxidation,and protection of mitochondria.Micronutrients can effectively reduce β-amyloid protein plaque deposition and Tau protein hyperphosphorylation to improve brain energy metabolism,thereby helping to prevent and treat AD.This article reviews and summarizes the roles of common vitamins and trace metal elements in the prevention and treatment of AD,with the goal of offering new perspectives for the clinical management and prevention of this disease.

Objective Exploring the behavioral changes induced by quinpirole in obsessive-compulsive disorder(OCD)mouse,investigating the activation of neurons in different brain regions,and identifying differentially expressed genes(DEGs)and enriched biological pathways through transcriptome sequencing technology to elucidate the pathogenesis of OCD.Methods Randomly assign 32 male C57BL/6J mice,aged two months,to an OCD group and a control group(n=16).Administering quinpirole(0.75 mg/kg)via subcutaneous injection to the OCD group mice every other day for a total of 19 injections,while the control group mice received an equivalent volume of saline solution.Following the completion of the model construction,open field testing,elevated plus maze testing,and marble burying tests were conducted.After the completion of behavioral studies,tissue samples were collected.Neuronal damage was assessed using Nissl staining,while the expression of c-Fos and Iba1 proteins was examined through immunofluorescence staining.Transcriptome sequencing technology was utilized to screen for differentially expressed genes and to enrich relevant signaling pathways.The expression of inflammatory cytokines,including TNF-α,NF-κB p65,phosphorylated NF-κB p65(p-NF-κB p65),and IL-6,was detected using Western Blot analysis.Results Mouse induced with OCD by quinpirole exhibit anxiety-like behaviors and compulsive-like behaviors.Neurons in the hippocampal and hypothalamic regions exhibit signs of damage.The expression of c-Fos and Iba1 proteins is increased in the cortex,striatum,hypothalamus,and other brain regions.Western Blot result indicate a significant increase in the expression of pro-inflammatory cytokines such as TNF-α,p-NF-κB p65,and IL-6.Conclusions In OCD mouse,neurons in multiple brain regions are abnormally activated,microglia exhibit dysfunction,and neuroinflammation induced by the activation of the NF-κB signaling pathway accompanies the development of OCD.

Alzheimer's disease(AD)is one of the most prevalent neurodegenerative disorders,and is increasingly becoming a global health challenge,in line with the intensification of population aging.The pathogenesis of AD is currently unclear and treatment options are limited.Currently available drugs can only alleviate the symptoms of AD to a certain extent,and cannot delay its progression.Numerous studies,however,have shown that a variety of micronutrients may play a positive role in the treatment of AD.Vitamins and trace metal elements have many functions,including anti-inflammation,anti-oxidation,and protection of mitochondria.Micronutrients can effectively reduce β-amyloid protein plaque deposition and Tau protein hyperphosphorylation to improve brain energy metabolism,thereby helping to prevent and treat AD.This article reviews and summarizes the roles of common vitamins and trace metal elements in the prevention and treatment of AD,with the goal of offering new perspectives for the clinical management and prevention of this disease.