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.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

Objective　To compare the changes in the genetic diversity of Anopheles minimus through the research on the population genetic characteristics of Anopheles minimus between different years in Nabang Town, Yingjiang County, Yunnan Province. Methods Anopheles mosquitoes were collected by light traps in Nabang Town, Yingjiang County, Yunnan Province in May 2014 and May 2021. After morphological identification, each mosquito was individually stored in separate tubes for further analysis. DNA of Anopheles minimus was extracted using kits. Microsatellite sequences in the template DNA were amplified using eight pairs of fluorescent primers, and the resulting products were subjected to capillary electrophoresis by a sequencing company. PopGen32 software was used to calculate the observed number of alleles (Na), effective number of alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He), and Shannon's information index (I) for individual microsatellite loci and population groups. PIC-CALC software was used to calculate the polymorphic information content (PIC). Results A total of 158 mosquitoes belonging to 6 Anopheles species were captured in 2014, while 529 mosquitoes belonging to 5 Anopheles species were captured in 2021. The composition ratio of Anopheles minimus among the mosquito species differed significantly between 2014 and 2021 (χ2=70.48, P<0.01). For 8 microsatellite loci, a total of 85 alleles were detected, a range of 6-20 alleles per locus and an average of 10.625 alleles. Ne ranged from 1.717 to 7.797, with an average of 4.011. The highest PIC was found in the am4 locus, and the lowest in the am25 locus. For the population groups, 77 alleles were found in 2014, and 62 alleles were found in 2021. Ne ranged from 1.630 to 8.658, with an average of 4.147 in 2014. Ne ranged from 1.760 to 6.744, with an average of 3.698 in 2021. The average Ho was 0.641 in 2014 and 0.650 in 2021, while the average He was 0.699 in 2014 and 0.691 in 2021. The Shannon's index ranged from 0.774 to 2.493 in 2014, with an average of 1.579, and from 0.938 to 2.224 in 2021, with an average of 1.464. Na, Ne, I, and PIC were all higher in 2014 compared to 2021, with Na: 9.625>7.750, Ne: 4.147>3.698, I: 1.579>1.464, and PIC: 0.655>0.640, respectively. Conclusions The populations of Anopheles minimus in Nabang Town, Yingjiang County, exhibited high levels of polymorphism in both 2014 and 2021. However, the genetic diversity of the population in 2021 was lower than that in 2014.

Objective:To investigate the effect of subacute exposure of Di(2-ethylhexyl)phthalate(DEHP)on endometrial decidualization and early pregnancy miscarriage in mice.Methods:CD1 mice were orally administrated with 300(low-dose group),1000(medium-dose group),or 3000 mg·kg-1·d-1 DEHP(1/10 LD50,high-dose group)for 28 days,respectively.An early natural pregnancy model and an artificially induced decidualization model were established.The uterine tissues were collected on D7 of natural pregnancy and D8 of artificially induced decidualization,respectively.The effects of a subacute exposure to DEHP on the decidualization of mice were detected by HE staining,Masson staining,TUNEL assay,and Western blotting.A model of spontaneous abortion was constructed in mice after subacute exposure to 300 mg·kg-1·d-1 DEHP,and the effect of impaired decidualization on pregnancy was investigated by observing the pregnancy outcome on the 10th day of gestation.Results:Compared with the control group,the conception rate was significantly decreased in the high-dose DEHP subacute exposure group(P＜0.05).HE staining showed that,compared with the control group,the decidual stromal cells in the low-and medium-dose exposure groups were disorganized,the nuclei of the cells were irregular,the cytoplasmic staining was uneven,and the number of polymorphonuclear cells was significantly reduced.Masson staining showed that compared with the control group,the collagen fibers in the decidua region of the DEHP low-dose group and the medium-dose group were more distributed,more abundant and more disorderly.TUNEL assay showed increased apoptosis in the decidua area compared to the control group.Western blotting showed that the expression of BMP2,a marker molecule for endometrial decidualization,was significantly reduced(P＜0.05 or P＜0.01).The abortion rate and embryo resorption rate were increased,and the number of embryos,uterine wet weight,uterine area and placenta wet weight were decreased in DEHP low-dose group compared to the control group stimulated by mifepristone,an abortifacient drug(P＜0.05 or P＜0.01).Conclusion:Subacute exposure to DEHP leads to impaired endometrial decidualization during early pregnancy and exacerbates the risk of adverse pregnancy outcomes in mice.

Taking Kunming Medical University as an example, we explore the mechanism for the separation and coordination of supervision, management, and evaluation, establish and implement a course quality rating system, and strengthen the course quality evaluation. The course quality rating system mainly consists of merit evaluation for courses of grades A and B and admittance evaluation for courses of grades C and D. Through the course quality rating, courses are diagnosed and compared, with the aim to improve course connotation construction (labeling, setting an example, promoting excellent courses, and removing inferior courses), achieve "good pay for good courses", encourage the faculty to strengthen curriculum quality, and measure ourselves with our own ruler. We discussed the problems about the difference in evaluation indicators, the professionality of evaluators, and the incentive effect of evaluation results, and also proposed strategies for improving course quality rating in medical colleges from the perspectives of deepening the content of evaluation indices, ensuring the effectiveness after evaluation, and ascertaining the main body of course construction in daily work.