Pelvic organ prolapse (POP), whose etiology is influenced by genetic and clinical risk factors, considerably impacts women's quality of life. However, the genetic underpinnings in non-European populations and comprehensive risk models integrating genetic and clinical factors remain underexplored. This study constructed the first polygenic risk score (PRS) for POP in the Chinese population by utilizing 20 disease-associated variants from the largest existing genome-wide association study. We analyzed a discovery cohort of 576 cases and 623 controls and a validation cohort of 264 cases and 200 controls. Results showed that the case group exhibited a significantly higher PRS than the control group. Moreover, the odds ratio of the top 10% risk group was 2.6 times higher than that of the bottom 10%. A high PRS was significantly correlated with POP occurrence in women older than 50 years old and in those with one or no childbirths. As far as we know, the integrated prediction model, which combined PRS and clinical risk factors, demonstrated better predictive accuracy than other existing PRS models. This combined risk assessment model serves as a robust tool for POP risk prediction and stratification, thereby offering insights into individualized preventive measures and treatment strategies in future clinical practice.
Humans ; Female ; Pelvic Organ Prolapse/epidemiology* ; Middle Aged ; Risk Assessment/methods* ; China/epidemiology* ; Multifactorial Inheritance ; Aged ; Risk Factors ; Genome-Wide Association Study ; Genetic Predisposition to Disease ; Case-Control Studies ; Adult ; Polymorphism, Single Nucleotide ; Genetic Risk Score ; East Asian People

Objective:To explore the RNA expression and alterations in brain structure in individuals who have experienced stressful life events (SLE), as well as the correlation patterns between them and their association with the occurrence of depression.Methods:Prospectively, a total of 80 SLE subjects were recruited from the psychiatry and psychology clinic of the Jiangsu University Affiliated Yixing Hospital between January 2021 and December 2022, with 16 normal controls (NC) enrolled concurrently. The 17 items Hamilton depression scale (HAMD-17) and social readjustment rating scale (SRRS) were used to assess depressive symptoms and stress levels. RNA sequencing information of peripheral blood and imaging data at baseline were collected. Based on whether depression occurred during the 2-year follow-up period, SLE subjects were divided into the SLE-depression group ( n=15) and the SLE-non-depression group ( n=65). Differentially expressed genes (DEGs) were screened using differential analysis and protein-protein interaction (PPI) networks. Fractional anisotropy (FA) of white matter tracts and gray matter volume (GMV) were extracted using tract-based spatial statistics and voxel-based morphometry.Using analysis of variance compared inter-group differences in gene expression, GMV and white matter FA values. Partial correlation analysis was used to explore correlations between DEGs, altered GMV and white matter microstructure. Gene set enrichment analysis (GSEA) was performed on key genes to identify potential biological pathways. Propensity score matching constructed sensitivity subgroups to verify result robustness. Results:The SLE-depression group showed significantly higher SRRS and HAMD-17 scores at baseline and at the end of follow-up compared to the SLE-non-depression group and the NC group ( H=47.773, 35.427, 41.114, all P<0.05). Expression levels of IL-10 (2.12±0.28, 2.43±0.44), EZH2 (2.11±0.43, 2.45±0.51), NCAM1 (3.60±0.30, 3.03±0.39), CD3E (4.95±0.37, 4.57±0.48), CCK (3.29±0.28, 3.02±0.42), and CX3CR1 (5.55±0.40, 5.91±0.34) were significantly different between the SLE-depression group and SLE-non-depression group( F=5.549~28.371, all P<0.05). Compared with the SLE-non-depression group, the SLE-depression group exhibited significantly lower FA values in the genu of the corpus callosum (0.29±0.04, 0.31±0.04) and the left uncinate fasciculus (0.31±0.02, 0.33±0.02), as well as significantly smaller GMV in the right hippocampus (0.29±0.07, 0.33±0.06), bilateral middle frontal gyrus (left: 0.27±0.05, 0.31±0.05; right: 0.28±0.06, 0.32±0.06), right insula (0.36±0.03, 0.38±0.04), and left precentral gyrus (0.19±0.04, 0.24±0.05) ( F=4.593-12.064, all P<0.05, FDR correction). GMV in the right anterior cingulate and paracingulate gyri was significantly larger than that in the SLE-non-depression group (0.34±0.05, 0.29±0.06) ( F=6.704, P=0.034, FDR correction). Partial correlation analysis revealed significantly stronger correlations between hub DEGs and altered brain regions in the SLE-depression group ( r=0.017-0.801) compared to the SLE-non-depression group ( r=0.002-0.382), with a statistically significant difference ( U=629, P<0.001; Cliff's Delta=0.454). GSEA indicated that the aforementioned genes were primarily involved in pathways including the ribosome, spliceosome, ribosome biogenesis in eukaryotes, and neuroactive ligand-receptor interaction. Sensitivity analysis confirmed that the above results remained statistically significant after balancing sample sizes (all P<0.05). Conclusion:The SLE-depression group showed specific RNA expression and brain structure alterations compared to the SLE-non-depression group, and the correlation between RNA and brain structure was significantly enhanced in the SLE-depression group. This suggests that the correlation between genes and brain structure in the SLE population may be related to their susceptibility to depression.

Objective:To explore the RNA expression and alterations in brain structure in individuals who have experienced stressful life events (SLE), as well as the correlation patterns between them and their association with the occurrence of depression.Methods:Prospectively, a total of 80 SLE subjects were recruited from the psychiatry and psychology clinic of the Jiangsu University Affiliated Yixing Hospital between January 2021 and December 2022, with 16 normal controls (NC) enrolled concurrently. The 17 items Hamilton depression scale (HAMD-17) and social readjustment rating scale (SRRS) were used to assess depressive symptoms and stress levels. RNA sequencing information of peripheral blood and imaging data at baseline were collected. Based on whether depression occurred during the 2-year follow-up period, SLE subjects were divided into the SLE-depression group ( n=15) and the SLE-non-depression group ( n=65). Differentially expressed genes (DEGs) were screened using differential analysis and protein-protein interaction (PPI) networks. Fractional anisotropy (FA) of white matter tracts and gray matter volume (GMV) were extracted using tract-based spatial statistics and voxel-based morphometry.Using analysis of variance compared inter-group differences in gene expression, GMV and white matter FA values. Partial correlation analysis was used to explore correlations between DEGs, altered GMV and white matter microstructure. Gene set enrichment analysis (GSEA) was performed on key genes to identify potential biological pathways. Propensity score matching constructed sensitivity subgroups to verify result robustness. Results:The SLE-depression group showed significantly higher SRRS and HAMD-17 scores at baseline and at the end of follow-up compared to the SLE-non-depression group and the NC group ( H=47.773, 35.427, 41.114, all P<0.05). Expression levels of IL-10 (2.12±0.28, 2.43±0.44), EZH2 (2.11±0.43, 2.45±0.51), NCAM1 (3.60±0.30, 3.03±0.39), CD3E (4.95±0.37, 4.57±0.48), CCK (3.29±0.28, 3.02±0.42), and CX3CR1 (5.55±0.40, 5.91±0.34) were significantly different between the SLE-depression group and SLE-non-depression group( F=5.549~28.371, all P<0.05). Compared with the SLE-non-depression group, the SLE-depression group exhibited significantly lower FA values in the genu of the corpus callosum (0.29±0.04, 0.31±0.04) and the left uncinate fasciculus (0.31±0.02, 0.33±0.02), as well as significantly smaller GMV in the right hippocampus (0.29±0.07, 0.33±0.06), bilateral middle frontal gyrus (left: 0.27±0.05, 0.31±0.05; right: 0.28±0.06, 0.32±0.06), right insula (0.36±0.03, 0.38±0.04), and left precentral gyrus (0.19±0.04, 0.24±0.05) ( F=4.593-12.064, all P<0.05, FDR correction). GMV in the right anterior cingulate and paracingulate gyri was significantly larger than that in the SLE-non-depression group (0.34±0.05, 0.29±0.06) ( F=6.704, P=0.034, FDR correction). Partial correlation analysis revealed significantly stronger correlations between hub DEGs and altered brain regions in the SLE-depression group ( r=0.017-0.801) compared to the SLE-non-depression group ( r=0.002-0.382), with a statistically significant difference ( U=629, P<0.001; Cliff's Delta=0.454). GSEA indicated that the aforementioned genes were primarily involved in pathways including the ribosome, spliceosome, ribosome biogenesis in eukaryotes, and neuroactive ligand-receptor interaction. Sensitivity analysis confirmed that the above results remained statistically significant after balancing sample sizes (all P<0.05). Conclusion:The SLE-depression group showed specific RNA expression and brain structure alterations compared to the SLE-non-depression group, and the correlation between RNA and brain structure was significantly enhanced in the SLE-depression group. This suggests that the correlation between genes and brain structure in the SLE population may be related to their susceptibility to depression.

Objective:To explore the application of the semi-flipped classroom combined with knowledge point auction learning method in the theoretical teaching among stomatological students and its effectiveness.Methods:Undergraduates from four classes at Guanghua School of Stomatology, Sun Yat-Sen University were taken as research subjects. Students from two classes ( n=198) were taught using the semi-flipped classroom combined with the knowledge point auction learning method, while students from the other two classes ( n=172) were taught with the regular classroom teaching method as controls. Classroom quizzes were used to compare the two classes' mastery of important and difficult points, and a questionnaire was used to investigate students' feedback on the class outcomes. SPSS 22.0 was used for the independent samples t-test. Results:The mean test score of the experimental class was higher than that of the control class (88.51±11.02 vs. 80.40±8.53). The results of the questionnaire showed that students' interest in the course, comprehension and absorption of knowledge points, degree of satisfaction with the class, and mastery of the contents in sections in the experimental class were significantly higher than those in the control class (7.28±1.51 vs. 9.10±0.73, 6.92±1.44 vs. 8.69±1.62, 6.09±1.87 vs. 7.61±1.46, 6.40±1.04 vs. 7.70±0.86 ).Conclusions:The semi-flipped classroom combined with the knowledge point auction learning method is innovative and achieves good teaching outcomes. It holds promise for wider use in the theoretical teaching of various clinical subjects. To explore the application of the semi-flipped classroom combined with knowledge point auction learning method in the theoretical teaching among stomatological students and its effectiveness.

Metabolic heterogeneity plays a central role in sustaining uncontrolled cancer cell proliferation and shaping the tumor microenvironment(TME),which significantly compromises the clinical outcomes and responses to therapy in head and neck squamous cell carcinoma(HNSCC)patients.This highlights the urgent need to delineate the intrinsic heterogeneity and biological roles of metabolic vulnerabilities to advance precision oncology.The metabolic heterogeneity of malignant cells was identified using single-cell RNA sequencing(scRNA-seq)profiles and validated through bulk transcriptomes.Serine-glycine-one-carbon(SGOC)metabolism was screened out to be responsible for the aggressive malignant properties and poor prognosis in HNSCC patients.A 4-SGOC gene prognostic signature,constructed by LASSO-COX regression analysis,demonstrated good predictive performance for overall survival and therapeutic responses.Patients in the low-risk group exhibited greater infiltration of exhausted CD8+T cells,and demonstrated better clinical outcomes after receiving immunotherapy and chemotherapy.Conversely,high-risk patients exhibited characteristics of cold tumors,with enhanced IMPDH1-mediated purine biosynthesis,resulting in poor responses to current therapies.IMPDH1 emerged as a potential therapeutic metabolic target.Treatment with IMPDH inhibitors effectively suppressed HNSCC cell proliferation and metastasis and induced apoptosis in vitro and in vivo by triggering GTP-exhaustion nucleolar stress.Our findings underscore the metabolic vulnerabilities of HNSCC in facilitating accurate patient stratification and individualized precise metabolic-targeted treatment.

Metabolic heterogeneity plays a central role in sustaining uncontrolled cancer cell proliferation and shaping the tumor microenvironment(TME),which significantly compromises the clinical outcomes and responses to therapy in head and neck squamous cell carcinoma(HNSCC)patients.This highlights the urgent need to delineate the intrinsic heterogeneity and biological roles of metabolic vulnerabilities to advance precision oncology.The metabolic heterogeneity of malignant cells was identified using single-cell RNA sequencing(scRNA-seq)profiles and validated through bulk transcriptomes.Serine-glycine-one-carbon(SGOC)metabolism was screened out to be responsible for the aggressive malignant properties and poor prognosis in HNSCC patients.A 4-SGOC gene prognostic signature,constructed by LASSO-COX regression analysis,demonstrated good predictive performance for overall survival and therapeutic responses.Patients in the low-risk group exhibited greater infiltration of exhausted CD8+T cells,and demonstrated better clinical outcomes after receiving immunotherapy and chemotherapy.Conversely,high-risk patients exhibited characteristics of cold tumors,with enhanced IMPDH1-mediated purine biosynthesis,resulting in poor responses to current therapies.IMPDH1 emerged as a potential therapeutic metabolic target.Treatment with IMPDH inhibitors effectively suppressed HNSCC cell proliferation and metastasis and induced apoptosis in vitro and in vivo by triggering GTP-exhaustion nucleolar stress.Our findings underscore the metabolic vulnerabilities of HNSCC in facilitating accurate patient stratification and individualized precise metabolic-targeted treatment.

Objective To observe the effects of different antithrombotic interventions on the changes of plasma lysophosphatidic acid (LPA) level in patients with nonvalvular atrial fibrillation (NVAF) and to provide the basis for clinical antithrombotic therapy. Methods A total of 235 patients with NVAF who did not receive antithrombotic therapy diagnosed by clinical and auxiliary examinations were randomly allocated to receive aspirin (100 mg/d) plus dipyridamole (100 mg/d) (n =76), aspirin (100 mg/d) plus fixed-dose warfarin (1.25 mg/d) (n =79), and dose-adjusted warfarin (international normalized ratio (INR) range of 1.5 to 2. 1) (n =80). They gore redivided into <60, 60-75, and ≥76 year-old groups according to their age. The plasma LPA levels were measured and compared before treatment and 2 and 6 weeks after treatment. Results 1he plasma LPA levels were decreased more significantly in the aspirin plus fixed-dose group than those in the aspirin plus dipyridamole and dose-adjusted warfarin groups (all P < 0.01). Two and 6 weeks after treatment with aspirin plus dipyridamole in the < 60 year-old group, the plasma LPA levels were significantly lower than those before treatment (all P<0. 01). Two and6 weeks after treatment with aspirin plus fixed-dose warfarin in the < 60 year-old group, the plasma LPA levels were significantly lower than those before treatment (all P <0. 01). Two and 6 weeks after treatment with aspirin plus fixed-dose warfarin in the 60-75 year-old group, the plasma LPA levels were significantly lover than those before treatment (all P <0.01). Two and 6 weeks after the treatment with dose-adjusted warfarin (INR 1.5-2. 1) in patients in each age group, the plasma LPA levels were significantly lower than those before treatment. Conclusions 1he different antithromhotic therapeutic modalities have different effects on platelet activation in patients with NVAF in different age groups. The patients in the < 60 year-old group can receive aspirin plus dipyridamole, the patients in the < 75 year-old group can receive aspirin plus fix-dose warfarin, and the patients > 75 year-old, dose-adjusted warfarin (INR 1. 5-2. 1) should he recommend.

Objective To investigate the changes of plasma lysephosphatidic acid (LPA) or acidic phospholipids (AP) levels in patients with nonvalvular atrial fibrillation(NVAF) or NVAF associated with silent brain infarction (SBI) and to provide biochemistry evidence to antithrombotic therapy. Methods Plasma LPA/AP levels was examined in blood freshly sampled in 235 cases of NVAF who were not receiving any antithrombotic therapy, 116 cases SBI who were not with NVAF and 120 cases healthy volunteers as control enrolled in the LPA and stroke prevention study. Plasma LPA was assayed by measuring its inorganic phosphorus after separation by chromatograph. Meanwhile, the platelet activation in NVAF or (and) SBI were observed. Results SBI was found in 31.5% of the participants with NVAF, and in 37.6% of the elderly NVAF subjects (age60 years old). LPA/AP levels were significantly increased in NVAF with SBI group((3.78±0.61) μmol/L) compared with controls ((2.66±0.49) μmol/L, 95% CI 3.47-4.21,P = 0.000), NVAF without SBI group ((3.29±0.57) μmol/L, 95 % CI 3.01-3.76, P = 0.008), SBI without NVAF group((3.17±0.54) μmol/L, P=0.004). The platelet activation was significantly higherin NVAF with SBI group, the odds ratio (95% CI) was 21.39(10.17 to 45.02),than those in NVAF without SBI group (P<0.01). Conclusion The plasma LPA/AP levels were significantly elevated in NVAF or NVAF with SBI, NVAF contributes to the risk of SBI. Platelet activation may play an important role in the pathogenesis of thromboembolism in NVAF and the measurement of LPA reflects activation of platelets in vivo and may be a useful marker for the diagnosis of thrombosis or prothrombotic states.Consideration of the role of antiplatelet therapy should be given when choosing antithrombotic therapy to NVAF-associated ischemic stroke.