Objective: To explore the effects of Cldn14 gene knockout on renal metabolism and stone formation in rats，so as to provide reference for research in the field of urinary calium metabolism and stone formation. Methods: Cldn14 gene knockout homozygous rats and wild-type rats of the same age were randomly divided into 4 groups：wild-type control (WC) group，wild-type ethylene glycol (WE) group，gene knockout control (KC) group and gene knockout ethylene glycol (KE) group，with 10 rats in each group.The WE and KE groups were induced with ethylene glycol + ammonium chloride to form kidney stones，while the WC and KC groups received normal saline gavage.After 4 weeks of standard maintenance feeding，the urine samples were collected to detect the venous blood.The kidneys were collected for HE，Pizzolatto's staining and transmission electron microscopy.The protein in renal tissues was extracted to detect the expressions of Claudin16 and Claudin19. Results: Crystal deposition was observed in the renal tubular lumen of the WE and the KE groups，and more crystals were detected in the KE group.The WE group had a large number of intracytoplasmic black crystalline inclusions observed in renal tubular epithelial cells under transmission electron microscope，followed by the KE and KC groups.Compared with WC and WE groups，KC and KE groups had significantly decreased serum calcium and magnesium levels but significantly increased urinary calcium level.In addition，the urinary calcium level was higher in the WE group than in the WC group and higher in the KE group than in the KC group.The KE group had lower level of Claudin16，but there was no significant difference in the level of Claudin19 among the 4 groups(P>0.05). Conclusion: Knockout of Cldn14 gene alone cannot effectively reduce urinary calcium excretion or reduce the risk of stone formation in rats，which may be related to the decrease of Claudin16 level.

Objective: To investigate the current status and influencing factors for cognitive frailty among the elderly in community, so as to provide the evidence for early identification and prevention of cognitive frailty among the elderly. Methods: Residents aged 60 years and above with local household registration from 11 counties (cities, districts) in Zhejiang Province from 2021 to 2023 were selected as study participants using a multistage random sampling method. Demographic information, lifestyle, and health status were collected through questionnaire surveys. Depressive symptoms were assessed using the Patient Health Questionnaire. Cognitive frailty was evaluated using the FRAIL Scale and the Mini-Mental State Examination. Factors affecting cognitive frailty among the elderly in community were identified using a multivariable logistic regression model. Results: A total of 16 613 individuals were surveyed, including 7 465 males (44.93%) and 9 148 females (55.07%). The average age was (70.97±7.29) years. A total of 784 individuals were detected with depressive symptoms, with a detection rate of 4.72%. A total of 724 individuals were detected with cognitive frailty, with a detection rate of 4.36%. Multivariable logistic regression analysis showed that females (OR=1.419, 95%CI: 1.179-1.708), aged ≥70 years (70-<80 years old, OR=1.869, 95%CI: 1.490-2.345; ≥80 years old, OR=5.017, 95%CI: 3.935-6.398), without a spouse (OR=1.495, 95%CI: 1.234-1.810), sedentary (OR=2.420, 95%CI: 1.829-3.202), chronic diseases (1 type, OR=1.456, 95%CI: 1.175-1.804; ≥2 types, OR=1.639, 95%CI: 1.314-2.045), and depressive symptoms (OR=4.191, 95%CI: 3.361-5.225) were associated with a higher risk of cognitive frailty among the elderly in community. Conversely, a lower risk of cognitive frailty was seen among the elderly in community who had primary school or above (primary school, OR=0.512, 95%CI: 0.389-0.676; junior high school or above, OR=0.464, 95%CI: 0.354-0.608), engaged in physical exercise (OR=0.396, 95%CI: 0.291-0.539), and were reported average or good self-rated health status (average, OR=0.641, 95%CI: 0.475-0.866; good, OR=0.150, 95%CI: 0.109-0.208). Conclusions The detection rate of cognitive frailty among the elderly in community is relatively low and is influenced by demographic factors such as gender, age, education level, as well as lifestyle like sedentary and physical exercise, and health status. It is recommended to reduce the risk of cognitive frailty among the elderly through multidimensional interventions, including health education, promotion of healthy lifestyles, and enhanced mental health support.

Objective: To establish a nomogram prediction model for Alzheimer's disease (AD) among the elderly in community, so as to provide the evidence for early screening and prevention of AD. Methods: Based on the Zhejiang Healthy Aging Cohort Study, the elderly aged 60-90 years who completed the baseline survey were selected as the study subjects. Follow-up surveys were conducted from 2015 to 2016 and from 2019 to 2021. Sociodemographic characteristics, lifestyle factors, medical history, and waist circumference were collected through questionnaire surveys and physical examinations. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), and a diagnosis of AD was made based on the Alzheimer's Disease Assessment Scale-Cognitive Subscale and medical history. The participants were randomly divided into training and validation sets at 8∶2 ratio. LASSO regression was used to screen for predictive factors. Multivariable logistic regression model was used to analyze predictive factors and construct a nomogram. The model was analyzed and evaluated using the receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 6 988 elderly were included at baseline, with a mean age of (68.19±6.63) years. There were 3 438 males (49.20%), and 3 550 females (50.80%). The median follow-up duration was 4.90 (interquartile range, 3.80) years, with 817 new cases of AD were identified, yielding an incidence of 11.69%. LASSO regression and multivariable logistic regression showed that age (OR=1.017, 95%CI: 1.005-1.030), gender (female, OR=1.820, 95%CI: 1.533-2.165), educational level (primary school, OR=0.813, 95%CI: 0.673-0.980), physical exercise (not active, OR=1.572, 95%CI: 1.260-1.980), dining companions (spouse and children, OR=0.771, 95%CI: 0.598-0.995), baseline MMSE score (OR=0.843, 95%CI: 0.821-0.866), and waist circumference (OR=0.981, 95%CI: 0.973-0.989) were risk predictors for AD among the elderly in community. The prediction model demonstrated an area under the ROC curve of 0.740 (95%CI: 0.698-0.783) in the validation set, with a sensitivity of 0.731 and a specificity of 0.667. DCA indicated that when the probability threshold was 0.060 to 0.325, the clinical net benefit was relatively high. Conclusion The AD risk prediction model constructed in this study has good discrimination and clinical practicability, can be used for early screening of AD among the elderly in the community.

In most types of erectile dysfunction, particularly in advanced stages, typical pathological features observed are reduced parenchymal cells coupled with increased tissue fibrosis. However, the current treatment methods have shown limited success in reversing these pathologic changes. Recent research has revealed that changes in autophagy levels, along with alterations in apoptosis and fibrosis-related proteins, are linked to the progression of erectile dysfunction, suggesting a significant association. Autophagy, known to significantly affect cell fate and tissue fibrosis, is currently being explored as a potential treatment modality for erectile dysfunction. However, these present studies are still in their nascent stage, and there are limited experimental data available. This review analyzes erectile dysfunction from a pathological perspective. It provides an in-depth overview of how autophagy is involved in the apoptotic processes of smooth muscle and endothelial cells and its role in the fibrotic processes occurring in the cavernosum. This study aimed to develop a theoretical framework for the potential effectiveness of autophagy in preventing and treating erectile dysfunction, thus encouraging further investigation among researchers in this area.
Male ; Humans ; Autophagy/physiology* ; Apoptosis/physiology* ; Erectile Dysfunction/physiopathology* ; Fibrosis ; Penis/pathology* ; Animals ; Endothelial Cells/pathology* ; Myocytes, Smooth Muscle/pathology*

Alzheimer's disease(AD)presents a notable gender disparity in prevalence among elderly individuals, with elderly women being a high-risk group for AD onset.Researches have confirmed the effects of estrogen on the nervous system and cognitive function through in vitro and animal models.Throughout their reproductive years, women undergo various life events such as menarche, menopause, pregnancy, childbirth, miscarriage, relevant surgeries, and medication, all of which can impact their endocrine status and subsequently influence brain function.As a result, there is a growing body of epidemiological evidence investigating the relationship between women's menstrual and reproductive factors and AD.Despite some controversies, this article offers a thorough review of current epidemiological research on the link between different menstrual and fertility factors in women and AD.

Objective:To analyze the current status and trends of lung cancer incidence and mortality in China and selected global regions, providing evidence for lung cancer prevention strategies in China.Methods:We extracted data from the GLOBOCAN 2022 database. Age-standardized Incidence rate (ASIR) and Age-standardized Mortality rate (ASMR) were calculated using Segi's world standard population. Epidemiological patterns were analyzed by region, age, sex, and human development index (HDI). Simple linear regression and Spearman's rank correlation coefficient were used to examine associations between HDI and ASIR/ASMR.Results:In 2022, global lung cancer incidence and mortality reached 2.48 million and 1.82 million cases respectively, with age-standardized rates of 23.6 per 100 000 (ASIR) and 16.8 per 100 000 (ASMR). Gender disparities were prominent, with male ASIR and ASMR being 2.0-fold and 2.5-fold higher than females. Elderly populations showed 11.6-fold higher ASIR and 14.4-fold higher ASMR compared to working-age adults. HDI demonstrated strong positive correlations with both ASIR ( r=0.79, P＜0.001) and ASMR ( r=0.74, P＜0.001). China accounted for 1.06 million new cases and 0.73 million deaths, with ASIR (40.8 per 100 000) and ASMR (26.7 per 100 000) exceeding global averages by 1.7-fold and 1.6-fold respectively. Chinese males showed 1.7-fold higher ASIR and 2.7-fold higher ASMR than females. Trend analysis revealed persistently high male incidence in China whereas rapidly increasing female rates, narrowing gender disparities. Projections estimate 1.80 million incident cases and 1.41 million deaths by 2050, representing 69.3% and 92.0% increases from 2022 levels. Conclusions:Significant heterogeneity exists in lung cancer burden across demographics and development levels, with strong HDI correlations. China bears disproportionate disease burden, necessitating intensified prevention efforts. These findings underscore the urgency of targeted interventions in high-risk populations.

Objective To analyze the effect of sodium cantharidinate and vitamin B6 injection(SCV)on four human hepatocellular carcinoma(HCC)cell lines(SMMC-7721,Bel-7402,Huh7,and HepG2)and explore its mechanism.Methods Normal hepatic cell line L02 was treated with SCV at concentrations of 0 μmol/L(control),0.5,1,2,4,8,16,and 32 μmol/L,and the cytotoxicity of SCV on L02 cells was detected using CCK-8 assay.Human HCC cell lines(SMMC-7721,Bel-7402,Huh7,and HepG2)were cultured.SCV-untreated control group(0 μmol/L)and 2,4,and 8 μmol/L SCV-treated groups were set up.CCK-8 assay,plate cloning formation assay,Transwell assay,wound healing assay,and flow cytometry were used to detect the effects of SCV on the growth and proliferation capacity,colony formation ability,invasion and migration capabilities,cell cycle,and apoptosis of the four hepatocellular carcinoma cell lines,respectively.Western blotting was performed to detect the expression levels of apoptosis-related proteins,including nuclear factor kappa-B subunit p65(p65),B-cell lymphoma 2(Bcl-2),and Caspase-3,and to preliminarily explore the underlying mechanism.Results The CCK-8 assay showed that SCV at 0.5,1,2,4,and 8 μmol/L had no significant cytotoxic effect on L02 cells compared with untreated control group,so 2,4,and 8 μmol/L SCV were selected for subsequent experiments.Compared with the untreated control group(0 μmol/L),SCV at different concentrations(2,4,and 8 μmol/L)significantly inhibited the proliferation of the four HCC cell lines(P<0.001).The plate cloning formation assay showed that SCV at different concentrations(2,4,and 8 μmol/L)significantly reduced the colony formation ability of the four HCC cell lines(P<0.05 or P<0.01 or P<0.001).In addition,Transwell and wound healing assays revealed that SCV at different concentrations(2,4,and 8 μmol/L)significantly inhibited the invasion and migration of HCC cells(P<0.05 or P<0.01 or P<0.001).In the above results,the inhibitory effect of SCV was concentration-dependent.Flow cytometry analysis indicated that SCV arrested cells in the G2/M phase(P<0.05 or P<0.01 or P<0.001)and significantly promoted cell apoptosis(P<0.05 or P<0.01 or P<0.001).Western blotting showed that SCV significantly down-regulated the expression of p65(P<0.05 or P<0.01)and Bcl-2(P<0.05),and up-regulated the expression of Caspase-3(P<0.05 or P<0.01).Conclusions SCV can significantly inhibit the proliferation,colony formation,invasion,and migration of multiple human HCC cell lines and arrest the cell cycle.SCV may inhibit the expression of p65 and Bcl-2,thereby lifting their inhibitory effect on the apoptotic pathway and activating Caspase-3 to promote apoptosis.

BACKGROUND:Studies have shown that gut microbiota may affect the progression of rheumatoid arthritis.However,the causal relationship between the two is unknown.Mendelian randomization analysis of the two using published Genome Wide Association Study(GWAS)data can explore the causal relationship between gut microbiota and rheumatoid arthritis,helping to develop targeted microbial therapies and provide methods and strategies for the prevention and treatment of rheumatoid arthritis.OBJECTIVE:To explore the potential causal relationship between gut microbiota and rheumatoid arthritis using two-sample two-way Mendelian randomization method.METHODS:Gut microbiota GWAS data from the MiBio-Gen consortium and rheumatoid arthritis GWAS data from the IEU Open GWAS database(a large gene-phenotype association database developed at the MRC Integrative Epidemiology Unit(IEU)at the University of Bristol,UK)were used.Inverse variance weighting was used as the main analysis method,and MR-Egger regression method,weighted median method,weighted model and simple model method were used as supplements to study the causal relationship between gut microbiota and rheumatoid arthritis.Heterogeneity was assessed using Cochran's Q test,horizontal pleiotropy was assessed using MR-PRESSO and MR-Egger intercept tests,robustness of results was tested using leave-one method,and reverse Mendelian randomization analysis was used to assess the presence or absence of reverse causality.RESULTS AND CONCLUSION:(1)There was a causal relationship between five kinds of enteric bacteria and rheumatoid arthritis.Ruminococcus gauvreauii group(β=0.262,odds ratio[OR]=1.300,P=0.013)and Butyricimonas(β=0.001,OR=1.001,P=0.014)increased the risk of rheumatoid arthritis,while Anaerostipes(β=-0.225,OR=0.798,P=0.025),Lachnospiraceae-UCG010(β=-0.177,OR=0.838,P=0.026)and Oxalobacter(β=-0.171,OR=0.843,P=0.001)reduced the risk of rheumatoid arthritis.Sensitivity analyses showed no significant heterogeneity or horizontal pleiotropy(all P＞0.05),and leave-one-out testing confirmed the robustness of the results,while the addition of the remaining four methods other than the inverse variance weighting method further validated the reliability and stability of the results.(2)Reverse Mendelian randomization analysis did not find a causal association between rheumatoid arthritis and the five kinds of enteric bacteria identified by Mendelian randomization analysis.These findings indicate that Ruminococcus gauvreauii group and Butyricimonas may be the risk factors of rheumatoid arthritis,while Anaerostipes,Lachnospiraceae-UCG010 and Oxalobacter may be the protective factors of rheumatoid arthritis.Gut microbiota may play an important role in the pathogenesis of rheumatoid arthritis,and provide new biomarkers for the prevention and treatment of rheumatoid arthritis.In addition,for the field of biomedical research in China,we can learn from international experience and gradually establish and improve a multi-center large-scale genetic database,so as to deeply explore the relationship between gut microbiota and disease risk,and promote the development of precision medicine and personalized treatment in China.

Objective:To analyze the current status and trends of lung cancer incidence and mortality in China and selected global regions, providing evidence for lung cancer prevention strategies in China.Methods:We extracted data from the GLOBOCAN 2022 database. Age-standardized Incidence rate (ASIR) and Age-standardized Mortality rate (ASMR) were calculated using Segi's world standard population. Epidemiological patterns were analyzed by region, age, sex, and human development index (HDI). Simple linear regression and Spearman's rank correlation coefficient were used to examine associations between HDI and ASIR/ASMR.Results:In 2022, global lung cancer incidence and mortality reached 2.48 million and 1.82 million cases respectively, with age-standardized rates of 23.6 per 100 000 (ASIR) and 16.8 per 100 000 (ASMR). Gender disparities were prominent, with male ASIR and ASMR being 2.0-fold and 2.5-fold higher than females. Elderly populations showed 11.6-fold higher ASIR and 14.4-fold higher ASMR compared to working-age adults. HDI demonstrated strong positive correlations with both ASIR ( r=0.79, P＜0.001) and ASMR ( r=0.74, P＜0.001). China accounted for 1.06 million new cases and 0.73 million deaths, with ASIR (40.8 per 100 000) and ASMR (26.7 per 100 000) exceeding global averages by 1.7-fold and 1.6-fold respectively. Chinese males showed 1.7-fold higher ASIR and 2.7-fold higher ASMR than females. Trend analysis revealed persistently high male incidence in China whereas rapidly increasing female rates, narrowing gender disparities. Projections estimate 1.80 million incident cases and 1.41 million deaths by 2050, representing 69.3% and 92.0% increases from 2022 levels. Conclusions:Significant heterogeneity exists in lung cancer burden across demographics and development levels, with strong HDI correlations. China bears disproportionate disease burden, necessitating intensified prevention efforts. These findings underscore the urgency of targeted interventions in high-risk populations.

BACKGROUND:Studies have shown that gut microbiota may affect the progression of rheumatoid arthritis.However,the causal relationship between the two is unknown.Mendelian randomization analysis of the two using published Genome Wide Association Study(GWAS)data can explore the causal relationship between gut microbiota and rheumatoid arthritis,helping to develop targeted microbial therapies and provide methods and strategies for the prevention and treatment of rheumatoid arthritis.OBJECTIVE:To explore the potential causal relationship between gut microbiota and rheumatoid arthritis using two-sample two-way Mendelian randomization method.METHODS:Gut microbiota GWAS data from the MiBio-Gen consortium and rheumatoid arthritis GWAS data from the IEU Open GWAS database(a large gene-phenotype association database developed at the MRC Integrative Epidemiology Unit(IEU)at the University of Bristol,UK)were used.Inverse variance weighting was used as the main analysis method,and MR-Egger regression method,weighted median method,weighted model and simple model method were used as supplements to study the causal relationship between gut microbiota and rheumatoid arthritis.Heterogeneity was assessed using Cochran's Q test,horizontal pleiotropy was assessed using MR-PRESSO and MR-Egger intercept tests,robustness of results was tested using leave-one method,and reverse Mendelian randomization analysis was used to assess the presence or absence of reverse causality.RESULTS AND CONCLUSION:(1)There was a causal relationship between five kinds of enteric bacteria and rheumatoid arthritis.Ruminococcus gauvreauii group(β=0.262,odds ratio[OR]=1.300,P=0.013)and Butyricimonas(β=0.001,OR=1.001,P=0.014)increased the risk of rheumatoid arthritis,while Anaerostipes(β=-0.225,OR=0.798,P=0.025),Lachnospiraceae-UCG010(β=-0.177,OR=0.838,P=0.026)and Oxalobacter(β=-0.171,OR=0.843,P=0.001)reduced the risk of rheumatoid arthritis.Sensitivity analyses showed no significant heterogeneity or horizontal pleiotropy(all P＞0.05),and leave-one-out testing confirmed the robustness of the results,while the addition of the remaining four methods other than the inverse variance weighting method further validated the reliability and stability of the results.(2)Reverse Mendelian randomization analysis did not find a causal association between rheumatoid arthritis and the five kinds of enteric bacteria identified by Mendelian randomization analysis.These findings indicate that Ruminococcus gauvreauii group and Butyricimonas may be the risk factors of rheumatoid arthritis,while Anaerostipes,Lachnospiraceae-UCG010 and Oxalobacter may be the protective factors of rheumatoid arthritis.Gut microbiota may play an important role in the pathogenesis of rheumatoid arthritis,and provide new biomarkers for the prevention and treatment of rheumatoid arthritis.In addition,for the field of biomedical research in China,we can learn from international experience and gradually establish and improve a multi-center large-scale genetic database,so as to deeply explore the relationship between gut microbiota and disease risk,and promote the development of precision medicine and personalized treatment in China.