Cognitive function in the elderly is affected by various environmental,social,and individual factors.Studies show that chemical trace elements are closely related to cognitive function.As a protective factor,selenium ...Cognitive function in the elderly is affected by various environmental,social,and individual factors.Studies show that chemical trace elements are closely related to cognitive function.As a protective factor,selenium promotes cognition in the elderly.However,study results into the effects of selenium on cognition have varied.By eliminating unstable environmental and other related factors,the present study selected elderly individuals from rural areas of the Shandong province to verify whether low selenium exposure is a risk factor for decreased cognitive function.Results demonstrated that age,sex,education,occupation,hypertension,stroke,and body selenium levels were factors affecting cognitive function in the elderly,and that selenium was an important protective factor.Moreover,results supported the hypothesis that a lifelong low selenium level is associated with low cognitive function.展开更多
This cross-sectional study aimed to examine the association between selenium levels and diabetes in an older population with life-long natural exposure to selenium in rural China. A total of 1856 subjects aged 65 year...This cross-sectional study aimed to examine the association between selenium levels and diabetes in an older population with life-long natural exposure to selenium in rural China. A total of 1856 subjects aged 65 years or older from four Chinese rural counties with different environmental selenium levels were evaluated. Analysis of covariance models and logistic regression models were used to examine the relationship between nail selenium levels and serum glucose, serum insulin, insulin resistance [using the Homeostatic Model Assessment for Insulin Resistance （HOMA-IR）], and the risk of diabetes. The mean nail selenium level was 0.461μg/g and the prevalence rate of diabetes was 8.3% in this population. The mean nail selenium level was significantly higher in the group with diabetes than in the group without diabetes （P〈0.0001）. The adjusted odds ratios for diabetes were 2.65 （95% Cl： 1.48 to 4.73）, 2.47 （95% CI： 1.37 to 4.45）, and 3.30 （95% Cl： 1.85 to 5.88） from the second selenium quartile to the fourth quartile, respectively, compared with the first quartile group. The mean serum glucose and HOMA-IR in the higher selenium quartile groups were significantly higher than those of the lowest quartile group. However, no significant differences in insulin were observed among the four quartile groups. A long-term, higher level of exposure to selenium may be associated with a higher risk of diabetes. Future studies are needed to elucidate the association between selenium and insulin resistance.展开更多
Background:Metallic biomaterials have transformed modern medicine,with copper(Cu),zinc(Zn),and selenium(Se)emerging as critical components in medical applications.The study of the single and synergistic effects of ser...Background:Metallic biomaterials have transformed modern medicine,with copper(Cu),zinc(Zn),and selenium(Se)emerging as critical components in medical applications.The study of the single and synergistic effects of serum metal concentrations on human health can provide valuable insights for future clinical transformation of biodegradable alloys.Methods:We evaluated 2381 NHANES 2011-2016 participants to study individual and combined effects of these metals on health outcomes.Multivariable logistic regression,restricted cubic splines,and piecewise linear regression were used to examine linear,nonlinear,and threshold relationships.Overall metal mixture effects were assessed using weighted quantile sum(WQS)and Bayesian kernel-machine regression(BKMR).Results:Elevated serum Cu levels were significantly associated with an increased risk of osteoarthritis.When Serum Cu≥99.48μg/dL,each 1-unit increase in Ln Cu raised diabetes risk 4.55-fold.For Se≥122.74μg/L,each 1-unit increase in Ln Se led to a 29.96-fold rise in diabetes prevalence,for Se<157.56μg/L it increased heart attack risk 165.19-fold.Furthermore,mixtures of Cu,Se,and Zn were positively associated with diabetes,hy-pertension,and heart attack risks;each unit increase in the mixture corresponded to a 23%rise in diabetes and a 15%rise in hypertension prevalence.Conclusions:Serum Cu levels≥99.48μg/dL are significantly linked to diabetes risk,while serum Se levels≥122.74μg/L are associated with diabetes risk and levels<157.56μg/L with elevated heart attack risk.Serum metal mixtures containing Cu,Se and Zn were significantly and positively associated with risk of diabetes,hy-pertension and heart attack.展开更多
基金the National Institutes of Health, USA, No. NIH R01 AG19181-01A2Shandong Medical and Health Development Project Fund, No. 200387
文摘Cognitive function in the elderly is affected by various environmental,social,and individual factors.Studies show that chemical trace elements are closely related to cognitive function.As a protective factor,selenium promotes cognition in the elderly.However,study results into the effects of selenium on cognition have varied.By eliminating unstable environmental and other related factors,the present study selected elderly individuals from rural areas of the Shandong province to verify whether low selenium exposure is a risk factor for decreased cognitive function.Results demonstrated that age,sex,education,occupation,hypertension,stroke,and body selenium levels were factors affecting cognitive function in the elderly,and that selenium was an important protective factor.Moreover,results supported the hypothesis that a lifelong low selenium level is associated with low cognitive function.
基金supported by the United States National Institutes of Health(R01 AG019181)
文摘This cross-sectional study aimed to examine the association between selenium levels and diabetes in an older population with life-long natural exposure to selenium in rural China. A total of 1856 subjects aged 65 years or older from four Chinese rural counties with different environmental selenium levels were evaluated. Analysis of covariance models and logistic regression models were used to examine the relationship between nail selenium levels and serum glucose, serum insulin, insulin resistance [using the Homeostatic Model Assessment for Insulin Resistance （HOMA-IR）], and the risk of diabetes. The mean nail selenium level was 0.461μg/g and the prevalence rate of diabetes was 8.3% in this population. The mean nail selenium level was significantly higher in the group with diabetes than in the group without diabetes （P〈0.0001）. The adjusted odds ratios for diabetes were 2.65 （95% Cl： 1.48 to 4.73）, 2.47 （95% CI： 1.37 to 4.45）, and 3.30 （95% Cl： 1.85 to 5.88） from the second selenium quartile to the fourth quartile, respectively, compared with the first quartile group. The mean serum glucose and HOMA-IR in the higher selenium quartile groups were significantly higher than those of the lowest quartile group. However, no significant differences in insulin were observed among the four quartile groups. A long-term, higher level of exposure to selenium may be associated with a higher risk of diabetes. Future studies are needed to elucidate the association between selenium and insulin resistance.
基金the National Natural Science Foundation of China(grant nos.32222042,82225031,82172464,82172453,81972086)the National Key Research and Development Program of China(2023YFC2509600)+1 种基金the Program of Shanghai Excellent Aca-demic Leader(grant no.22XD1401900)the Shanghai Shuguang Plan Project,and the Shanghai“Rising Stars of Medical Talent”Youth Development Program:Outstanding Youth Medical Talents.
文摘Background:Metallic biomaterials have transformed modern medicine,with copper(Cu),zinc(Zn),and selenium(Se)emerging as critical components in medical applications.The study of the single and synergistic effects of serum metal concentrations on human health can provide valuable insights for future clinical transformation of biodegradable alloys.Methods:We evaluated 2381 NHANES 2011-2016 participants to study individual and combined effects of these metals on health outcomes.Multivariable logistic regression,restricted cubic splines,and piecewise linear regression were used to examine linear,nonlinear,and threshold relationships.Overall metal mixture effects were assessed using weighted quantile sum(WQS)and Bayesian kernel-machine regression(BKMR).Results:Elevated serum Cu levels were significantly associated with an increased risk of osteoarthritis.When Serum Cu≥99.48μg/dL,each 1-unit increase in Ln Cu raised diabetes risk 4.55-fold.For Se≥122.74μg/L,each 1-unit increase in Ln Se led to a 29.96-fold rise in diabetes prevalence,for Se<157.56μg/L it increased heart attack risk 165.19-fold.Furthermore,mixtures of Cu,Se,and Zn were positively associated with diabetes,hy-pertension,and heart attack risks;each unit increase in the mixture corresponded to a 23%rise in diabetes and a 15%rise in hypertension prevalence.Conclusions:Serum Cu levels≥99.48μg/dL are significantly linked to diabetes risk,while serum Se levels≥122.74μg/L are associated with diabetes risk and levels<157.56μg/L with elevated heart attack risk.Serum metal mixtures containing Cu,Se and Zn were significantly and positively associated with risk of diabetes,hy-pertension and heart attack.
