Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)levels.Based on the Hangzhou Birth Cohort Study,1...Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)levels.Based on the Hangzhou Birth Cohort Study,1059 participants were included,and eleven metals in whole blood samples and serum IgA,IgG,IgE and IgM levels were measured.Linear regression,quantile-based g-computation(QGC),and Bayesian kernel machine regression(BKMR)models were used to evaluate the associations.Compared with the first tertile of metal levels,arsenic(As)was negatively associated with IgE(β=-0.25,95%confidence interval(CI)=-0.48 to-0.02).Moreover,significant associations of manganese(Mn)with IgA,IgG and IgM were demonstrated(β=0.10,95%CI=0.04 to 0.18;β=0.07,95%CI=0.03 to 0.12;β=0.10,95%CI=0.03 to 0.18,respectively).Cadmium(Cd)were associated with higher levels of IgM.QGC models showed the positive association of the metalmixtures with IgA and IgG,with Mn playing amajor role.Mn and Cd had positive contributions to IgM,while As had negative contributions to IgE.In the BKMR models,the latent continuous outcomes of IgA and IgG showed a significant increase when all the metals were at their 60th percentile or above compared to those at their 50th percentile.Therefore,exposure to metals was associated with maternal Igs,and mainly showed that Mn was associated with increased levels of IgA,IgG and IgM,and As was associated with low IgE levels.展开更多
Previous studies have suggested that abnormal hepatobiliary system function may contribute to poor prognosis in patientswith acute coronary syndrome(ACS)and that abnormal hepatobiliary system function may be associate...Previous studies have suggested that abnormal hepatobiliary system function may contribute to poor prognosis in patientswith acute coronary syndrome(ACS)and that abnormal hepatobiliary system function may be associated with per-and polyfluoroalkyl substances(PFAS)exposure.However,there is limited evidence for this association in cardiovascular subpopulations,particularly in the ACS patients.Therefore,we performed this study to evaluate the association between plasma PFAS exposure and hepatobiliary system function biomarkers in patients with ACS.This study included 546 newly diagnosed ACS patients at the Second Hospital of Hebei Medical University,and data on 15 hepatobiliary system function biomarkers were obtained from medical records.Associations between single PFAS and hepatobiliary system function biomarkers were assessed using multiple linear regression models and restricted cubic spline model(RCS),and mixture effects were assessed using the Quantile g-computation model.The results showed that total bile acids(TBA)was negative associated with perfluorohexane sulfonic acid(PFHxS)(-7.69%,95%CI:-12.15%,-3.01%).According to the RCS model,linear associations were found between TBA and PFHxS(P for overall=0.003,P for non-linear=0.234).We also have observed the association between between PFAS congeners and liver enzyme such as aspartate aminotransferase(AST)and α-l-Fucosidase(AFU),but it was not statistically significant after correction.In addition,Our results also revealed an association between prealbumin(PA)and PFAS congeners as well as mixtures.Our findings have provided a piece of epidemiological evidence on associations between PFAS congeners or mixture,and serum hepatobiliary system function biomarkers in ACS patients,which could be a basis for subsequent mechanism studies.展开更多
Objective This study aimed to investigate the potential relationship between urinary metals copper(Cu),arsenic(As),strontium(Sr),barium(Ba),iron(Fe),lead(Pb)and manganese(Mn)and grip strength.Methods We used linear re...Objective This study aimed to investigate the potential relationship between urinary metals copper(Cu),arsenic(As),strontium(Sr),barium(Ba),iron(Fe),lead(Pb)and manganese(Mn)and grip strength.Methods We used linear regression models,quantile g-computation and Bayesian kernel machine regression(BKMR)to assess the relationship between metals and grip strength.Results In the multimetal linear regression,Cu(β=−2.119),As(β=−1.318),Sr(β=−2.480),Ba(β=0.781),Fe(β=1.130)and Mn(β=−0.404)were significantly correlated with grip strength(P<0.05).The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was−1.007(95%confidence interval:−1.362,−0.652;P<0.001)when each quartile of the mixture of the seven metals was increased.Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength,with Cu,As and Sr being negatively associated with grip strength levels.In the total population,potential interactions were observed between As and Mn and between Cu and Mn(P_(interactions) of 0.003 and 0.018,respectively).Conclusion In summary,this study suggests that combined exposure to metal mixtures is negatively associated with grip strength.Cu,Sr and As were negatively correlated with grip strength levels,and there were potential interactions between As and Mn and between Cu and Mn.展开更多
The association between the exposure of organochlorine pesticides(OCPs)and serum uric acid(UA)levels remained uncertain.In this study,to investigate the combined effects of OCP mixtures on hyperuricemia,we analyzed se...The association between the exposure of organochlorine pesticides(OCPs)and serum uric acid(UA)levels remained uncertain.In this study,to investigate the combined effects of OCP mixtures on hyperuricemia,we analyzed serum OCPs and UA levels in adults from the National Health and Nutrition Examination Survey(2005–2016).Four statistical models including weighted logistic regression,weighted quantile sum(WQS),quantile g-computation(QGC),and bayesian kernel machine regression(BKMR)were used to assess the relationship between mixed chemical exposures and hyperuricemia.Subgroup analyses were conducted to explore potential modifiers.Among 6,529 participants,the prevalence of hyperuricemia was 21.15%.Logistic regression revealed a significant association between both hexachlorobenzene(HCB)and trans-nonachlor and hyperuricemia in the fifth quintile(OR:1.54,95%CI:1.08–2.19;OR:1.58,95%CI:1.05–2.39,respectively),utilizing the first quintile as a reference.WQS and QGC analyses showed significant overall effects of OCPs on hyperuricemia,with an OR of 1.25(95%CI:1.09–1.44)and 1.20(95%CI:1.06–1.37),respectively.BKMR indicated a positive trend between mixed OCPs and hyperuricemia,with HCB having the largest weight in all three mixture analyses.Subgroup analyses revealed that females,individuals aged 50 years and above,and those with a low income were more vulnerable to mixed OCP exposure.These results highlight the urgent need to protect vulnerable populations from OCPs and to properly evaluate the health effects of multiple exposures on hyperuricemia using mutual validation approaches.展开更多
Exposure to metals may potentially impact cognitive health in the elderly;however,the evidence remains ambiguous.The specific role of serum folate in this relationship is also unclear.We aimed to evaluate the individu...Exposure to metals may potentially impact cognitive health in the elderly;however,the evidence remains ambiguous.The specific role of serum folate in this relationship is also unclear.We aimed to evaluate the individual and joint impact of metals on cognition in the elderly from the United States and explore the potential mediating effect of serum folate.Data from the NHANES 2011-2014 were used,with inductively coupled plasma mass spectrometry(ICP-MS)employed to measure blood metal concentrations.Cognitive function was assessed using tests for immediate,delayed,and working memory:Immediate Recall test(IRT),the Delayed Recall test(DRT),the Animal Fluency test(AFT),and the Digit Symbol Substitution test(DSST).Generalized linear regression models(GLMs),Bayesian kernel machine regression model(BKMR),and quantile g-computation(QG-C)models were used to assess associations between metals(lead,cadmium,mercury,selenium,manganese)and cognition,with mediation analyses examining serum folate’s involvement in metal effects.This study included 2002 participants aged≥60.GLMs revealed the negative association between cadmium and the z-scores of IRT(β:-0.17,95%CI:-0.30,-0.04)and DSST(β:-0.15,95%CI:-0.27,-0.04),with negative effects also observed in the BKMR and QG-C models.Selenium displayed significantly positive association with cognition across various statistical models,including GLMs,QG-C,and BKMR.Serum folate played a mediating role in the effects of cadmium and selenium exposure on DSST z-scores,with a proportion of mediation of 17%and 10%,respectively.Our study assessed the impact of metal mixtures on cognition in the elderly population,finding that high selenium level was strongly associated with better cognitive performance,while cadmium was associated with lower cognitive function scores.Serum folate might partially mediate the association between cadmium,selenium,and DSST z-scores.展开更多
To improve the precision of estimation and power of testing hypothesis for an unconditional treatment effect in randomized clinical trials with binary outcomes,researchers and regulatory agencies recommend using g com...To improve the precision of estimation and power of testing hypothesis for an unconditional treatment effect in randomized clinical trials with binary outcomes,researchers and regulatory agencies recommend using g computation as a reliable method of covariate adjustment.How-ever,the practical application of g-computation is hindered by the lack of an explicit robust variance formula that can be used for different unconditional treatment effects of interest.To fill this gap,we provide explicit and robust variance estimators for g-computation estimators and demonstrate through simulations that the variance estimators can be reliably applied in practice.展开更多
基金supported by the National Natural Science Foundation of China(No.U22A20358)Zhejiang Provincial Program for the Cultivation of High-Level Innovative Health Talents(No.2020-18).
文摘Metal may affect maternal immune function,but few epidemiological studies have reported the associations between multiple-metal exposure and maternal immunoglobulin(Ig)levels.Based on the Hangzhou Birth Cohort Study,1059 participants were included,and eleven metals in whole blood samples and serum IgA,IgG,IgE and IgM levels were measured.Linear regression,quantile-based g-computation(QGC),and Bayesian kernel machine regression(BKMR)models were used to evaluate the associations.Compared with the first tertile of metal levels,arsenic(As)was negatively associated with IgE(β=-0.25,95%confidence interval(CI)=-0.48 to-0.02).Moreover,significant associations of manganese(Mn)with IgA,IgG and IgM were demonstrated(β=0.10,95%CI=0.04 to 0.18;β=0.07,95%CI=0.03 to 0.12;β=0.10,95%CI=0.03 to 0.18,respectively).Cadmium(Cd)were associated with higher levels of IgM.QGC models showed the positive association of the metalmixtures with IgA and IgG,with Mn playing amajor role.Mn and Cd had positive contributions to IgM,while As had negative contributions to IgE.In the BKMR models,the latent continuous outcomes of IgA and IgG showed a significant increase when all the metals were at their 60th percentile or above compared to those at their 50th percentile.Therefore,exposure to metals was associated with maternal Igs,and mainly showed that Mn was associated with increased levels of IgA,IgG and IgM,and As was associated with low IgE levels.
基金supported by the National Natural Science Foundation of China(No.21976050)the Science and Technology Program of Hebei Province(No.21377779D)+3 种基金the Natural Science Foundation of Hebei Province(No.B2020206008)China Postdoctoral Science Foundation(Nos.2023M730317 and 2023T160066)the Fundamental Research Funds for the Central Universities(No.3332023042)the Open Project of Hebei Key Laboratory of Environment and Human Health(No.202301).
文摘Previous studies have suggested that abnormal hepatobiliary system function may contribute to poor prognosis in patientswith acute coronary syndrome(ACS)and that abnormal hepatobiliary system function may be associated with per-and polyfluoroalkyl substances(PFAS)exposure.However,there is limited evidence for this association in cardiovascular subpopulations,particularly in the ACS patients.Therefore,we performed this study to evaluate the association between plasma PFAS exposure and hepatobiliary system function biomarkers in patients with ACS.This study included 546 newly diagnosed ACS patients at the Second Hospital of Hebei Medical University,and data on 15 hepatobiliary system function biomarkers were obtained from medical records.Associations between single PFAS and hepatobiliary system function biomarkers were assessed using multiple linear regression models and restricted cubic spline model(RCS),and mixture effects were assessed using the Quantile g-computation model.The results showed that total bile acids(TBA)was negative associated with perfluorohexane sulfonic acid(PFHxS)(-7.69%,95%CI:-12.15%,-3.01%).According to the RCS model,linear associations were found between TBA and PFHxS(P for overall=0.003,P for non-linear=0.234).We also have observed the association between between PFAS congeners and liver enzyme such as aspartate aminotransferase(AST)and α-l-Fucosidase(AFU),but it was not statistically significant after correction.In addition,Our results also revealed an association between prealbumin(PA)and PFAS congeners as well as mixtures.Our findings have provided a piece of epidemiological evidence on associations between PFAS congeners or mixture,and serum hepatobiliary system function biomarkers in ACS patients,which could be a basis for subsequent mechanism studies.
基金supported by the National Natural Science Foundation of China[rant Nos.81960583,81760577,81560523 and 82260629]Major Science and Technology Projects in Guangxi[GKAA22399 and AA22096026]+3 种基金the Guangxi Science and Technology Development Project[Grant Nos.AD 17129003 and 18050005]the Guangxi Natural Science Foundation for Innovation Research Team[2019GXNSFGA245002]the Innovation Platform and Talent Plan in Guilin[20220120-2]the Guangxi Scholarship Fund of Guangxi Education Department of China。
文摘Objective This study aimed to investigate the potential relationship between urinary metals copper(Cu),arsenic(As),strontium(Sr),barium(Ba),iron(Fe),lead(Pb)and manganese(Mn)and grip strength.Methods We used linear regression models,quantile g-computation and Bayesian kernel machine regression(BKMR)to assess the relationship between metals and grip strength.Results In the multimetal linear regression,Cu(β=−2.119),As(β=−1.318),Sr(β=−2.480),Ba(β=0.781),Fe(β=1.130)and Mn(β=−0.404)were significantly correlated with grip strength(P<0.05).The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was−1.007(95%confidence interval:−1.362,−0.652;P<0.001)when each quartile of the mixture of the seven metals was increased.Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength,with Cu,As and Sr being negatively associated with grip strength levels.In the total population,potential interactions were observed between As and Mn and between Cu and Mn(P_(interactions) of 0.003 and 0.018,respectively).Conclusion In summary,this study suggests that combined exposure to metal mixtures is negatively associated with grip strength.Cu,Sr and As were negatively correlated with grip strength levels,and there were potential interactions between As and Mn and between Cu and Mn.
基金funded by the National Nature Science Foundation of China(82173613,82373681)the Scientific Project of Shanghai Municipal Health Commission(202140018).
文摘The association between the exposure of organochlorine pesticides(OCPs)and serum uric acid(UA)levels remained uncertain.In this study,to investigate the combined effects of OCP mixtures on hyperuricemia,we analyzed serum OCPs and UA levels in adults from the National Health and Nutrition Examination Survey(2005–2016).Four statistical models including weighted logistic regression,weighted quantile sum(WQS),quantile g-computation(QGC),and bayesian kernel machine regression(BKMR)were used to assess the relationship between mixed chemical exposures and hyperuricemia.Subgroup analyses were conducted to explore potential modifiers.Among 6,529 participants,the prevalence of hyperuricemia was 21.15%.Logistic regression revealed a significant association between both hexachlorobenzene(HCB)and trans-nonachlor and hyperuricemia in the fifth quintile(OR:1.54,95%CI:1.08–2.19;OR:1.58,95%CI:1.05–2.39,respectively),utilizing the first quintile as a reference.WQS and QGC analyses showed significant overall effects of OCPs on hyperuricemia,with an OR of 1.25(95%CI:1.09–1.44)and 1.20(95%CI:1.06–1.37),respectively.BKMR indicated a positive trend between mixed OCPs and hyperuricemia,with HCB having the largest weight in all three mixture analyses.Subgroup analyses revealed that females,individuals aged 50 years and above,and those with a low income were more vulnerable to mixed OCP exposure.These results highlight the urgent need to protect vulnerable populations from OCPs and to properly evaluate the health effects of multiple exposures on hyperuricemia using mutual validation approaches.
基金supported by the National Natural Science Foundation of China(No.81973007).
文摘Exposure to metals may potentially impact cognitive health in the elderly;however,the evidence remains ambiguous.The specific role of serum folate in this relationship is also unclear.We aimed to evaluate the individual and joint impact of metals on cognition in the elderly from the United States and explore the potential mediating effect of serum folate.Data from the NHANES 2011-2014 were used,with inductively coupled plasma mass spectrometry(ICP-MS)employed to measure blood metal concentrations.Cognitive function was assessed using tests for immediate,delayed,and working memory:Immediate Recall test(IRT),the Delayed Recall test(DRT),the Animal Fluency test(AFT),and the Digit Symbol Substitution test(DSST).Generalized linear regression models(GLMs),Bayesian kernel machine regression model(BKMR),and quantile g-computation(QG-C)models were used to assess associations between metals(lead,cadmium,mercury,selenium,manganese)and cognition,with mediation analyses examining serum folate’s involvement in metal effects.This study included 2002 participants aged≥60.GLMs revealed the negative association between cadmium and the z-scores of IRT(β:-0.17,95%CI:-0.30,-0.04)and DSST(β:-0.15,95%CI:-0.27,-0.04),with negative effects also observed in the BKMR and QG-C models.Selenium displayed significantly positive association with cognition across various statistical models,including GLMs,QG-C,and BKMR.Serum folate played a mediating role in the effects of cadmium and selenium exposure on DSST z-scores,with a proportion of mediation of 17%and 10%,respectively.Our study assessed the impact of metal mixtures on cognition in the elderly population,finding that high selenium level was strongly associated with better cognitive performance,while cadmium was associated with lower cognitive function scores.Serum folate might partially mediate the association between cadmium,selenium,and DSST z-scores.
基金This work was supported by National Institute of Allergy and Infectious Diseases[NIAID 5 UM1 AI068617].
文摘To improve the precision of estimation and power of testing hypothesis for an unconditional treatment effect in randomized clinical trials with binary outcomes,researchers and regulatory agencies recommend using g computation as a reliable method of covariate adjustment.How-ever,the practical application of g-computation is hindered by the lack of an explicit robust variance formula that can be used for different unconditional treatment effects of interest.To fill this gap,we provide explicit and robust variance estimators for g-computation estimators and demonstrate through simulations that the variance estimators can be reliably applied in practice.
