Gastric cancer is the third leading cause of cancer-related mortality and remains a major global health issue^([1]).Annually,approximately 479,000individuals in China are diagnosed with gastric cancer,accounting for a...Gastric cancer is the third leading cause of cancer-related mortality and remains a major global health issue^([1]).Annually,approximately 479,000individuals in China are diagnosed with gastric cancer,accounting for almost 45%of all new cases worldwide^([2]).展开更多
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
Anemia is still prevalent among low and middle-income countries,posing serious family and social burdens.However,scarce studies provided evidence for real-world exposure to polycyclic aromatic hydrocarbons(PAHs)and an...Anemia is still prevalent among low and middle-income countries,posing serious family and social burdens.However,scarce studies provided evidence for real-world exposure to polycyclic aromatic hydrocarbons(PAHs)and anemia among pregnant women,as well as involved biological mechanisms.So,we conducted this study including 1717 late pregnant women fromZunyi Birth Cohort and collected urine samples for PAHs metabolites detection.Logistic regression and restricted cubic spline regression were used to examine exposuredisease risks and dose-response relationships.We conducted Bayesian kernel machine regression,weighted quantile sum regression,and quantile g-computation regression to fit the joint impacts of multiple PAHs in the real-world scenario on hypocalcemia and anemia.Results showed single exposure to 2-OHNap,2-OHFlu,9-OHFlu,1-OHPhe,2-OHPhe,3-OHPhe,and 1-OHPyr(all P-trend<0.05)increased the risks of hypocalcemia and anemia.Moreover,PAHs mixture was significantly related to higher risks of hypocalcemia and anemia,with 3-OHPhe and 1-OHPyr identified as their major drivers,respectively.Importantly,hypocalcemia served as a significant biological mechanism responsible for PAHs and anemia.Our findings suggest that individual and joint exposure to PAHs during late pregnancy elevate the anemia risk,and calcium supplementation might be a low-cost intervention target for reducing the PAHs-related impairment on anemia for pregnant women.展开更多
[背景]电焊工接触含多种金属的电焊烟尘引起肺功能下降,既往研究多集中于单一金属与肺功能间的关联,较少关注到金属混合暴露的肺功能健康损害。[目的]本研究旨在评估电焊工尿液和血液中多种金属浓度与肺功能指标间的关联,探讨影响肺功...[背景]电焊工接触含多种金属的电焊烟尘引起肺功能下降,既往研究多集中于单一金属与肺功能间的关联,较少关注到金属混合暴露的肺功能健康损害。[目的]本研究旨在评估电焊工尿液和血液中多种金属浓度与肺功能指标间的关联,探讨影响肺功能的关键金属成分,为职业健康风险评估提供参考依据。[方法]对上海市某造船厂电焊工和对照组工人进行问卷调查、肺功能检测,并收集尿液和血液样本。采用电感耦合等离子体质谱法(ICP-MS)检测尿液和血液中钒、铬、锰等12种金属浓度。Spearman相关用于分析血液、尿液中金属间的关联性。应用多重线性回归、加权分位数之和回归(WQS)和贝叶斯核机器回归(BKMR)剖析金属混合暴露与肺功能指标用力肺活量(FVC)、用力肺活量占预计值百分比(FVC%)、第1秒用力呼气容积(FEV_(1))、第1秒用力呼气容积占预计值百分比(FEV_(1)%)和一秒率(FEV_(1)/FVC)间的关系。[结果]本研究共纳入445名工人,焊工组322人(72.36%),对照组123人(27.64%),总人群平均年龄为(37.64±8.80)岁,87.19%为男性。电焊工尿镉(0.88 vs 0.58μg·L^(-1))以及血铬(5.86 vs5.06μg·L^(-1))、锰(24.24 vs 21.38μg·L^(-1))浓度均显著高于对照组(P<0.05)。Spearman相关结果显示尿液和血液中金属元素间相关系数范围为-0.46~0.68。在校正混杂因素后,多重线性回归结果提示电焊工尿钼与FVC、FEV_(1)间呈负相关;血钼与FVC、FVC%、FEV_(1)、FEV_(1)%以及血铜与FEV_(1)/FVC间呈负相关。WQS结果表明电焊工血液、尿液金属混合浓度每增加1个四分位数水平,FEV_(1)、FVC分别平均下降0.112 L、0.353 L,铜、锌、钒、锑等金属贡献较大。BKMR显示电焊工血液、尿液中金属浓度与FVC、FVC%、FEV_(1)、FEV_(1)%间呈下降趋势,单变量暴露反应-关系中血液、尿液钼浓度与FVC、FVC%、FEV_(1)、FEV_(1)大致呈线性下降趋势;电焊工尿液中不同金属作用于FEV_(1)%时,镉与锰、镍、钒间,钒与铁、钼、锌、铜间可能具有交互作用。[结论]多金属混合暴露引起电焊工肺功能下降,贡献较大的金属有钼、锑、铜和锌等。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
基金supported by the Natural Science Foundation of Shanghai(23ZR1463600)Shanghai Pudong New Area Health Commission Research Project(PW2021A-69)Research Project of Clinical Research Center of Shanghai Health Medical University(22MC2022002)。
文摘Gastric cancer is the third leading cause of cancer-related mortality and remains a major global health issue^([1]).Annually,approximately 479,000individuals in China are diagnosed with gastric cancer,accounting for almost 45%of all new cases worldwide^([2]).
文摘目的 贝叶斯核机器回归(Bayesian kernel machine regression,BKMR)模型是近年快速发展的统计分析方法,本研究旨在介绍BKMR模型在多污染物暴露的健康效应研究中的应用及其在R语言的实现。方法 以美国国家环境健康科学研究所(National Institute of Environmental Health Sciences,NIEHS)公开的数据集为例,运用BKMR模型分析多污染物暴露对健康的影响,并基于R语言介绍其分析步骤。结果 依托R语言的“bkmr”程序包,BKMR模型可以探究暴露与健康的单暴露-反应关系,多种暴露之间的交互作用,估算单暴露的效应和多暴露物的联合效应。结论 BKMR模型可同时分析多污染物暴露与健康结局的暴露反应关系和健康效应,是研究复合环境暴露健康影响的一种新分析方法。
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 Science&Technology Program of Guizhou Province(Nos.QKHPTRC-GCC[2022]039-1,QKHPTRC-CXTD[2022]014,and QKHHBZ[2020]3002)the Scientific Research Programof Guizhou Provincial Department of Education(No.QJJ[2023]019).
文摘Anemia is still prevalent among low and middle-income countries,posing serious family and social burdens.However,scarce studies provided evidence for real-world exposure to polycyclic aromatic hydrocarbons(PAHs)and anemia among pregnant women,as well as involved biological mechanisms.So,we conducted this study including 1717 late pregnant women fromZunyi Birth Cohort and collected urine samples for PAHs metabolites detection.Logistic regression and restricted cubic spline regression were used to examine exposuredisease risks and dose-response relationships.We conducted Bayesian kernel machine regression,weighted quantile sum regression,and quantile g-computation regression to fit the joint impacts of multiple PAHs in the real-world scenario on hypocalcemia and anemia.Results showed single exposure to 2-OHNap,2-OHFlu,9-OHFlu,1-OHPhe,2-OHPhe,3-OHPhe,and 1-OHPyr(all P-trend<0.05)increased the risks of hypocalcemia and anemia.Moreover,PAHs mixture was significantly related to higher risks of hypocalcemia and anemia,with 3-OHPhe and 1-OHPyr identified as their major drivers,respectively.Importantly,hypocalcemia served as a significant biological mechanism responsible for PAHs and anemia.Our findings suggest that individual and joint exposure to PAHs during late pregnancy elevate the anemia risk,and calcium supplementation might be a low-cost intervention target for reducing the PAHs-related impairment on anemia for pregnant women.
文摘[背景]电焊工接触含多种金属的电焊烟尘引起肺功能下降,既往研究多集中于单一金属与肺功能间的关联,较少关注到金属混合暴露的肺功能健康损害。[目的]本研究旨在评估电焊工尿液和血液中多种金属浓度与肺功能指标间的关联,探讨影响肺功能的关键金属成分,为职业健康风险评估提供参考依据。[方法]对上海市某造船厂电焊工和对照组工人进行问卷调查、肺功能检测,并收集尿液和血液样本。采用电感耦合等离子体质谱法(ICP-MS)检测尿液和血液中钒、铬、锰等12种金属浓度。Spearman相关用于分析血液、尿液中金属间的关联性。应用多重线性回归、加权分位数之和回归(WQS)和贝叶斯核机器回归(BKMR)剖析金属混合暴露与肺功能指标用力肺活量(FVC)、用力肺活量占预计值百分比(FVC%)、第1秒用力呼气容积(FEV_(1))、第1秒用力呼气容积占预计值百分比(FEV_(1)%)和一秒率(FEV_(1)/FVC)间的关系。[结果]本研究共纳入445名工人,焊工组322人(72.36%),对照组123人(27.64%),总人群平均年龄为(37.64±8.80)岁,87.19%为男性。电焊工尿镉(0.88 vs 0.58μg·L^(-1))以及血铬(5.86 vs5.06μg·L^(-1))、锰(24.24 vs 21.38μg·L^(-1))浓度均显著高于对照组(P<0.05)。Spearman相关结果显示尿液和血液中金属元素间相关系数范围为-0.46~0.68。在校正混杂因素后,多重线性回归结果提示电焊工尿钼与FVC、FEV_(1)间呈负相关;血钼与FVC、FVC%、FEV_(1)、FEV_(1)%以及血铜与FEV_(1)/FVC间呈负相关。WQS结果表明电焊工血液、尿液金属混合浓度每增加1个四分位数水平,FEV_(1)、FVC分别平均下降0.112 L、0.353 L,铜、锌、钒、锑等金属贡献较大。BKMR显示电焊工血液、尿液中金属浓度与FVC、FVC%、FEV_(1)、FEV_(1)%间呈下降趋势,单变量暴露反应-关系中血液、尿液钼浓度与FVC、FVC%、FEV_(1)、FEV_(1)大致呈线性下降趋势;电焊工尿液中不同金属作用于FEV_(1)%时,镉与锰、镍、钒间,钒与铁、钼、锌、铜间可能具有交互作用。[结论]多金属混合暴露引起电焊工肺功能下降,贡献较大的金属有钼、锑、铜和锌等。
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.
