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Is there an Association between Per-and Poly-Fluoroalkyl Substances and Serum Pepsinogens?Evidence from Linear Regression and Bayesian Kernel Machine Regression Analyses
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作者 Jing Wu Shenglan Yang +2 位作者 Yiyan Wang Yuzhong Yan Ming Li 《Biomedical and Environmental Sciences》 2025年第6期763-767,共5页
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
关键词 bayesian kernel machine regression gastric canceraccounting gastric cancer per poly fluoroalkyl substances serum pepsinogens linear regression
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Associations of multiple metals exposure with immunoglobulin levels in pregnant women:Hangzhou Birth Cohort Study
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作者 Jiena Zhou Lanfei Jin +13 位作者 Yexinyi Zhou Kunhong Zhong Kegui Huang Qi Zhang Jun Tang Xue Zhang Lihe Peng Shuai Li Na Lv Dongdong Yu Qinheng Zhu Jing Guo Qiong Luo Guangdi Chen 《Journal of Environmental Sciences》 2025年第5期560-572,共13页
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
关键词 METALS IMMUNOGLOBULIN Pregnant woman Quantile-based g-computation (QGC) bayesian kernel machine regression (BKMR)
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Hypocalcemia as biological mechanism responsible for prenatal exposure to polycyclic aromatic hydrocarbons(PAHs)and anemia:Insights from Zunyi birth cohort
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作者 Lei Luo Wenbi Yang +14 位作者 Haonan Zhang Lei Bai Zhongbao Chen Lin Tao Haiyan Wang Shimin Xiong Ruoxuan Li Yijun Liu Xingyan Liu Yan Xie Rong Zeng Xubo Shen Xuejun Shang Yuanzhong Zhou Kunming Tian 《Journal of Environmental Sciences》 2025年第11期148-157,共10页
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
关键词 Polycyclic aromatic hydrocarbons HYPOCALCEMIA ANEMIA Mediation analysis bayesian kernel machine regression
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Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models:A Cross-sectional Study in Rural Guangxi 被引量:1
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作者 LIANG Yu Jian RONG Jia Hui +15 位作者 WANG Xue Xiu CAI Jian Sheng QIN Li Dong LIU Qiu Mei TANG Xu MO Xiao Ting WEI Yan Fei LIN Yin Xia HUANG Shen Xiang LUO Ting Yu GOU Ruo Yu CAO Jie Jing HUANG Chu Wu LU Yu Fu QIN Jian ZHANG Zhi Yong 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2024年第1期3-18,共16页
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
关键词 Urinary metals Handgrip strength Quantile g-computation bayesian kernel machine regression
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Sex-specific and dose-response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults 被引量:1
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作者 Jingli Yang Yongbin Lu +1 位作者 Yana Bai Zhiyuan Cheng 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2023年第2期42-49,共8页
Growing studies have linked metal exposure to diabetes risk.However,these studies had inconsistent results.We used a multiple linear regression model to investigate the sexspecific and dose-response associations betwe... Growing studies have linked metal exposure to diabetes risk.However,these studies had inconsistent results.We used a multiple linear regression model to investigate the sexspecific and dose-response associations between urinary metals(cobalt(Co)and molybdenum(Mo))and diabetes-related indicators(fasting plasma glucose(FPG),hemoglobin A1c(HbA1c),homeostasis model assessment for insulin resistance(HOMA-IR),and insulin)in a cross-sectional study based on the United States National Health and Nutrition Examination Survey.The urinary metal concentrations of 1423 eligible individuals were stratified on the basis of the quartile distribution.Our results showed that the urinary Co level in males at the fourth quartile(Q4)was strongly correlated with increased FPG(β=0.61,95%CI:0.17–1.04),HbA1c(β=0.31,95%CI:0.09–0.54),insulin(β=8.18,95%CI:2.84–13.52),and HOMA–IR(β=3.42,95%CI:1.40–5.44)when compared with first quartile(Q1).High urinary Mo levels(Q4 vs.Q1)were associated with elevated FPG(β=0.46,95%CI:0.17–0.75)and HbA1c(β=0.27,95%CI:0.11–0.42)in the overall population.Positive linear dose-response associations were observed between urinary Co and insulin(Pnonlinear=0.513)and HOMA–IR(Pnonlinear=0.736)in males,as well as a positive linear dose-response relationship between urinary Mo and FPG(Pnonlinear=0.826)and HbA1c(Pnonlinear=0.376)in the overall population.Significant sex-specific and dose-response relationships were observed between urinary metals(Co and Mo)and diabetes-related indicators,and the potential mechanisms should be further investigated. 展开更多
关键词 bayesian kernel machine regression COBALT Diabetes Insulin resistance MOLYBDENUM
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Association between exposure to a mixture of organochlorine pesticides and hyperuricemia in U.S.adults:A comparison of four statistical models 被引量:1
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作者 Yu Wen Yibaina Wang +5 位作者 Renjie Chen Yi Guo Jialu Pu Jianwen Li Huixun Jia Zhenyu Wu 《Eco-Environment & Health》 2024年第2期192-201,共10页
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
关键词 HYPERURICEMIA Organochlorine pesticide NHANES Weighted quantile sum Quantile g-computation bayesian kernel machine regression
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Associations between Metals, Serum Folate, and Cognitive Function in the Elderly: Mixture and Mediation Analyses
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作者 Luli Wu Ye Xin +3 位作者 Junrou Zhang Xin Yang Tian Chen Piye Niu 《Environment & Health》 2024年第12期865-874,共10页
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
关键词 METALS Cognitive function Serum folate Quantile g-computation bayesian kernel machine regression Mediating effect
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