{"title":"中国成人与血脂和血脂异常相关的毛发金属和金属混合物暴露:来自一项全国性横断面研究的证据","authors":"Yunjiang Yu, Wenjie Meng, Xiaohui Zhu, Zongrui Li, Tong Zheng, Ping He, Ying Yu, Chenyin Dong, Zhenchi Li, Hongxuan Kuang, Mingdeng Xiang, Xiaodi Qin, Yang Zhou","doi":"10.1016/j.ecoenv.2025.118695","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Emerging evidence suggests that exposure to metals is associated with dyslipidemia; however, very little data is available on metal exposure in hair, and data regarding their joint and interactive effects for different metals on dyslipidemia are still sparse.</p><p><strong>Methods: </strong>Between 2020 and 2021, a cross-sectional study was conducted among 407 adults across eight provinces in China. Hair samples were analyzed for concentrations of 13 metals: arsenic (As), calcium (Ca), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), molybdenum (Mo), nickel (Ni), lead (Pb), selenium (Se), and zinc (Zn)-using inductively coupled plasma mass spectrometry (ICP-MS). Blood lipid biomarkers, including total cholesterol (CHOL), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured using an automated clinical chemistry analyzer. Multivariable linear and logistic regression models were used to examine associations between individual hair metal levels and lipid profiles or dyslipidemia status. Bayesian Kernel Machine Regression (BKMR) models were applied to assess the combined and interactive effects of metal mixtures on dyslipidemia.</p><p><strong>Results: </strong>We observed hair concentrations of Mo and Pb were positively associated with CHOL levels, while Ca and Cd were inversely associated with LDL-C. Hair Cd was also negatively associated with HDL-C. Logistic regression models showed that elevated Mo and Pb levels were significantly associated with higher odds of dyslipidemia [Mo: OR = 1.58, 95 % CI: 1.20-2.09; Pb: OR = 1.25, 95 % CI: 1.04-1.51] in single-metal models. In BKMR models, Mo and Pb showed the strongest and most consistent associations across exposure percentiles. The risk of dyslipidemia increased steadily with higher metal mixture exposure. Interactive analyses suggested a potential antagonistic effect between Cd and Pb, and a synergistic effect between Mo and Pb, where their joint exposures amplified the risk of dyslipidemia beyond their individual effects.</p><p><strong>Conclusion: </strong>This study revealed a positive association between hair metal mixtures, predominantly driven by Pb, and the risk of dyslipidemia, while also revealing an inverse Pb-Cd interaction effect on dyslipidemia.</p>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"118695"},"PeriodicalIF":6.1000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exposure to hair metals and metal-mixtures associated with blood lipids and dyslipidemia in Chinese adults: Evidence from a national cross-sectional study.\",\"authors\":\"Yunjiang Yu, Wenjie Meng, Xiaohui Zhu, Zongrui Li, Tong Zheng, Ping He, Ying Yu, Chenyin Dong, Zhenchi Li, Hongxuan Kuang, Mingdeng Xiang, Xiaodi Qin, Yang Zhou\",\"doi\":\"10.1016/j.ecoenv.2025.118695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Emerging evidence suggests that exposure to metals is associated with dyslipidemia; however, very little data is available on metal exposure in hair, and data regarding their joint and interactive effects for different metals on dyslipidemia are still sparse.</p><p><strong>Methods: </strong>Between 2020 and 2021, a cross-sectional study was conducted among 407 adults across eight provinces in China. Hair samples were analyzed for concentrations of 13 metals: arsenic (As), calcium (Ca), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), molybdenum (Mo), nickel (Ni), lead (Pb), selenium (Se), and zinc (Zn)-using inductively coupled plasma mass spectrometry (ICP-MS). Blood lipid biomarkers, including total cholesterol (CHOL), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured using an automated clinical chemistry analyzer. Multivariable linear and logistic regression models were used to examine associations between individual hair metal levels and lipid profiles or dyslipidemia status. Bayesian Kernel Machine Regression (BKMR) models were applied to assess the combined and interactive effects of metal mixtures on dyslipidemia.</p><p><strong>Results: </strong>We observed hair concentrations of Mo and Pb were positively associated with CHOL levels, while Ca and Cd were inversely associated with LDL-C. Hair Cd was also negatively associated with HDL-C. Logistic regression models showed that elevated Mo and Pb levels were significantly associated with higher odds of dyslipidemia [Mo: OR = 1.58, 95 % CI: 1.20-2.09; Pb: OR = 1.25, 95 % CI: 1.04-1.51] in single-metal models. In BKMR models, Mo and Pb showed the strongest and most consistent associations across exposure percentiles. The risk of dyslipidemia increased steadily with higher metal mixture exposure. Interactive analyses suggested a potential antagonistic effect between Cd and Pb, and a synergistic effect between Mo and Pb, where their joint exposures amplified the risk of dyslipidemia beyond their individual effects.</p><p><strong>Conclusion: </strong>This study revealed a positive association between hair metal mixtures, predominantly driven by Pb, and the risk of dyslipidemia, while also revealing an inverse Pb-Cd interaction effect on dyslipidemia.</p>\",\"PeriodicalId\":303,\"journal\":{\"name\":\"Ecotoxicology and Environmental Safety\",\"volume\":\"302 \",\"pages\":\"118695\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecotoxicology and Environmental Safety\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ecoenv.2025.118695\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/7/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecotoxicology and Environmental Safety","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.ecoenv.2025.118695","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景:新出现的证据表明,接触金属与血脂异常有关;然而,关于头发中金属暴露的数据很少,关于不同金属对血脂异常的联合和相互作用的数据仍然很少。方法:在2020年至2021年期间,对中国8个省份的407名成年人进行了一项横断面研究。利用电感耦合等离子体质谱(ICP-MS)分析头发样品中砷(As)、钙(Ca)、镉(Cd)、铬(Cr)、铜(Cu)、铁(Fe)、镁(Mg)、锰(Mn)、钼(Mo)、镍(Ni)、铅(Pb)、硒(Se)和锌(Zn)等13种金属的浓度。血脂生物标志物,包括总胆固醇(CHOL)、甘油三酯(TG)、高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL-C),使用自动化临床化学分析仪进行测量。使用多变量线性和逻辑回归模型来检查个体毛金属水平与脂质谱或血脂异常状态之间的关系。贝叶斯核机回归(BKMR)模型用于评估金属混合物对血脂异常的联合和相互作用。结果:毛发中Mo、Pb浓度与CHOL水平呈正相关,Ca、Cd浓度与LDL-C呈负相关。头发Cd也与HDL-C呈负相关。Logistic回归模型显示,Mo和Pb水平升高与血脂异常发生率升高显著相关[Mo: OR = 1.58,95 % CI: 1.20-2.09;Pb: OR = 1.25,95 % CI: 1.04-1.51]。在BKMR模型中,Mo和Pb在暴露百分位数中表现出最强和最一致的关联。随着金属混合物暴露量的增加,血脂异常的风险稳步增加。相互作用分析表明,镉和铅之间存在潜在的拮抗作用,钼和铅之间存在协同作用,两者的联合暴露放大了血脂异常的风险,超出了它们各自的影响。结论:本研究揭示了毛发金属混合物(主要由铅驱动)与血脂异常风险之间的正相关,同时也揭示了铅-镉对血脂异常的反向相互作用。
Exposure to hair metals and metal-mixtures associated with blood lipids and dyslipidemia in Chinese adults: Evidence from a national cross-sectional study.
Background: Emerging evidence suggests that exposure to metals is associated with dyslipidemia; however, very little data is available on metal exposure in hair, and data regarding their joint and interactive effects for different metals on dyslipidemia are still sparse.
Methods: Between 2020 and 2021, a cross-sectional study was conducted among 407 adults across eight provinces in China. Hair samples were analyzed for concentrations of 13 metals: arsenic (As), calcium (Ca), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), molybdenum (Mo), nickel (Ni), lead (Pb), selenium (Se), and zinc (Zn)-using inductively coupled plasma mass spectrometry (ICP-MS). Blood lipid biomarkers, including total cholesterol (CHOL), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured using an automated clinical chemistry analyzer. Multivariable linear and logistic regression models were used to examine associations between individual hair metal levels and lipid profiles or dyslipidemia status. Bayesian Kernel Machine Regression (BKMR) models were applied to assess the combined and interactive effects of metal mixtures on dyslipidemia.
Results: We observed hair concentrations of Mo and Pb were positively associated with CHOL levels, while Ca and Cd were inversely associated with LDL-C. Hair Cd was also negatively associated with HDL-C. Logistic regression models showed that elevated Mo and Pb levels were significantly associated with higher odds of dyslipidemia [Mo: OR = 1.58, 95 % CI: 1.20-2.09; Pb: OR = 1.25, 95 % CI: 1.04-1.51] in single-metal models. In BKMR models, Mo and Pb showed the strongest and most consistent associations across exposure percentiles. The risk of dyslipidemia increased steadily with higher metal mixture exposure. Interactive analyses suggested a potential antagonistic effect between Cd and Pb, and a synergistic effect between Mo and Pb, where their joint exposures amplified the risk of dyslipidemia beyond their individual effects.
Conclusion: This study revealed a positive association between hair metal mixtures, predominantly driven by Pb, and the risk of dyslipidemia, while also revealing an inverse Pb-Cd interaction effect on dyslipidemia.
期刊介绍:
Ecotoxicology and Environmental Safety is a multi-disciplinary journal that focuses on understanding the exposure and effects of environmental contamination on organisms including human health. The scope of the journal covers three main themes. The topics within these themes, indicated below, include (but are not limited to) the following: Ecotoxicology、Environmental Chemistry、Environmental Safety etc.