Complex metal interaction networks and the mediating role of biological aging in dyslipidemia

IF 7.3 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Pollution Pub Date : 2025-05-01 Epub Date: 2025-03-11 DOI:10.1016/j.envpol.2025.126047
Guohuan Yin , Xingyu Chen , Meiduo Zhao , Jing Xu , Qun Xu
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Abstract

Metal mixture exposure is a major risk factor for dyslipidemia. Numerous studies have shown an association between metal mixture exposure, biological aging, and dyslipidemia. However, the interactions between metals, their directions, and the potential mechanisms through which they influence dyslipidemia remain unclear. This study utilized data from a repeated-measures cohort collected between 2016 and 2021, including 403 participants (1612 observations). Levels of metals, including chromium (Cr), cadmium (Cd), lead (Pb), and manganese (Mn), were measured in urine, along with four dyslipidemia biomarkers and their extended indicators. Generalized Estimating Equations (GEE) and Bayesian Kernel Machine Regression (BKMR) were used to analyze the effects of single and combined metal exposures on dyslipidemia. BKMR and the Synergy Index were employed to explore binary metal interactions and their directions. Marginal effects analysis assessed the impact of multiple metal interactions on dyslipidemia, and mediation analysis was conducted to explore the role of KDM.Accel in mediating the relationship between metal exposure and dyslipidemia. The findings indicated that both individual and combined exposures to Cr, Cd, Pb, and Mn significantly affected dyslipidemia. Multiple binary metal interactions exhibited synergistic effects on lipid outcomes. Pb∗Cd∗Cr and Pb∗Cd∗Mn showed an antagonistic effect on non-high-density lipoprotein cholesterol (NHC), while Cd∗Cr∗Mn∗Pb demonstrated synergistic effects on NHC. Additionally, KDM.Accel was identified as a key mediator in the relationship between Pb exposure and dyslipidemia, influencing the associations between Pb and HDL-C, LDL-C, and AC abnormalities. Mixed heavy metal exposure and their interactions are associated with dyslipidemia outcomes, with KDM.Accel playing a mediating role in the relationship between metals and dyslipidemia. This study highlights the potential interactions between metals and the mechanisms by which KDM.Accel may influence dyslipidemia, offering new insights into the connection between metal mixtures and dyslipidemia.

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复杂的金属相互作用网络和生物老化在血脂异常中的介导作用
金属混合物暴露是血脂异常的主要危险因素。大量研究表明金属混合物暴露、生物老化和血脂异常之间存在关联。然而,金属之间的相互作用,它们的方向,以及它们影响血脂异常的潜在机制仍不清楚。本研究利用了2016年至2021年间收集的重复测量队列的数据,包括403名参与者(1612项观察)。测量了尿中的金属水平,包括铬(Cr)、镉(Cd)、铅(Pb)和锰(Mn),以及四种血脂异常生物标志物及其扩展指标。采用广义估计方程(GEE)和贝叶斯核机回归(BKMR)分析单一和联合金属暴露对血脂异常的影响。利用BKMR和协同指数探讨了二元金属相互作用及其方向。边际效应分析评估多种金属相互作用对血脂异常的影响,并进行中介分析探讨KDM的作用。加速调解金属暴露与血脂异常之间的关系。研究结果表明,单独或联合暴露于Cr、Cd、Pb和Mn显著影响血脂异常。多种二元金属相互作用对脂质结果表现出协同效应。Pb*Cd*Cr和Pb*Cd*Mn对非高密度脂蛋白胆固醇(NHC)具有拮抗作用,Cd*Cr*Mn*Pb对NHC具有协同作用。此外,股。Accel被认为是铅暴露与血脂异常之间关系的关键中介,影响铅与HDL-C、LDL-C和AC异常之间的关系。混合重金属暴露及其相互作用与血脂异常结果和KDM有关。加速在金属与血脂异常的关系中起中介作用。这项研究强调了金属之间潜在的相互作用以及KDM的机制。加速可能影响血脂异常,为金属混合物与血脂异常之间的联系提供了新的见解。
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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