Department of Built Environment, North Carolina A&T State University, Greensboro, NC, United States.
Environmental Health and Disease Laboratory, North Carolina A&T State University, Greensboro, NC, United States.
Front Public Health. 2024 Aug 29;12:1385500. doi: 10.3389/fpubh.2024.1385500. eCollection 2024.
Exposure to environmental metals has been increasingly associated with systemic inflammation, which is implicated in the pathogenesis of various chronic diseases, including those with neurodegenerative aspects. However, the complexity of exposure and response relationships, particularly for mixtures of metals, has not been fully elucidated.
This study aims to assess the individual and combined effects of lead, cadmium, and mercury exposure on systemic inflammation as measured by C-reactive protein (CRP) levels, using data from the National Health and Nutrition Examination Survey (NHANES) 2017-2018.
We employed Bayesian Kernel Machine Regression (BKMR) to analyze the NHANES 2017-2018 data, allowing for the evaluation of non-linear exposure-response functions and interactions between metals. Posterior Inclusion Probabilities (PIP) were calculated to determine the significance of each metal's contribution to CRP levels.
The PIP results highlighted mercury's significant contribution to CRP levels (PIP = 1.000), followed by cadmium (PIP = 0.6456) and lead (PIP = 0.3528). Group PIP values confirmed the importance of considering the metals as a collective group in relation to CRP levels. Our BKMR analysis revealed non-linear relationships between metal exposures and CRP levels. Univariate analysis showed a flat relationship between lead and CRP, with cadmium having a positive relationship. Mercury exhibited a U-shaped association, indicating both low and high exposures as potential risk factors for increased inflammation. Bivariate analysis confirmed this relationship when contaminants were combined with lead and cadmium. Analysis of single-variable effects suggested that cadmium and lead are associated with higher values of the h function, a flexible function that takes multiple metals and combines them in a way that captures the complex and potentially nonlinear relationship between the metals and CRP. The overall exposure effect of all metals on CRP revealed that exposures below the 50th percentile exposure level are associated with an increase in CRP levels, while exposures above the 60th percentile are linked to a decrease in CRP levels.
Our findings suggest that exposure to environmental metals, particularly mercury, is associated with systemic inflammation. These results highlight the need for public health strategies that address the cumulative effects of metal exposure and reinforce the importance of using advanced statistical methods to understand the health impact of environmental contaminants. Future research should focus on the mechanistic pathways of metal-induced inflammation and longitudinal studies to ascertain the long-term effects of these exposures.
环境金属暴露与全身炎症的关系日益密切,全身炎症与各种慢性疾病的发病机制有关,包括具有神经退行性特征的疾病。然而,暴露和反应关系的复杂性,特别是对于金属混合物,尚未完全阐明。
本研究旨在使用 2017-2018 年全国健康与营养调查(NHANES)的数据,通过 C 反应蛋白(CRP)水平评估铅、镉和汞暴露对全身炎症的单独和联合影响。
我们采用贝叶斯核机器回归(BKMR)分析 NHANES 2017-2018 年的数据,允许评估金属的非线性暴露-反应函数和相互作用。后验包含概率(PIP)用于确定每种金属对 CRP 水平的贡献的显著性。
PIP 结果突出了汞对 CRP 水平的显著贡献(PIP=1.000),其次是镉(PIP=0.6456)和铅(PIP=0.3528)。组 PIP 值证实了在考虑 CRP 水平时,将金属作为一个整体考虑的重要性。我们的 BKMR 分析显示金属暴露与 CRP 水平之间存在非线性关系。单变量分析显示铅与 CRP 之间呈平坦关系,镉呈正相关。汞呈 U 形关联,表明低暴露和高暴露都是炎症增加的潜在危险因素。当污染物与铅和镉结合时,双变量分析证实了这种关系。单变量效应分析表明,镉和铅与 h 函数的较高值相关,h 函数是一种灵活的函数,它结合了多种金属,并以捕捉金属与 CRP 之间复杂且潜在的非线性关系的方式将它们结合在一起。所有金属对 CRP 的总暴露效应表明,低于第 50 个百分位暴露水平的暴露与 CRP 水平的升高有关,而高于第 60 个百分位暴露水平的暴露与 CRP 水平的降低有关。
我们的研究结果表明,环境金属暴露,特别是汞,与全身炎症有关。这些结果强调了需要采取公共卫生策略来解决金属暴露的累积效应,并强调了使用先进的统计方法来了解环境污染物对健康的影响的重要性。未来的研究应侧重于金属诱导炎症的机制途径和纵向研究,以确定这些暴露的长期影响。