The association of urinary polycyclic aromatic hydrocarbon biomarkers and cardiovascular disease in the US population.
The association of urinary polycyclic aromatic hydrocarbon biomarkers and cardiovascular disease in the US population.
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DOI：
10.1016/j.envint.2016.02.006
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发表时间：
2016-04
影响因子：
11.8
通讯作者：
Andrew ME
中科院分区：
文献类型：
--
作者：
Alshaarawy O;Elbaz HA;Andrew ME
多环芳烃（PAHs）是有机物不完全燃烧产生的强有力的大气污染物。临床前和职业研究报告了多环芳烃与氧化应激、炎症和随后的动脉粥样硬化发展的正相关性，动脉粥样硬化是心血管疾病（CVD）的主要潜在危险因素。本研究的目的是评估美国（US）成人全国代表性样本中PAH生物标志物水平与CVD之间的相关性。我们检查了2001-2010年美国国家健康和营养检查调查的成年参与者（≥20岁）。Logistic回归模型用于估计每种尿PAH生物标志物与CVD的相关性。然后使用探索性结构方程建模来解决相互依赖的反应变量（心绞痛、心脏病发作、卒中和冠心病）以及PAH生物标志物的相互依赖性。在多元逻辑回归模型中，PAH生物标志物与心血管疾病呈正相关，尽管某些相关性在统计学上并不稳健。使用结构方程模型，在多变量校正模型中，潜在PAH暴露变量与潜在CVD水平变量呈正相关（β = 0.12; 95% CI：0.03，0.20）。在美国成年人中检测到PAH生物标志物水平与CVD之间存在中度相关性。需要进一步的前瞻性研究和足够的样本量来复制或反驳我们的发现。
Polycyclic aromatic hydrocarbons (PAHs) are potent atmospheric pollutants produced by incomplete combustion of organic materials. Pre-clinical and occupational studies have reported a positive association of PAHs with oxidative stress, inflammation and subsequent development of atherosclerosis, a major underlying risk factor for cardiovascular disease (CVD). The aim of the current study is to estimate the association between levels of PAH biomarkers and CVD in a national representative sample of United States (US) adults. We examined adult participants (≥20 years of age) from the merged US National Health and Nutrition Examination Survey 2001–2010. Logistic regression models were used to estimate the associations of each urinary PAH biomarker and CVD. Post-exploratory structural equation modeling was then used to address the interdependent response variables (angina, heart attack, stroke and coronary heart disease) as well as the interdependencies of PAH biomarkers. PAH biomarkers were positively associated with cardiovascular disease in multiple logistic regression models, although some associations were not statistically robust. Using structural equation modelling, latent PAH exposure variable was positively associated with latent CVD level variable in the multivariable adjusted model (β = 0.12; 95% CI: 0.03, 0.20). A modest association between levels of PAH biomarkers and CVD was detected in US adults. Further prospective studies with adequate sample size are needed to replicate or refute our findings.