Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430079, China.
Environ Pollut. 2019 Feb;245:89-97. doi: 10.1016/j.envpol.2018.10.134. Epub 2018 Nov 1.
Exposure to polycyclic aromatic hydrocarbons (PAHs) has been associated with metabolic diseases. However, relationships between PAH exposures and dyslipidemias have not been well addressed.
To investigate associations between urinary PAH metabolite concentrations and dyslipidemias in the general population.
Twelve urinary PAH metabolites and four serum lipid profiles were measured in 3640 Chinese adults from the Wuhan-Zhuhai cohort. Dyslipidemias, including hyper-total cholesterol (HyperTC), hyper-triglyceride (HyperTG), hyper-low density lipoprotein cholesterol (HyperLDL-C), and hypo-high density lipoprotein cholesterol (HypoHDL-C) were classified according to the levels of serum lipids. Multiple logistic regression models were used to estimate the associations between urinary PAH metabolites and the prevalence of dyslipidemias. The effects of PAH exposure routes on dyslipidemias were further estimated by stratified analysis.
We found positive exposure-response relationships between urinary PAH metabolites and the prevalence of dyslipidemias. Compared with the lowest tertile of urinary PAH metabolites, increased risk of HyperTC were observed in those in the highest tertiles; The odds ratios (ORs) and 95% confidence intervals were 1.23 (1.03, 1.47), 1.44 (1.21, 1.71), 1.19 (1.01, 1.42), and 1.43 (1.20, 1.71) for 1-OHNa, 9-OHFlu, 1-OHPh, and 4-OHPh, respectively. Participants in the highest tertiles of 1-OHNa and 2-OHFlu had higher risk for HyperLDL-C, and the ORs were 1.21 (1.01, 1.45) and 1.18 (0.98, 1.42), respectively. Among smokers, only urinary 1-OHNa was associated with increased risk of HyperTC (1.36, 1.08-1.73) and HyperLDL-C (1.33, 1.01-1.74). While the increasing urinary levels of 9-OHFlu, 1-OHPh, and 4-OHPh were significantly associated with increased risk of HyperTC among non-smokers. In addition, the associations between urinary PAH metabolites and dyslipidemias were more pronounced among non-smokers who are cooked for themselves and had long-term traffic exposure.
Elevated urinary PAH metabolites were associated with increased risks of HyperTC and HyperLDL-C. The source of PAH exposure could modify PAH species that affect dyslipidemias.
多环芳烃(PAHs)的暴露与代谢疾病有关。然而,PAH 暴露与血脂异常之间的关系尚未得到充分研究。
调查普通人群中尿中 PAH 代谢物浓度与血脂异常之间的关联。
在武汉-珠海队列中,对 3640 名中国成年人进行了 12 种尿中 PAH 代谢物和 4 种血清脂质谱的测量。血脂异常包括总胆固醇升高(HyperTC)、甘油三酯升高(HyperTG)、低密度脂蛋白胆固醇升高(HyperLDL-C)和高密度脂蛋白胆固醇降低(HypoHDL-C),根据血清脂质水平进行分类。多因素逻辑回归模型用于估计尿中 PAH 代谢物与血脂异常患病率之间的关联。通过分层分析进一步估计 PAH 暴露途径对血脂异常的影响。
我们发现尿中 PAH 代谢物与血脂异常患病率之间存在正暴露反应关系。与尿中 PAH 代谢物最低三分位相比,最高三分位的 HyperTC 患病风险增加;比值比(OR)和 95%置信区间分别为 1.23(1.03,1.47)、1.44(1.21,1.71)、1.19(1.01,1.42)和 1.43(1.20,1.71),分别为 1-OHNa、9-OHFlu、1-OHPh 和 4-OHPh。尿中 1-OHNa 和 2-OHFlu 最高三分位的参与者患 HyperLDL-C 的风险更高,OR 分别为 1.21(1.01,1.45)和 1.18(0.98,1.42)。在吸烟者中,只有尿中 1-OHNa 与 HyperTC(1.36,1.08-1.73)和 HyperLDL-C(1.33,1.01-1.74)患病风险增加有关。而在非吸烟者中,尿中 9-OHFlu、1-OHPh 和 4-OHPh 水平升高与 HyperTC 患病风险显著相关。此外,在自己做饭和长期交通暴露的非吸烟者中,尿中 PAH 代谢物与血脂异常之间的关联更为明显。
尿中 PAH 代谢物水平升高与 HyperTC 和 HyperLDL-C 患病风险增加有关。PAH 暴露源可能会改变影响血脂异常的 PAH 种类。