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全氟烷基物质混合物与威尼托地区高度暴露成人社区血脂谱之间的关联。

Associations between Mixture of Perfluoroalkyl Substances and Lipid Profile in a Highly Exposed Adult Community in the Veneto Region.

机构信息

Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, 35131 Padova, Italy.

RIVM-National Institute for Public Health and the Environment, 3720 Bilthoven, The Netherlands.

出版信息

Int J Environ Res Public Health. 2022 Sep 29;19(19):12421. doi: 10.3390/ijerph191912421.

Abstract

BACKGROUND

Residents of a large area in the Veneto Region (Northeastern Italy) were exposed to drinking water contaminated by perfluoroalkyl substances (PFAS) for decades. While exposure to PFAS has been consistently associated with elevated serum lipids, combined exposures to multiple PFASs have been poorly investigated. Utilising different statistical approaches, we examine the association between chemical mixtures and lipid parameters.

METHODS

Cross-sectional data from the regional health surveillance program (34,633 individuals aged 20-64 years) were used to examine the combined effects of PFAS mixture (Perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorononanoic acid (PFNA) and perfluorohexane sulfonate (PFHxS)) on total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Weighted Quantile Sum (WQS) regression, Quantile-based G-computation (Q-Gcomp) and Bayesian Kernel Machine Regression (BKMR) were used based on their ability to handle highly correlated chemicals.

RESULTS

We observed that each quartile increase in the WQS index was associated with an increase in the levels of TC (β: 4.09, 95% CI: 3.47-4.71), HDL-C (β: 1.13, 95% CI: 0.92-1.33) and LDL-C (β: 3.14, 95% CI: 2.65-3.63). Q-Gcomp estimated that a quartile increase in the PFAS mixture was associated with increased TC (ψ: 4.04, 95% CI 3.5-4.58), HDL-C (ψ: 1.07, 95% CI 20.87-1.27) and LDL-C (ψ: 2.71, 95% CI 2.23-3.19). In the BKMR analysis, the effect of PFAS mixture on serum lipids increased significantly when their concentrations were at their 75th percentiles or above, compared to those at their 50th percentile. All methods revealed a major contribution of PFOS and PFNA, although the main exposure was due to PFOA. We found suggestive evidence that associations varied when stratified by gender.

CONCLUSIONS

The PFAS mixture was positively associated with lipid parameters, regardless of the applied method. Very similar results obtained from the three methods may be attributed to the linear positive association with the outcomes and no interaction between each PFAS.

摘要

背景

几十年来,意大利东北部威尼托地区的一大片地区的居民饮用水都受到全氟烷基物质 (PFAS) 的污染。虽然接触 PFAS 一直与血清脂质升高有关,但对多种 PFAS 的联合暴露研究甚少。利用不同的统计方法,我们研究了化学混合物与脂质参数之间的关联。

方法

利用区域健康监测计划(34633 名 20-64 岁人群)的横断面数据,研究 PFAS 混合物(全氟辛酸 (PFOA)、全氟辛烷磺酸 (PFOS)、全氟壬酸 (PFNA) 和全氟己烷磺酸 (PFHxS)) 对总胆固醇 (TC)、高密度脂蛋白胆固醇 (HDL-C) 和低密度脂蛋白胆固醇 (LDL-C) 的综合影响。基于它们处理高度相关化学物质的能力,使用加权分位数总和 (WQS) 回归、分位数基于的 G 计算 (Q-Gcomp) 和贝叶斯核机器回归 (BKMR)。

结果

我们观察到,WQS 指数每增加一个四分位,TC(β:4.09,95%CI:3.47-4.71)、HDL-C(β:1.13,95%CI:0.92-1.33)和 LDL-C(β:3.14,95%CI:2.65-3.63)水平就会升高。Q-Gcomp 估计,PFAS 混合物的四分位增加与 TC(ψ:4.04,95%CI 3.5-4.58)、HDL-C(ψ:1.07,95%CI 20.87-1.27)和 LDL-C(ψ:2.71,95%CI 2.23-3.19)升高有关。在 BKMR 分析中,与 PFAS 混合物在 50 百分位时相比,当浓度处于 75 百分位或以上时,对血清脂质的影响显著增加。所有方法都表明 PFOS 和 PFNA 的贡献很大,尽管主要暴露源是 PFOA。我们发现有迹象表明,当按性别分层时,关联会有所不同。

结论

PFAS 混合物与脂质参数呈正相关,无论应用哪种方法。三种方法得出的非常相似的结果可能归因于与结果呈线性正相关,且各 PFAS 之间没有相互作用。

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