Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden; School of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an, China.
Environ Int. 2021 Jan;146:106180. doi: 10.1016/j.envint.2020.106180. Epub 2020 Oct 25.
Perfluoroalkyl substances (PFAS) are widespread persistent environmental pollutants. There is evidence that PFAS induce metabolic perturbations in humans, but underlying mechanisms are still unknown. In this exploratory study, we investigated PFAS-related plasma metabolites for their associations with type 2 diabetes (T2D) to gain potential mechanistic insight in these perturbations. We used untargeted LC-MS metabolomics to find metabolites related to PFAS exposures in a case-control study on T2D (n = 187 matched pairs) nested within the Västerbotten Intervention Programme cohort. Following principal component analysis (PCA), six PFAS measured in plasma appeared in two groups: 1) perfluorononanoic acid, perfluorodecanoic acid and perfluoroundecanoic acid and 2) perfluorohexane sulfonic acid, perfluorooctane sulfonic acid and perfluorooctanoic acid. Using a random forest algorithm, we discovered metabolite features associated with individual PFAS and PFAS exposure groups which were subsequently investigated for associations with risk of T2D. PFAS levels correlated with 171 metabolite features (0.16 ≤ |r| ≤ 0.37, false discovery rate (FDR) adjusted p < 0.05). Out of these, 35 associated with T2D (p < 0.05), with 7 remaining after multiple testing adjustment (FDR < 0.05). PCA of the 35 PFAS- and T2D-related metabolite features revealed two patterns, dominated by glycerophospholipids and diacylglycerols, with opposite T2D associations. The glycerophospholipids correlated positively with PFAS and associated inversely with risk for T2D (Odds Ratio (OR) per 1 standard deviation (1-SD) increase in metabolite PCA pattern score = 0.2; 95% Confidence Interval (CI) = 0.1-0.4). The diacylglycerols also correlated positively with PFAS, but they associated with increased risk for T2D (OR per 1-SD = 1.9; 95% CI = 1.3-2.7). These results suggest that PFAS associate with two groups of lipid species with opposite relations to T2D risk.
全氟烷基物质 (PFAS) 是广泛存在的持久性环境污染物。有证据表明 PFAS 会在人体内引起代谢紊乱,但潜在的机制尚不清楚。在这项探索性研究中,我们研究了与 PFAS 相关的血浆代谢物,以了解它们与 2 型糖尿病 (T2D) 的关联,从而深入了解这些代谢紊乱的潜在机制。我们使用非靶向 LC-MS 代谢组学方法,在嵌套于韦斯特博滕干预计划队列中的 T2D(n = 187 对匹配)病例对照研究中,寻找与 PFAS 暴露相关的代谢物。在主成分分析 (PCA) 之后,在两组中出现了六种在血浆中测量的 PFAS:1) 全氟壬酸、全氟癸酸和全氟十一烷酸,2) 全氟己基磺酸、全氟辛烷磺酸和全氟辛酸。使用随机森林算法,我们发现与个体 PFAS 和 PFAS 暴露组相关的代谢物特征,随后研究这些特征与 T2D 风险的关联。PFAS 水平与 171 种代谢物特征相关(0.16 ≤ |r| ≤ 0.37,错误发现率 (FDR) 调整后 p < 0.05)。其中 35 种与 T2D 相关(p < 0.05),经过多次测试调整后仍有 7 种相关(FDR < 0.05)。对与 35 种 PFAS 和 T2D 相关的代谢物特征进行 PCA 分析,揭示了两种模式,主要由甘油磷脂和二酰基甘油组成,与 T2D 的关联相反。甘油磷脂与 PFAS 呈正相关,与 T2D 的风险呈负相关(代谢物 PCA 模式得分每增加 1 个标准差 (1-SD) 的比值比 (OR) = 0.2;95%置信区间 (CI) = 0.1-0.4)。二酰基甘油也与 PFAS 呈正相关,但与 T2D 风险增加相关(OR 每 1-SD = 1.9;95% CI = 1.3-2.7)。这些结果表明,PFAS 与两组脂质物种相关,与 T2D 风险的关系相反。