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大气污染物暴露相关的代谢途径改变与青年成年人的脂质谱。

Metabolic pathways altered by air pollutant exposure in association with lipid profiles in young adults.

机构信息

Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States.

Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.

出版信息

Environ Pollut. 2023 Jun 15;327:121522. doi: 10.1016/j.envpol.2023.121522. Epub 2023 Apr 3.

Abstract

Mounting evidence suggests that air pollution influences lipid metabolism and dyslipidemia. However, the metabolic mechanisms linking air pollutant exposure and altered lipid metabolism is not established. In year 2014-2018, we conducted a cross-sectional study on 136 young adults in southern California, and assessed lipid profiles (triglycerides, total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, very-low-density lipoprotein (VLDL)-cholesterol), and untargeted serum metabolomics using liquid chromatography-high-resolution mass spectrometry, and one-month and one-year averaged exposures to NO, O, PM and PM air pollutants at residential addresses. A metabolome-wide association analysis was conducted to identify metabolomic features associated with each air pollutant. Mummichog pathway enrichment analysis was used to assess altered metabolic pathways. Principal component analysis (PCA) was further conducted to summarize 35 metabolites with confirmed chemical identity. Lastly, linear regression models were used to analyze the associations of metabolomic PC scores with each air pollutant exposure and lipid profile outcome. In total, 9309 metabolomic features were extracted, with 3275 features significantly associated with exposure to one-month or one-year averaged NO, O, PM and PM (p < 0.05). Metabolic pathways associated with air pollutants included fatty acid, steroid hormone biosynthesis, tryptophan, and tyrosine metabolism. PCA of 35 metabolites identified three main PCs which together explained 44.4% of the variance, representing free fatty acids and oxidative byproducts, amino acids and organic acids. Linear regression indicated that the free fatty acids and oxidative byproducts-related PC score was associated with air pollutant exposure and outcomes of total cholesterol and LDL-cholesterol (p < 0.05). This study suggests that exposure to NO, O, PM and PM contributes to increased level of circulating free fatty acids, likely through increased adipose lipolysis, stress hormone and response to oxidative stress pathways. These alterations were associated with dysregulation of lipid profiles and potentially could contribute to dyslipidemia and other cardiometabolic disorders.

摘要

越来越多的证据表明,空气污染会影响脂质代谢和血脂异常。然而,将空气污染物暴露与脂质代谢改变联系起来的代谢机制尚未确定。在 2014 年至 2018 年期间,我们在南加州对 136 名年轻人进行了一项横断面研究,评估了脂质谱(甘油三酯、总胆固醇、高密度脂蛋白(HDL)-胆固醇、低密度脂蛋白(LDL)-胆固醇、极低密度脂蛋白(VLDL)-胆固醇)和使用液相色谱-高分辨质谱进行非靶向血清代谢组学,以及在居住地址评估了 1 个月和 1 年平均暴露于 NO、O、PM 和 PM 空气污染物。进行了代谢组学全关联分析,以确定与每种空气污染物相关的代谢组学特征。Mummichog 途径富集分析用于评估改变的代谢途径。进一步进行主成分分析(PCA)以总结具有确认化学身份的 35 种代谢物。最后,使用线性回归模型分析代谢组学 PC 评分与每种空气污染物暴露和脂质谱结果的关联。总共提取了 9309 种代谢组学特征,其中 3275 种特征与 1 个月或 1 年平均的 NO、O、PM 和 PM 暴露显著相关(p<0.05)。与空气污染物相关的代谢途径包括脂肪酸、类固醇激素生物合成、色氨酸和酪氨酸代谢。35 种代谢物的 PCA 确定了三个主要 PC,它们共同解释了 44.4%的方差,代表游离脂肪酸和氧化副产物、氨基酸和有机酸。线性回归表明,与游离脂肪酸和氧化副产物相关的 PC 评分与空气污染物暴露和总胆固醇及 LDL-胆固醇的结果相关(p<0.05)。本研究表明,暴露于 NO、O、PM 和 PM 会导致循环游离脂肪酸水平升高,可能通过增加脂肪分解、应激激素和对氧化应激途径的反应。这些变化与脂质谱的失调有关,可能导致血脂异常和其他心血管代谢疾病。

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