Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany.
Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Sci Total Environ. 2023 Nov 20;900:165780. doi: 10.1016/j.scitotenv.2023.165780. Epub 2023 Jul 24.
Short-term exposure to air pollution has been reported to be associated with cardiopulmonary diseases, but the underlying mechanisms remain unclear. This study aimed to investigate changes in serum metabolites associated with immediate, short- and medium-term exposures to ambient air pollution.
We used data from the German population-based Cooperative Health Research in the Region of Augsburg (KORA) S4 survey (1999-2001) and two follow-up examinations (F4: 2006-08 and FF4: 2013-14). Mass-spectrometry-based targeted metabolomics was used to quantify metabolites among serum samples. Only participants with repeated metabolites measurements were included in this analysis. We collected daily averages of fine particles (PM), coarse particles (PM), nitrogen dioxide (NO), and ozone (O) at urban background monitors located in Augsburg, Germany. Covariate-adjusted generalized additive mixed-effects models were used to examine the associations between immediate (2-day average of same day and previous day as individual's blood withdrawal), short- (2-week moving average), and medium-term exposures (8-week moving average) to air pollution and metabolites. We further performed pathway analysis for the metabolites significantly associated with air pollutants in each exposure window.
Of 9,620 observations from 4,261 study participants, we included 5,772 (60.0%) observations from 2,583 (60.6%) participants in this analysis. Out of 108 metabolites that passed quality control, multiple significant associations between metabolites and air pollutants with several exposure windows were identified at a Bonferroni corrected p-value threshold (p < 3.9 × 10). We found the highest number of associations for NO, particularly at the medium-term exposure windows. Among the identified metabolic pathways based on the metabolites significantly associated with air pollutants, the glycerophospholipid metabolism was the most robust pathway in different air pollutants exposures.
Our study suggested that short- and medium-term exposure to air pollution might induce alterations of serum metabolites, particularly in metabolites involved in metabolic pathways related to inflammatory response and oxidative stress.
短期暴露于空气污染与心肺疾病有关,但潜在机制尚不清楚。本研究旨在探讨与大气污染即时、短期和中期暴露相关的血清代谢物变化。
我们使用了德国基于人群的奥格斯堡合作健康研究(KORA)S4 调查(1999-2001 年)和两次随访检查(F4:2006-08 年和 FF4:2013-14 年)的数据。基于质谱的靶向代谢组学用于定量血清样本中的代谢物。仅对具有重复代谢物测量的参与者进行了此项分析。我们在德国奥格斯堡的城市背景监测站收集了细颗粒物(PM)、粗颗粒物(PM)、二氧化氮(NO)和臭氧(O)的日平均数据。使用协变量调整的广义加性混合效应模型来研究大气污染物的即时(同日和前一天的 2 天平均作为个体采血的当天)、短期(2 周移动平均)和中期(8 周移动平均)暴露与代谢物之间的关联。我们还对每个暴露窗口中与空气污染物显著相关的代谢物进行了途径分析。
在 9620 个来自 4261 名研究参与者的观察值中,我们将 5772 个(60.0%)来自 2583 名(60.6%)参与者的观察值纳入了此次分析。在通过质量控制的 108 种代谢物中,在经过 Bonferroni 校正的 p 值阈值(p<3.9×10)下,有多种代谢物与空气污染物之间存在显著关联,且与多个暴露窗口有关。我们发现,NO 的关联数量最多,特别是在中期暴露窗口。在所识别的基于与空气污染物显著相关的代谢物的代谢途径中,甘油磷脂代谢是不同空气污染物暴露下最稳健的途径。
我们的研究表明,短期和中期暴露于空气污染可能会导致血清代谢物发生变化,尤其是与炎症反应和氧化应激相关的代谢途径中的代谢物。