Liang Donghai, Tang Ziyin, Diver W Ryan, Sarnat Jeremy A, Chow Sabrina S, Cheng Haoran, Deubler Emily L, Tan Youran, Eick Stephanie M, Jerrett Michael, Turner Michelle C, Wang Ying
Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, Georgia 30322, United States.
Department of Population Science, American Cancer Society, 270 Peachtree Street NW, Suite 1300, Atlanta, Georgia 30303, United States.
Environ Sci Technol. 2025 Jan 14;59(1):212-223. doi: 10.1021/acs.est.4c09592. Epub 2024 Dec 16.
Existing air pollution metabolomics studies showed inconsistent results, often limited by small sample size and individual air pollutants effects. We conducted a metabolome-wide association study among 1096 women (68.2 ± 5.7 years) who provided blood samples (1998-2001) within the Cancer Prevention Study-II Nutrition Cohort. Annual average individual exposures to particulate matter, nitrogen dioxide, ozone, sulfur dioxide, and carbon monoxide in the year of blood draw were used. Metabolomics profiling was conducted on serum samples by Metabolon. We evaluated the individual air pollutants effects using multiple linear regression and the mixture effect using quantile g-computation, adjusting for confounders and false discovery rate (FDR). Ninety-five metabolites were significantly associated with at least one air pollutant or mixture (FDR < 0.05). These metabolites were enriched in pathways related to oxidative stress, systemic inflammation, energy metabolism, signals transduction, nucleic acid damage and repair, and xenobiotics. Sixty metabolites were confirmed with level 1 or 2 evidence, among which 21 have been previously linked to air pollution exposure, including taurine, creatinine, and sebacate. Overall, our results replicate prior findings in a large sample and provide novel insights into biological responses to long-term air pollution exposure using mixture analysis.
现有的空气污染代谢组学研究结果不一致,常常受到样本量小和单一空气污染物影响的限制。我们在癌症预防研究II营养队列中,对1096名女性(68.2±5.7岁)进行了全代谢组关联研究,这些女性在1998年至2001年期间提供了血液样本。使用采血年份中个体对颗粒物、二氧化氮、臭氧、二氧化硫和一氧化碳的年平均暴露量。通过Metabolon对血清样本进行代谢组学分析。我们使用多元线性回归评估单一空气污染物的影响,并使用分位数g计算评估混合物的影响,同时对混杂因素和错误发现率(FDR)进行了校正。95种代谢物与至少一种空气污染物或混合物显著相关(FDR<0.05)。这些代谢物在与氧化应激、全身炎症、能量代谢、信号转导、核酸损伤与修复以及外源性物质相关的通路中富集。60种代谢物得到了1级或2级证据的证实,其中21种此前已与空气污染暴露相关,包括牛磺酸、肌酐和癸二酸。总体而言,我们的结果在大样本中重复了先前的发现,并通过混合物分析为长期空气污染暴露的生物学反应提供了新的见解。