Metabolomics Signatures of Exposure to Ambient Air Pollution: A Large-Scale Metabolome-Wide Association Study in the Cancer Prevention Study-II Nutrition Cohort

IF 10.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL 环境科学与技术 Pub Date : 2024-12-16 DOI:10.1021/acs.est.4c09592
Donghai Liang, Ziyin Tang, W. Ryan Diver, Jeremy A. Sarnat, Sabrina S. Chow, Haoran Cheng, Emily L. Deubler, Youran Tan, Stephanie M. Eick, Michael Jerrett, Michelle C. Turner, Ying Wang
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Abstract

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.

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现有的空气污染代谢组学研究结果并不一致,往往受到样本量小和单个空气污染物影响的限制。我们对癌症预防研究-II 营养队列中提供血样(1998-2001 年)的 1096 名女性(68.2 ± 5.7 岁)进行了一项全代谢组关联研究。研究采用了抽血当年个人接触颗粒物、二氧化氮、臭氧、二氧化硫和一氧化碳的年平均值。Metabolon 公司对血清样本进行了代谢组学分析。我们使用多元线性回归评估了单个空气污染物的影响,并使用量子g计算方法评估了混合物的影响,同时调整了混杂因素和错误发现率(FDR)。有 95 种代谢物与至少一种空气污染物或混合物有显著相关性(FDR < 0.05)。这些代谢物富集在与氧化应激、全身炎症、能量代谢、信号转导、核酸损伤和修复以及异种生物有关的通路中。有 60 个代谢物得到了 1 级或 2 级证据的证实,其中 21 个代谢物以前与空气污染暴露有关,包括牛磺酸、肌酐和癸二酸。总之,我们的研究结果在一个大样本中重复了之前的研究结果,并利用混合物分析方法为长期暴露于空气污染中的生物反应提供了新的见解。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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