Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
Eur Respir Rev. 2022 Aug 10;31(165). doi: 10.1183/16000617.0038-2022. Print 2022 Sep 30.
Previous studies have explored the relationships of air pollution and metabolic profiles with lung function. However, the metabolites linking air pollution and lung function and the associated mechanisms have not been reviewed from a life-course perspective. Here, we provide a narrative review summarising recent evidence on the associations of metabolic profiles with air pollution exposure and lung function in children and adults. Twenty-six studies identified through a systematic PubMed search were included with 10 studies analysing air pollution-related metabolic profiles and 16 studies analysing lung function-related metabolic profiles. A wide range of metabolites were associated with short- and long-term exposure, partly overlapping with those linked to lung function in the general population and with respiratory diseases such as asthma and COPD. The existing studies show that metabolomics offers the potential to identify biomarkers linked to both environmental exposures and respiratory outcomes, but many studies suffer from small sample sizes, cross-sectional designs, a preponderance on adult lung function, heterogeneity in exposure assessment, lack of confounding control and omics integration. The ongoing EXposome Powered tools for healthy living in urbAN Settings (EXPANSE) project aims to address some of these shortcomings by combining biospecimens from large European cohorts and harmonised air pollution exposure and exposome data.
先前的研究已经探讨了空气污染和代谢特征与肺功能之间的关系。然而,从生命历程的角度来看,还没有对将空气污染与肺功能联系起来的代谢物以及相关机制进行综述。在这里,我们提供了一个叙述性综述,总结了最近关于儿童和成人代谢特征与空气污染暴露和肺功能之间关联的证据。通过系统的 PubMed 搜索确定了 26 项研究,其中 10 项研究分析了与空气污染相关的代谢特征,16 项研究分析了与肺功能相关的代谢特征。大量的代谢物与短期和长期暴露相关,部分与普通人群中与肺功能相关的代谢物以及哮喘和 COPD 等呼吸道疾病相关的代谢物重叠。现有研究表明,代谢组学有可能识别出与环境暴露和呼吸结局相关的生物标志物,但许多研究存在样本量小、横断面设计、成人肺功能占主导地位、暴露评估的异质性、缺乏混杂因素控制和组学整合等问题。正在进行的“EXposome 为城市环境中的健康生活提供有力工具”(EXPANSE)项目旨在通过结合来自大型欧洲队列的生物样本和协调一致的空气污染暴露和暴露组数据来解决其中的一些缺陷。