首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Use of High-Resolution Metabolomics to Identify Potential Metabolic Pathways Associated with Traffic-Related Air Pollutants
【24h】

Use of High-Resolution Metabolomics to Identify Potential Metabolic Pathways Associated with Traffic-Related Air Pollutants

机译:使用高分辨率代谢组学确定与交通相关的空气污染物相关的潜在代谢途径

获取原文

摘要

Background. High-resolution metabolomics (HRM) has emerged as a promising analytical platform for measuring environmental exposures and corresponding biological response. Questions remain, however, whether HRM can as a sensitive tool for biomarker discovery, especially over short exposure durations. Methods. We conducted HRM to identify potential metabolic pathways and internal biomarkers associated with primary traffic emissions within the Dorm Room Inhalation to Vehicle Emission (DRIVE) study. We measured a suite of air pollutants at multiple ambient and indoor sites along a major highway artery over 12 weeks. In parallel, 54 students living in dormitories either near (20 m) or far (1.4 km) from the highway underwent personal sampling and contributed plasma and saliva. We conducted untargeted HRM on all samples, followed by a Metabolome-Wide Association Study (MWAS), pathway analyses and tandem mass spectrometry (MS/MS). Results. In total, over 20K metabolite features were reliably extracted from plasma, and over 29K from saliva. Over 1300 features were significantly associated with at least one or more traffic pollutant (e.g., black carbon, carbon monoxide, nitrogen oxides (p<0.05), when controlling for covariates and false discovery rate. Pathway analysis indicated elicitation of several inflammatory pathways, including leukotriene metabolism and vitamin E metabolism. We validated 10 metabolites associated with traffic pollutants using MS/MS, including hypoxanthine, g-linolenic acid, L-Histidine, L-Proline, and L-Arginine. Conclusions. We successfully identified and verified several pathways and metabolites using HRM, most consisting of endogenous metabolic signals related to oxidative stress, inflammatory response and nucleic acid damage and repair. These findings offer promising initial evidence of the potential of this analytic platform as a tool for biomarker discovery to ubiquitous environmental stressors.
机译:背景。高分辨率代谢组学(HRM)已成为一种有前途的分析平台,可用于测量环境暴露和相应的生物学反应。但是,HRM是否可以作为发现生物标志物的敏感工具仍然存在问题,尤其是在短时间的暴露时间内。方法。我们开展了人力资源管理,以在宿舍房间吸入至车辆排放(DRIVE)研究中识别与主要交通排放相关的潜在代谢途径和内部生物标志物。我们在12周内测量了沿主要公路干线的多个环境和室内场所的一系列空气污染物。同时,有54名住在高速公路附近(20 m)或远(1.4 km)的宿舍的学生接受了个人采样,并贡献了血浆和唾液。我们对所有样品进行了无针对性的HRM,然后进行了代谢组全关联研究(MWAS),途径分析和串联质谱(MS / MS)。结果。总共,可靠地从血浆中提取了超过20K的代谢物特征,从唾液中可靠地提取了超过29K的代谢物特征。在控制协变量和错误发现率时,至少1300种特征与至少一种或多种交通污染物(例如黑碳,一氧化碳,氮氧化物(p <0.05))显着相关。白三烯代谢和维生素E代谢我们使用MS / MS验证了10种与交通污染物相关的代谢物,包括次黄嘌呤,g-亚麻酸,L-组氨酸,L-脯氨酸和L-精氨酸。以及使用HRM的代谢物,其中大部分由与氧化应激,炎症反应以及核酸损伤和修复有关的内源性代谢信号组成,这些发现为该分析平台作为发现生物标志物提供了广泛的环境压力源的潜在工具提供了有希望的初步证据。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号