Koelmel Jeremy P, Lin Elizabeth Z, Guo Pengfei, Zhou Jieqiong, He Jucong, Chen Alex, Gao Ying, Deng Fuchang, Dong Haoran, Liu Yuanyuan, Cha Yu'e, Fang Jianlong, Beecher Chris, Shi Xiaoming, Tang Song, Godri Pollitt Krystal J
Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, CT, 06520, USA.
Department of Computer Science, Yale University, New Haven, CT, 06520, USA.
Environ Pollut. 2021 Feb 1;270:116228. doi: 10.1016/j.envpol.2020.116228. Epub 2020 Dec 6.
Environmental exposures are one of the greatest threats to human health, yet we lack tools to answer simple questions about our exposures: what are our personal exposure profiles and how do they change overtime (external exposome), how toxic are these chemicals, and what are the sources of these exposures? To capture variation in personal exposures to airborne chemicals in the gas and particulate phases and identify exposures which pose the greatest health risk, wearable exposure monitors can be deployed. In this study, we deployed passive air sampler wristbands with 84 healthy participants (aged 60-69 years) as part of the Biomarkers for Air Pollutants Exposure (China BAPE) study. Participants wore the wristband samplers for 3 days each month for five consecutive months. Passive samplers were analyzed using a novel gas chromatography high resolution mass spectrometry data-processing workflow to overcome the bottleneck of processing large datasets and improve confidence in the resulting identified features. The toxicity of chemicals observed frequently in personal exposures were predicted to identify exposures of potential concern via inhalation route or other routes of airborne contaminant exposure. Three exposures were highlighted based on elevated toxicity: dichlorvos from insecticides (mosquito/malaria control), naphthalene partly from mothballs, and 183 polyaromatic hydrocarbons from multiple sources. Other exposures explored in this study are linked to diet and personal care products, cigarette smoke, sunscreen, and antimicrobial soaps. We highlight the potential for this workflow employing wearable passive samplers for prioritizing chemicals of concern at both the community and individual level, and characterizing sources of exposures for follow up interventions.
环境暴露是对人类健康的最大威胁之一，但我们缺乏工具来回答有关我们暴露情况的简单问题：我们的个人暴露概况是什么，它们如何随时间变化（外部暴露组），这些化学物质的毒性如何，以及这些暴露的来源是什么？为了捕捉个人对气态和颗粒态空气中化学物质暴露的变化，并识别出对健康风险最大的暴露，可部署可穿戴式暴露监测器。在本研究中，作为空气污染暴露生物标志物（中国BAPE）研究的一部分，我们让84名健康参与者（年龄在60 - 69岁之间）佩戴了被动空气采样器腕带。参与者连续五个月每月佩戴腕带采样器3天。使用一种新颖的气相色谱高分辨率质谱数据处理工作流程对被动采样器进行分析，以克服处理大型数据集的瓶颈，并提高对所得识别特征的可信度。对个人暴露中频繁观察到的化学物质的毒性进行预测，以识别通过吸入途径或其他空气传播污染物暴露途径可能引起关注的暴露。基于毒性升高突出了三种暴露：杀虫剂（用于控制蚊子/疟疾）中的敌敌畏、部分来自樟脑丸的萘以及来自多种来源的183种多环芳烃。本研究中探索的其他暴露与饮食、个人护理产品、香烟烟雾、防晒霜和抗菌肥皂有关。我们强调了这种使用可穿戴被动采样器的工作流程在社区和个体层面确定关注化学物质优先级以及表征暴露来源以便进行后续干预的潜力。
