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一种可扩展的工作流程,用于描述人类暴露组特征。

A scalable workflow to characterize the human exposome.

机构信息

Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA.

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

出版信息

Nat Commun. 2021 Sep 22;12(1):5575. doi: 10.1038/s41467-021-25840-9.

DOI:10.1038/s41467-021-25840-9
PMID:34552080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8458492/
Abstract

Complementing the genome with an understanding of the human exposome is an important challenge for contemporary science and technology. Tens of thousands of chemicals are used in commerce, yet cost for targeted environmental chemical analysis limits surveillance to a few hundred known hazards. To overcome limitations which prevent scaling to thousands of chemicals, we develop a single-step express liquid extraction and gas chromatography high-resolution mass spectrometry analysis to operationalize the human exposome. We show that the workflow supports quantification of environmental chemicals in human plasma (200 µL) and tissue (≤100 mg) samples. The method also provides high resolution, sensitivity and selectivity for exposome epidemiology of mass spectral features without a priori knowledge of chemical identity. The simplicity of the method can facilitate harmonization of environmental biomonitoring between laboratories and enable population level human exposome research with limited sample volume.

摘要

用对人类外核组的理解来补充基因组是当代科学技术的一个重要挑战。数以万计的化学物质在商业中被使用,但是针对环境化学分析的成本限制了对几百种已知危害的监测。为了克服限制因素,使分析扩展到数千种化学物质,我们开发了一种一步式快速液体提取和气相色谱高分辨率质谱分析方法,使人类外核组能够实际应用。我们表明,该工作流程支持对人类血浆(200µL)和组织(≤100mg)样本中环境化学物质的定量分析。该方法还提供了高分辨率、灵敏度和选择性,用于在没有化学物质身份先验知识的情况下进行外核组的暴露组学分析。该方法的简单性可以促进实验室之间的环境生物监测的协调,并能够在有限的样本量下进行人群水平的人类外核组研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/217d1efb2a5d/41467_2021_25840_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/75f891f2a8ec/41467_2021_25840_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/2e69fa1aa480/41467_2021_25840_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/a50190af3406/41467_2021_25840_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/1f9c66a13029/41467_2021_25840_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/18292dcea72d/41467_2021_25840_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/217d1efb2a5d/41467_2021_25840_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/75f891f2a8ec/41467_2021_25840_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/2e69fa1aa480/41467_2021_25840_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/a50190af3406/41467_2021_25840_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/1f9c66a13029/41467_2021_25840_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/18292dcea72d/41467_2021_25840_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a97c/8458492/217d1efb2a5d/41467_2021_25840_Fig6_HTML.jpg

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