Reference : Historical Exposomics and High Resolution Mass Spectrometry
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Chemistry
Historical Exposomics and High Resolution Mass Spectrometry
Aurich, Dagny mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Environmental Cheminformatics >]
Miles, Owen mailto [Luxembourg Institute of Science & Technology - LIST]
Schymanski, Emma mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Environmental Cheminformatics >]
Oxford University Press
[en] exposome ; high resolution mass spectrometry ; history ; health ; cheminformatics ; pollutants
[en] Awareness of the exposome and its influence on health has increased in the last decade. As past exposures can cause changes in human health many years later, delving into the past is relevant for both diagnostic and prevention purposes, but remains a challenging task. Lifestyle, diet, and socioeconomic information of the past should be well documented and compatible with modern data science methods. While chemical analysis nowadays makes use of high resolution mass spectrometry (HR-MS) for highly sensitive and comprehensive coverage of samples plus retrospective analysis, these data archives are in the very early stages. Since past measurements are often only available for a limited set of chemicals, adding to this knowledge requires careful selection of sample types and sampling sites, which may not always be available. The choice of analytes and analytical methods should be suitable for the study question —which is not always clear in advance in exposomics. Data interpretation and the use of appropriate databases are indispensable for a proper exposure assessment, and as databases and knowledge grow, re-analysis of physically or digitally archived samples could enable “continuous monitoring” efforts. This review focuses on the chemical analytical approaches necessary to capture the complexity of the historical exposome.
Various sample types, analytes as well as analyses and data interpretation methods are discussed in relation to chemical exposures, while the connection to health remains in focus. It ends with perspectives and challenges in assessing the historical exposome, discussing how we can “learn from the past” to build a better future.
Luxembourg Centre for Systems Biomedicine (LCSB): Environmental Cheminformatics (Schymanski Group)
University of Luxembourg - UL, Institute for Advanced Studies ; Fonds National de la Recherche - FnR
LuxTIME (Audacity-2019)
Researchers ; Professionals ; Students ; General public ; Others
© The Author(s) 2022. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
FnR ; FNR12341006 > Emma Schymanski > ECHIDNA > Environmental Cheminformatics To Identify Unknown Chemicals And Their Effects > 01/10/2018 > 30/09/2023 > 2018

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