The exposome concept: a challenge and a potential driver for environmental health research

The exposome concept was defined in 2005 as encompassing all environmental exposures from conception onwards, as a new strategy to evidence environmental disease risk factors. Although very appealing, the exposome concept is challenging in many respects. In terms of assessment, several hundreds of t...

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Veröffentlicht in:European respiratory review Jg. 25; H. 140; S. 124 - 129
Hauptverfasser: Siroux, Valérie, Agier, Lydiane, Slama, Rémy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England European Respiratory Society 01.06.2016
Schlagworte:
Age Factors
Biomedical Research - methods
Computational Biology
Disease Susceptibility
Ecology, environment
Environmental Exposure - adverse effects
Environmental Health - methods
Environmental Monitoring
Environmental Pollutants - adverse effects
Environmental Sciences
Health
High-Throughput Screening Assays
Humans
Life Sciences
Life Style
Lung Science Conference
Risk Assessment
Risk Factors
Santé publique et épidémiologie
Time Factors
ISSN:0905-9180, 1600-0617, 1600-0617
Online-Zugang:Volltext
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Zusammenfassung:The exposome concept was defined in 2005 as encompassing all environmental exposures from conception onwards, as a new strategy to evidence environmental disease risk factors. Although very appealing, the exposome concept is challenging in many respects. In terms of assessment, several hundreds of time-varying exposures need to be considered, but increasing the number of exposures assessed should not be done at the cost of increased exposure misclassification. Accurately assessing the exposome currently requires numerous measurements, which rely on different technologies; resulting in an expensive set of protocols. In the future, high-throughput ‘omics technologies may be a promising technique to integrate a wide range of exposures from a small numbers of biological matrices. Assessing the association between many exposures and health raises statistical challenges. Due to the correlation structure of the exposome, existing statistical methods cannot fully and efficiently untangle the exposures truly affecting the health outcome from correlated exposures. Other statistical challenges relate to accounting for exposure misclassification or identifying synergistic effects between exposures. On-going exposome projects are trying to overcome technical and statistical challenges. From a public health perspective, a better understanding of the environmental risk factors should open the way to improved prevention strategies.
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ISSN:0905-9180
1600-0617
1600-0617
DOI:10.1183/16000617.0034-2016