Cited by 114Health, Environment, Cognitive AgingMetabolomics and Mass Spectrometry StudiesBioinformatics and Genomic Networks

Biomarkers intersect with the exposome

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Rappaport, Stephen M.·2012·Biomarkers

Abstract

The exposome concept promotes use of omic tools for discovering biomarkers of exposure and biomarkers of disease in studies of diseased and healthy populations. A two-stage scheme is presented for profiling omic features in serum to discover molecular biomarkers and then for applying these biomarkers in follow-up studies. The initial component, referred to as an exposome-wide-association study (EWAS), employs metabolomics and proteomics to interrogate the serum exposome and, ultimately, to identify, validate and differentiate biomarkers of exposure and biomarkers of disease. Follow-up studies employ knowledge-driven designs to explore disease causality, prevention, diagnosis, prognosis and treatment.

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Crossref · 10.3109/1354750x.2012.691553

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  • MWASs can be regarded as a special case of the exposome-wide association study, which investigates disease associations with all exposures to low- and high-molecular-weight compounds.

    “In fact, MWASs can be regarded as a special case of the exposome-wide association study, which investigates disease associations with all exposures to low-and high-molecular-weight compounds (167).”

    From The food metabolome: a window over dietary exposure (2014) · cites this paper as [167]

  • Given thousands of potentially important exposures, MWASs and exposome-wide association studies move away from knowledge-driven designs focused on a priori hypotheses toward data-driven designs using untargeted or semitargeted sets of analytes.

    “Given the thousands of potentially important exposures to consider, MWASs and exposome-wide association studies move away from knowledge-driven designs that focus on a priori hypotheses about particular exposures toward data-driven designs using untargeted or semitargeted sets of analytes (167).”

    From The food metabolome: a window over dietary exposure (2014) · cites this paper as [167]

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Authors
Rappaport, S. M.
Affiliations
University of California, Berkeley (US)
Corresponding author
Rappaport, Stephen M.
Venue
Biomarkers
Published
2012-06-07
Volume
17
Issue
6
Pages
483-489
ISSN
  • 1354-750X (ISSN-L)
  • 1366-5804
OpenAlex
W1977512191
Cited by
114
References
68
Citations by year
2025: 4 · 2024: 3 · 2023: 6 · 2022: 4 · 2021: 5 · 2020: 6 · 2019: 9 · 2018: 10 · 2017: 12 · 2016: 12 · 2015: 16 · 2014: 17 · 2013: 10
FWCI
9.54
Type
journal article
Language
en
Open access
Locations
  • Biomarkers (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Environmental Health Sciences (U54ES016115, P42ES004705)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
exposome, biomarkers of exposure, disease biomarkers, exposome-wide association studies, serum metabolomics, serum proteomics, disease causality, disease prevention, diagnosis, prognosis, treatment
MeSH terms
Blood Proteins, Cardiovascular Diseases, Environmental Exposure, Humans, Neoplasms, Biomarkers, Neurodegenerative Diseases, Proteome, Proteomics, Metabolomics, Metabolome

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