The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Biomarkers intersect with the exposome
Open accessAbstract
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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“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]
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“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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Cites
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Hill, A. B. (2015) · Journal of the Royal Society of Medicine · doi:10.1177/0141076814562718 · Cited by 7,804
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Wild, C. P. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr236 · Cited by 1,416
Research works printed but not linked: 1
- Hill AB, 1965, Proc R Soc Med, 58, 295
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Sorted by citations
The food metabolome: a window over dietary exposure
Scalbert, A., Brennan, L., Manach, C., Andres-Lacueva, C., Dragsted, L. O., Draper, J., Rappaport, S. M., van der Hooft, J. J., & Wishart, D. S. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.076133 · Cited by 519
Self-citationBiomarkers of Parkinson’s disease: Present and future
Miller, D. B., & O’Callaghan, J. P. (2015) · Metabolism · doi:10.1016/j.metabol.2014.10.030 · Cited by 358
The blood exposome and its role in discovering causes of disease
Rappaport, S. M., Barupal, D. K., Wishart, D., Vineis, P., & Scalbert, A. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1308015 · Cited by 393
Self-citationSystems Toxicology: From Basic Research to Risk Assessment
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Agustí, A. G. N., Melén, E., DeMeo, D. L., Breyer‐Kohansal, R., & Faner, R. (2022) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(21)00555-5 · Cited by 346
Metadata
- Authors
- Rappaport, S. M.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Rappaport, Stephen M.
- Venue
- Biomarkers
- Publisher
- Informa UK Limited
- Published
- 2012-06-07
- Volume
- 17
- Issue
- 6
- Pages
- 483-489
- ISSN
- 1354-750X (ISSN-L)
- 1366-5804
- PMC
- PMC4763608
- 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
- green
- www.ncbi.nlm.nih.gov
- 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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