Meeting-in-the-middle using metabolic profiling - a strategy for the identification of intermediate biomarkers in cohort studies

Background: Predictive disease risk biomarkers that can be linked to exposure have proved difficult to identify in case-control studies. Methods: Parallel statistical analysis of the correlation between 1H NMR profiles from plasma samples collected before disease onset (EPIC cohort), versus exposure...

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Bibliographic Details
Published in:Biomarkers 2011-02, Vol.16 (1), p.83-88
Main Authors: Chadeau-Hyam, Marc, Athersuch, Toby J., Keun, Hector C., De Iorio, Maria, Ebbels, Timothy M.D., Jenab, Mazda, Sacerdote, Carlotta, Bruce, Stephen J, Holmes, Elaine, Vineis, Paolo
Format: Article
Language:English
Subjects:
Biomarkers - analysis
Biomarkers - blood
Breast Neoplasms - blood
Breast Neoplasms - epidemiology
Case-Control Studies
Cohort Studies
Colonic Neoplasms - blood
Colonic Neoplasms - epidemiology
Diet - statistics & numerical data
Dietary Fiber - administration & dosage
Dietary Fiber - statistics & numerical data
Dietary Proteins - administration & dosage
Epidemiologic Research Design
Female
Humans
intermediate biomarkers
Magnetic Resonance Spectroscopy
metabolic profiles
Metabolome
metabonomics
Molecular Epidemiology
nested design
Plasma - chemistry
Risk Factors
Smoking - adverse effects
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Summary:Background: Predictive disease risk biomarkers that can be linked to exposure have proved difficult to identify in case-control studies. Methods: Parallel statistical analysis of the correlation between 1H NMR profiles from plasma samples collected before disease onset (EPIC cohort), versus exposure to dietary compounds, and follow-up disease endpoints (colon and breast cancer) was performed. Results: Metabonomic signatures associated with colon cancer and dietary fiber intake (a protective factor according to epidemiological studies) were identified. Conclusion: This implementation of the novel "meet-in-the-middle" analytical strategy indicates how case-control studies nested in prospectively collected cohorts may reveal intermediate biomarkers linking exposure and disease.
ISSN:1354-750X
1366-5804
DOI:10.3109/1354750X.2010.533285