De Iorio, M;
De Iorio, M;
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Meeting-in-the-middle using metabolic profiling - a strategy for the identification of intermediate biomarkers in cohort studies.
83 - 88.
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 H-1 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.
|Title:||Meeting-in-the-middle using metabolic profiling - a strategy for the identification of intermediate biomarkers in cohort studies|
|Keywords:||cohort studies, metabonomics, nested design, metabolic profiles, intermediate biomarkers, URINARY-EXCRETION, NMR-SPECTROSCOPY, MEAT CONSUMPTION, CANCER-RESEARCH, BLOOD-SERUM, NUTRITION, PLASMA, TOXICOLOGY, DIET, METABONOMICS|
|UCL classification:||UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science|
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