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This study evaluates how blood serum handling conditions can affect the concentrations of ~1,000 serum metabolites and attempts to quantify the degree of attenuation and/or potential bias in epidemiologic associations that may result from less than optimal sample handling conditions.
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Metabolomics, the simultaneous quantification of concentrations of hundreds or thousands of metabolites simultaneously in a biological matrix, is a versatile analytical technique capable of accelerating biomarker-based discoveries in nutritional science. Recently, metabolomics has been applied to samples collected in feeding studies (1) and epidemiologic studies (2) to identify dozens of novel potential dietary biomarkers. Several large prospective cohort studies, many of which are collaborating in a metabolomics consortium led by the National Cancer Institute, have recently applied metabolomics to banked samples. This has made nutrition-related biomarkers suddenly available for tens of thousands of participants with follow-up for disease endpoints, enabling truly large-scale nutritional biomarkers and disease studies.
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Data sourced from clinicaltrials.gov
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