期刊
JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 63, 期 9, 页码 970-979出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2009.10.001
关键词
Biomarkers; INTERMAP; INTERSALT; Metabolic phenotyping; Metabonomics; NMR spectroscopy
资金
- National Heart, Lung, and Blood Institute, Bethesda, Maryland [RO1 HL50490, RO1 HL084228]
- Ministry of Education, Science, Sports, and Culture, Tokyo. Japan [090357003]
- national agencies in the Peoples Republic of China and in the United Kingdom
- Medical Research Council [G0801056, G0801056B] Funding Source: researchfish
- MRC [G0801056] Funding Source: UKRI
Background: Metabolic phenotyping of humans allows information to be captured on the interactions between dietary, xenobiotic, other lifestyle and environmental exposures, and genetic variation, which together influence the balance between health and disease risks at both individual and population levels Objectives: We describe here the main procedures in large-scale metabolic phenotyping and their application to metabolome-wide association (MWA) studies. Methods: By use of high-throughput technologies and advanced spectroscopic methods, application of metabolic profiling to large-scale epidemiologic sample collections, Including metabolome-wide association (MWA) studies for biomarker discovery and identification Discussion: Metabolic profiling at epidemiologic scale requires optimization of experimental protocol to maximize reproducibility, sensitivity, and quantitative reliability, and to reduce analytical drift Customized multivariate statistical modeling approaches are needed for effective data visualization and biomarker discovery with control for false-positive associations since 100s or 1.000s of complex metabolic spectra are being processed Conclusion: Metabolic profiling is an exciting addition to the armamentarium of the epidemiologist for the discovery of new disease-risk biomarkers and diagnostics, and to provide novel insights into etiology, biological mechanisms, and pathways (C) 2010 Elsevier Inc All rights reserved
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