title: NMR-based metabolomics.
abstract: Similar to genomics and proteomics which yield vast amounts of data about the expression of genes and proteins, metabolomics refers to the whole metabolic profile of the cell. The focus of this report concerns the use of nuclear magnetic resonance (NMR) spectroscopy for metabolic analyses and, in particular, its use in toxicology for examining the metabolic profile of biofluids. Examples from the literature will demonstrate how 1H NMR and pattern recognition methods are used to obtain the urinary metabolic profile, and how this profile is affected by exposure to various toxicants. These particular studies which focus on the metabolic profiles of biofluids, specifically urine, are referred to as metabonomics. NMR-based metabonomics provides a means to categorize organ-specific toxicity, monitor the onset and progression of toxicological effects, and identify biomarkers of toxicity. A future challenge, however, is to describe the cellular metabolome for purposes of understanding cellular functions (i.e., metabolomics). Thus the capabilities and advantages of multinuclear NMR to provide metabolic information in cells and tissues will also be discussed. Such information is essential if metabolomics is to provide a complementary dataset which together with genomics and proteomics can be used to construct computer network models to describe cellular functions.
authors.affiliation: Department of Biochemistry and Molecular Biology, WSU Magnetic Resonance Laboratory, Cox Institute, 3525 Southern Blvd., Wright State University School of Medicine, Dayton, OH 45429, USA. nicholas.reo@wright.edu
authors.forename: Nicholas V
authors.initials: NV
authors.lastname: Reo
mesh_terms: D000818:Animals; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008660:Metabolism; D010363:Pattern Recognition, Automated; D018570:Risk Assessment; D014116:Toxicology / Q000379:methods*; D015262:Xenobiotics / Q000652:urine*
chemical_list: D015262:Xenobiotics