title: Database searching for structural identification of metabolites in complex biofluids for mass spectrometry-based metabonomics.
abstract: MS and HPLC are commonly used for compound characterization and obtaining structural information; in the field of metabonomics, these two analytical techniques are often combined to characterize unknown endogenous or exogenous metabolites present in complex biological samples. Since the structures of a majority of these metabolites are not actually identified, the result of most metabonomic studies is a list of m/z values and retention times. However, without knowing actual structures, the biological significance of these 'features' cannot be determined. The process of identifying the structures of unknown compounds can be time intensive, costly and frequently requires the use of multiple orthogonal analytical techniques - this laborious procedure seems insurmountable for the long lists of unknowns that must be identified for each study. In addition, the limited sample volume and the extremely low concentration of most endogenous analytes frequently make purification and identification by other instrumentation nearly impossible. This review is intended to explore the problems and progress with current tools that are available for MS-based structure identification for both endogenous and exogenous metabolites.
authors.affiliation: Department of Pharmaceutical Sciences, University of Connecticut, 69 North Eagleville Rd, UNIT 3092, Storrs, CT 06269-3092, USA.
authors.forename: Tzipporah M
authors.initials: TM
authors.lastname: Kertesz
authors.forename: Dennis W
authors.initials: DW
authors.lastname: Hill
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Albaugh
authors.forename: Lowell H
authors.initials: LH
authors.lastname: Hall
authors.forename: L Mark
authors.initials: LM
authors.lastname: Hall
authors.forename: David F
authors.initials: DF
authors.lastname: Grant
mesh_terms: D001826:Body Fluids / Q000737:chemistry* / Q000378:metabolism*; D016208:Databases, Factual; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods*; D055432:Metabolomics / Q000379:methods*; D015394:Molecular Structure