Document Detail


Investigations of the effects of gender, diurnal variation, and age in human urinary metabolomic profiles.
MedLine Citation:
PMID:  17702530     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Metabolomics may have the capacity to revolutionize disease diagnosis through the identification of scores of metabolites that vary during environmental, pathogenic, or toxicological insult. NMR spectroscopy has become one of the main tools for measuring these changes since an NMR spectrum can accurately identify metabolites and their concentrations. The predominant approach in analyzing NMR data has been through the technique of spectral binning. However, identification of spectral areas in an NMR spectrum is insufficient for diagnostic evaluation, since it is unknown whether areas of interest are strictly caused by metabolic changes or are simply artifacts. In this paper, we explore differences in gender, diurnal variation, and age in a human population. We use the example of gender differences to compare traditional spectral binning techniques (NMR spectral areas) to novel targeted profiling techniques (metabolites and their concentrations). We show that targeted profiling produces robust models, generates accurate metabolite concentration data, and provides data that can be used to help understand metabolic differences in a healthy population. Metabolites relating to mitochondrial energy metabolism were found to differentiate gender and age. Dietary components and some metabolites related to circadian rhythms were found to differentiate time of day urine collection. The mechanisms by which these differences arise will be key to the discovery of new diagnostic tests and new understandings of the mechanism of disease.
Authors:
Carolyn M Slupsky; Kathryn N Rankin; James Wagner; Hao Fu; David Chang; Aalim M Weljie; Erik J Saude; Bruce Lix; Darryl J Adamko; Sirish Shah; Russ Greiner; Brian D Sykes; Thomas J Marrie
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-08-17
Journal Detail:
Title:  Analytical chemistry     Volume:  79     ISSN:  0003-2700     ISO Abbreviation:  Anal. Chem.     Publication Date:  2007 Sep 
Date Detail:
Created Date:  2007-09-14     Completed Date:  2007-12-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370536     Medline TA:  Anal Chem     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6995-7004     Citation Subset:  IM    
Affiliation:
Department of Medicine and Magnetic Resonance Diagnostic Centre, University of Alberta, Edmonton, Alberta, Canada. carolyn.slupsky@ualberta.ca
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MeSH Terms
Descriptor/Qualifier:
Acetylcarnitine / urine
Adult
Age Factors*
Carnitine / urine
Circadian Rhythm / physiology*
Creatine / urine
Female
Fumarates / urine
Humans
Magnetic Resonance Spectroscopy
Male
Middle Aged
Sex Factors*
Urinary Tract / metabolism*
Chemical
Reg. No./Substance:
0/Fumarates; 14992-62-2/Acetylcarnitine; 541-15-1/Carnitine; 57-00-1/Creatine

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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