TY - JOUR
T1 - Metabolomics-based methods for early disease diagnostics
AU - Gowda, G. A.Nagana
AU - Zhang, Shucha
AU - Gu, Haiwei
AU - Asiago, Vincent
AU - Shanaiah, Narasimhamurthy
AU - Raftery, Daniel
N1 - Funding Information:
This work was supported by the National Institutes of Health (NIH) Roadmap Initiative on Metabolomics Technology, Grant NIH/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) 3 R21/ R33 DK070290-01, a Collaborative Biomedical Research Grant from Purdue University/Discovery Park, and a grant from the Walther Cancer Institute. Daniel Raftery reports holding equity and an executive role in Matrix-Bio, Inc.
PY - 2008/9
Y1 - 2008/9
N2 - The emerging field of metabolomics, in which a large number of small-molecule metabolites from body fluids or tissues are detected quantitatively in a single step, promises immense potential for early diagnosis, therapy monitoring and for understanding the pathogenesis of many diseases. Metabolomics methods are mostly focused on the information-rich analytical techniques of NMR spectroscopy and mass spectrometry (MS). Analysis of the data from these high-resolution methods using advanced chemometric approaches provides a powerful platform for translational and clinical research and diagnostic applications. In this review, the current trends and recent advances in NMR- and MS-based metabolomics are described with a focus on the development of advanced NMR and MS methods, improved multivariate statistical data analysis and recent applications in the area of cancer, diabetes, inborn errors of metabolism and cardiovascular diseases.
AB - The emerging field of metabolomics, in which a large number of small-molecule metabolites from body fluids or tissues are detected quantitatively in a single step, promises immense potential for early diagnosis, therapy monitoring and for understanding the pathogenesis of many diseases. Metabolomics methods are mostly focused on the information-rich analytical techniques of NMR spectroscopy and mass spectrometry (MS). Analysis of the data from these high-resolution methods using advanced chemometric approaches provides a powerful platform for translational and clinical research and diagnostic applications. In this review, the current trends and recent advances in NMR- and MS-based metabolomics are described with a focus on the development of advanced NMR and MS methods, improved multivariate statistical data analysis and recent applications in the area of cancer, diabetes, inborn errors of metabolism and cardiovascular diseases.
KW - Cancer
KW - Coronary heart disease
KW - Diabetes
KW - Early detection
KW - Inborn errors of metabolism
KW - Mass spectrometry
KW - Metabolomics
KW - Metabonomics
KW - Multivariate statistical analysis
KW - NMR spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=52049108458&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52049108458&partnerID=8YFLogxK
U2 - 10.1586/14737159.8.5.617
DO - 10.1586/14737159.8.5.617
M3 - Review article
C2 - 18785810
AN - SCOPUS:52049108458
SN - 1473-7159
VL - 8
SP - 617
EP - 633
JO - Expert Review of Molecular Diagnostics
JF - Expert Review of Molecular Diagnostics
IS - 5
ER -