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NMR-Based Metabolomics

  • Quincy Teng
Chapter

Abstract

Metabolomics is a relatively new and emerging field of the omics research compared to other well-established platforms (genomics, transcriptomics, and proteomics) and is rapidly growing as evidenced by the increasing number of publications in this field (Fig. 9.1). It studies the global profiles of metabolites in a biological system (cell, tissue, or organism) under a given set of conditions (Goodacre et al. 2004). Arguably, its history can be traced back to ancient times (1500–2000 bc) when traditional Chinese doctors used ants to detect high concentrations of glucose in patient’s urine for diagnosing diabetes (Van der Greef and Smilde 2005). The concept that individuals might have different “metabolic patterns” that can be detected in their biological fluids was first introduced by Roger Williams in the late 1940s (Williams 1956; Gates and Sweeley 1978). Since then, several terms (or definitions) have been proposed to describe the field of metabolomics. “Metabolic profile” was introduced by Horning and Horning (1971) to describe the quantitative measurement of metabolite concentrations in urine. “Metabolome” was proposed by Oliver et al. (1998) as referring to the complete set of small-molecule (<1 kDa) endogenous metabolites in an organism, and “metabonomics” by Nicholson et al. as “the quantitative measurement of the dynamic multiparametric response to living systems to pathophysiological stimuli or genetic modification” (Nicholson et al. 1999). Fiehn subsequently extended “metabolome” terminology to metabolomics as the comprehensive and quantitative analysis of all metabolites of an organism (Fiehn 2001). Although these terms are frequently used interchangeably, there is a growing consensus that the field is named as metabolomics, as reflected by the establishment of the Metabolomics Society (an international society) in 2004 and its official journal Metabolomics in 2005.

Keywords

Principle Component Analysis Magical Angle Spin mCRC Patient Loading Plot Lipophilic Metabolite 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Pharmaceutical and Biomedical Sciences College of PharmacyUniversity of GeorgiaAthensUSA

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