There have been considerable improvements in therapeutics for chronic diseases. However, the maximum benefit of these or other options are hard to achieve in practice, due in part to the difficulties associated with determining optimal targets for such interventions. Recent developments have suggested that understanding changes in metabolite profiles will confer a high degree of predictive accuracy in terms of understanding the fundamental mechanisms resulting in perturbations of the metabolic state. Metabolomics involves the establishment of relationships between phenotype and a metabolic signature, which are key aspects of biological function. These approaches have been applied to the identification of serum/plasma metabolic markers involved in obesity, diabetes and vascular disease using animal models or in humans. Different kinds of metabolite profiling techniques using nuclear magnetic resonance spectroscopy, mass spectrometry, ultraperformance liquid chromatography and so on are currently employed to generate global metabolic profiles. Scientific information derived from these techniques can be applied to provide accurate and clinically useful prognostic/diagnostic capability for the management of major chronic diseases. One current consideration limiting the widespread use of metabolomic profiling is the analysis of its cost-effectiveness. In summary, it is hoped that the information derived from metabolite profiling will make it possible to suggest individualized therapies that more effectively treat disease.
Bibliographical noteFunding Information:
Work by the authors is supported by the Canadian Diabetes Association, Heart & Stroke Foundation of Canada, Canadian Institutes of Health Research and the National Research Foundation of Korea (M10642120002-06N4212-27 00210, 2012-0005604, 2012-0001851), Republic of Korea. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
All Science Journal Classification (ASJC) codes
- Internal Medicine
- Cardiology and Cardiovascular Medicine