Pattern recognition and biomarker validation using quantitative 1H-NMR based metabolomics

ANYL 208

Natalie Serkova, Natalie.Serkova@uchsc.edu, Department of Anesthesiology, University of Colorado Health Sciences Center, 4200 East Ninth Avenue, Suite UH-2122, PO Box B113, Denver, CO 80262
The collection of global metabolic data and their interpretation (both spectral and biochemical) using modern spectroscopic techniques and appropriate statistical approaches, are known as “metabolic profiling”, “metabonomics” or “metabolomics”. The present presentation addresses 1H-NMR based metabolomics principles and its application in biomedical science, with special emphasis on its potential in translational research in transplantation, oncology and drug toxicity or discovery. Various steps in metabolomics analysis are described in order to: (i) illustrate the types of biological samples, their respective handling and preparation for 1H-NMR-analysis; (ii) provide a rationale for using pattern recognition techniques (spectral data base concept) versus quantitative 1H-NMR based metabolomics (metabolite data base concept) and (iii) identify necessary technological and logistical future developments which will allow 1H-NMR-based metabolomics to become an established tool in biomedical research and patient care. Metabolic markers in blood and their validation will be given for human transplantation (immunosuppressant toxicity and delayed graft functions), oncology (cancer detection and treatment) and animal models of metabolic diseases (obesity).