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Methods Mol Biol. 2017;1641:229-258. doi: 10.1007/978-1-4939-7172-5_13.

NMR and MS Methods for Metabolomics.

Author information

1
Preclinical Safety, Sanofi R&D, Hattersheim, Germany.
2
Investigational Toxicology, Metabolic Profiling and Clinical Pathology, Bayer Pharma AG, Muellerstr. 178, Berlin, 13353, Germany. bjoern.riefke@bayer.com.
3
School of Life Sciences, Institute for Chemistry and Bioanalytics, University of Applied Sciences, Northwestern Switzerland, Muttenz, Switzerland.
4
Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
5
Heythrop College UCL, Kensington Square, London W85HN, UK.
6
New Products and Medical, Near Patient Testing, Novartis, Basel, Switzerland.
7
Analytical Development 1, Bayer Pharma AG, Wupperal, 42096, Germany.

Abstract

Metabolomics, also often referred as "metabolic profiling," is the systematic profiling of metabolites in biofluids or tissues of organisms and their temporal changes. In the last decade, metabolomics has become more and more popular in drug development, molecular medicine, and other biotechnology fields, since it profiles directly the phenotype and changes thereof in contrast to other "-omics" technologies. The increasing popularity of metabolomics has been possible only due to the enormous development in the technology and bioinformatics fields. In particular, the analytical technologies supporting metabolomics, i.e., NMR, UPLC-MS, and GC-MS, have evolved into sensitive and highly reproducible platforms allowing the determination of hundreds of metabolites in parallel. This chapter describes the best practices of metabolomics as seen today. All important steps of metabolic profiling in drug development and molecular medicine are described in great detail, starting from sample preparation to determining the measurement details of all analytical platforms, and finally to discussing the corresponding specific steps of data analysis.

KEYWORDS:

GC-MS; Metabolic profiling; Metabolomics; NMR; UPLC-MS

PMID:
28748468
DOI:
10.1007/978-1-4939-7172-5_13
[Indexed for MEDLINE]

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