The Handbook of Metabolic Phenotyping

Dr. John C. Lindon is a professor and senior research investigator in the Division of Computational and Systems Medicine, part of the Department of Surgery and Cancer, Imperial College London. He is also a founder, director of, and a consultant to Metabometrix Ltd, a company spun out of Imperial College to exploit the commercial possibilities of metabolic phenotyping. He is editor in chief of the Encyclopedia of Spectroscopy and Spectrometry and is on the editorial board of several journals. His major research interest is the use of NMR and other analytic methods coupled with multivariate statistics to study biofluids and tissues, a field now termed metabolic phenotyping. Dr. Jeremy K. Nicholson is the head of the Department of Surgery and Cancer at Imperial College London and has held honorary professorships at six universities. Additionally, he held two professorships at the Chinese Academy of Sciences, of which he was elected as an Albert Einstein Honorary Professor in 2014. He is also a founder, director, chief scientist, and chief scientist officer at Metabometrix Ltd. His research interests include spectroscopic and chemometric approaches to the investigation of disturbed metabolic processes in complex organisms. Dr. Elaine Holmes is the head of the Division of Computational and Systems Medicine and a professor of chemical biology in the Department of Surgery and Cancer at Imperial College London. She has over 20 years of experience in metabonomic technology and its applications. Her focus is on the discovery and development of metabolic biomarkers of disease in personalized health-care and population studies with significant contributions to cardiovascular, neuroscience, and infectious disease research. Recently, Prof. Holmes has driven large-scale profiling efforts defining the concept of the metabolome-wide association study (MWAS) in molecular epidemiology, specifically exploring the link between hypertension, diet, and metabolic profiles.

• 1. An Overview of Metabolic Phenotyping and Its Role in Systems Biology 2. NMR Spectroscopy Methods in Metabolic Phenotyping 3. The Role of Ultra Performance Liquid Chromatography-Mass Spectrometry in Metabolic Phenotyping 4. GC-MS-Based Metabolic Phenotyping 5. Metabolic Phenotyping Using Capillary Electrophoresis Mass Spectrometry 6. Supercritical Fluid Chromatography for Metabolic Phenotyping: Potential and Applications 7. The iKnife: Development and Clinical Applications of Rapid Evaporative Ionization Mass Spectrometry 8. Univariate Statistical Modeling, Multiple Testing Correction, and Visualization in Metabolome-Wide Association Studies 9. Multivariate Statistical Methods for Metabolic Phenotyping 10. Data-Driven Visualizations in Metabolic Phenotyping 11. Big Data and Databases for Metabolic Phenotyping 12. Progress in Standardization of Metabolic Phenotyping Data 13. Conception, Implementation and Operation of Large-Scale Metabolic Phenotyping Centres: Phenome Centres 14. Applications of Metabolic Phenotyping in Pharmaceutical Research and Development 15. Metabolic Phenotyping in Nutrition Research 16. Metabolic Phenotyping in Clinical Practice 17. Applications of Metabolic Phenotyping in Epidemiology 18. Influence of the Human Gut Microbiome on the Metabolic Phenotype 19. Linking Metabolic Phenotyping and Genomic Information 20. Metabolic Phenotyping: History, Status, and Prospects