The Handbook of Metabolic Phenotyping

Authors

John C. Lindon Imperial College London, London, UK. 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. Jeremy K. Nicholson Imperial College London, London, UK. 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. Elaine Holmes Imperial College London, London, UK. 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.