Background

The overall theme of my research to date centers around the characterisation of the human metabolome in health and disease from large epidemiological studies using a combination of state-of-the-art analytical and chemometric modelling techniques (metabonomics). I am particularly interested in the applicability of metabolome wide association studies in personalised health care and in understanding xenobiotic metabolism. 

Research goals include data mining and visualisation in chemistry and biology; multivariate statistics; design of experiments; statistical computing; pattern recognition of biological specimens; metabonomic analysis; systems biology and toxicology.

Publications

1.  E Holmes*, RL Loo*,  J Stamler, et al. Human metabolic phenotype diversity and its association with diet and blood pressure.  Nature, 2008, 453, 396-400.  * Joint first author.

2.  E Holmes*, RL Loo*,  O Cloarec, et al. Detection of urinary drug metabolite (xenometabolome) signatures in molecular epidemiology studies via statistical total correlation (NMR) spectroscopy. Anal. Chem. 2007, 79 (7); 2629 -40. * Joint first author.

Poster presentation:

1.  The 48th Cardiovascular Disease Epidemiology and Prevention, and Nutrition, Physical Activity and Metabolism, 2008, Colorado.  Poster title: A metabonomic approach to exploring the microbiome map of obesity in American population samples, the INTERMAP study

2.  The second scientific meeting at the metabolomic society 2006, Boston.  Poster title: Identification of latent drug metabolite signatures in human populations using statistical correlation spectroscopy (STOCSY).

3.  The XIV internation sympossium on atherosclerosis 2006, Rome.  Poster title:  Metabonomics to assess self-reported data: The international study on macronutrients and blood pressure (INTERMAP)