I define myself as an NMR (Nuclear Magnetic Resonance) spectroscopist and throughout my career, I have worked in a variety of fields with NMR being a constant theme. I started my career as inorganic chemist working on the characterisation of the metal centre of metaloproteins and soon after developed a strong interest structural biology and the characterisation of protein function. To solve the solution structure of a protein it is necessary to acquire multidimensional NMR spectra. The experiments can be complicated and require detailed knowledge of different NMR parameters and how they can be manipulated to solve the structure of a protein. This led me to work in NMR pulse sequence development- in order to be able to optimise the experiments myself- and obtain more information about my protein samples.
As I have always been interested in how NMR can be used to answer biologically relevant questions, I soon became interested in Metabonomics and have now been working in the field for about six years. The NMR knowledge required to obtain the necessary data is relatively basic but provides detailed information about the biochemistry of a biological system that can be used for diagnostics, prognostics and for monitoring drug metabolism (amongst many other applications).
I have now been working at Imperial College for two years where I in charge of the NMR section of the Clinical Phenotyping Center. It is a very challenging and exciting role that aims to bring together medicine and research.
Our focus is applying NMR-based metabolomics to the diagnosis and prognosis of disease. To do so we have recently installed three NMR spectrometers in a hospital setting (Saint Mary's) where scientists and clinicians work closely to make this project a reality.
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et al., 2023, Considerations for peripheral blood transport and storage during large-scale multicentre metabolome research, Gut, ISSN:0017-5749
et al., 2022, Pathway-based integration of multi-omics data reveals lipidomics alterations validated in an Alzheimer´s Disease mouse model and risk loci carriers, Journal of Neurochemistry, ISSN:0022-3042
et al., 2022, Patient stratification in sepsis: Using metabolomics to detect clinical phenotypes, sub-phenotypes and therapeutic response, Metabolites, Vol:12, ISSN:2218-1989, Pages:1-42
et al., 2022, Circulating metabolome and white matter hyperintensities in women and men, Circulation, Vol:145, ISSN:0009-7322, Pages:1040-1052