Imperial College London

Emeritus ProfessorJeremyNicholson

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Emeritus Professor of Biological Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3195j.nicholson Website

 
 
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Assistant

 

Ms Wendy Torto +44 (0)20 7594 3225

 
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Location

 

Office no. 665Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Everett:2019:10.1016/j.tips.2019.08.004,
author = {Everett, JR and Holmes, E and Veselkov, KA and Lindon, JC and Nicholson, JK},
doi = {10.1016/j.tips.2019.08.004},
journal = {Trends in Pharmacological Sciences},
pages = {763--773},
title = {A uified conceptual framework for metabolic phenotyping in diagnosis and prognosis},
url = {http://dx.doi.org/10.1016/j.tips.2019.08.004},
volume = {40},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Understanding metabotype (multicomponent metabolic characteristics) variation can help to generate new diagnostic and prognostic biomarkers, as well as models, with potential to impact on patient management. We present a suite of conceptual approaches for the generation, analysis, and understanding of metabotypes from body fluids and tissues. We describe and exemplify four fundamental approaches to the generation and utilization of metabotype data via multiparametric measurement of (i) metabolite levels, (ii) metabolic trajectories, (iii) metabolic entropies, and (iv) metabolic networks and correlations in space and time. This conceptual framework can underpin metabotyping in the scenario of personalized medicine, with the aim of improving clinical outcomes for patients, but the framework will have value and utility in areas of metabolic profiling well beyond this exemplar.
AU - Everett,JR
AU - Holmes,E
AU - Veselkov,KA
AU - Lindon,JC
AU - Nicholson,JK
DO - 10.1016/j.tips.2019.08.004
EP - 773
PY - 2019///
SN - 0165-6147
SP - 763
TI - A uified conceptual framework for metabolic phenotyping in diagnosis and prognosis
T2 - Trends in Pharmacological Sciences
UR - http://dx.doi.org/10.1016/j.tips.2019.08.004
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000490149500009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.sciencedirect.com/science/article/pii/S0165614719301877?via%3Dihub
VL - 40
ER -