Journal article
A unified conceptual framework for metabolic phenotyping in diagnosis and prognosis
Trends in Pharmacological Sciences, Vol.40(10), pp.763-773
2019
Abstract
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.
Details
- Title
- A unified conceptual framework for metabolic phenotyping in diagnosis and prognosis
- Authors/Creators
- J.R. Everett (Author/Creator) - Medway School of PharmacyE. Holmes (Author/Creator) - National Institute for Health ResearchK.A. Veselkov (Author/Creator) - National Institute for Health ResearchJ.C. Lindon (Author/Creator) - National Institute for Health ResearchJ.K. Nicholson (Author/Creator) - National Institute for Health Research
- Publication Details
- Trends in Pharmacological Sciences, Vol.40(10), pp.763-773
- Publisher
- Elsevier (Cell Press)
- Identifiers
- 991005543704407891
- Copyright
- © 2019 Elsevier Ltd.
- Murdoch Affiliation
- Australian National Phenome Centre
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 2 Chemistry
- 2.211 Mass Spectrometry
- 2.211.990 Metabolomics
- Web Of Science research areas
- Pharmacology & Pharmacy
- ESI research areas
- Pharmacology & Toxicology