The promise of metabolic phenotyping in gastroenterology and hepatology
File(s)Elaine Holmes_Nature_Gastroenterology_STR.docx (1.08 MB)
Accepted version
Author(s)
Holmes, E
Wijeyesekera, A
Taylor-Robinson, SD
Nicholson, JK
Type
Journal Article
Abstract
Disease risk and treatment response are determined, at the individual level, by a complex history
of genetic and environmental interactions, including those with our endogenous microbiomes. Personalized
health care requires a deep understanding of patient biology that can now be measured using a range of
‘‑omics’ technologies. Patient stratification involves the identification of genetic and/or phenotypic disease
subclasses that require different therapeutic strategies. Stratified medicine approaches to disease diagnosis,
prognosis and therapeutic response monitoring herald a new dimension in patient care. Here, we explore the
potential value of metabolic profiling as applied to unmet clinical needs in gastroenterology and hepatology.
We describe potential applications in a number of diseases, with emphasis on large-scale population studies
as well as metabolic profiling on the individual level, using spectrometric and imaging technologies that will
leverage the discovery of mechanistic information and deliver novel health care solutions to improve clinical
pathway management.
of genetic and environmental interactions, including those with our endogenous microbiomes. Personalized
health care requires a deep understanding of patient biology that can now be measured using a range of
‘‑omics’ technologies. Patient stratification involves the identification of genetic and/or phenotypic disease
subclasses that require different therapeutic strategies. Stratified medicine approaches to disease diagnosis,
prognosis and therapeutic response monitoring herald a new dimension in patient care. Here, we explore the
potential value of metabolic profiling as applied to unmet clinical needs in gastroenterology and hepatology.
We describe potential applications in a number of diseases, with emphasis on large-scale population studies
as well as metabolic profiling on the individual level, using spectrometric and imaging technologies that will
leverage the discovery of mechanistic information and deliver novel health care solutions to improve clinical
pathway management.
Date Issued
2015-08-01
Date Acceptance
2015-07-21
Citation
Nature Reviews Gastroenterology & Hepatology, 2015, 12 (8), pp.458-471
ISSN
1759-5053
Publisher
Nature Publishing Group
Start Page
458
End Page
471
Journal / Book Title
Nature Reviews Gastroenterology & Hepatology
Volume
12
Issue
8
Copyright Statement
© 2015 Macmillan Publishers Limited. All rights reserved.
Sponsor
Imperial College Healthcare NHS Trust- BRC Funding
Medical Research Council (MRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000359391200006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
RDA01 79560
BH124127
Subjects
Science & Technology
Life Sciences & Biomedicine
Gastroenterology & Hepatology
Chromatography-mass-spectrometry
Fatty-liver-disease
Inflammatory-bowel-disease
Clostridium-difficile infection
Desorption electrospray-ionization
Fecal microbiota transplantation
Total correlation spectroscopy
Colorectal-cancer
Hepatocellular-carcinoma
Personalized medicine
Gastrointestinal Diseases
Humans
Liver Diseases
Magnetic Resonance Spectroscopy
Medical Informatics
Metabolome
Metabolomics
Microbiota
Models, Biological
Phenotype
Precision Medicine
Publication Status
Published