Dominant components of the Thoroughbred metabolome characterised by 1H -nuclear magnetic resonance spectroscopy: a metabolite atlas of common biofluids
Dominant components of the Thoroughbred metabolome characterised by 1H -nuclear magnetic resonance spectroscopy: a metabolite atlas of common biofluids
REASONS FOR PERFORMING STUDY: Metabonomics is emerging as a powerful tool for disease screening and investigating mammalian metabolism. This study aims to create a metabolic framework by producing a preliminary reference guide for the normal equine metabolic milieu.
OBJECTIVES: To metabolically profile plasma, urine and faecal water from healthy racehorses using high resolution 1H -nuclear magnetic resonance (NMR) spectroscopy and to provide a list of dominant metabolites present in each biofluid for the benefit of future research in this area.
STUDY DESIGN: This study was performed using 7 Thoroughbreds in race training at a single time point. Urine and faecal samples were collected noninvasively and plasma was obtained from samples taken for routine clinical chemistry purposes.
METHODS: Biofluids were analysed using 1H -NMR spectroscopy. Metabolite assignment was achieved via a range of one- and 2-dimensional experiments.
RESULTS: A total of 102 metabolites were assigned across the 3 biological matrices. A core metabonome of 14 metabolites was ubiquitous across all biofluids. All biological matrices provided a unique window on different aspects of systematic metabolism. Urine was the most populated metabolite matrix with 65 identified metabolites, 39 of which were unique to this biological compartment. A number of these were related to gut microbial host cometabolism. Faecal samples were the most metabolically variable between animals; acetate was responsible for the majority (28%) of this variation. Short-chain fatty acids were the predominant features identified within this biofluid by 1H -NMR spectroscopy.
CONCLUSIONS: Metabonomics provides a platform for investigating complex and dynamic interactions between the host and its consortium of gut microbes and has the potential to uncover markers for health and disease in a variety of biofluids. Inherent variation in faecal extracts along with the relative abundance of microbial-mammalian metabolites in urine and invasive nature of plasma sampling, infers that urine is the most appropriate biofluid for the purposes of metabonomic analysis.
Animals, Body Fluids/chemistry, Feces/chemistry, Horses/blood, Magnetic Resonance Spectroscopy/methods, Metabolome, Metabolomics/methods, Urine/chemistry
721-730
Escalona, E.E.
12cb25a7-15ec-4990-a946-db6ef83209d1
Leng, J.
71755042-2b5f-44a6-8420-019f13a4a946
Dona, A.C.
11355272-6ea6-4be4-9304-e250ec777da9
Merrifield, C.A.
784cf125-18e2-4c8d-997c-f6ae4b989a56
Holmes, E.
ef72775c-3197-4ba6-b4c1-4e76a245f98a
Proudman, C.J.
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Swann, J.R.
7c11a66b-f4b8-4dbf-aa17-ad8b0561b85c
November 2015
Escalona, E.E.
12cb25a7-15ec-4990-a946-db6ef83209d1
Leng, J.
71755042-2b5f-44a6-8420-019f13a4a946
Dona, A.C.
11355272-6ea6-4be4-9304-e250ec777da9
Merrifield, C.A.
784cf125-18e2-4c8d-997c-f6ae4b989a56
Holmes, E.
ef72775c-3197-4ba6-b4c1-4e76a245f98a
Proudman, C.J.
d8b66c8d-0e2d-40ae-81f7-6a960db240d4
Swann, J.R.
7c11a66b-f4b8-4dbf-aa17-ad8b0561b85c
Escalona, E.E., Leng, J., Dona, A.C., Merrifield, C.A., Holmes, E., Proudman, C.J. and Swann, J.R.
(2015)
Dominant components of the Thoroughbred metabolome characterised by 1H -nuclear magnetic resonance spectroscopy: a metabolite atlas of common biofluids.
Equine Veterinary Journal, 47 (6), .
(doi:10.1111/evj.12333).
Abstract
REASONS FOR PERFORMING STUDY: Metabonomics is emerging as a powerful tool for disease screening and investigating mammalian metabolism. This study aims to create a metabolic framework by producing a preliminary reference guide for the normal equine metabolic milieu.
OBJECTIVES: To metabolically profile plasma, urine and faecal water from healthy racehorses using high resolution 1H -nuclear magnetic resonance (NMR) spectroscopy and to provide a list of dominant metabolites present in each biofluid for the benefit of future research in this area.
STUDY DESIGN: This study was performed using 7 Thoroughbreds in race training at a single time point. Urine and faecal samples were collected noninvasively and plasma was obtained from samples taken for routine clinical chemistry purposes.
METHODS: Biofluids were analysed using 1H -NMR spectroscopy. Metabolite assignment was achieved via a range of one- and 2-dimensional experiments.
RESULTS: A total of 102 metabolites were assigned across the 3 biological matrices. A core metabonome of 14 metabolites was ubiquitous across all biofluids. All biological matrices provided a unique window on different aspects of systematic metabolism. Urine was the most populated metabolite matrix with 65 identified metabolites, 39 of which were unique to this biological compartment. A number of these were related to gut microbial host cometabolism. Faecal samples were the most metabolically variable between animals; acetate was responsible for the majority (28%) of this variation. Short-chain fatty acids were the predominant features identified within this biofluid by 1H -NMR spectroscopy.
CONCLUSIONS: Metabonomics provides a platform for investigating complex and dynamic interactions between the host and its consortium of gut microbes and has the potential to uncover markers for health and disease in a variety of biofluids. Inherent variation in faecal extracts along with the relative abundance of microbial-mammalian metabolites in urine and invasive nature of plasma sampling, infers that urine is the most appropriate biofluid for the purposes of metabonomic analysis.
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More information
Accepted/In Press date: 8 August 2014
e-pub ahead of print date: 18 August 2015
Published date: November 2015
Keywords:
Animals, Body Fluids/chemistry, Feces/chemistry, Horses/blood, Magnetic Resonance Spectroscopy/methods, Metabolome, Metabolomics/methods, Urine/chemistry
Identifiers
Local EPrints ID: 441557
URI: http://eprints.soton.ac.uk/id/eprint/441557
ISSN: 0425-1644
PURE UUID: 99e9fa18-27ec-46fd-a949-5ce78cd443aa
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Date deposited: 17 Jun 2020 16:39
Last modified: 17 Mar 2024 04:00
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Contributors
Author:
E.E. Escalona
Author:
J. Leng
Author:
A.C. Dona
Author:
C.A. Merrifield
Author:
E. Holmes
Author:
C.J. Proudman
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