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Metabolic Predictors of Equine Performance in Endurance Racing
Equine performance in endurance racing depends on the interplay between physiological and metabolic processes. However, there is currently no parameter for estimating the readiness of animals for competition. Our objectives were to provide an in-depth characterization of metabolic consequences of en...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912089/ https://www.ncbi.nlm.nih.gov/pubmed/33572513 http://dx.doi.org/10.3390/metabo11020082 |
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author | Halama, Anna Oliveira, Joao M. Filho, Silvio A. Qasim, Muhammad Achkar, Iman W. Johnson, Sarah Suhre, Karsten Vinardell, Tatiana |
author_facet | Halama, Anna Oliveira, Joao M. Filho, Silvio A. Qasim, Muhammad Achkar, Iman W. Johnson, Sarah Suhre, Karsten Vinardell, Tatiana |
author_sort | Halama, Anna |
collection | PubMed |
description | Equine performance in endurance racing depends on the interplay between physiological and metabolic processes. However, there is currently no parameter for estimating the readiness of animals for competition. Our objectives were to provide an in-depth characterization of metabolic consequences of endurance racing and to establish a metabolic performance profile for those animals. We monitored metabolite composition, using a broad non-targeted metabolomics approach, in blood plasma samples from 47 Arabian horses participating in endurance races. The samples were collected before and after the competition and a total of 792 metabolites were measured. We found significant alterations between before and after the race in 417 molecules involved in lipids and amino acid metabolism. Further, even before the race starts, we found metabolic differences between animals who completed the race and those who did not. We identified a set of six metabolite predictors (imidazole propionate, pipecolate, ethylmalonate, 2R-3R-dihydroxybutyrate, β-hydroxy-isovalerate and X-25455) of animal performance in endurance competition; the resulting model had an area under a receiver operating characteristic (AUC) of 0.92 (95% CI: 0.85–0.98). This study provides an in-depth characterization of metabolic alterations driven by endurance races in equines. Furthermore, we showed the feasibility of identifying potential metabolic signatures as predictors of animal performance in endurance competition. |
format | Online Article Text |
id | pubmed-7912089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79120892021-02-28 Metabolic Predictors of Equine Performance in Endurance Racing Halama, Anna Oliveira, Joao M. Filho, Silvio A. Qasim, Muhammad Achkar, Iman W. Johnson, Sarah Suhre, Karsten Vinardell, Tatiana Metabolites Article Equine performance in endurance racing depends on the interplay between physiological and metabolic processes. However, there is currently no parameter for estimating the readiness of animals for competition. Our objectives were to provide an in-depth characterization of metabolic consequences of endurance racing and to establish a metabolic performance profile for those animals. We monitored metabolite composition, using a broad non-targeted metabolomics approach, in blood plasma samples from 47 Arabian horses participating in endurance races. The samples were collected before and after the competition and a total of 792 metabolites were measured. We found significant alterations between before and after the race in 417 molecules involved in lipids and amino acid metabolism. Further, even before the race starts, we found metabolic differences between animals who completed the race and those who did not. We identified a set of six metabolite predictors (imidazole propionate, pipecolate, ethylmalonate, 2R-3R-dihydroxybutyrate, β-hydroxy-isovalerate and X-25455) of animal performance in endurance competition; the resulting model had an area under a receiver operating characteristic (AUC) of 0.92 (95% CI: 0.85–0.98). This study provides an in-depth characterization of metabolic alterations driven by endurance races in equines. Furthermore, we showed the feasibility of identifying potential metabolic signatures as predictors of animal performance in endurance competition. MDPI 2021-01-31 /pmc/articles/PMC7912089/ /pubmed/33572513 http://dx.doi.org/10.3390/metabo11020082 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Halama, Anna Oliveira, Joao M. Filho, Silvio A. Qasim, Muhammad Achkar, Iman W. Johnson, Sarah Suhre, Karsten Vinardell, Tatiana Metabolic Predictors of Equine Performance in Endurance Racing |
title | Metabolic Predictors of Equine Performance in Endurance Racing |
title_full | Metabolic Predictors of Equine Performance in Endurance Racing |
title_fullStr | Metabolic Predictors of Equine Performance in Endurance Racing |
title_full_unstemmed | Metabolic Predictors of Equine Performance in Endurance Racing |
title_short | Metabolic Predictors of Equine Performance in Endurance Racing |
title_sort | metabolic predictors of equine performance in endurance racing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912089/ https://www.ncbi.nlm.nih.gov/pubmed/33572513 http://dx.doi.org/10.3390/metabo11020082 |
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