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Analysis of metabolomic patterns in thoroughbreds before and after exercise

OBJECTIVE: Evaluation of exercise effects in racehorses is important in horseracing industry and animal health care. In this study, we compared metabolic patterns between before and after exercise to screen metabolic biomarkers for exercise effects in thoroughbreds. METHODS: The concentration of met...

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Autores principales: Jang, Hyun-Jun, Kim, Duk-Moon, Kim, Kyu-Bong, Park, Jeong-Woong, Choi, Jae-Young, Oh, Jin Hyeog, Song, Ki-Duk, Kim, Suhkmann, Cho, Byung-Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666199/
https://www.ncbi.nlm.nih.gov/pubmed/28728374
http://dx.doi.org/10.5713/ajas.17.0167
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author Jang, Hyun-Jun
Kim, Duk-Moon
Kim, Kyu-Bong
Park, Jeong-Woong
Choi, Jae-Young
Oh, Jin Hyeog
Song, Ki-Duk
Kim, Suhkmann
Cho, Byung-Wook
author_facet Jang, Hyun-Jun
Kim, Duk-Moon
Kim, Kyu-Bong
Park, Jeong-Woong
Choi, Jae-Young
Oh, Jin Hyeog
Song, Ki-Duk
Kim, Suhkmann
Cho, Byung-Wook
author_sort Jang, Hyun-Jun
collection PubMed
description OBJECTIVE: Evaluation of exercise effects in racehorses is important in horseracing industry and animal health care. In this study, we compared metabolic patterns between before and after exercise to screen metabolic biomarkers for exercise effects in thoroughbreds. METHODS: The concentration of metabolites in muscle, plasma, and urine was measured by (1)H nuclear magnetic resonance (NMR) spectroscopy analysis and the relative metabolite levels in the three samples were compared between before and after exercise. Subsequently, multivariate data analysis based on the metabolic profiles was performed using orthogonal partial least square discriminant analysis (OPLS-DA) and variable important plots and t-test was used for basic statistical analysis. RESULTS: From (1)H NMR spectroscopy analysis, 35, 25, and 34 metabolites were detected in the muscle, plasma, and urine. Aspartate, betaine, choline, cysteine, ethanol, and threonine were increased over 2-fold in the muscle; propionate and trimethylamine were increased over 2-fold in the plasma; and alanine, glycerol, inosine, lactate, and pyruvate were increased over 2-fold whereas acetoacetate, arginine, citrulline, creatine, glutamine, glutarate, hippurate, lysine, methionine, phenylacetylglycine, taurine, trigonelline, trimethylamine, and trimethylamine N-oxide were decreased below 0.5-fold in the urine. The OPLS-DA showed clear separation of the metabolic patterns before and after exercise in the muscle, plasma, and urine. Statistical analysis showed that after exercise, acetoacetate, arginine, glutamine, hippurate, phenylacetylglycine trimethylamine, trimethylamine N-oxide, and trigonelline were significantly decreased and alanine, glycerol, inosine, lactate, and pyruvate were significantly increased in the urine (p<0.05). CONCLUSION: In conclusion, we analyzed integrated metabolic patterns in the muscle, plasma, and urine before and after exercise in racehorses. We found changed patterns of metabolites in the muscle, plasma, and urine of racehorses before and after exercise.
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spelling pubmed-56661992017-11-13 Analysis of metabolomic patterns in thoroughbreds before and after exercise Jang, Hyun-Jun Kim, Duk-Moon Kim, Kyu-Bong Park, Jeong-Woong Choi, Jae-Young Oh, Jin Hyeog Song, Ki-Duk Kim, Suhkmann Cho, Byung-Wook Asian-Australas J Anim Sci Article OBJECTIVE: Evaluation of exercise effects in racehorses is important in horseracing industry and animal health care. In this study, we compared metabolic patterns between before and after exercise to screen metabolic biomarkers for exercise effects in thoroughbreds. METHODS: The concentration of metabolites in muscle, plasma, and urine was measured by (1)H nuclear magnetic resonance (NMR) spectroscopy analysis and the relative metabolite levels in the three samples were compared between before and after exercise. Subsequently, multivariate data analysis based on the metabolic profiles was performed using orthogonal partial least square discriminant analysis (OPLS-DA) and variable important plots and t-test was used for basic statistical analysis. RESULTS: From (1)H NMR spectroscopy analysis, 35, 25, and 34 metabolites were detected in the muscle, plasma, and urine. Aspartate, betaine, choline, cysteine, ethanol, and threonine were increased over 2-fold in the muscle; propionate and trimethylamine were increased over 2-fold in the plasma; and alanine, glycerol, inosine, lactate, and pyruvate were increased over 2-fold whereas acetoacetate, arginine, citrulline, creatine, glutamine, glutarate, hippurate, lysine, methionine, phenylacetylglycine, taurine, trigonelline, trimethylamine, and trimethylamine N-oxide were decreased below 0.5-fold in the urine. The OPLS-DA showed clear separation of the metabolic patterns before and after exercise in the muscle, plasma, and urine. Statistical analysis showed that after exercise, acetoacetate, arginine, glutamine, hippurate, phenylacetylglycine trimethylamine, trimethylamine N-oxide, and trigonelline were significantly decreased and alanine, glycerol, inosine, lactate, and pyruvate were significantly increased in the urine (p<0.05). CONCLUSION: In conclusion, we analyzed integrated metabolic patterns in the muscle, plasma, and urine before and after exercise in racehorses. We found changed patterns of metabolites in the muscle, plasma, and urine of racehorses before and after exercise. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2017-11 2017-06-27 /pmc/articles/PMC5666199/ /pubmed/28728374 http://dx.doi.org/10.5713/ajas.17.0167 Text en Copyright © 2017 by Asian-Australasian Journal of Animal Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Jang, Hyun-Jun
Kim, Duk-Moon
Kim, Kyu-Bong
Park, Jeong-Woong
Choi, Jae-Young
Oh, Jin Hyeog
Song, Ki-Duk
Kim, Suhkmann
Cho, Byung-Wook
Analysis of metabolomic patterns in thoroughbreds before and after exercise
title Analysis of metabolomic patterns in thoroughbreds before and after exercise
title_full Analysis of metabolomic patterns in thoroughbreds before and after exercise
title_fullStr Analysis of metabolomic patterns in thoroughbreds before and after exercise
title_full_unstemmed Analysis of metabolomic patterns in thoroughbreds before and after exercise
title_short Analysis of metabolomic patterns in thoroughbreds before and after exercise
title_sort analysis of metabolomic patterns in thoroughbreds before and after exercise
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5666199/
https://www.ncbi.nlm.nih.gov/pubmed/28728374
http://dx.doi.org/10.5713/ajas.17.0167
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