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Identification of circulating metabolites associated with wooden breast and white striping
Current diagnostic methods for wooden breast and white striping, common breast muscle myopathies of modern commercial broiler chickens, rely on subjective examinations of the pectoralis major muscle, time-consuming microscopy, or expensive imaging technologies. Further research on these disorders wo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512222/ https://www.ncbi.nlm.nih.gov/pubmed/36156596 http://dx.doi.org/10.1371/journal.pone.0274208 |
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author | Lake, Juniper A. Yan, Yiren Dekkers, Jack C. M. Qiu, Jing Brannick, Erin M. Abasht, Behnam |
author_facet | Lake, Juniper A. Yan, Yiren Dekkers, Jack C. M. Qiu, Jing Brannick, Erin M. Abasht, Behnam |
author_sort | Lake, Juniper A. |
collection | PubMed |
description | Current diagnostic methods for wooden breast and white striping, common breast muscle myopathies of modern commercial broiler chickens, rely on subjective examinations of the pectoralis major muscle, time-consuming microscopy, or expensive imaging technologies. Further research on these disorders would benefit from more quantitative and objective measures of disease severity that can be used in live birds. To this end, we utilized untargeted metabolomics alongside two statistical approaches to evaluate plasma metabolites associated with wooden breast and white striping in 250 male commercial broiler chickens. First, mixed linear modeling was employed to identify metabolites with a significant association with these muscle disorders and found 98 metabolites associated with wooden breast and 44 metabolites associated with white striping (q-value < 0.05). Second, a support vector machine was constructed using stepwise feature selection to determine the smallest subset of metabolites with the highest categorization accuracy for wooden breast. The final support vector machine achieved 94% accuracy using only 6 metabolites. The metabolite 3-methylhistidine, which is often used as an index of myofibrillar breakdown in skeletal muscle, was the top metabolite for both wooden breast and white striping in our mixed linear model and was also the metabolite with highest marginal prediction accuracy (82%) for wooden breast in our support vector machine. Overall, this study identified a candidate set of metabolites for an objective measure of wooden breast or white striping severity in live birds and expanded our understanding of these muscle disorders. |
format | Online Article Text |
id | pubmed-9512222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95122222022-09-27 Identification of circulating metabolites associated with wooden breast and white striping Lake, Juniper A. Yan, Yiren Dekkers, Jack C. M. Qiu, Jing Brannick, Erin M. Abasht, Behnam PLoS One Research Article Current diagnostic methods for wooden breast and white striping, common breast muscle myopathies of modern commercial broiler chickens, rely on subjective examinations of the pectoralis major muscle, time-consuming microscopy, or expensive imaging technologies. Further research on these disorders would benefit from more quantitative and objective measures of disease severity that can be used in live birds. To this end, we utilized untargeted metabolomics alongside two statistical approaches to evaluate plasma metabolites associated with wooden breast and white striping in 250 male commercial broiler chickens. First, mixed linear modeling was employed to identify metabolites with a significant association with these muscle disorders and found 98 metabolites associated with wooden breast and 44 metabolites associated with white striping (q-value < 0.05). Second, a support vector machine was constructed using stepwise feature selection to determine the smallest subset of metabolites with the highest categorization accuracy for wooden breast. The final support vector machine achieved 94% accuracy using only 6 metabolites. The metabolite 3-methylhistidine, which is often used as an index of myofibrillar breakdown in skeletal muscle, was the top metabolite for both wooden breast and white striping in our mixed linear model and was also the metabolite with highest marginal prediction accuracy (82%) for wooden breast in our support vector machine. Overall, this study identified a candidate set of metabolites for an objective measure of wooden breast or white striping severity in live birds and expanded our understanding of these muscle disorders. Public Library of Science 2022-09-26 /pmc/articles/PMC9512222/ /pubmed/36156596 http://dx.doi.org/10.1371/journal.pone.0274208 Text en © 2022 Lake et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lake, Juniper A. Yan, Yiren Dekkers, Jack C. M. Qiu, Jing Brannick, Erin M. Abasht, Behnam Identification of circulating metabolites associated with wooden breast and white striping |
title | Identification of circulating metabolites associated with wooden breast and white striping |
title_full | Identification of circulating metabolites associated with wooden breast and white striping |
title_fullStr | Identification of circulating metabolites associated with wooden breast and white striping |
title_full_unstemmed | Identification of circulating metabolites associated with wooden breast and white striping |
title_short | Identification of circulating metabolites associated with wooden breast and white striping |
title_sort | identification of circulating metabolites associated with wooden breast and white striping |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512222/ https://www.ncbi.nlm.nih.gov/pubmed/36156596 http://dx.doi.org/10.1371/journal.pone.0274208 |
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