Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls

Residual feed intake (RFI) is a feed efficiency measure commonly used in the livestock industry to identify animals that efficiently/inefficiently convert feed into meat or body mass. Selection for low-residual feed intake (LRFI), or feed efficient animals, is gaining popularity among beef producers...

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Autores principales: Foroutan, Aidin, Fitzsimmons, Carolyn, Mandal, Rupasri, Berjanskii, Mark V., Wishart, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759889/
https://www.ncbi.nlm.nih.gov/pubmed/33266049
http://dx.doi.org/10.3390/metabo10120491
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author Foroutan, Aidin
Fitzsimmons, Carolyn
Mandal, Rupasri
Berjanskii, Mark V.
Wishart, David S.
author_facet Foroutan, Aidin
Fitzsimmons, Carolyn
Mandal, Rupasri
Berjanskii, Mark V.
Wishart, David S.
author_sort Foroutan, Aidin
collection PubMed
description Residual feed intake (RFI) is a feed efficiency measure commonly used in the livestock industry to identify animals that efficiently/inefficiently convert feed into meat or body mass. Selection for low-residual feed intake (LRFI), or feed efficient animals, is gaining popularity among beef producers due to the fact that LRFI cattle eat less and produce less methane per unit weight gain. RFI is a difficult and time-consuming measure to perform, and therefore a simple blood test that could distinguish high-RFI (HRFI) from LRFI animals (early on) would potentially benefit beef farmers in terms of optimizing production or selecting which animals to cull or breed. Using three different metabolomics platforms (nuclear magnetic resonance (NMR) spectrometry, liquid chromatography-tandem mass spectrometry (LC-MS/MS), and inductively coupled plasma mass spectrometry (ICP-MS)) we successfully identified serum biomarkers for RFI that could potentially be translated to an RFI blood test. One set of predictive RFI biomarkers included formate and leucine (best for NMR), and another set included C4 (butyrylcarnitine) and LysoPC(28:0) (best for LC-MS/MS). These serum biomarkers have high sensitivity and specificity (AUROC > 0.85), for distinguishing HRFI from LRFI animals. These results suggest that serum metabolites could be used to inexpensively predict and categorize bovine RFI values. Further validation using a larger, more diverse cohort of cattle is required to confirm these findings.
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spelling pubmed-77598892020-12-26 Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls Foroutan, Aidin Fitzsimmons, Carolyn Mandal, Rupasri Berjanskii, Mark V. Wishart, David S. Metabolites Article Residual feed intake (RFI) is a feed efficiency measure commonly used in the livestock industry to identify animals that efficiently/inefficiently convert feed into meat or body mass. Selection for low-residual feed intake (LRFI), or feed efficient animals, is gaining popularity among beef producers due to the fact that LRFI cattle eat less and produce less methane per unit weight gain. RFI is a difficult and time-consuming measure to perform, and therefore a simple blood test that could distinguish high-RFI (HRFI) from LRFI animals (early on) would potentially benefit beef farmers in terms of optimizing production or selecting which animals to cull or breed. Using three different metabolomics platforms (nuclear magnetic resonance (NMR) spectrometry, liquid chromatography-tandem mass spectrometry (LC-MS/MS), and inductively coupled plasma mass spectrometry (ICP-MS)) we successfully identified serum biomarkers for RFI that could potentially be translated to an RFI blood test. One set of predictive RFI biomarkers included formate and leucine (best for NMR), and another set included C4 (butyrylcarnitine) and LysoPC(28:0) (best for LC-MS/MS). These serum biomarkers have high sensitivity and specificity (AUROC > 0.85), for distinguishing HRFI from LRFI animals. These results suggest that serum metabolites could be used to inexpensively predict and categorize bovine RFI values. Further validation using a larger, more diverse cohort of cattle is required to confirm these findings. MDPI 2020-11-30 /pmc/articles/PMC7759889/ /pubmed/33266049 http://dx.doi.org/10.3390/metabo10120491 Text en © 2020 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
Foroutan, Aidin
Fitzsimmons, Carolyn
Mandal, Rupasri
Berjanskii, Mark V.
Wishart, David S.
Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls
title Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls
title_full Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls
title_fullStr Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls
title_full_unstemmed Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls
title_short Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls
title_sort serum metabolite biomarkers for predicting residual feed intake (rfi) of young angus bulls
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759889/
https://www.ncbi.nlm.nih.gov/pubmed/33266049
http://dx.doi.org/10.3390/metabo10120491
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