A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows

Ketosis and subclinical ketosis are widespread among dairy cows especially after calving. Etiopathology of ketosis has been related to negative energy balance. The objective of this study was to investigate metabolite fingerprints in the urine of pre-ketotic, ketotic, and post-ketotic cows to identi...

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Main Authors: Guanshi Zhang, Rupasri Mandal, David S. Wishart, Burim N. Ametaj
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Veterinary Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fvets.2021.595983/full
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spelling doaj-e95a48145c1541eca608f15c1925fc902021-01-26T09:30:37ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692021-01-01810.3389/fvets.2021.595983595983A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy CowsGuanshi Zhang0Rupasri Mandal1David S. Wishart2Burim N. Ametaj3Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, CanadaDepartments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB, CanadaDepartments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB, CanadaDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, CanadaKetosis and subclinical ketosis are widespread among dairy cows especially after calving. Etiopathology of ketosis has been related to negative energy balance. The objective of this study was to investigate metabolite fingerprints in the urine of pre-ketotic, ketotic, and post-ketotic cows to identify potential metabolite alterations that can be used in the future to identify susceptible cows for ketosis and metabolic pathways involved in the development of disease. In this study, NMR, DI/LC-MS/MS, and GC-MS-based metabolomics were used to analyze urine samples from 6 cows diagnosed with ketosis and 20 healthy control (CON) cows at −8 and −4 weeks prepartum, the week (+1 to +3) of ketosis diagnosis, and at +4 and +8 weeks after parturition. Univariate and multivariate analyses were used to screen metabolite panels that can identify cows at their pre-ketotic stage. A total of 54, 42, 48, 16, and 31 differential metabolites between the ketotic and CON cows were identified at −8 and −4 weeks prepartum, ketosis week, and at +4, and +8 weeks postpartum, respectively. Variable importance in projection (VIP) plots ranked the most significant differential metabolites, which differentiated ketotic cows from the CON ones. Additionally, several metabolic pathways that are related to ketosis were identified. Moreover, two promising metabolite panels were identified which clearly separated ketotic from CON cows with excellent level of sensitivity and specificity. Overall, multiple urinary metabolite alterations were identified in pre-ketotic, ketotic, and post-ketotic cows. The metabolite panels identified need to be validated in the future in a larger cohort of animals.https://www.frontiersin.org/articles/10.3389/fvets.2021.595983/fullketosisdairy cowsmetabolomicsbiomarkersurine
collection DOAJ
language English
format Article
sources DOAJ
author Guanshi Zhang
Rupasri Mandal
David S. Wishart
Burim N. Ametaj
spellingShingle Guanshi Zhang
Rupasri Mandal
David S. Wishart
Burim N. Ametaj
A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows
Frontiers in Veterinary Science
ketosis
dairy cows
metabolomics
biomarkers
urine
author_facet Guanshi Zhang
Rupasri Mandal
David S. Wishart
Burim N. Ametaj
author_sort Guanshi Zhang
title A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows
title_short A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows
title_full A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows
title_fullStr A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows
title_full_unstemmed A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows
title_sort multi-platform metabolomics approach identifies urinary metabolite signatures that differentiate ketotic from healthy dairy cows
publisher Frontiers Media S.A.
series Frontiers in Veterinary Science
issn 2297-1769
publishDate 2021-01-01
description Ketosis and subclinical ketosis are widespread among dairy cows especially after calving. Etiopathology of ketosis has been related to negative energy balance. The objective of this study was to investigate metabolite fingerprints in the urine of pre-ketotic, ketotic, and post-ketotic cows to identify potential metabolite alterations that can be used in the future to identify susceptible cows for ketosis and metabolic pathways involved in the development of disease. In this study, NMR, DI/LC-MS/MS, and GC-MS-based metabolomics were used to analyze urine samples from 6 cows diagnosed with ketosis and 20 healthy control (CON) cows at −8 and −4 weeks prepartum, the week (+1 to +3) of ketosis diagnosis, and at +4 and +8 weeks after parturition. Univariate and multivariate analyses were used to screen metabolite panels that can identify cows at their pre-ketotic stage. A total of 54, 42, 48, 16, and 31 differential metabolites between the ketotic and CON cows were identified at −8 and −4 weeks prepartum, ketosis week, and at +4, and +8 weeks postpartum, respectively. Variable importance in projection (VIP) plots ranked the most significant differential metabolites, which differentiated ketotic cows from the CON ones. Additionally, several metabolic pathways that are related to ketosis were identified. Moreover, two promising metabolite panels were identified which clearly separated ketotic from CON cows with excellent level of sensitivity and specificity. Overall, multiple urinary metabolite alterations were identified in pre-ketotic, ketotic, and post-ketotic cows. The metabolite panels identified need to be validated in the future in a larger cohort of animals.
topic ketosis
dairy cows
metabolomics
biomarkers
urine
url https://www.frontiersin.org/articles/10.3389/fvets.2021.595983/full
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