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Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows

Ketosis is a common metabolic disease in dairy cows during early lactation. However, information about the metabolomic and proteomic profiles associated with the incidence and progression of ketosis is still limited. In this study, an integrated metabolomics and proteomics approach was performed on...

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Autores principales: Wu, Zhou-Lin, Chen, Shi-Yi, Hu, Shenqiang, Jia, Xianbo, Wang, Jie, Lai, Song-Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772412/
https://www.ncbi.nlm.nih.gov/pubmed/33391334
http://dx.doi.org/10.3389/fgene.2020.551587
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author Wu, Zhou-Lin
Chen, Shi-Yi
Hu, Shenqiang
Jia, Xianbo
Wang, Jie
Lai, Song-Jia
author_facet Wu, Zhou-Lin
Chen, Shi-Yi
Hu, Shenqiang
Jia, Xianbo
Wang, Jie
Lai, Song-Jia
author_sort Wu, Zhou-Lin
collection PubMed
description Ketosis is a common metabolic disease in dairy cows during early lactation. However, information about the metabolomic and proteomic profiles associated with the incidence and progression of ketosis is still limited. In this study, an integrated metabolomics and proteomics approach was performed on blood serum sampled from cows diagnosed with clinical ketosis (case, ≥ 2.60 mmol/L plasma β-hydroxybutyrate; BHBA) and healthy controls (control, < 1.0 mmol/L BHBA). Samples were taken 2 weeks before parturition and 2 weeks after parturition from 19 animals (nine cases, 10 controls). All serum samples (n = 38) were subjected to Liquid Chromatography-Mass Spectrometry (LC-MS) based metabolomic analysis, and 20 samples underwent Data-Independent Acquisition (DIA) LC-MS based proteomic analysis. A total of 97 metabolites and 540 proteins were successfully identified, and multivariate analysis revealed significant differences in both metabolomic and proteomic profiles between cases and controls. We investigated clinical ketosis-associated metabolomic and proteomic changes using statistical analyses. Correlation analysis of statistically significant metabolites and proteins showed 78 strong correlations (correlation coefficient, R ≥ 0.7) between 38 metabolites and 25 proteins, which were then mapped to pathways using IMPaLA. Results showed that ketosis altered a wide range of metabolic pathways, such as metabolism, metabolism of proteins, gene expression and post-translational protein modification, vitamin metabolism, signaling, and disease related pathways. Findings presented here are relevant for identifying molecular targets for ketosis and biomarkers for ketosis detection during the transition period.
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spelling pubmed-77724122020-12-31 Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows Wu, Zhou-Lin Chen, Shi-Yi Hu, Shenqiang Jia, Xianbo Wang, Jie Lai, Song-Jia Front Genet Genetics Ketosis is a common metabolic disease in dairy cows during early lactation. However, information about the metabolomic and proteomic profiles associated with the incidence and progression of ketosis is still limited. In this study, an integrated metabolomics and proteomics approach was performed on blood serum sampled from cows diagnosed with clinical ketosis (case, ≥ 2.60 mmol/L plasma β-hydroxybutyrate; BHBA) and healthy controls (control, < 1.0 mmol/L BHBA). Samples were taken 2 weeks before parturition and 2 weeks after parturition from 19 animals (nine cases, 10 controls). All serum samples (n = 38) were subjected to Liquid Chromatography-Mass Spectrometry (LC-MS) based metabolomic analysis, and 20 samples underwent Data-Independent Acquisition (DIA) LC-MS based proteomic analysis. A total of 97 metabolites and 540 proteins were successfully identified, and multivariate analysis revealed significant differences in both metabolomic and proteomic profiles between cases and controls. We investigated clinical ketosis-associated metabolomic and proteomic changes using statistical analyses. Correlation analysis of statistically significant metabolites and proteins showed 78 strong correlations (correlation coefficient, R ≥ 0.7) between 38 metabolites and 25 proteins, which were then mapped to pathways using IMPaLA. Results showed that ketosis altered a wide range of metabolic pathways, such as metabolism, metabolism of proteins, gene expression and post-translational protein modification, vitamin metabolism, signaling, and disease related pathways. Findings presented here are relevant for identifying molecular targets for ketosis and biomarkers for ketosis detection during the transition period. Frontiers Media S.A. 2020-12-16 /pmc/articles/PMC7772412/ /pubmed/33391334 http://dx.doi.org/10.3389/fgene.2020.551587 Text en Copyright © 2020 Wu, Chen, Hu, Jia, Wang and Lai. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wu, Zhou-Lin
Chen, Shi-Yi
Hu, Shenqiang
Jia, Xianbo
Wang, Jie
Lai, Song-Jia
Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows
title Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows
title_full Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows
title_fullStr Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows
title_full_unstemmed Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows
title_short Metabolomic and Proteomic Profiles Associated With Ketosis in Dairy Cows
title_sort metabolomic and proteomic profiles associated with ketosis in dairy cows
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772412/
https://www.ncbi.nlm.nih.gov/pubmed/33391334
http://dx.doi.org/10.3389/fgene.2020.551587
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