Literature DB >> 23548295

Identification of hepatic biomarkers for physiological imbalance of dairy cows in early and mid lactation using proteomic technology.

K M Moyes1, E Bendixen, M C Codrea, K L Ingvartsen.   

Abstract

Identification of biomarkers for degree of physiological imbalance (PI), a situation in which physiological parameters deviate from normal, is needed to reduce disease risk and improve production and reproduction performance of cows. The objective was to describe the liver proteome in early and mid lactation for cows with different degrees of PI with a special focus on biomarkers and pathways involved in periparturient disease complexes. Twenty-nine cows in early [49 ± 22d in milk (DIM); n=14] and mid (159 ± 39 DIM; n=15) lactation were nutrient restricted for 4d to increase PI by supplementing the ration with 60% wheat straw. Liver biopsies were collected -1 and 3d relative to restriction. Before restriction, an index for PI was calculated based on plasma nonesterified fatty acids, β-hydroxybutyrate, and glucose concentrations. Within E and M cows, a subsets of 6 cow was classified as having either the greatest (PI) or least (normal; N) degree of PI and were used for isobaric tags for relative and absolute quantitation (iTRAQ)-based quantitative profiling in liver using liquid chromatography-tandem mass spectrometry. We identified pyruvate carboxylase and isocitrate dehydrogenase as potential hepatic biomarkers for PI for cows during early lactation and alcohol dehydrogenase-4 and methylmalonate-semialdehyde dehydrogenase for cows in mid lactation. This preliminary study identified new biomarkers in liver for PI and provided a better understanding of the differences in coping strategies used for cows in PI. Despite the small sample size (n=3/group), the results lay a foundation for future research focused on the usefulness of the hepatic biomarkers for predicting PI and thereby cows at risk for disease during lactation.
Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23548295     DOI: 10.3168/jds.2012-5900

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

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3.  Single Nucleotide Polymorphisms of NUCB2 and their Genetic Associations with Milk Production Traits in Dairy Cows.

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Journal:  Genes (Basel)       Date:  2019-06-13       Impact factor: 4.096

4.  (1)H-Nuclear Magnetic Resonance-Based Plasma Metabolic Profiling of Dairy Cows with Fatty Liver.

Authors:  Chuang Xu; Ling-Wei Sun; Cheng Xia; Hong-You Zhang; Jia-San Zheng; Jun-Song Wang
Journal:  Asian-Australas J Anim Sci       Date:  2016-02       Impact factor: 2.509

  4 in total

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