Literature DB >> 31233901

Characterization of circulating plasma proteins in dairy cows with cytological endometritis.

Blake A Miller1, Amy Brewer2, Paolo Nanni3, Joseph J Lim1, John J Callanan1, Jonas Grossmann3, Laura Kunz3, André M de Almeida4, Kieran G Meade2, Aspinas Chapwanya5.   

Abstract

Early diagnosis of endometritis in dairy cattle is currently requires invasive techniques and specialist expertise. The goal of this study is to utilize a gel-free mass-spectrometry based proteomics approach to compare the plasma proteome of dairy cattle with cytological endometritis to those without. Blood samples were collected from cows (N = 112) seven days postpartum (DPP). Plasma samples from a cohort of 20 animals with cytological endometritis (n = 10) and without (n = 10) as classified 21 DPP were selected for proteomic analysis. Differential abundances of proteins between the two animal groups were determined using both fold change (≥1.5 fold change) and statistical significance threshold (p < .05). A total of 181 non-redundant proteins were quantified, and 25 proteins were found with differential abundance. These include 4 binding protein alpha and mannose binding lectin 2 involved in immune responses. Differentially abundant proteins between the animals were then processed using PANTHER for gene ontology. Gene ontology included associations with innate immune processes, acute phase responses and immune regulation. A potential marker for disease identified here is the "uncharacterized protein G5E513," a protein previously defined by RNA-transcripts. These proteins may form the basis for endometritis prognosis, the development of which is proceeded by systemic changes in immune function. SIGNIFICANCE: Endometritis is a costly reproductive disease of lactating dairy cows that warrants timely diagnosis. We utilized a gel-free mass-spectrometry based proteomics approach to compare the plasma proteome of dairy cattle with cytological endometritis to those without, for the characterization of changes in the proteomic profile associated with uterine disease postpartum. Furthermore, we compared the plasma proteome of healthy and affected cows in the same physiological status of production to better understand the relationship between changes in expression of circulating proteins and to unravel essential biological mechanisms involved in bovine cytological endometritis.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Year:  2019        PMID: 31233901     DOI: 10.1016/j.jprot.2019.103421

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  5 in total

Review 1.  Exosomal Cargo May Hold the Key to Improving Reproductive Outcomes in Dairy Cows.

Authors:  Natalie Turner; Pevindu Abeysinghe; Pawel Sadowski; Murray D Mitchell
Journal:  Int J Mol Sci       Date:  2021-02-18       Impact factor: 5.923

2.  Plasma proteomics reveals crosstalk between lipid metabolism and immunity in dairy cows receiving essential fatty acids and conjugated linoleic acid.

Authors:  Arash Veshkini; Harald M Hammon; Laura Vogel; Didier Viala; Mylène Delosière; Arnulf Tröscher; Sébastien Déjean; Fabrizio Ceciliani; Helga Sauerwein; Muriel Bonnet
Journal:  Sci Rep       Date:  2022-04-05       Impact factor: 4.379

Review 3.  Modulation of Bovine Endometrial Cell Receptors and Signaling Pathways as a Nanotherapeutic Exploration against Dairy Cow Postpartum Endometritis.

Authors:  Ayodele Olaolu Oladejo; Yajuan Li; Xiaohu Wu; Bereket Habte Imam; Jie Yang; Xiaoyu Ma; Zuoting Yan; Shengyi Wang
Journal:  Animals (Basel)       Date:  2021-05-23       Impact factor: 2.752

4.  Qualitative and quantitative differences in endometrial inflammatory gene expression precede the development of bovine uterine disease.

Authors:  Amy Brewer; Paul Cormican; Joseph J Lim; Aspinas Chapwanya; Cliona O'Farrelly; Kieran G Meade
Journal:  Sci Rep       Date:  2020-10-26       Impact factor: 4.379

5.  Proteomic profiling of plasma-derived small extracellular vesicles: a novel tool for understanding the systemic effects of tick burden in cattle.

Authors:  Natalie Turner; Pevindu Abeysinghe; Hassendrini Peiris; Kanchan Vaswani; Pawel Sadowski; Nick Cameron; Nathanael McGhee; Jayden Logan; Murray D Mitchell
Journal:  J Anim Sci       Date:  2022-02-01       Impact factor: 3.159

  5 in total

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