Literature DB >> 29655560

Selected reaction monitoring mass spectrometry of mastitis milk reveals pathogen-specific regulation of bovine host response proteins.

Ulrike Kusebauch1, Lorenzo E Hernández-Castellano2, Stine L Bislev2, Robert L Moritz1, Christine M Røntved3, Emøke Bendixen4.   

Abstract

Mastitis is a major challenge to bovine health. The detection of sensitive markers for mastitis in dairy herds is of great demand. Suitable biomarkers should be measurable in milk and should report pathogen-specific changes at an early stage to support earlier diagnosis and more efficient treatment. However, the identification of sensitive biomarkers in milk has remained a challenge, in part due to their relatively low concentration in milk. In the present study, we used a selected reaction monitoring (SRM) mass spectrometry approach, which allowed the absolute quantitation of 13 host response proteins in milk for the first time. These proteins were measured over a 54-h period upon an in vivo challenge with cell wall components from either gram-negative (lipopolysaccharide from Escherichia coli; LPS) or gram-positive bacteria (peptidoglycan from Staphylococcus aureus; PGN). Whereas our data clearly demonstrate that all challenged animals have consistent upregulation of innate immune response proteins after both LPS and PGN challenge, the data also reveal clearly that LPS challenge unleashes faster and shows a more intense host response compared with PGN challenge. Biomarker candidates that may distinguish between gram-negative and gram-positive bacteria include α-2 macroglobulin, α-1 antitrypsin, haptoglobin, serum amyloid A3, cluster of differentiation 14, calgranulin B, cathepsin C, vanin-1, galectin 1, galectin 3, and IL-8. Our approach can support further studies of large cohorts of animals with natural occurring mastitis, to validate the relevance of these suggested biomarkers in dairy production. The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Entities:  

Keywords:  host response proteins; lipopolysaccharide; mastitis; peptidoglycan; selected reaction monitoring

Mesh:

Substances:

Year:  2018        PMID: 29655560      PMCID: PMC6502260          DOI: 10.3168/jds.2017-14312

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


  43 in total

Review 1.  Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions.

Authors:  Paola Picotti; Ruedi Aebersold
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

2.  Quantitative milk proteomics--host responses to lipopolysaccharide-mediated inflammation of bovine mammary gland.

Authors:  Marianne Danielsen; Marius C Codrea; Klaus L Ingvartsen; Nicolas C Friggens; Emøke Bendixen; Christine M Røntved
Journal:  Proteomics       Date:  2010-06       Impact factor: 3.984

3.  Staphylococcus aureus and Escherichia coli cause deviating expression profiles of cytokines and lactoferrin messenger ribonucleic acid in mammary epithelial cells.

Authors:  B Griesbeck-Zilch; H H D Meyer; C H Kühn; M Schwerin; O Wellnitz
Journal:  J Dairy Sci       Date:  2008-06       Impact factor: 4.034

4.  The goat (Capra hircus) mammary gland secretory tissue proteome as influenced by weight loss: A study using label free proteomics.

Authors:  Lorenzo E Hernández-Castellano; Ana M Ferreira; Paolo Nanni; Jonas Grossmann; Anastasio Argüello; Juan Capote; Guohong Cai; John Lippolis; Noemí Castro; Andre M de Almeida
Journal:  J Proteomics       Date:  2016-03-24       Impact factor: 4.044

5.  Acute phase proteins in bovine milk in an experimental model of Staphylococcus aureus subclinical mastitis.

Authors:  P D Eckersall; F J Young; A M Nolan; C H Knight; C McComb; M M Waterston; C J Hogarth; E M Scott; J L Fitzpatrick
Journal:  J Dairy Sci       Date:  2006-05       Impact factor: 4.034

6.  Endocrine and metabolic changes in transition dairy cows are affected by prepartum infusions of a serotonin precursor.

Authors:  Lorenzo E Hernández-Castellano; Laura L Hernandez; Helga Sauerwein; Rupert M Bruckmaier
Journal:  J Dairy Sci       Date:  2017-04-21       Impact factor: 4.034

Review 7.  Severity of E. coli mastitis is mainly determined by cow factors.

Authors:  Christian Burvenich; Valérie Van Merris; Jalil Mehrzad; Araceli Diez-Fraile; Luc Duchateau
Journal:  Vet Res       Date:  2003 Sep-Oct       Impact factor: 3.683

Review 8.  Pathogen-dependent induction of cytokines and other soluble inflammatory mediators during intramammary infection of dairy cows.

Authors:  D D Bannerman
Journal:  J Anim Sci       Date:  2008-08-15       Impact factor: 3.159

9.  Escherichia coli and Staphylococcus aureus elicit differential innate immune responses following intramammary infection.

Authors:  Douglas D Bannerman; Max J Paape; Jai-Wei Lee; Xin Zhao; Jayne C Hope; Pascal Rainard
Journal:  Clin Diagn Lab Immunol       Date:  2004-05

Review 10.  Applications of targeted proteomics in systems biology and translational medicine.

Authors:  H Alexander Ebhardt; Alex Root; Chris Sander; Ruedi Aebersold
Journal:  Proteomics       Date:  2015-07-16       Impact factor: 3.984

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  2 in total

1.  Prediction of potential molecular markers of bovine mastitis by meta-analysis of differentially expressed genes using combined p value and robust rank aggregation.

Authors:  Anushri Umesh; Praveen Kumar Guttula; Mukesh Kumar Gupta
Journal:  Trop Anim Health Prod       Date:  2022-08-19       Impact factor: 1.893

Review 2.  Technological interventions and advances in the diagnosis of intramammary infections in animals with emphasis on bovine population-a review.

Authors:  Sandip Chakraborty; Kuldeep Dhama; Ruchi Tiwari; Mohd Iqbal Yatoo; Sandip Kumar Khurana; Rekha Khandia; Ashok Munjal; Palanivelu Munuswamy; M Asok Kumar; Mithilesh Singh; Rajendra Singh; Vivek Kumar Gupta; Wanpen Chaicumpa
Journal:  Vet Q       Date:  2019-12       Impact factor: 3.320

  2 in total

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