Influence of subclinical mastitis and intramammary infection by coagulase-negative staphylococci on the cow milk peptidome.


Journal

Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056

Informations de publication

Date de publication:
30 08 2020
Historique:
received: 07 03 2020
revised: 12 06 2020
accepted: 21 06 2020
pubmed: 10 7 2020
medline: 22 6 2021
entrez: 10 7 2020
Statut: ppublish

Résumé

Coagulase-negative staphylococci (CNS) are the most prevalent microorganisms isolated from cow milk and are associated with subclinical mastitis and persistent increases in the bulk milk somatic cell count (BMSCC) of low BMSCC herds. By combining peptide enrichment, LC-ESI-MS/MS, and statistical analysis, we investigated the influence of subclinical mastitis and CNS infection on the milk peptidome. Quarter milk samples from clinically healthy Holstein cows were subjected to bacteriological culture (BC) and somatic cell counting (SCC) for two consecutive samplings and 28 (including 11 negatives and 17 positives) were selected for peptidomic analysis. The study identified 1363 different endogenous peptides and highlighted a significant increase of peptides in CNS-positive milk, mainly represented by casein fragments. Milk peptidome changes increased with the SCC, as also demonstrated by protein electrophoresis and densitometry. Peptides significantly different in CNS or CONTROL samples were identified and characterized. Our results indicate that subclinical mastitis by CNS can induce significant changes in the milk peptidome, opening the way to future studies for the identification of a biomarker panel as well as for the understanding of their consequences for the technological and sensorial characteristics of cow milk and dairy products. SIGNIFICANCE: This is the first investigation on the impact of subclinical CNS mastitis on the bovine milk peptidome. The peptide enrichment strategy combined with a highly sensitive MS/MS analysis enabled the compilation of a very large peptide dataset for healthy and mastitic milk. The comparison of CNS and Control samples, also considering SCC classes, highlighted several peptides with potential for understanding milk protein and peptide dynamics in subclinical mastitis, with possible implications for its detection.

Identifiants

pubmed: 32645476
pii: S1874-3919(20)30253-0
doi: 10.1016/j.jprot.2020.103885
pii:
doi:

Substances chimiques

Coagulase 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103885

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflict of interest.

Auteurs

Maria Filippa Addis (MF)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy; Mediterranean Center For Disease Control, Via Vienna 2, Sassari, Italy. Electronic address: filippa.addis@unimi.it.

Elisa Margherita Maffioli (EM)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy; CIMAINA, Università degli Studi di Milano, via Celoria 10, Milano, Italy.

Fabrizio Ceciliani (F)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy.

Gabriella Tedeschi (G)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy; CIMAINA, Università degli Studi di Milano, via Celoria 10, Milano, Italy.

Valentina Zamarian (V)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy.

Francesco Tangorra (F)

Dipartimento di Scienze Veterinarie per la Salute Animale e la Sicurezza Alimentare "Carlo Cantoni", Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy.

Mariangela Albertini (M)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy.

Renata Piccinini (R)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy.

Valerio Bronzo (V)

Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Via dell'Università 6, Lodi, Italy.

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Classifications MeSH