Plasma proteomic profiling and pathway analysis of normal and overconditioned dairy cows during the transition from late pregnancy to early lactation.


Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
May 2020
Historique:
received: 12 11 2019
accepted: 09 01 2020
pubmed: 17 3 2020
medline: 4 9 2020
entrez: 17 3 2020
Statut: ppublish

Résumé

This study applied a quantitative proteomics approach along with bioinformatics analyses to investigate changes in the plasma proteome of normal and overconditioned dairy cows during the transition period. Fifteen weeks before their anticipated calving date, 38 multiparous Holstein cows were selected based on their current and previous body condition scores (BCS) and allocated to either a high or a normal BCS group (19 cows each). They received different diets until dry-off to reach targeted differences in BCS and back fat thickness (BFT) until dry-off. At dry-off, normal BCS cows had a BCS <3.5 (minimum, 2.75) and BFT <1.2 cm (minimum, 0.58), and the high BCS cows had a BCS >3.75 (maximum, 4.50) and BFT >1.4 cm (maximum, 2.90). The proteomics study used a subset of 5 animals from each group. These cows were selected based on their circulating concentrations of fatty acids (FA) on d 14 postpartum and β-hydroxybutyrate (BHB) on d 21 postpartum, representing the greater or the lower extreme values within their BCS group, respectively. The high BCS subset (HE-HBCS) had 4.50 < BCS > 3.75, FA = 1.17 ± 0.46 mmol/L, and BHB = 2.15 ± 0.42 mmol/L (means ± SD), and the low BCS subset (LE-NBCS) had 3.50 < BCS > 2.75, FA = 0.51 ± 0.28 mmol/L, and BHB = 0.84 ± 0.17 mmol/L. Plasma samples from d -49, +7, and +21 relative to parturition were used for proteome profiling by applying the quantitative tandem mass tags (TMT) approach. Nondepleted plasma samples were subjected to reduction and digestion and then labeled with TMT 10plex reagents. High-resolution liquid chromatography-tandem mass spectrometry analysis of TMT-labeled peptides was carried out, and the acquired spectra were analyzed for protein identification and quantification. In total, 254 quantifiable proteins (criteria: 2 unique peptides and 5% false discovery rate) were identified in the plasma samples. From these, 24 differentially abundant proteins (14 more abundant, 10 less abundant) were observed in the LE-NBCS cows compared with the HE-HBCS cows during the transition period. Plasma α-2-macroglobulins were more abundant in HE-HBCS versus LE-NBCS cows at d +7 and +21. Gene Ontology enrichment analyses of differentially abundant proteins revealed that the acute inflammatory response, regulation of complement activation, protein activation cascade, and regulation of humoral immune response were the most enriched terms in the LE-NBCS group compared with the HE-HBCS group. In addition, we identified 24 differentially abundant proteins (16 in the LE-NBCS group, and 8 in the HE-HBCS group) during the transition period. The complement components C1q and C5 were less abundant, while C3 and C3d were more abundant in LE-NBCS compared with HE-HBCS cows. Overall, overconditioning around calving was associated with alterations in protein pathways related to acute inflammatory response and regulation of complement and coagulation cascades in transition cows.

Identifiants

pubmed: 32173013
pii: S0022-0302(20)30203-4
doi: 10.3168/jds.2019-17897
pii:
doi:

Substances chimiques

Proteome 0
3-Hydroxybutyric Acid TZP1275679

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4806-4821

Informations de copyright

Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

Morteza H Ghaffari (MH)

Institute of Animal Science, Physiology & Hygiene Unit, University of Bonn, 53115 Bonn, Germany.

Katharina Schuh (K)

Institute of Animal Science, Physiology & Hygiene Unit, University of Bonn, 53115 Bonn, Germany; Department of Life Sciences and Engineering, Animal Nutrition, and Hygiene Unit, University of Applied Sciences Bingen, 55411 Bingen am Rhein, Germany.

Josipa Kuleš (J)

VetMedZg Laboratory, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, 10000, Croatia.

Nicolas Guillemin (N)

VetMedZg Laboratory, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, 10000, Croatia.

Anita Horvatić (A)

VetMedZg Laboratory, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, 10000, Croatia.

Vladimir Mrljak (V)

VetMedZg Laboratory, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, 10000, Croatia.

Peter David Eckersall (PD)

VetMedZg Laboratory, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, 10000, Croatia; Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medicine, Veterinary Medicine and Life Sciences, University of Glasgow, Glasgow, G61 1QH, United Kingdom.

Georg Dusel (G)

VetMedZg Laboratory, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, 10000, Croatia.

Christian Koch (C)

Educational and Research Centre for Animal Husbandry, Hofgut Neumuehle, 67728 Muenchweiler an der Alsenz, Germany.

Hassan Sadri (H)

Department of Clinical Science, Faculty of Veterinary Medicine, University of Tabriz, 516616471 Tabriz, Iran.

Helga Sauerwein (H)

Institute of Animal Science, Physiology & Hygiene Unit, University of Bonn, 53115 Bonn, Germany. Electronic address: sauerwein@uni-bonn.de.

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Classifications MeSH