One-carbon, carnitine, and glutathione metabolism-related biomarkers in peripartal Holstein cows are altered by prepartal body condition.


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:
Mar 2021
Historique:
received: 01 08 2020
accepted: 15 10 2020
pubmed: 19 1 2021
medline: 15 4 2021
entrez: 18 1 2021
Statut: ppublish

Résumé

We investigated how prepartal body condition score (BCS) alters key hepatic enzymes associated with 1-carbon, carnitine, and glutathione metabolism and the related biomarkers in liver tissue and plasma of periparturient dairy cows. Twenty-six multiparous Holstein dairy cows were retrospectively selected according to BCS at 4 wk prepartum and divided into high (HighBCS, BCS ≥ 3.50) and normal (NormBCS, BCS ≤ 3.25) BCS groups (n = 13 each). Blood plasma samples were obtained at -30, -10, 7, 15, and 30 d relative to calving. Liver tissue biopsies were performed at -15, 7, and 30 d relative to calving, and samples were used to assess protein abundance via Western blot assay. Cows in the HighBCS group lost ∼1 unit of BCS between -4 and 4 wk around calving, while NormBCS cows lost ∼0.5 unit in the same period. Prepartal dry matter intake (DMI, kg/d) did not differ between groups. Compared with NormBCS cows, HighBCS cows had higher postpartal DMI and milk yield (+5.34 kg/d). In addition, greater overall plasma concentrations of fatty acids and activity of the neutrophil-enriched enzyme myeloperoxidase were observed in HighBCS compared with NormBCS cows. Despite similar reactive oxygen metabolite concentrations in both groups at 30 d, HighBCS cows had lower overall concentrations of β-carotene and tocopherol, explaining the lower (BCS × Time) antioxidant capacity (ferric reducing ability of plasma). The HighBCS cows also had greater liver malondialdehyde concentrations and superoxide dismutase activity at 30 d. Overall, compared with NormBCS cows, HighBCS cows had lower hepatic protein abundance of the 1-carbon metabolism enzymes cystathionine-β-synthase, betaine-homocysteine methyltransferase, and methionine adenosyltransferase 1 A (MAT1A), as well as the glutathione metabolism-related enzymes glutathione S-transferase α 4 and glutathione peroxidase 3 (GPX3). A lower protein abundance of glutathione S-transferase mu 1 (GSTM1) at -15 and 7 d was also observed. Regardless of BCS, cows had increased abundance of GSTM1 and GPX3 between -15 and 7 d around calving. A marked decrease of gamma-butyrobetaine dioxygenase 1 from -10 to 7 d in HighBCS compared with NormBCS cows suggested a decrease in de novo carnitine synthesis that was partly explained by the lower abundance of MAT1A. Overall, data suggest biologic links between BCS before calving, milk yield, immune response, and hepatic reactions encompassing 1-carbon metabolism, carnitine, and antioxidant synthesis.

Identifiants

pubmed: 33455750
pii: S0022-0302(21)00048-5
doi: 10.3168/jds.2020-19402
pii:
doi:

Substances chimiques

Biomarkers 0
Carbon 7440-44-0
Glutathione GAN16C9B8O
Carnitine S7UI8SM58A

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3403-3417

Informations de copyright

Copyright © 2021 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

R E Bucktrout (RE)

Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801.

N Ma (N)

Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801; College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, P. R. China.

A Aboragah (A)

Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801.

A S Alharthi (AS)

Department of Animal Production, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia.

Y Liang (Y)

Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801.

V Lopreiato (V)

Department of Animal Sciences, Food and Nutrition, Faculty of Agriculture, Food and Environmental Science, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy.

M G Lopes (MG)

Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801; NUPEEC (Núcleo de Pesquisa, Ensino e Extensão em Pecuária), Departamento de Clínicas Veterinária, Programa de Pós-Graduação em Biotecnologia, Universidade Federal de Pelotas, 96010-610, Pelotas, RS, Brazil.

E Trevisi (E)

Department of Animal Sciences, Food and Nutrition, Faculty of Agriculture, Food and Environmental Science, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy.

I A Alhidary (IA)

Department of Animal Production, College of Food and Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia.

C Fernandez (C)

Animal Science Department, Universitàt Politècnica de Valencia, 46022 Valencia, Spain.

J J Loor (JJ)

Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801. Electronic address: jloor@illinois.edu.

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Classifications MeSH