Abstract

The metabolic alterations associated with the increase in milk production make the transition period critical to the health of dairy cows, usually leading to a higher incidence of disease in periparturient animals. In this manuscript, we describe the use of NMR-based untargeted metabolomics to follow how these changes impact the serum metabolome in a group of 28 transition dairy cows with no initial clinical diseases. Principal component analysis (PCA) of serum 1H NMR data from four weeks before calving to 8 weeks after parturition allowed us to clearly identify four stages during the transition period. Pairwise comparisons using orthogonal partial least square discriminant analysis (OPLS-DA) and univariate data analysis led to the identification of 18 metabolites that varied significantly through these stages. Species such as acetate, betaine, and creatine are observed early after calving, while other markers of metabolic stress, including acetone, β-hydroxybutyrate (BHB), and choline, accumulate significantly at the height of milk production. Furthermore, marked variations in the levels of lactate, allantoin, alanine, and other amino acids reveal the activation of different gluconeogenic pathways following parturition. Concomitant with a return to homeostasis, a gradual normalization of the serum metabolome occurs 8 weeks after calving. Correlations of metabolite levels with dietary and metabolic adaptations based on animal parity could also be identified. Overall, these results show that NMR-based chemometric methods are ideally suited to monitor manifestations of metabolic diseases throughout the transition period and to assess the impact of nutritional management schemes on the metabolism of dairy cows.

Highlights

  • During the transition period from late pregnancy to early lactation, dairy cows suffer dramatic changes in their metabolism due to the decrease in dry matter intake (DMI)occurring even before calving and the increased energetic needs associated with milk production [1]

  • The process of continuous genetic selection that has been employed over recent decades to improve milk production yields has led to an exacerbation of problems associated with metabolic stress [9,10]

  • We investigated the suitability of nuclear magnetic resonance (NMR)-based untargeted metabolomics as a tool to follow changes in the serum metabolome of a group of dairy cows with no initial clinical conditions and access to pastures following calving

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Summary

Introduction

During the transition period from late pregnancy to early lactation, dairy cows suffer dramatic changes in their metabolism due to the decrease in dry matter intake (DMI). Targeted and untargeted MS-based metabolomics have been applied to follow metabolite levels in transition cows in an attempt to identify biomarkers that could evidence early stages of disease [25,26,27,28,29] Most of these studies have been conducted under confined dairy production systems. The characterization of alternative precursors and pathways involved in de novo glucose synthesis and the identification of liver and peripheral tissue adaptations to lactation could contribute to the optimization of herd nutritional management strategies This knowledge could be instrumental in the design of preventive medicine programs aimed at decreasing costly production diseases. We investigated the suitability of NMR-based untargeted metabolomics as a tool to follow changes in the serum metabolome of a group of dairy cows with no initial clinical conditions and access to pastures following calving

Animals and Sample Collection
Clinical Biochemistry
NMR Spectroscopy
Data Processing
Metabolite Concentrations
Statistical Analysis
H NMR spectrum of a serum sample used in the study is shown
NMR-Based Serum Metabolomics
Conclusions
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