Animal Bioscience

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Metabolomics comparison of serum and urine in dairy cattle using proton nuclear magnetic resonance spectroscopy

  • Eom, Jun Sik (Division of Applied Life Science (BK21), Gyeongsang National University) ;
  • Kim, Eun Tae (National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Hyun Sang (Division of Applied Life Science (BK21), Gyeongsang National University) ;
  • Choi, You Young (Division of Applied Life Science (BK21), Gyeongsang National University) ;
  • Lee, Shin Ja (Institute of Agriculture and Life Science & University-Centered Labs, Gyeongsang National University) ;
  • Lee, Sang Suk (Ruminant Nutrition and Anaerobe Laboratory, College of Bio-industry Science, Sunchon National University) ;
  • Kim, Seon Ho (Ruminant Nutrition and Anaerobe Laboratory, College of Bio-industry Science, Sunchon National University) ;
  • Lee, Sung Sill (Division of Applied Life Science (BK21), Gyeongsang National University)
  • Received : 2020.12.29
  • Accepted : 2021.03.09
  • Published : 2021.12.01
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Abstract

Objective: The aim of the study was to conduct metabolic profiling of dairy cattle serum and urine using proton nuclear magnetic resonance (1H-NMR) spectroscopy and to compare the results obtained with those of other dairy cattle herds worldwide so as to provide a basic dataset to facilitate research on metabolites in serum and urine. Methods: Six dairy cattle were used in this study; all animals were fed the same diet, which was composed of total mixed ration; the fed amounts were based on voluntary intake. Blood from the jugular neck vein of each steer was collected at the same time using a separate serum tube. Urine samples were collected by hand sweeping the perineum. The metabolites were determined by 1H-NMR spectroscopy, and the obtained data were statistically analyzed by performing principal component analysis, partial least squares-discriminant analysis, variable importance in projection scores, and metabolic pathway data using Metaboanalyst 4.0. Results: The total number of metabolites in the serum and urine was measured to be 115 and 193, respectively, of which 47 and 81, respectively were quantified. Lactate (classified as an organic acid) and urea (classified as an aliphatic acylic compound) exhibited the highest concentrations in serum and urine, respectively. Some metabolites that have been associated with diseases such as ketosis, bovine respiratory disease, and metritis, and metabolites associated with heat stress were also found in the serum and urine samples. Conclusion: The metabolites measured in the serum and urine could potentially be used to detect diseases and heat stress in dairy cattle. The results could also be useful for metabolomic research on the serum and urine of ruminants in Korea.

Keywords

Acknowledgement

This work was carried out with the support of "Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ01503902)" Rural Development Administration, Republic of Korea.

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