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The Bovine Metabolome.
Foroutan, Aidin; Fitzsimmons, Carolyn; Mandal, Rupasri; Piri-Moghadam, Hamed; Zheng, Jiamin; Guo, AnChi; Li, Carin; Guan, Le Luo; Wishart, David S.
Afiliação
  • Foroutan A; Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.
  • Fitzsimmons C; Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
  • Mandal R; Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.
  • Piri-Moghadam H; Agriculture and Agri-Food Canada, Edmonton, AB T6G 2P5, Canada.
  • Zheng J; Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
  • Guo A; Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
  • Li C; Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
  • Guan LL; Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
  • Wishart DS; Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Metabolites ; 10(6)2020 Jun 05.
Article em En | MEDLINE | ID: mdl-32517015
ABSTRACT
From an animal health perspective, relatively little is known about the typical or healthy ranges of concentrations for many metabolites in bovine biofluids and tissues. Here, we describe the results of a comprehensive, quantitative metabolomic characterization of six bovine biofluids and tissues, including serum, ruminal fluid, liver, Longissimus thoracis (LT) muscle, semimembranosus (SM) muscle, and testis tissues. Using nuclear magnetic resonance (NMR) spectroscopy, liquid chromatography-tandem mass spectrometry (LC-MS/MS), and inductively coupled plasma-mass spectrometry (ICP-MS), we were able to identify and quantify more than 145 metabolites in each of these biofluids/tissues. Combining these results with previous work done by our team on other bovine biofluids, as well as previously published literature values for other bovine tissues and biofluids, we were able to generate quantitative reference concentration data for 2100 unique metabolites across five different bovine biofluids and seven different tissues. These experimental data were combined with computer-aided, genome-scale metabolite inference techniques to add another 48,628 unique metabolites that are biochemically expected to be in bovine tissues or biofluids. Altogether, 51,801 unique metabolites were identified in this study. Detailed information on these 51,801 unique metabolites has been placed in a publicly available database called the Bovine Metabolome Database.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article