Foroutan Aidin, Fitzsimmons Carolyn, Mandal Rupasri, Piri-Moghadam Hamed, Zheng Jiamin, Guo AnChi, Li Carin, Guan Le Luo, Wishart David S
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Metabolites. 2020 Jun 5;10(6):233. doi: 10.3390/metabo10060233.
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, (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.
从动物健康的角度来看，对于许多代谢物在牛生物流体和组织中的典型或健康浓度范围，我们了解得相对较少。在此，我们描述了对六种牛生物流体和组织进行全面定量代谢组学表征的结果，这些生物流体和组织包括血清、瘤胃液、肝脏、腰大肌（LT）、半膜肌（SM）和睾丸组织。使用核磁共振（NMR）光谱、液相色谱 - 串联质谱（LC - MS/MS）和电感耦合等离子体质谱（ICP - MS），我们能够在每种这些生物流体/组织中鉴定和定量超过145种代谢物。将这些结果与我们团队之前对其他牛生物流体所做的工作以及其他牛组织和生物流体先前发表的文献值相结合，我们能够生成跨越五种不同牛生物流体和七种不同组织的2100种独特代谢物的定量参考浓度数据。这些实验数据与计算机辅助的全基因组规模代谢物推断技术相结合，又添加了另外48628种预期存在于牛组织或生物流体中的独特代谢物。在本研究中总共鉴定出51801种独特代谢物。关于这51801种独特代谢物的详细信息已被存入一个名为牛代谢组数据库的公开数据库中。
