Eom Jun Sik, Kim Eun Tae, Kim Hyun Sang, Choi You Young, Lee Shin Ja, Lee Sang Suk, Kim Seon Ho, Lee Sung Sill
Division of Applied Life Science (BK21), Gyeongsang National University, Jinju 52828, Korea.
National Institute of Animal Science, Rural Development Administration, Cheonan 31000, Korea.
Anim Biosci. 2021 Dec;34(12):1930-1939. doi: 10.5713/ab.20.0870. Epub 2021 Apr 23.
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.
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.
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.
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.
本研究旨在利用质子核磁共振(1H-NMR)光谱对奶牛血清和尿液进行代谢谱分析,并将所得结果与全球其他奶牛群的结果进行比较,以提供一个基础数据集,便于开展血清和尿液中代谢物的研究。
本研究使用了6头奶牛;所有动物均饲喂相同的日粮,即日粮由全混合日粮组成;饲喂量基于自愿采食量。使用单独的血清管同时采集每头公牛颈静脉血。通过手动清扫会阴收集尿液样本。采用1H-NMR光谱测定代谢物,并使用Metaboanalyst 4.0对所得数据进行主成分分析、偏最小二乘判别分析、投影变量重要性得分和代谢途径数据的统计分析。
血清和尿液中代谢物的总数分别测定为115种和193种,其中分别有47种和81种被定量。乳酸(归类为有机酸)和尿素(归类为脂肪族无环化合物)分别在血清和尿液中呈现出最高浓度。在血清和尿液样本中还发现了一些与疾病如酮病、牛呼吸道疾病和子宫炎相关的代谢物,以及与热应激相关的代谢物。
血清和尿液中测定的代谢物有可能用于检测奶牛的疾病和热应激。这些结果也可能有助于韩国反刍动物血清和尿液的代谢组学研究。