期刊文献

Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls 收藏

血清代谢物生物标志物预测年轻安格斯公牛的残留饲料摄入量（RFI）

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作者

Aidin Foroutan[ 1;2]; Carolyn Fitzsimmons[ 1;3]; Rupasri Mandal[ 2]; Mark V. Berjanskii[ 2];David S. Wishart[ 2;4;[*]

作者单位

[1] Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada [2] Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada [3] Agriculture and Agri-Food Canada, Edmonton, AB T6G 2P5, Canada [4] Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada [*] Author to whom correspondence should be addressed. Metabolites 2020, 10(12), 491; https://doi.org/10.3390/metabo10120491

关键词

residual feed intake; serum; metabolite; biomarker; Angus bulls

关键词译文

残留饲料摄入;血清;代谢物;生物标志物;安格斯公牛队

发布日期

2020-11-30

页码

491

DOI

10.3390/metabo10120491

来源信息

Metabolites ISSN：2218-1989, 2020年, 10卷, 12期, 491页

摘要

Residual feed intake (RFI) is a feed efficiency measure commonly used in the livestock industry to identify animals that efficiently/inefficiently convert feed into meat or body mass. Selection for low-residual feed intake (LRFI), or feed efficient animals, is gaining popularity among beef producers due to the fact that LRFI cattle eat less and produce less methane per unit weight gain. RFI is a difficult and time-consuming measure to perform, and therefore a simple blood test that could distinguish high-RFI (HRFI) from LRFI animals (early on) would potentially benefit beef farmers in terms of optimizing production or selecting which animals to cull or breed. Using three different metabolomics platforms (nuclear magnetic resonance (NMR) spectrometry, liquid chromatography-tandem mass spectrometry (LC-MS/MS), and inductively coupled plasma mass spectrometry (ICP-MS)) we successfully identified serum biomarkers for RFI that could potentially be translated to an RFI blood test. One set of predictive RFI biomarkers included formate and leucine (best for NMR), and another set included C4 (butyrylcarnitine) and LysoPC(28:0) (best for LC-MS/MS). These serum biomarkers have high sensitivity and specificity (AUROC > 0.85), for distinguishing HRFI from LRFI animals. These results suggest that serum metabolites could be used to inexpensively predict and categorize bovine RFI values. Further validation using a larger, more diverse cohort of cattle is required to confirm these findings.

摘要译文

残留饲料摄入（RFI）是畜牧业常用的饲料效率措施，以识别有效/低效地将饲料转化为肉或体重的动物。由于LRFI牛少吃并产生每单位重量增益的甲烷较少，因此牛肉生产者中的低剩余饲料摄入量（LRFI）或饲料效率的动物的选择在牛肉生产商中受欢迎。 RFI是一种难以执行的措施，因此可以将高射频（HRFI）与LRFI动物（早期）区分的简单血液测试可能会在优化生产或选择剔除的动物方面受益牛肉农民或品种。使用三种不同的代谢组合平台（核磁共振（NMR）光谱法，液相色谱 - 串联质谱（LC-MS / MS）和电感耦合等离子体质谱（ICP-MS））我们成功地鉴定了可能潜在的RFI的血清生物标志物被翻译成RFI血液测试。包含一组预测性RFI生物标志物包括甲酸盐和亮氨酸（最适合NMR），另一种设定的C4（丁酰基氨基碱）和Lysopc（28：0）（最适合LC-MS / MS）。这些血清生物标志物具有高敏感性和特异性（Auroc> 0.85），用于区分HRFI从LRFI动物。这些结果表明，血清代谢物可用于廉价地预测和分类牛RFI值。需要使用更大，更多样化的牛队进行进一步验证来确认这些发现。

Aidin Foroutan[ 1;2]; Carolyn Fitzsimmons[ 1;3]; Rupasri Mandal[ 2]; Mark V. Berjanskii[ 2];David S. Wishart[ 2;4;[*]. Serum Metabolite Biomarkers for Predicting Residual Feed Intake (RFI) of Young Angus Bulls[J]. Metabolites, 2020,10(12): 491