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尿液代谢指纹图谱可用于预测奶牛子宫内膜炎的风险,并突出该疾病的病理生物学特征。

Urine metabolic fingerprinting can be used to predict the risk of metritis and highlight the pathobiology of the disease in dairy cows.

机构信息

Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada.

Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB T6G 2E9, Canada.

出版信息

Metabolomics. 2018 Jun 8;14(6):83. doi: 10.1007/s11306-018-1379-z.

DOI:10.1007/s11306-018-1379-z
PMID:30830348
Abstract

INTRODUCTION

Metritis is an uterine pathology that causes economic losses for the dairy industry. It is associated with lower reproductive efficiency, increased culling rates, decreased milk production and increased veterinary costs.

OBJECTIVES

To gain a more detailed view of the urine metabolome and to detect metabolite signature in cows with metritis. In addition, we aimed to identify early metabolites which can help to detect cows at risk to develop metritis in the future.

METHODS

We used nuclear magnetic resonance spectroscopy starting at 8 and 4 weeks prior to the expected day of parturition, during the week of diagnosis of metritis, and at 4 and 8 weeks after diagnosis of metritis in Holstein dairy cows.

RESULTS

At 8 weeks before parturition, pre-metritic cows had a total of 30 altered metabolites. Interestingly, 28 of them increased in urine when compared with control cows (P < 0.05). At 4 weeks before parturition, 34 metabolites were altered. At the week of diagnosis of metritis a total of 20 metabolites were altered (P < 0.05). The alteration continued at 4 and 8 weeks after diagnosis.

CONCLUSIONS

The metabolic fingerprints in the urine of pre-metritic and metritic cows point toward excretion of multiple amino acids, tricarboxylic acid cycle metabolites and monosaccharides. Combination of galactose, leucine, lysine and panthotenate at 8 weeks before parturition might serve as predictive biomarkers for metritis.

摘要

简介

子宫内膜炎是一种引起奶牛养殖业经济损失的子宫病理学疾病。它与较低的繁殖效率、更高的淘汰率、产奶量减少和兽医费用增加有关。

目的

更详细地观察尿液代谢组,并检测患有子宫内膜炎的奶牛中的代谢物特征。此外,我们旨在确定早期代谢物,以帮助识别未来有发生子宫内膜炎风险的奶牛。

方法

我们使用核磁共振波谱学,从预计分娩前 8 周和 4 周开始,在诊断子宫内膜炎的一周内,以及在诊断子宫内膜炎后的 4 周和 8 周进行。

结果

在分娩前 8 周,前子宫内膜炎奶牛共有 30 种代谢物发生变化。有趣的是,与对照组奶牛相比,其中 28 种代谢物在尿液中增加(P<0.05)。在分娩前 4 周,有 34 种代谢物发生变化。在诊断子宫内膜炎的一周内,共有 20 种代谢物发生变化(P<0.05)。这种变化在诊断后 4 周和 8 周仍在继续。

结论

前子宫内膜炎和子宫内膜炎奶牛尿液中的代谢指纹表明,多种氨基酸、三羧酸循环代谢物和单糖的排泄增加。在分娩前 8 周,半乳糖、亮氨酸、赖氨酸和泛酸的组合可能作为子宫内膜炎的预测生物标志物。

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