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采用 LC/MS 技术对患有临床酮病的奶牛进行血浆代谢物分析。

Plasma metabolic profiling of dairy cows affected with clinical ketosis using LC/MS technology.

机构信息

a College of Animal Science and Veterinary Medicine , Heilongjiang Bayi Agricultural University , Daqing , China.

出版信息

Vet Q. 2014;34(3):152-8. doi: 10.1080/01652176.2014.962116. Epub 2014 Oct 9.

DOI:10.1080/01652176.2014.962116
PMID:25299384
Abstract

BACKGROUND

Ketosis in dairy cattle is an important metabolic disorder. Currently, the plasma metabolic profile of ketosis as determined using liquid chromatography-mass spectrometry (LC/MS) has not been reported.

OBJECTIVE

To investigate plasma metabolic profiles from cows with clinical ketosis in comparison to control cows.

ANIMALS AND METHODS

Twenty Holstein dairy cows were divided into two groups based on clinical signs and plasma β-hydroxybutyric acid and glucose concentrations 7-21 days postpartum: clinical ketosis and control cows. Plasma metabolic profiles were analyzed using LC/MS. Data were processed using principal component analysis and orthogonal partial least-squares discriminant analysis.

RESULTS

Compared to control cows, the levels of valine, glycine, glycocholic, tetradecenoic acid, and palmitoleic acid increased significantly in clinical ketosis. On the other hand, the levels of arginine, aminobutyric acid, leucine/isoleucine, tryptophan, creatinine, lysine, norcotinine, and undecanoic acid decreased markedly.

CONCLUSION

Our results showed that the metabolic changes in cows with clinical ketosis involve complex metabolic networks and signal transduction. These results are important for future studies elucidating the pathogenesis, diagnosis, and prevention of clinical ketosis in dairy cows.

摘要

背景

奶牛酮病是一种重要的代谢紊乱。目前,使用液相色谱-质谱联用(LC/MS)检测到的奶牛酮病的血浆代谢谱尚未报道。

目的

研究与对照奶牛相比,临床型酮病奶牛的血浆代谢谱。

动物和方法

20 头荷斯坦奶牛根据产后 7-21 天的临床症状和血浆β-羟丁酸及葡萄糖浓度分为临床型酮病组和对照组。采用 LC/MS 分析血浆代谢谱。使用主成分分析和正交偏最小二乘判别分析处理数据。

结果

与对照组相比,临床型酮病组的缬氨酸、甘氨酸、甘胆酸、十四烯酸和棕榈油酸水平显著升高。另一方面,精氨酸、氨基丁酸、亮氨酸/异亮氨酸、色氨酸、肌酸、赖氨酸、去甲烟碱和十一烷酸的水平明显降低。

结论

我们的结果表明,临床型酮病奶牛的代谢变化涉及复杂的代谢网络和信号转导。这些结果对未来阐明奶牛临床型酮病的发病机制、诊断和预防具有重要意义。

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