畜牧兽医学报 ›› 2013, Vol. 44 ›› Issue (10): 1667-1674.doi: 10.11843/j.issn.0366-6964.2013.10.022

• 临床兽医 • 上一篇    下一篇

奶牛酮病的血浆代谢组学分析

孙玲伟,张洪友*,夏成,包凯,李兰,李影   

  1. (黑龙江八一农垦大学动物科技学院,大庆 163319)
  • 收稿日期:2013-03-04 出版日期:2013-10-23 发布日期:2013-10-28
  • 通讯作者: 张洪友,男,教授,硕士生导师,E-mail:zhy478@163.com
  • 作者简介:孙玲伟(1987-),女,黑龙江哈尔滨人,硕士生,主要从事临床兽医学研究,E-mail:54243187@qq.com
  • 基金资助:

    国家自然科学基金(31072181);国家科技支撑计划课题(2012BAD12B03-2)

Serum Metabonomic Studies of Ketosis in Dairy Cows

SUN Ling-wei, ZHANG Hong-you*, XIA Cheng, BAO Kai, LI Lan, LI Ying   

  1. (College of Animal Science and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China)
  • Received:2013-03-04 Online:2013-10-23 Published:2013-10-28

摘要:

 应用生物核磁共振技术结合主成分分析(PCA)和正交偏最小二乘判别分析法(OPLS-DA)分别分析奶牛在患有临床酮病和亚临床酮病时内源性代谢产物的变化,研究酮病对奶牛代谢过程的影响,寻找差异表达的代谢物。运用1H核磁共振(1H NMR)技术获得临床酮病组、亚临床酮病组与健康对照组3组奶牛血浆代谢组谱。所采集的数据经过模式分析获得差异代谢物。结果显示:临床酮病组、亚临床酮病组与健康对照组相比,差异性代谢物均为23个,其中临床酮病组6个表达上调,17个表达下调;而亚临床酮病组13个表达上调,10个表达下调。临床酮病组与亚临床酮病组相比,差异性代谢物为28个,其中4个表达上调,24个表达下调。结果表明 1H NMR谱结合模式识别分析技术能有效获得区别奶牛临床酮病和亚临床酮病的差异代谢物,并全景式地揭示了酮病发生过程中机体发生的广泛代谢紊乱,为今后深入探究酮病发生机理和新的防治策略奠定了基础。

关键词: 1 H NMR, 代谢组学, 酮病, 多元统计分析

Abstract:

Through the application of biological NMR technique combines principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA), changes of endogenous metabolites with clinical and subclinical ketosis cows were analyzed, which may help to study the effects of ketosis on cow metabolic process, and find the differences metabolites. The plasma metabolic profiles of the three groups were obtained by 1H nuclear magnetic resonance (1H NMR). Differences in metabolites were acquired by analyzing the collected data with mode analysis. Results were as follows: compared with the healthy control group, 23 different metabolites were obtained in subclinical (13 were up-regulated, 10 were down-regulated) and clinical (6 were up-regulated, 17 were down-regulated) ketosis groups. By comparison, 28 different metabolites were obtained between clinical ketosis group (4 were up-regulated, 24 were down-regulated) and subclinical ketosis group. The results indicate that 1H NMR spectra combined with pattern recognition technique can effectively get the different metabolites of diagnosing clinical and subclinical ketosis, and panoramic reveal that widely metabolic disorder on cows in the process of ketosis, which lays the foundation for the exploration of ketosis mechanism and obtaining new biomarkers in the future.

Key words: 1H NMR , metabonomics, ketosis, multivariate statistical analysis

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