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Can I read Identification of Disordered Metabolic Networks in Postpartum Dairy Cows with Left Displacement of the Abomasum Through Integrated Metabolomics and Pathway Analyses on EtoBox?

Identification of Disordered Metabolic Networks in Postpartum Dairy Cows with Left Displacement of the Abomasum Through Integrated Metabolomics and Pathway Analyses by Yan Sheng GUO; Jin Zhong TAO; Li Hua XU; Fan Hua WEI; Sheng Hu HE is a Medicine article available to read on EtoBox.

What is Identification of Disordered Metabolic Networks in Postpartum Dairy Cows with Left Displacement of the Abomasum Through Integrated Metabolomics and Pathway Analyses about?

High-producing dairy cows are easily affected by left displacement of the abomasum (LDA) within 4 weeks postpartum. Although LDA is highly associated with metabolic disturbances, the related information on comprehensive metabolic changes, with the exception of some blood biochemical parameters, remains limited. In this study, the changes in plasma metabolites and in the metabolic profile of postpartum dairy cows with LDA were investigated through liquid chromatography coupled with quadrupole time of flight mass spectrometry (LC-Q/TOF-MS)-based metabolomics, and the metabolic networks related to LDA were constructed through metabolomics pathway analysis (MetPA). An obvious change in the metabolic profile was reflected by significant variations in 68 plasma metabolites in postpartum dairy cows with LDA, and these variations consequently altered 13 metabolic pathways (histidine metabolism, tyrosine metabolism, valine, leucine and isoleucine biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis, arginine and proline metabolism, tryptophan metabolism, synthesis and degradation of ketone bodies, linoleic acid metabolism, arachidonic acid metabolism, citrate cycle, butanoate m

Who reads Identification of Disordered Metabolic Networks in Postpartum Dairy Cows with Left Displacement of the Abomasum Through Integrated Metabolomics and Pathway Analyses?

It is typically read by researchers, students, and practitioners in Medicine.

Author
Yan Sheng GUO; Jin Zhong TAO; Li Hua XU; Fan Hua WEI; Sheng Hu HE
Published
2019
Language
EN
Field
Medicine (Life Sciences)

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