基于代谢组学策略的产前奶牛运动对血浆NEFA调节机理的研究

高产奶牛在围产期不可避免的发生能量负平衡，导致血浆中NEFA浓度升高，升高的NEFA导致机体脂肪肝、酮病以及感染性疾病的发生。本研究拟通过增加产前奶牛的运动量，以降低血浆NEFA浓度，采用UPLC/Q-TOF-MS和GC-MS分析血浆的代谢物整体变化情况，研究运动干预围产期高NEFA浓度奶牛的代谢指纹图谱，筛选运动干预高NEFA的纠偏代谢物；利用京都基因与KEGG数据库构建纠偏代谢物的生物通路关联网络。在此基础上，采用网络分析和编辑软件Cytoscape;对运动干预高NEFA奶牛的纠偏代谢物、通路、网络靶标进行分子对接，建立运动代谢物-通路-靶点网络，阐述运动干预高NEFA奶牛的生物分子网络交互作用，从多维度分析运动与与高NEFA奶牛机体之间的相互作用关系，全面地揭示运动干预奶牛的生物效应机制，并确定最佳的运动量范围。为减少产后奶牛疾病提供理论依据。

Negative energy balance is inevitable when high yield cows are in peripartum period, which leads to the increase of NEFA concentration in plasma. The elevated NEFAs lead to the incidence of fatty liver, ketone disease and infectious diseases. This study aims to reduce NEFA concentration in plasma by increasing exercise in prepartum cows. The UPLC/Q-TOF-MS and GC-MS will be used to analysize plasma metabolites change. Exercise impact on high NEFA concentrations metabolic fingerprinting in prepartum cows, screening the corrective metabolites. The Kyoto gene with the KEGG database corrective metabolites of biological pathways was associated with network construction. On this basis, using network analysis and editing software Cytoscape; joint the regulated metabolomes, the channel and network target with Cytospace software to reduce NEFA network of metabolomes-channel-target. Explain the biological interaction between high NEFA and exercise, for multi-respective to analysize between exercise and high NEFA interaction in peripartum cows and comprehensively reveal mechanisms underlying the biological effects of exercise, In order to provide theoretical basis for reducing disease in postpartum dairy cows.