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基于串联质谱的代谢组学分析用于鉴定围产期奶牛子宫内膜炎的早期预测性血清生物标志物

DI/LC-MS/MS-Based Metabolic Profiling for Identification of Early Predictive Serum Biomarkers of Metritis in Transition Dairy Cows.

作者信息

Zhang Guanshi, Deng Qilan, Mandal Rupasri, Wishart David S, Ametaj Burim N

机构信息

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

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

出版信息

J Agric Food Chem. 2017 Sep 27;65(38):8510-8521. doi: 10.1021/acs.jafc.7b02000. Epub 2017 Sep 18.

DOI:10.1021/acs.jafc.7b02000
PMID:28862839
Abstract

The objectives of this study were to evaluate alterations of metabolites in the blood of dairy cows before, during, and after diagnosis of metritis and identify predictive serum metabolite biomarkers for metritis. DI/LC-MS/MS was used to analyze serum samples collected from both healthy and metritic cows during -8, -4, disease diagnosis, +4, and +8 wks relative to parturition. Results indicated that cows with metritis experienced altered concentrations of serum amino acids, glycerophospholipids, sphingolipids, acylcarnitines, and biogenic amines during the entire experimental period. Moreover, two sets of predictive biomarker models and one set of diagnostic biomarker models for metritis were developed, and all of them showed high sensitivity and specificity (e.g., high AUC values by the ROC curve evaluation), which indicate that serum metabolites identified have pretty accurate predictive, diagnostic, and prognostic abilities for metritis in transition dairy cows.

摘要

本研究的目的是评估奶牛在子宫内膜炎诊断前、诊断期间和诊断后的血液代谢物变化,并确定子宫内膜炎的预测性血清代谢物生物标志物。采用直接进样/液相色谱-串联质谱(DI/LC-MS/MS)分析在相对于分娩的-8周、-4周、疾病诊断时、+4周和+8周期间从健康奶牛和患子宫内膜炎奶牛采集的血清样本。结果表明,在整个实验期间,患子宫内膜炎的奶牛血清氨基酸、甘油磷脂、鞘脂、酰基肉碱和生物胺的浓度发生了变化。此外,还建立了两组子宫内膜炎预测生物标志物模型和一组诊断生物标志物模型,所有模型均显示出高敏感性和特异性(例如,通过ROC曲线评估具有高AUC值),这表明所鉴定的血清代谢物对围产期奶牛子宫内膜炎具有相当准确的预测、诊断和预后能力。

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