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

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

Author information

1
Department of Agricultural, Food and Nutritional Science, University of Alberta , Edmonton, Alberta T6G 2P5, Canada.
2
Departments of Biological Sciences and Computing Science, University of Alberta , Edmonton, Alberta T6G 2E9, Canada.

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.

KEYWORDS:

amino acids; biomarkers; dairy cow; metabolomics; metritis; sphingolipids

PMID:
28862839
DOI:
10.1021/acs.jafc.7b02000
[Indexed for MEDLINE]

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