TY - JOUR
T1 - DI/LC-MS/MS-Based Metabolic Profiling for Identification of Early Predictive Serum Biomarkers of Metritis in Transition Dairy Cows
AU - Zhang, Guanshi
AU - Deng, Qilan
AU - Mandal, Rupasri
AU - Wishart, David S.
AU - Ametaj, Burim N.
N1 - Funding Information:
‡The first two authors contributed equally to this manuscript. Funding This study was supported by research grants awarded to principal investigators B.N.A. and D.S.W. from Genome Alberta (Calgary, Alberta, Canada), Alberta Livestock and Meat Agency Ltd. (Edmonton, Alberta, Canada), and the Natural Sciences and Engineering Research Council of Canada (Ottawa, Ontario, Canada). Notes The authors declare no competing financial interest.
Publisher Copyright:
© 2017 American Chemical Society.
PY - 2017/9/27
Y1 - 2017/9/27
N2 - 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.
AB - 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.
KW - amino acids
KW - biomarkers
KW - dairy cow
KW - metabolomics
KW - metritis
KW - sphingolipids
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U2 - 10.1021/acs.jafc.7b02000
DO - 10.1021/acs.jafc.7b02000
M3 - Article
C2 - 28862839
AN - SCOPUS:85029929325
SN - 0021-8561
VL - 65
SP - 8510
EP - 8521
JO - Journal of Agricultural and Food Chemistry
JF - Journal of Agricultural and Food Chemistry
IS - 38
ER -