Feasibility of a clinical chemical analysis approach to predict misuse of growth promoting hormones in cattle

Analytical Chemistry
Rodat T CunninghamChristopher T Elliott

Abstract

A study was performed to determine if targeted metabolic profiling of cattle sera could be used to establish a predictive tool for identifying hormone misuse in cattle. Metabolites were assayed in heifers (n = 5) treated with nortestosterone decanoate (0.85 mg/kg body weight), untreated heifers (n = 5), steers (n = 5) treated with oestradiol benzoate (0.15 mg/kg body weight) and untreated steers (n = 5). Treatments were administered on days 0, 14, and 28 throughout a 42 day study period. Two support vector machines (SVMs) were trained, respectively, from heifer and steer data to identify hormone-treated animals. Performance of both SVM classifiers were evaluated by sensitivity and specificity of treatment prediction. The SVM trained on steer data achieved 97.33% sensitivity and 93.85% specificity while the one on heifer data achieved 94.67% sensitivity and 87.69% specificity. Solutions of SVM classifiers were further exploited to determine those days when classification accuracy of the SVM was most reliable. For heifers and steers, days 17-35 were determined to be the most selective. In summary, bioinformatics applied to targeted metabolic profiles generated from standard clinical chemistry analyses, has yielded an accurate, in...Continue Reading

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Citations

Mar 1, 2012·Analytical and Bioanalytical Chemistry·Stewart F GrahamMark H Mooney
Oct 3, 2013·Analytical and Bioanalytical Chemistry·Patricia RegalCristina Fente
Apr 16, 2013·Journal of Agricultural and Food Chemistry·Susann Katrina Julie LudwigMichel Wilhelmus Franciscus Nielen
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Feb 27, 2015·Analytical and Bioanalytical Chemistry·Mickael DouéBruno Le Bizec
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Mar 12, 2013·Analytica Chimica Acta·Pieter Van RenterghemPeter Van Eenoo
Dec 9, 2014·Journal of Agricultural and Food Chemistry·Patricia RegalLeen A van Ginkel

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