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| Research article summary (published 30 Jan 2009): |
Feasibility of a clinical chemical analysis approach to predict misuse of growth promoting hormones in cattle.
Full 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, inexpensive, high-throughput test for predicting steroid abuse in cattle.
Author information
Author/s: Cunningham, Rodat T (RT); Mooney, Mark H (MH); Xia, Xiao-Lei (XL); Crooks, Steven (S); Matthews, David (D); O'Keeffe, Michael (M); Li, Kang (K); Elliott, Christopher T (CT);
Affiliation: Institute of Agri-Food and Land Use, School of Biological Sciences, Queen's University Belfast, UK. R.Cunningham(-atsign-)qub.ac.uk
Journal and publication information
Publication Type: Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't
Journal: Analytical chemistry (Anal Chem), published in United States. (Language: eng)
Reference: 2009-Feb; vol 81 (issue 3) : pp 977-83
Dates: Created 2009/02/03; Completed 2009/03/04;
PMID: 19128143, status: MEDLINE (last retrieval date: 3/10/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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