IEF pattern classification-derived criteria for the identification of epoetin-delta in urine.

Détails

ID Serval
serval:BIB_314DDA827D9A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
IEF pattern classification-derived criteria for the identification of epoetin-delta in urine.
Périodique
Electrophoresis
Auteur(s)
Lamon S., Boccard J., Sottas P.E., Glatz N., Wuerzner G., Robinson N., Saugy M.
ISSN
1522-2683 (Electronic)
ISSN-L
0173-0835
Statut éditorial
Publié
Date de publication
2010
Volume
31
Numéro
12
Pages
1918-1924
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
Epoetin-delta (Dynepo Shire Pharmaceuticals, Basing stoke, UK) is a synthetic form of erythropoietin (EPO) whose resemblance with endogenous EPO makes it hard to identify using the classical identification criteria. Urine samples collected from six healthy volunteers treated with epoetin-delta injections and from a control population were immuno-purified and analyzed with the usual IEF method. On the basis of the EPO profiles integration, a linear multivariate model was computed for discriminant analysis. For each sample, a pattern classification algorithm returned a bands distribution and intensity score (bands intensity score) saying how representative this sample is of one of the two classes, positive or negative. Effort profiles were also integrated in the model. The method yielded a good sensitivity versus specificity relation and was used to determine the detection window of the molecule following multiple injections. The bands intensity score, which can be generalized to epoetin-alpha and epoetin-beta, is proposed as an alternative criterion and a supplementary evidence for the identification of EPO abuse.
Mots-clé
Adult, Algorithms, Decision Trees, Discriminant Analysis, Doping in Sports, Erythropoietin/urine, Government Agencies, Humans, Image Processing, Computer-Assisted/methods, Isoelectric Focusing/methods, Male, Multivariate Analysis, Recombinant Proteins, Sensitivity and Specificity
Pubmed
Web of science
Création de la notice
01/10/2010 19:24
Dernière modification de la notice
20/08/2019 13:16
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