Fast IRMS screening of pseudoendogenous steroids in doping analyses

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Deutscher übersetzter Titel:Schnelles IRMS-Screening nach pseudoendogenen Steroiden in der Dopinganalytik
Autor:Torre, Xavier de la; Colamonici, Cristiana; Curcio, Davide; Botrè, Francesco
Erschienen in:Drug testing and analysis
Veröffentlicht:9 (2017), 11/12 (35th Cologne workshop: Advances in sports drug testing), S. 1804-1812, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Elektronische Ressource (online) Gedruckte Ressource
Sprache:Englisch
ISSN:1942-7603, 1942-7611
DOI:10.1002/dta.2321
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Erfassungsnummer:PU201803002066
Quelle:BISp

Abstract des Autors

The detection of the abuse of pseudoendogenous steroids (testosterone and/or its precursors) is currently based, when possible, on the application of the steroid module of the World Anti‐Doping Agency (WADA), athlete biological passport (ABP), implemented through the global database, ADAMS. When a suspicious sample is detected, the confirmation by isotope ratio mass spectrometry (IRMS) is required. It is well known that this confirmation procedure is time consuming and expensive and can be only applied on a reduced number of samples. In previous studies we have demonstrated that the longitudinal evaluation of the IRMS data is able to detect positive samples that otherwise will be evaluated as negative, improving the efficacy of the fight against doping in sport. This would require the analysis of a much larger volume of samples by IRMS. The aim of the present work is to describe an IRMS screening method allowing to increase the throughput of samples that can be analyzed by IRMS. The detection efficacy of the method is compared with the confirmation method in use, and to assess its robustness and applicability, all the samples of a major cycling stage competition were analyzed, with the agreement of the testing authority, under routine conditions and response times. The results obtained permit to conclude that the IRMS screening method here proposed has adequate selectivity and produces results that overlap with the already validated method currently in use permitting to analyze a much higher volume of samples even during a major event without compromising the detection capacity.