Literature DB >> 9216475

Issues in detecting abuse of xenobiotic anabolic steroids and testosterone by analysis of athletes' urine.

D H Catlin1, C K Hatton, S H Starcevic.   

Abstract

Over the last decade the number of laboratories accredited by the International Olympic Committee (IOC) has grown to 25. Nearly half of the approximately 90,000 samples tested annually are collected on short notice-the most effective means to deter the use of anabolic androgenic steroids (AAS). The major urinary metabolites of AAS have been characterized and are identified by their chromatographic retention times and full or partial mass spectra. The process of determining if an athlete has used testosterone (T) begins with finding a T to epitestosterone (E) ratio > 6 and continues with a review of the T/E-time profile. For the user who discontinues taking T, the T/E reverts to baseline (typically approximately 1.0). For the extremely rare athlete with a naturally increased T/E ratio, the T/E remains chronically increased. Short-acting formulations of T transiently increase T/E, and E administration lowers it. Among ancillary tests to help discriminate between naturally increased T/E values and those reflecting T use, the most promising is determination of the carbon isotope ratio.

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Year:  1997        PMID: 9216475

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  10 in total

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Review 2.  Behavioural manifestations of anabolic steroid use.

Authors:  Adam J Trenton; Glenn W Currier
Journal:  CNS Drugs       Date:  2005       Impact factor: 5.749

Review 3.  Banned drugs in sport. Does the International Olympic Committee (IOC) list need updating?

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Review 5.  Anabolic steroid use: patterns of use and detection of doping.

Authors:  Michael R Graham; Bruce Davies; Fergal M Grace; Andrew Kicman; Julien S Baker
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

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7.  Antidoping programme and biological monitoring before and during the 2014 FIFA World Cup Brazil.

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Review 8.  Confounding factors and genetic polymorphism in the evaluation of individual steroid profiling.

Authors:  Tiia Kuuranne; Martial Saugy; Norbert Baume
Journal:  Br J Sports Med       Date:  2014-05       Impact factor: 13.800

9.  Impact of nonsteroidal aromatase inhibitors on steroid profile in a Chinese population.

Authors:  Yanyi Xing; Xin Liu; Mengmeng Yan; Tianqi Chen; Fei Lu; Bing Xu; Yan Gong; Fuhao Chu; Haimin Lei
Journal:  Medicine (Baltimore)       Date:  2017-07       Impact factor: 1.889

10.  Gene expression in hair follicle dermal papilla cells after treatment with stanozolol.

Authors:  M Reiter; M W Pfaffl; M Schönfelder; H H D Meyer
Journal:  Biomark Insights       Date:  2008-12-23
  10 in total

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