Detection of growth hormone abuse in sport

Powrie, J.K. and Bassett, E.E. and Rosen, T. and Jorgensen, J.O.L. and Napoli, R. and Sacca, L. and Chrisiansen, J.S and Bengtsson, B.A. and Sonksen, P.H. (2007) Detection of growth hormone abuse in sport. Growth Hormone and IGF Research, 17 (3). pp. 220-226. ISSN 1096-6374. (Access to this publication is restricted)

PDF
Restricted to Repository staff only
Contact us about this Publication Download (180kB)
[img]
Official URL
http://dx.doi.org/10.1016/j.ghir.2007.01.011

Abstract

Objective: To develop a test for GH abuse in sport. Design: A double blind placebo controlled study of one month's GH administration to 102 healthy non-competing but trained subjects. Blood levels of nine markers of GH action were measured throughout the study and for 56 days after cessation of GH administration. Blood samples were also taken from 813 elite athletes both in and out of competition. Results: GH caused a significant change in the nine measured blood markers. Men were more sensitive to the effects of GH than women. IGF-I and N-terminal extension peptide of procollagen type III were selected to construct formulae which gave optimal discrimination between the GH and placebo groups. Adjustments were made to account for the fall in IGF-I and P-III-P with age and the altered distribution seen in elite athletes. Using a cut-off specificity of 1: 10,000 these formulae would allow the detection of up to 86% of men and 60% of women abusing GH at the doses used in this study. Conclusions: We report a methodology that will allow the detection of GH abuse. This will provide the basis of a robust and enforceable test identifying those who are already cheating and provide a deterrent to those who may be tempted to do so.

Item Type: Article
Additional information: Group author: GH-2000 Study Group
Uncontrolled keywords: growth hormone; doping in sport; insulin-like growth factor I; procollagen type III
Subjects: Q Science > QH Natural history > QH301 Biology
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 19:26
Last Modified: 18 Jul 2012 08:31
Resource URI: http://kar.kent.ac.uk/id/eprint/2080 (The current URI for this page, for reference purposes)
  • Depositors only (login required):

Downloads

Downloads per month over past year