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Modeling the pharmacodynamics of nandrolone doping drug and implications for anti‐doping testing

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  • Özge Sahin
  • Feyyaz Senturk
  • Yaman Barlas
  • Hakan Yasarcan

Abstract

We model the pathways of nandrolone in the body, an anabolic steroid widely used as a performance enhancing drug (PED). The model generates the dynamics of nandrolone and its metabolites. PED tests check for the presence of a primary metabolite of nandrolone, 19‐NA in urine. To cheat in these tests, PED users typically use inhibitors that reduce the urinary concentration of 19‐NA. One such inhibitor is finasteride. Finasteride’s main effect in the body is the inhibition of reductase enzymes that turn nandrolone into its metabolite 19‐NA. To capture this effect, we include structures for finasteride and reductase enzymes in the model. The model is tested by fundamental structure validity tests. We also show that the model behavior is consistent with experimental data in the literature. We finally investigate the potential ways by which the drug users may cheat in PED tests and make suggestions for improved testing as counter‐measures. © 2021 System Dynamics Society

Suggested Citation

  • Özge Sahin & Feyyaz Senturk & Yaman Barlas & Hakan Yasarcan, 2020. "Modeling the pharmacodynamics of nandrolone doping drug and implications for anti‐doping testing," System Dynamics Review, System Dynamics Society, vol. 36(4), pages 467-496, October.
    • Handle: RePEc:bla:sysdyn:v:36:y:2020:i:4:p:467-496
    DOI: 10.1002/sdr.1672
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    References listed on IDEAS

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    3. Wladimir Andreff, 2019. "An Economic Roadmap to the Dark Side of Sport," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03231837, HAL.
    4. Wladimir Andreff, 2019. "An Economic Roadmap to the Dark Side of Sport," Post-Print hal-03231891, HAL.
    5. Wladimir Andreff, 2019. "An Economic Roadmap to the Dark Side of Sport," Post-Print hal-03231845, HAL.
    6. Wladimir Andreff, 2019. "An Economic Roadmap to the Dark Side of Sport," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03231845, HAL.
    7. Sterman, John., 1994. "Learning in and about complex systems," Working papers 3660-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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