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HepG2 as promising cell-based model for biosynthesis of long-term metabolites - exemplified for metandienone.

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In order to detect the abuse of substances in sports, the knowledge of their metabolism is of undisputable importance. As in vivo administration of compounds faces ethical problems and might… Click to show full abstract

In order to detect the abuse of substances in sports, the knowledge of their metabolism is of undisputable importance. As in vivo administration of compounds faces ethical problems and might even not be applicable for non-approved compounds, cell-based models might be a versatile tool for biotransformation studies. We co-incubated HepG2 cells with metandienone and D3 -epitestosterone for 14 days. Phase I and II metabolites were analyzed by HPLC-tandem mass spectrometry, and confirmed by GC-MS. The metandienone metabolites formed by HepG2 cells were comparable to those renally excreted by humans. HepG2 cells also generated the two long-term metabolites 17β-hydroxymethyl-17α-methyl-18-nor-androst-1,4,13-trien-3-one and 17α-hydroxymethyl-17β-methyl-18-nor-androst-1,4,13-trien-3-one used in doping analyses, though in an inverse ratio compared to that observed in human urine. In conclusion, we showed that HepG2 cells are suitable as model for the investigation of biotransformation of androgens, especially for the anabolic androgenic steroid metandienone. They further proved to cover phase I and II metabolic pathways, which combined with a prolonged incubation time with metandienone resulted in the generation of its respective long-term metabolites known from in vivo metabolism. Moreover, we showed the usability of D3 -epitestosterone as internal standard for the incubation. The method used herein appears to be suitable and advantageous compared to other models for the investigation of doping-relevant compounds, probably enabling the discovery of candidate metabolites for doping analyses.

Keywords: long term; metandienone; cell based; hepg2 cells; term metabolites

Journal Title: Drug testing and analysis
Year Published: 2021

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