Code: 242D03OS
Detecting doping with endogenous substances is challenging due to difficulties in distinguishing between natural production and external sources. Testosterone (T), particularly when administered transdermally, exemplifies this challenge. Recent advances in blood steroid profiling, specifically measuring T and its ratio to androstenedione (A4), have improved detection, particularly in females and individuals with UGT2B17 enzyme deletion. However, current methods and interpretation still require complementary biomarkers to enhance sensitivity and selectivity.
Sulfated steroids, key players in human steroid metabolism, offer potential in this regard. Unlike free steroids, these hydrophilic, conjugated forms are stored in higher concentrations in bodily fluids, providing a reactive reservoir that can be converted back into active steroids to maintain homeostasis. Sulfo-conjugation, a process
mediated by sulfotransferase enzymes (SULT), is a significant metabolic pathway for testosterone and its precursors & metabolites. This makes sulfated steroids, which have a prolonged elimination time compared to free testosterone, ideal long-term biomarkers for targeting exogenous testosterone administration.
In this study, we aim to evaluate the sensitivity of endogenous sulfated steroids in serum and urine for detecting transdermal testosterone use in healthy women. We will analyze samples from two prior clinical trials involving topical testosterone administration. The first trial involved 14 women undergoing 28 days of T gel administration, with serum and urine samples collected every two days for 12 weeks. The second study included 48 women randomized to 10 weeks of daily testosterone cream or placebo treatment with urine and serum samples collected before and after treatment. Urine and serum samples will be analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) to quantify steroid sulfates and their conjugated metabolites. Profiles of top candidates will be developed to improve testosterone detection methods.