Broberg Malin Nilsson, Ohlsson Rebecca Tillgren, Bondesson Ulf, Pettersson Curt, Tidstedt Börje, Thevis Mario, Hedeland Mikael
Department of Medicinal Chemistry, Uppsala University, Box 574, 75123 Uppsala, Sweden.
Department of Chemistry, Environment and Feed Hygiene, National Veterinary Institute (SVA), 75189 Uppsala, Sweden.
J Chromatogr B Analyt Technol Biomed Life Sci. 2023 Dec 1;1231:123927. doi: 10.1016/j.jchromb.2023.123927. Epub 2023 Nov 10.
Selective androgen receptor modulators (SARMs) such as ACP-105 are prohibited in sports due to their anabolic properties. ACP-105 has in previous equine studies shown to undergo extensive metabolism, which makes its metabolite profile important to investigate in humans, since the metabolism is unknown in this species. The aims of the study were to systematically optimize in vitro microsome incubations for improved metabolite yield and to utilize a multivariate data analysis (MVDA) approach to aid the metabolite discovery. Microsomes together with S9 fractions were used at optimal conditions, both with and without phase II additives. Furthermore, the relevance of the in vitro derived metabolites was evaluated as analytical targets in doping control by comparison with results from a human post-administration urine sample collected after a single dose of 100 µg ACP-105. All samples were analyzed with liquid chromatography - Orbitrap mass spectrometry. The use of the systematical optimization and MVDA greatly simplified the search and a total of 18 in vitro metabolites were tentatively identified. The yield of the two main monohydroxylated isomers increased by 24 and 10 times, respectively. In the human urine sample, a total of seven metabolites of ACP-105, formed by a combination of hydroxylations and glucuronic acid conjugations, were tentatively identified. The main metabolites were two monohydroxylated forms that are suggested as analytical targets for human doping control after hydrolysis. All the in vivo metabolites could be detected with the MVDA approach on the in vitro models, demonstrating its usefulness for prediction of the in vivo metabolite profile.
选择性雄激素受体调节剂(SARMs)如ACP - 105因其合成代谢特性在体育赛事中被禁用。在之前的马类研究中,ACP - 105已显示会经历广泛的代谢,鉴于该物种的代谢情况未知,因此研究其代谢产物谱对人类研究很重要。本研究的目的是系统优化体外微粒体孵育以提高代谢产物产量,并采用多变量数据分析(MVDA)方法辅助代谢产物发现。在最佳条件下使用微粒体和S9组分,同时添加和不添加II相添加剂。此外,通过与单次服用100μg ACP - 105后采集的人体给药后尿液样本的结果进行比较,评估体外衍生代谢产物作为兴奋剂检测分析靶点的相关性。所有样本均采用液相色谱 - 轨道阱质谱分析。系统优化和MVDA的使用极大地简化了搜索过程,共初步鉴定出18种体外代谢产物。两种主要的单羟基化异构体的产量分别提高了24倍和10倍。在人体尿液样本中,共初步鉴定出ACP - 105的七种代谢产物,它们由羟基化和葡萄糖醛酸共轭作用共同形成。主要代谢产物是两种单羟基化形式,建议作为水解后人体兴奋剂检测的分析靶点。通过MVDA方法在体外模型上可以检测到所有体内代谢产物,证明了其对预测体内代谢产物谱的有用性。