Odoardi Sara, Mestria Serena, Biosa Giulia, Arfè Raffaella, Tirri Micaela, Marti Matteo, Strano Rossi Sabina
Department of Healthcare Surveillance and Bioethics, Forensic Toxicology Laboratory, Università Cattolica del Sacro Cuore F. Policlinico Gemelli IRCCS, Rome, Italy.
Department of Translational Medicine, Section of Legal Medicine and LTTA Centre, University of Ferrara, Ferrara, Italy.
Drug Test Anal. 2021 Aug;13(8):1516-1526. doi: 10.1002/dta.3044. Epub 2021 May 4.
The emerging market of new psychoactive substances (NPSs) is a global-scale phenomenon, and their identification in biological samples is challenging because of the lack of information about their metabolism and pharmacokinetic. In this study, we performed in silico metabolic pathway prediction and in vivo metabolism experiments, in order to identify the main metabolites of mephtetramine (MTTA), an NPS found in seizures since 2013. MetaSite™ software was used for in silico metabolism predictions and subsequently the presence of metabolites in the blood, urine, and hair of mice after MTTA administration was verified. The biological samples were analyzed by liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) using a benchtop Orbitrap instrument. This confirmed the concordance between software prediction and experimental results in biological samples. The metabolites were identified by their accurate masses and fragmentation patterns. LC-HRMS analysis identified the dehydrogenated and demethylated-dehydrogenated metabolites, together with unmodified MTTA in the blood samples. Besides unmodified MTTA, 10 main metabolites were detected in urine. In hair samples, only demethyl MTTA was detected along with MTTA. The combination of Metasite™ prediction and in vivo experiment was a powerful tool for studying MTTA metabolism. This approach enabled the development of the analytical method for the detection of MTTA and its main metabolites in biological samples. The development of analytical methods for the identification of new drugs and their main metabolites is extremely useful for the detection of NPS in biological specimens. Indeed, high throughput methods are precious to uncover the actual extent of use of NPS and their toxicity.
新型精神活性物质(NPS)的新兴市场是一个全球范围的现象,由于缺乏关于它们代谢和药代动力学的信息,在生物样品中识别它们具有挑战性。在本研究中,我们进行了计算机辅助代谢途径预测和体内代谢实验,以识别甲替他明(MTTA)的主要代谢物,MTTA是一种自2013年以来在癫痫发作中发现的新型精神活性物质。使用MetaSite™软件进行计算机辅助代谢预测,随后验证MTTA给药后小鼠血液、尿液和毛发中代谢物的存在。使用台式轨道阱仪器通过液相色谱与高分辨率质谱联用(LC-HRMS)分析生物样品。这证实了软件预测与生物样品实验结果之间的一致性。通过其精确质量和碎片模式鉴定代谢物。LC-HRMS分析在血液样本中鉴定出脱氢和去甲基化-脱氢代谢物以及未修饰的MTTA。除了未修饰的MTTA外,在尿液中检测到10种主要代谢物。在毛发样本中,仅检测到去甲基MTTA和MTTA。MetaSite™预测和体内实验的结合是研究MTTA代谢的有力工具。这种方法能够开发用于检测生物样品中MTTA及其主要代谢物的分析方法。开发用于识别新药及其主要代谢物的分析方法对于在生物标本中检测新型精神活性物质极为有用。事实上,高通量方法对于揭示新型精神活性物质的实际使用范围及其毒性非常宝贵。