Li L, Zhao J B, Yan H, Liu W H, Xiang P, Wu H J
Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
School of Pharmacy, Yantai University, Yantai 264005, Shandong Province, China.
Fa Yi Xue Za Zhi. 2021 Aug;37(4):459. doi: 10.12116/j.issn.1004-5619.2021.310602.
Synthetic cannabinoids are currently a class of new psychoactive substances with the largest variety and most abused. Metabolite identification research can provide basic data for monitoring synthetic cannabinoids abuse, which is the current research hotspot. The main trend of structural modification of synthetic cannabinoid is to replace the fluorine atom on pentyl indole or indazole cyclopentyl with hydrogen atom, which greatly improves the biological activity of the compound. The main metabolic reactions include hydroxylation, fluoropentyl oxidative, ester hydrolyze, amide hydrolysis. Liquid chromatography-high resolution mass spectrometry has become the preferred choice for the structural identification of metabolites. This review mainly summarizes research on metabolism software prediction and human hepatocyte model, human liver microsomes model, rat in vivo model, zebrafish model and fungus model in metabolite identification based on the structure and classification of synthetic cannabinoids.
合成大麻素是目前种类最多、滥用最为广泛的一类新型精神活性物质。代谢物鉴定研究可为监测合成大麻素滥用提供基础数据,是当前的研究热点。合成大麻素结构修饰的主要趋势是将戊基吲哚或吲唑环戊基上的氟原子用氢原子取代,这大大提高了化合物的生物活性。主要代谢反应包括羟基化、氟戊基氧化、酯水解、酰胺水解。液相色谱-高分辨质谱已成为代谢物结构鉴定的首选方法。本综述主要基于合成大麻素的结构和分类,总结了代谢软件预测以及人肝细胞模型、人肝微粒体模型、大鼠体内模型、斑马鱼模型和真菌模型在代谢物鉴定方面的研究。