Identification of etazene (etodesnitazene) metabolites in human urine by LC-HRMS

被引:6
|
作者
Verougstraete, Nick [1 ]
Verhaeghe, Annick [2 ]
Germonpre, Jan [3 ]
Lebbinck, Herve [3 ]
Verstraete, Alain G. [4 ]
机构
[1] Ghent Univ Hosp, Dept Lab Med, Ghent, Belgium
[2] AZ West, Clin Lab, Veurne, Belgium
[3] AZ West, Intens Care Unit, Veurne, Belgium
[4] Univ Ghent, Dept Diagnost Sci, Ghent, Belgium
关键词
etazene; etodesnitazene; high-resolution mass spectrometry (HRMS); new psychoactive substances (NPS); new synthetic opioids (NSOs);
D O I
10.1002/dta.3377
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Etazene (or etodesnitazene) is a novel and highly active synthetic opioid belonging to the rapidly evolving and emerging group of "nitazenes." Etazene metabolites were identified through analysis of a human urine sample. The sample was obtained from a 25-year-old man who attempted suicide by taking a new psychoactive substances (NPS) cocktail purchased online and was analyzed by ultrahigh performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS). Etazene metabolites were predicted with BioTransformer 3.0, and the exact masses were added to the inclusion list. Eight possible metabolites were identified in the urine sample. N- and O-deethylation were identified as the predominant metabolism routes, resulting in M1 (O-deethylated etazene; most abundant metabolite based on the peak area), M2 (N-deethylated etazene), and M3 (N,O-dideethylated etazene) metabolites. Less abundant hydroxylated products of these deethylated metabolites and etazene were also found. Additionally, in the analysis without beta-glucuronidase treatment, M1- and M3-glucuronide phase II metabolites were found. As N- and O-deethylated products seem to be the predominant urinary metabolites, the detection of these metabolites in urine can be useful to demonstrate etazene exposure.
引用
收藏
页码:235 / 239
页数:5
相关论文
共 50 条
  • [21] Simultaneous quantification of estrogens, their precursors and conjugated metabolites in human breast cancer cells by LC-HRMS without derivatization
    Poschner, Stefan
    Zehl, Martin
    Maier-Salamon, Alexandra
    Jaeger, Walter
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2017, 138 : 344 - 350
  • [22] Performance of combined fragmentation and retention prediction for the identification of organic micropollutants by LC-HRMS
    Hu, Meng
    Mueller, Erik
    Schymanski, Emma L.
    Ruttkies, Christoph
    Schulze, Tobias
    Brack, Werner
    Krauss, Martin
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2018, 410 (07) : 1931 - 1941
  • [23] Administration Route Differentiation of Altrenogest via the Metabolomic LC-HRMS Analysis of Equine Urine
    Elbourne, Madysen
    Keledjian, John
    Cawley, Adam
    Fu, Shanlin
    MOLECULES, 2024, 29 (21):
  • [24] Pesticide residues and polyphenols in urine - A combined LC-HRMS screening to reveal intake patterns
    Huber, Carolin
    Brack, Werner
    Roeder, Stefan
    von Bergen, Martin
    Rolle-Kampczyk, Ulrike
    Zenclussen, Ana Claudia
    Krauss, Martin
    Herberth, Gunda
    ENVIRONMENT INTERNATIONAL, 2024, 191
  • [25] Identification of unique metabolite signatures in post-mortem DBS human tissue using LC-HRMS
    Vedam-Mai, V.
    Sternberg, S.
    Williams, M.
    Garrett, T.
    Okun, M. S.
    MOVEMENT DISORDERS, 2016, 31 : S20 - S20
  • [26] Quantification of Efavirenz Hydroxymetabolites in Human Plasma Using LC-HRMS/MS
    Bergstrand, Madeleine Pettersson
    Soeria-Atmadja, Sandra
    Barclay, Victoria
    Tolic, Jelena
    Naver, Lars
    Gustafsson, Lars L.
    Pohanka, Anton
    THERAPEUTIC DRUG MONITORING, 2024, 46 (04) : 468 - 476
  • [27] Facilitated Qualitative Determination of Insulin, Its Synthetic Analogs, and C-Peptide in Human Urine by Means of LC-HRMS
    Thomas, Andreas
    Benzenberg, Lukas
    Bally, Lia
    Thevis, Mario
    METABOLITES, 2021, 11 (05)
  • [28] Identification of LC-HRMS nontarget signals in groundwater after source related prioritization
    Kiefer, Karin
    Du, Letian
    Singer, Heinz
    Hollender, Juliane
    WATER RESEARCH, 2021, 196
  • [29] Performance of combined fragmentation and retention prediction for the identification of organic micropollutants by LC-HRMS
    Meng Hu
    Erik Müller
    Emma L. Schymanski
    Christoph Ruttkies
    Tobias Schulze
    Werner Brack
    Martin Krauss
    Analytical and Bioanalytical Chemistry, 2018, 410 : 1931 - 1941
  • [30] Evaluation of parabens and their metabolites in fish and fish products: a comprehensive analytical approach using LC-HRMS
    Chiesa, Luca Maria
    Pavlovic, Radmila
    Panseri, Sara
    Arioli, Francesco
    FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, 2018, 35 (12): : 2400 - 2413