Insights into the metabolism of CH-PIATA - a novel synthetic cannabinoid featuring an acetamide linker.

in silico metabolite prediction HepG2 cells LC–QToF-MS Synthetic cannabinoid receptor agonists (SCRAs) acetamide linker biotransformation new psychoactive substances (NPS) pHLM

Journal

Journal of analytical toxicology
ISSN: 1945-2403
Titre abrégé: J Anal Toxicol
Pays: England
ID NLM: 7705085

Informations de publication

Date de publication:
05 Mar 2024
Historique:
received: 10 10 2023
revised: 08 01 2024
accepted: 13 02 2024
medline: 5 3 2024
pubmed: 5 3 2024
entrez: 5 3 2024
Statut: aheadofprint

Résumé

The recent change from the popular carboxamide to an acetamide (ATA) linker scaffold in synthetic cannabinoid receptor agonists (SCRAs) can be interpreted as an attempt to circumvent legal regulations, setting new analytical challenges. Metabolites of N-cyclohexyl-2-(1-pentyl-1H-indol-3-yl)acetamide: CH-PIATA, the second ATA type SCRA detected in the EU, were investigated in urine and serum samples by LC-HRMS-MS and LC-MS-MS. Two different in vitro models: a pHLM assay and HepG2-cells as well as an in silico prediction by GLORYx freeware assisted in metabolite formation/identification. CH-PIATA was extensively metabolized, leading to metabolites formed primarily by mono- and dihydroxylation. For urine and serum specimens, monohydroxylation at the indole core or the methylene spacer of the acetamide linker (M1.8), carboxylic acid formation at the N-pentyl side chain (M3.1), and degradation of the latter leading to a tentatively identified N-propionic acid metabolite (M5.1) are suggested as reliable markers for substance intake. The N-propionic acid metabolite could not be confirmed in the in vitro assays as it includes multiple consecutive metabolic reactions. Furthermore, CH-PIATA could be detected as parent substance in blood samples, but not in urine. Both in vitro assays and the in silico tool proved suitable for predicting metabolites of CH-PIATA. Considering effort and costs, pHLM incubations seem to be more effective for metabolite prediction in forensic toxicology. The highlighted phase I metabolites serve as reliable urinary targets for confirming CH-PIATA use. The in silico approach is advantageous when reference material is unavailable.

Identifiants

pubmed: 38441323
pii: 7619257
doi: 10.1093/jat/bkae013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Annette Zschiesche (A)

Institute of Forensic Medicine, Forensic Toxicology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstr. 9, 79104 Freiburg, Germany.
Hermann Staudinger Graduate School, University of Freiburg, Hebelstr. 27, 79104 Freiburg, Germany.

Martin Scheu (M)

Institute of Forensic Medicine, Forensic Toxicology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstr. 9, 79104 Freiburg, Germany.
Hermann Staudinger Graduate School, University of Freiburg, Hebelstr. 27, 79104 Freiburg, Germany.

Detlef Thieme (D)

Institute of Doping Analysis and Sports Biochemistry Dresden, Kreischa, Germany.

Annekathrin M Keiler (AM)

Institute of Doping Analysis and Sports Biochemistry Dresden, Kreischa, Germany.
Faculty of Biology, Environmental Monitoring and Endocrinology, TU Dresden University of Technology, Dresden, Germany.

Benedikt Pulver (B)

Institute of Forensic Medicine, Forensic Toxicology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstr. 9, 79104 Freiburg, Germany.

Laura M Huppertz (LM)

Institute of Forensic Medicine, Forensic Toxicology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstr. 9, 79104 Freiburg, Germany.

Volker Auwärter (V)

Institute of Forensic Medicine, Forensic Toxicology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Albertstr. 9, 79104 Freiburg, Germany.

Classifications MeSH