Retrospective screening of new psychoactive substances (NPS) in post mortem samples from 2014 to 2021.

New psychoactive substances Post mortem blood samples Retrospective screening UHPLC-QTOF-MS

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
06 Jul 2024
Historique:
received: 29 02 2024
revised: 21 06 2024
accepted: 30 06 2024
medline: 10 7 2024
pubmed: 10 7 2024
entrez: 9 7 2024
Statut: aheadofprint

Résumé

Systematic retrospective processing of previously analysed biological samples has been proven to be a valuable tool in the search for new drugs (e.g. new psychoactive substances (NPS)) and for quality assessment in clinical and forensic toxicology. In a previous study, we developed a strategy for retrospective data-analysis using a personalized library of synthetic cannabinoids, designer benzodiazepines and synthetic opioids obtained from the crowdsourced database HighResNPS (https://highresnps.com). In this study, the same strategy was employed for the compounds within the groups of NPS that were not previously included such as synthetic cathinones, phenethylamines, aminoindanes, arylalkylamines, piperazine derivates, piperidines, pyrrolidines, indolalkylamines and arylcyclohexylamines. Synthetic opioids and designer benzodiazepines, which were not part of the previous study, were also included. To enhance the effectiveness of the retrospective analysis, a predicted retention time was included for all entries. Data files from the analysis of 2186 forensic post mortem samples with an Agilent Technologies 6540 ultra-high pressure liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) performed in the laboratory from January 2014 to December 2021 were retrospectively processed with the up-to-date library. Tentative findings were classified in two groups: The findings where MS/MS data was acquired for library match (category 1) and the less certain findings where such data lacked (category 2). Five compounds of category 1 (three synthetic cathinones and two indolalkylamines) were identified in 12 samples. Only one of the findings, 4-MEAPP (4-methyl-α-ethylaminopentiophenone), was deemed plausible after reviewing case information. As many as 501 presumably positive category 2 findings were detected. Using the predicted retention time as an additional criterion the number was significantly reduced but still too high for a manual review. This work has demonstrated that the strategy developed in the previous study can be applied to other NPS groups. However, it is important to note the limitations such a method may have in detecting compounds at very low concentrations.

Identifiants

pubmed: 38981414
pii: S0379-0738(24)00212-3
doi: 10.1016/j.forsciint.2024.112131
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112131

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Per Ole M Gundersen (POM)

Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway. Electronic address: per.ole.m.gundersen@stolav.no.

Daniel Pasin (D)

Forensic Laboratory Division, Office of the Chief Medical Examiner, San Francisco, CA 94124, United States.

Lars Slørdal (L)

Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.

Olav Spigset (O)

Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.

Martin Josefsson (M)

Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden; National Forensic Centre, Drug Unit, Linköping, Sweden.

Classifications MeSH