Suspect and non-target screening workflows to investigate the in vitro and in vivo metabolism of the synthetic cannabinoid 5-Cl-THJ-018 - 27/04/19
, P. Vervliet, C. Guys, M. Degreef, K. Maudens, A. Covaci, A.-L.-N. Van Nuijs, L.-F. Yin
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Resumen |
Objective |
Use of synthetic cannabinoids cause similar effects as Δ9-tetrahydrocannabinol. Long-term and acute (ab)use can lead to health hazards and fatal intoxications respectively. As most investigated synthetic cannabinoids undergo extensive biotransformation, almost no parent compound can be detected in urine, which hampers forensic investigations [1]. Limited information about biotransformation products of new synthetic cannabinoids makes the detection of these drugs in various biological matrices challenging. This study aimed to identify the main in vitro biotransformation products of 5-Cl-THJ-018 and compare the in vitro findings with authentic urine samples of 5-Cl-THJ-018 users.
Methods |
5-Cl-THJ-018 was incubated with pooled human liver microsomes and cytosol to simulate phase I and phase II biotransformations. Samples were analyzed with liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (LC-QTOF-MS). Three different data-analysis workflows were applied for identifying the biotransformation products. The suspect screening workflow used a database built from literature and in silico biotransformation predictions by the Meteor Nexus software (Lhasa Limited). The two non-target screening Methods used the MassProfiler Professional (Agilent) and the open source software for mass spectrometry data processing MZmine 2.29 respectively. The obtained m/z features were further processed and visualized using open source R software.
Results |
A total of 23 biotransformation products were identified. Phase I biotransformation included hydroxylation, oxidative dechlorination and dihydrodiol formation pathways. Also, five glucuronidated and three sulphated phase II conjugates have been identified. Seven biotransformation products were also identified in the in vivo sample.
Conclusions |
The application of non-target screening workflows in parallel to suspect screening increased the number of metabolites being identified. As only dechlorinated metabolites were identified in the in vivo urine sample, no specific biomarkers could be proposed to distinguish 5-Cl-THJ-018 use from the use of similar (non-) halogenated analogues.
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Vol 31 - N° 2S
P. S50-S51 - mai 2019 Regresar al número
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