Abstract
This pilot study was performed to study the main metabolic reactions of four synthetic cannabinoids: JWH-015, JWH-098, JWH-251, and JWH-307 in order to setup a screening method for the detection of main metabolites in biological fluids. In silico prediction of main metabolic reactions was performed using MetaSite(™) software. To evaluate the agreement between software prediction and experimental reactions, we performed in vitro experiments on the same JWHs using rat liver slices. The obtained samples were analyzed by liquid chromatography-quadrupole time-of-flight and the identification of metabolites was executed using Mass-MetaSite(™) software that automatically assigned the metabolite structures to the peaks detected based on their accurate masses and fragmentation. A comparison between the experimental findings and the in silico metabolism prediction using MetaSite(™) software showed a good accordance between experimental and in silico data. Thus, the use of in silico metabolism prediction might represent a useful tool for the forensic and clinical toxicologist to identify possible main biomarkers for synthetic cannabinoids in biological fluids, especially urine, following their administration.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 3621-3636 |
| Numero di pagine | 16 |
| Rivista | Analytical and Bioanalytical Chemistry |
| Volume | 406 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2014 |
Keywords
- Forensic toxicology
- In silico metabolism prediction
- In vitro metabolism
- Synthetic cannabinoids
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