TY - JOUR
T1 - Metabolism of JWH-015, JWH-098, JWH-251, and JWH-307 in silico and in vitro: a pilot study for the detection of unknown synthetic cannabinoids metabolites
AU - Strano Rossi, Sabina
AU - Anzillotti, Luca
AU - Pascali, Vincenzo Lorenzo
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Forensic toxicology
KW - In silico metabolism prediction
KW - In vitro metabolism
KW - Synthetic cannabinoids
KW - Forensic toxicology
KW - In silico metabolism prediction
KW - In vitro metabolism
KW - Synthetic cannabinoids
UR - http://hdl.handle.net/10807/61879
U2 - 10.1007/s00216-014-7793-9
DO - 10.1007/s00216-014-7793-9
M3 - Article
SN - 1618-2650
VL - 406
SP - 3621
EP - 3636
JO - Analytical and Bioanalytical Chemistry
JF - Analytical and Bioanalytical Chemistry
ER -