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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

Overview of attention for article published in Analytical & Bioanalytical Chemistry, May 2014
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Title
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
Published in
Analytical & Bioanalytical Chemistry, May 2014
DOI 10.1007/s00216-014-7793-9
Pubmed ID
Authors

Sabina Strano-Rossi, Luca Anzillotti, Stefania Dragoni, Roberto Maria Pellegrino, Laura Goracci, Vincenzo Lorenzo Pascali, Gabriele Cruciani

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Ph. D. Student 7 15%
Student > Bachelor 5 11%
Other 5 11%
Student > Master 5 11%
Other 5 11%
Unknown 7 15%
Readers by discipline Count As %
Chemistry 17 37%
Agricultural and Biological Sciences 7 15%
Pharmacology, Toxicology and Pharmaceutical Science 6 13%
Biochemistry, Genetics and Molecular Biology 3 7%
Materials Science 3 7%
Other 3 7%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2014.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,601
of 9,619 outputs
Outputs of similar age
#178,185
of 242,100 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#52
of 76 outputs
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