1. Biodistribution and metabolic profile of 3,4-dimethylmethcathinone (3,4-DMMC) in Wistar rats through gas chromatography–mass spectrometry (GC–MS) analysis
- Author
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Daniela Rouxinol, Diana Silva, João Pedro Silva, Maria de Lourdes Bastos, Félix Carvalho, and Helena Carmo
- Subjects
0301 basic medicine ,Drug ,Biodistribution ,media_common.quotation_subject ,Adipose tissue ,Urine ,Toxicology ,Gas Chromatography-Mass Spectrometry ,03 medical and health sciences ,0302 clinical medicine ,Drug Stability ,Limit of Detection ,Animals ,Toxicokinetics ,Tissue Distribution ,Rats, Wistar ,Biotransformation ,media_common ,Detection limit ,Propiophenones ,Psychotropic Drugs ,Chromatography ,Illicit Drugs ,Chemistry ,Reproducibility of Results ,General Medicine ,3,4-Dimethylmethcathinone ,030104 developmental biology ,Female ,Gas chromatography–mass spectrometry ,Injections, Intraperitoneal ,030217 neurology & neurosurgery - Abstract
3,4-Dimethylmethcathinone (3,4-DMMC) is a new psychoactive substance whose recreational use and trade have recently increased. Given the absence of information on the toxicokinetics of 3,4-DMMC, the present work aimed at validating a GC–MS methodology for the drug quantification in biological matrices, and further characterizing its biodistribution in Wistar rats. The method was validated based on the evaluation of the drug stability, limit of detection and quantification, linearity, selectivity, precision, accuracy and recovery. To characterize biodistribution, Wistar rats were administered with 20 or 40 mg/Kg of 3,4-DMMC i.p.. After 1 h or 24 h, rats were anaesthetized, euthanized and blood, brain, liver, heart, kidneys, lungs, spleen, urine (only at 24 h), and a portion of gut, muscle and adipose tissue were collected for analysis. After 1 h, 3,4-DMMC was present in all analysed matrices, and the presence of two metabolites was further detected in all of them. The drug accumulation was higher in kidneys, lungs, spleen and brain. After 24 h, 3,4-DMMC was only present in urine, along with five metabolites. All metabolites were tentatively identified. Through elucidation of the most appropriate analytical matrices and the metabolites that may have the largest detection windows, these data are expected to assist in future clinical and forensic investigations.
- Published
- 2020