1. Tackling new psychoactive substances through metabolomics: UHPLC-HRMS study on natural and synthetic opioids in male and female murine models.
- Author
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Di Francesco G, Montesano C, Vincenti F, Bilel S, Corli G, Petrella G, Cicero DO, Gregori A, Marti M, and Sergi M
- Subjects
- Animals, Male, Female, Mice, Chromatography, High Pressure Liquid methods, Psychotropic Drugs urine, Mass Spectrometry methods, Metabolome drug effects, Metabolomics methods, Analgesics, Opioid urine, Fentanyl analogs & derivatives, Fentanyl urine, Fentanyl metabolism, Morphine urine
- Abstract
Novel psychoactive substances (NPS) represent a broad class of drugs new to the illicit market that often allow passing drug-screening tests. They are characterized by a variety of structures, rapid transience on the drug scene and mostly unknown metabolic profiles, thus creating an ever-changing scenario with evolving analytical targets. The present study aims at developing an indirect screening strategy for NPS monitoring, and specifically for new synthetic opioids (NSOs), based on assessing changes in endogenous urinary metabolite levels as a consequence of the systemic response following their intake. The experimental design involved in-vivo mice models: 16 animals of both sex received a single administration of morphine or fentanyl. Urine was collected before and after administration at different time points; the samples were then analysed with an untargeted metabolomics LC-HRMS workflow. According to our results, the intake of opioids resulted in an elevated energy demand, that was more pronounced on male animals, as evidenced by the increase in medium and long chain acylcarnitines levels. It was also shown that opioid administration disrupted the pathways related to catecholamines biosynthesis. The observed alterations were common to both morphine and fentanyl: this evidence indicate that they are not related to the chemical structure of the drug, but rather on the drug class. The proposed strategy may reinforce existing NPS screening approaches, by identifying indirect markers of drug assumption., (© 2024. The Author(s).)
- Published
- 2024
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