Kirstine Lykke Nielsen

Untargeted metabolomics applied retrospectively to UPLC-HR-TOFMS data of whole blood samples from Danish drivers exposed to 3,4-Methylenedioxymethamphetamine (MDMA, Ecstasy)

Publikation: KonferencebidragPosterForskningpeer review

Whole blood samples collected by the Danish police from drivers suspected driving under the influence of drugs are routinely screened by UPLC-HR-TOFMS in forensic analysis to determine the nature of potential drugs. Data collected within a two-year period was used for untargeted metabolomics to evaluate the drug metabolism of 3,4-methylenedioxymethamphetamine (MDMA, “Ecstasy”). Despite of the untraditional experimental setup, and a very heterogeneous population with different concentrations of MDMA/kg blood weight, as well as unknown information about amount and time of administration in relation to blood sampling, it was possible to extract meaningful information. Various statistical methods were tested and their predictability was validated by the positive identification of MDMA blood metabolites. In addition, endogenous metabolites that may be related to energy metabolism, the serotonergic syndrome, and drug induced neurotoxicity could be identified. The use of retrospective UPLC-HR-TOFMS forensic data is a potential new approach for identifying changes in human drug metabolism and endogenous biomarkers related to licit and illicit drug consumption and toxicology, especially in relation to new designer drugs.
Udgivelsesår7 dec. 2015
StatusUdgivet - 7 dec. 2015
BegivenhedMetaboMeeting 2015 - Robinson College, Cambridge University, Cambridge, Storbritannien
Varighed: 7 dec. 20159 dec. 2015


KonferenceMetaboMeeting 2015
LokationRobinson College, Cambridge University

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