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Published on: July 11, 2014
Postmortem metabolomics: Correlating time-dependent concentration changes of xenobiotic and endogenous compounds
Lana Brockbals1, Sandra N Staeheli1, Thomas Kraemer1
1Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Forensic toxicologists can now better estimate postmortem drug changes (postmortem redistribution) by correlating xenobiotic levels with specific endogenous compounds in blood. This study confirms the concept
Area of Science:
- Forensic Toxicology
- Analytical Chemistry
- Postmortem Biochemistry
Background:
- Postmortem redistribution (PMR) causes artificial xenobiotic concentration changes, complicating forensic toxicology.
- Estimating PMR occurrence after death is currently not possible.
- Postmortem biochemical shifts in blood may correlate with drug redistribution.
Purpose of the Study:
- To investigate correlations between time-dependent xenobiotic and endogenous compound concentration changes postmortem.
- To explore the potential of endogenous compounds as surrogates for studying PMR.
- To lay groundwork for a statistical model to estimate PMR occurrence.
Main Methods:
- Analysis of morphine and methadone concentrations in peripheral blood from 19 and 11 cases, respectively.
- Utilized postmortem metabolomics with targeted (56 analytes) and untargeted (1174 features) approaches.
- Employed liquid and gas chromatography-mass spectrometry for compound analysis.
Main Results:
- Statistically significant correlations were identified between morphine/methadone and specific endogenous compounds/features.
- The study successfully confirmed the general applicability of using endogenous compounds to study PMR.
- Individual correlations provide a basis for further investigation into PMR mechanisms.
Conclusions:
- The concept of correlating endogenous compounds with xenobiotic PMR is validated.
- Future research requires larger datasets to establish robust markers for PMR.
- Developing a statistical model for a posteriori PMR estimation is a critical next step for forensic practice.
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