TY - JOUR
T1 - Postmortem metabolomics
T2 - Strategies to assess time-dependent postmortem changes of diazepam, nordiazepam, morphine, codeine, mirtazapine and citalopram
AU - Brockbals, Lana
AU - Wartmann, Yannick
AU - Mantinieks, Dylan
AU - Glowacki, Linda L.
AU - Gerostamoulos, Dimitri
AU - Kraemer, Thomas
AU - Steuer, Andrea E.
N1 - Funding Information:
Funding: This research was funded by the Emma Louise Kessler fond of the Zurich Institute of Forensic Medicine.
Publisher Copyright:
© 2021 by the authors. Li-censee MDPI, Basel, Switzerland.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/9
Y1 - 2021/9
N2 - Postmortem redistribution (PMR) can result in artificial drug concentration changes fol-lowing death and complicate forensic case interpretation. Currently, no accurate methods for PMR prediction exist. Hence, alternative strategies were developed investigating the time-dependent postmortem behavior of diazepam, nordiazepam, morphine, codeine, mirtazapine and citalopram. For 477 authentic postmortem cases, femoral blood samples were collected at two postmortem time-points. All samples were quantified for drugs of abuse (targeted; liquid chromatography-tandem mass spectrometry LC-MS/MS) and characterized for small endogenous molecules (untargeted; gas chromatography-high resolution MS (GC-HRMS). Trends for significant time-dependent concentration decreases (diazepam (n = 137), nordiazepam (n = 126)), increases (mirtazapine (n = 55), cital-opram (n = 50)) or minimal median postmortem changes (morphine (n = 122), codeine (n = 92)) could be observed. Robust mathematical mixed effect models were created for the generalized postmortem behavior of diazepam and nordiazepam, which could be used to back-calculate drug concentrations towards a time-point closer to the estimated time of death (caution: inter-individual varia-bility). Significant correlations between time-dependent concentration changes of morphine, mirtazapine and citalopram with individual endogenous molecules could be determined; no correlation was deemed strong enough for successful a posteriori estimation on the occurrence of PMR for specific cases. The current dataset did successfully lead to a significant knowledge gain in further understanding the time-dependent postmortem behavior of the studied drugs (of abuse).
AB - Postmortem redistribution (PMR) can result in artificial drug concentration changes fol-lowing death and complicate forensic case interpretation. Currently, no accurate methods for PMR prediction exist. Hence, alternative strategies were developed investigating the time-dependent postmortem behavior of diazepam, nordiazepam, morphine, codeine, mirtazapine and citalopram. For 477 authentic postmortem cases, femoral blood samples were collected at two postmortem time-points. All samples were quantified for drugs of abuse (targeted; liquid chromatography-tandem mass spectrometry LC-MS/MS) and characterized for small endogenous molecules (untargeted; gas chromatography-high resolution MS (GC-HRMS). Trends for significant time-dependent concentration decreases (diazepam (n = 137), nordiazepam (n = 126)), increases (mirtazapine (n = 55), cital-opram (n = 50)) or minimal median postmortem changes (morphine (n = 122), codeine (n = 92)) could be observed. Robust mathematical mixed effect models were created for the generalized postmortem behavior of diazepam and nordiazepam, which could be used to back-calculate drug concentrations towards a time-point closer to the estimated time of death (caution: inter-individual varia-bility). Significant correlations between time-dependent concentration changes of morphine, mirtazapine and citalopram with individual endogenous molecules could be determined; no correlation was deemed strong enough for successful a posteriori estimation on the occurrence of PMR for specific cases. The current dataset did successfully lead to a significant knowledge gain in further understanding the time-dependent postmortem behavior of the studied drugs (of abuse).
KW - Correlation analysis
KW - Mathematical modeling
KW - Postmortem metabolomics
KW - Prediction strategies
KW - Time-dependent postmortem redistribution
UR - http://www.scopus.com/inward/record.url?scp=85115691387&partnerID=8YFLogxK
U2 - 10.3390/metabo11090643
DO - 10.3390/metabo11090643
M3 - Article
C2 - 34564459
AN - SCOPUS:85115691387
SN - 2218-1989
VL - 11
JO - Metabolites
JF - Metabolites
IS - 9
M1 - 643
ER -