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死后代谢组学:评估地西泮、去甲地西泮、吗啡、可待因、米氮平和西酞普兰死后随时间变化的策略

Postmortem Metabolomics: Strategies to Assess Time-Dependent Postmortem Changes of Diazepam, Nordiazepam, Morphine, Codeine, Mirtazapine and Citalopram.

作者信息

Brockbals Lana, Wartmann Yannick, Mantinieks Dylan, Glowacki Linda L, Gerostamoulos Dimitri, Kraemer Thomas, Steuer Andrea E

机构信息

Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057 Zurich, Switzerland.

Department of Forensic Medicine, Monash University, 65 Kavanagh Street, Southbank, VIC 3006, Australia.

出版信息

Metabolites. 2021 Sep 20;11(9):643. doi: 10.3390/metabo11090643.

Abstract

Postmortem redistribution (PMR) can result in artificial drug concentration changes following 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 ( = 137), nordiazepam ( = 126)), increases (mirtazapine ( = 55), citalopram ( = 50)) or minimal median postmortem changes (morphine ( = 122), codeine ( = 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 variability). 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).

摘要

死后再分布(PMR)可导致死后药物浓度发生人为变化,使法医案件的解读变得复杂。目前,尚无准确的PMR预测方法。因此,人们开发了替代策略,研究地西泮、去甲地西泮、吗啡、可待因、米氮平和西酞普兰的时间依赖性死后行为。对于477例真实的死后案例,在两个死后时间点采集股血样本。所有样本均针对滥用药物进行定量分析(靶向分析;液相色谱-串联质谱法LC-MS/MS),并对小分子内源性物质进行特征分析(非靶向分析;气相色谱-高分辨率质谱法GC-HRMS)。可以观察到显著的时间依赖性浓度下降趋势(地西泮(n = 137)、去甲地西泮(n = 126))、上升趋势(米氮平(n = 55)、西酞普兰(n = 50))或死后中位数变化极小的趋势(吗啡(n = 122)、可待因(n = 92))。针对地西泮和去甲地西泮的广义死后行为建立了稳健的数学混合效应模型,该模型可用于反向计算更接近估计死亡时间的时间点的药物浓度(注意:个体间存在变异性)。可以确定吗啡、米氮平和西酞普兰的时间依赖性浓度变化与个体内源性分子之间存在显著相关性;但对于特定案例中PMR的发生,没有足够强的相关性可用于成功的事后估计。当前数据集确实成功地在进一步了解所研究的(滥用)药物的时间依赖性死后行为方面带来了显著的知识增益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a7/8466227/520efd8a49aa/metabolites-11-00643-g001.jpg

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