人脑组织中尸胺和腐胺水平的死后间隔估计

Abdelmonem G. Madboly, A. Hussein, Eslam S. Metwally
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引用次数: 1

摘要

背景:估计死后时间间隔(PMI)是法医调查的关键任务。基于PM生化变化的方法,如尸胺(Cad)和腐胺(Put),可以提供更准确的PMI数据。目的:通过气相色谱-质谱联用(GC-MS)和PMI测定人脑组织中Cad与Put水平的相关性,探讨两者是否可以作为PMI估计的可靠指标。方法:在对三名死于刺伤的男性受害者进行尸检时,采集了脑标本。尸体解剖是在死亡后三小时内完成的(死亡时刻是已知的)。准备15个脑标本(每个受害者5个,按照固定的时间表模拟渐进的死后间隔)注射到GC-MS中,并测量脑组织标本中的Cad和Put水平。结果:PMI升高,脑组织样品中Cad和Put水平均升高。Cad和Put水平与PMI之间存在统计学上高度显著的线性相关(p <0.0001)。本研究设计了基于脑组织中Cad和Put水平估算PMI的方程[Cad水平= (0.03 + 8.33E-3*计时);看跌水平=(0.09 + 0.03*时机)]。结论:Cad和Put都被认为是估计PMI的有价值的生物标志物,然而,Put作为PMI的生物标志物比Cad更准确,因为99.5%的Put水平的变化是由于采样的渐进时间,而Cad只有75.2%。
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CADAVERINE AND PUTRESCINE LEVELS IN HUMAN BRAIN TISSUE FOR POSTMORTEM INTERVAL ESTIMATION
Background: Estimation of the postmortem interval (PMI) is a pivotal task in forensic investigations. Methods that relied on PM biochemical alteration of the compounds such as cadaverine (Cad), and putrescine (Put) can provide more accurate data about the exact PMI. Aim: To investigate the correlation between Cad and Put levels in human brain tissue, measured by gas chromatography-mass spectrometry (GC-MS) and the PMI, to see if they can be used as reliable indicators for PMI estimation. Methodology: Brain specimens were taken during the autopsy of three male victims who died from stab wounds. The autopsy was done within three hours after death (the moment of death was known). The fifteen brain specimens (five from each victim’s brain, according to a fixed schedule to simulate progressive postmortem intervals) were prepared for injection into the GC-MS, and the levels of Cad and Put in the brain tissue specimens were measured. Results: Both Cad and Put levels increased in the brain tissue samples if the PMI increased. There was a statistically highly significant (p <0.0001) linear correlation between both Cad and Put levels and the PMI. The present study designed equations for estimating the PMI based on the determined Cad and Put levels in brain tissues [Cad level = (0.03 + 8.33E-3*timing); Put level = (0.09 + 0.03*timing)]. Conclusion: Both Cad and Put are considered valuable biomarkers for estimating the PMI, however, put as a biomarker of PMI is more accurate than Cad, as 99.5% of the variability of Put levels was due to the progressive timing of sampling, compared to that of Cad, which was only 75.2%.
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