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人类死后肌肉蛋白质降解作为推断死亡时间的一种工具。

Postmortem muscle protein degradation in humans as a tool for PMI delimitation.

作者信息

Pittner Stefan, Ehrenfellner Bianca, Monticelli Fabio C, Zissler Angela, Sänger Alexandra M, Stoiber Walter, Steinbacher Peter

机构信息

Department of Cell Biology, University of Salzburg, Hellbrunnerstr. 34, 5020, Salzburg, Austria.

Department of Forensic Medicine and Forensic Neuropsychiatry, University of Salzburg, Ignaz-Harrer-Straße 79, 5020, Salzburg, Austria.

出版信息

Int J Legal Med. 2016 Nov;130(6):1547-1555. doi: 10.1007/s00414-016-1349-9. Epub 2016 Mar 7.

Abstract

Forensic estimation of time since death relies on diverse approaches, including measurement and comparison of environmental and body core temperature and analysis of insect colonization on a dead body. However, most of the applied methods have practical limitations or provide insufficient results under certain circumstances. Thus, new methods that can easily be implemented into forensic routine work are required to deliver more and discrete information about the postmortem interval (PMI). Following a previous work on skeletal muscle degradation in the porcine model, we analyzed human postmortem skeletal muscle samples of 40 forensic cases by Western blotting and casein zymography. Our results demonstrate predictable protein degradation processes in human muscle that are distinctly associated with temperature and the PMI. We provide information on promising degradation markers for certain periods of time postmortem, which can be useful tools for time since death delimitation. In addition, we discuss external influencing factors such as age, body mass index, sex, and cause of death that need to be considered in future routine application of the method in humans.

摘要

死亡时间的法医鉴定依赖于多种方法,包括环境温度与尸体核心温度的测量及比较,以及对尸体上昆虫定殖情况的分析。然而,大多数应用方法存在实际局限性,或在某些情况下提供的结果不充分。因此,需要能够轻松应用于法医日常工作的新方法,以提供更多关于死后间隔时间(PMI)的离散信息。继之前关于猪模型骨骼肌降解的研究工作之后,我们通过蛋白质免疫印迹法和酪蛋白酶谱法分析了40例法医案件的人类死后骨骼肌样本。我们的结果表明,人类肌肉中存在可预测的蛋白质降解过程,这些过程与温度和PMI显著相关。我们提供了死后特定时间段内有前景的降解标志物信息,这些标志物可作为确定死亡时间的有用工具。此外,我们还讨论了年龄、体重指数、性别和死因等外部影响因素,这些因素在该方法未来应用于人类的日常工作中需要加以考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a93/5055573/d6b610b4ae12/414_2016_1349_Fig1_HTML.jpg

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