Zissler Angela, Stoiber Walter, Steinbacher Peter, Geissenberger Janine, Monticelli Fabio C, Pittner Stefan
Department of Biosciences, University of Salzburg, 5020 Salzburg, Austria.
Department of Forensic Medicine, University of Salzburg, 5020 Salzburg, Austria.
Diagnostics (Basel). 2020 Nov 26;10(12):1014. doi: 10.3390/diagnostics10121014.
We provide a systematic review of the literature to evaluate the current research status of protein degradation-based postmortem interval (PMI) estimation. Special attention is paid to the applicability of the proposed approaches/methods in forensic routine practice. A systematic review of the literature on protein degradation in tissues and organs of animals and humans was conducted. Therefore, we searched the scientific databases Pubmed and Ovid for publications until December 2019. Additional searches were performed in Google Scholar and the reference lists of eligible articles. A total of 36 studies were included. This enabled us to consider the degradation pattern of over 130 proteins from 11 different tissues, studied with different methods including well-established and modern approaches. Although comparison between studies is complicated by the heterogeneity of study designs, tissue types, methods, proteins and outcome measurement, there is clear evidence for a high explanatory power of protein degradation analysis in forensic PMI analysis. Although only few approaches have yet exceeded a basic research level, the current research status provides strong evidence in favor of the applicability of a protein degradation-based PMI estimation method in routine forensic practice. Further targeted research effort towards specific aims (also addressing influencing factors and exclusion criteria), especially in human tissue will be required to obtain a robust, reliable laboratory protocol, and collect sufficient data to develop accurate multifactorial mathematical decomposition models.
我们对文献进行了系统综述,以评估基于蛋白质降解的死后间隔时间(PMI)估计的当前研究现状。特别关注所提出的方法在法医常规实践中的适用性。对动物和人类组织器官中蛋白质降解的文献进行了系统综述。因此,我们在科学数据库PubMed和Ovid中搜索截至2019年12月的出版物。还在谷歌学术搜索以及符合条件文章的参考文献列表中进行了额外搜索。共纳入36项研究。这使我们能够考虑来自11种不同组织的130多种蛋白质的降解模式,这些研究采用了包括成熟方法和现代方法在内的不同方法。尽管由于研究设计、组织类型、方法、蛋白质和结果测量的异质性,研究之间的比较很复杂,但有明确证据表明蛋白质降解分析在法医PMI分析中具有很高的解释力。尽管目前只有少数方法超越了基础研究水平,但当前的研究现状提供了有力证据,支持基于蛋白质降解的PMI估计方法在法医常规实践中的适用性。需要针对特定目标(也包括解决影响因素和排除标准)进行进一步的有针对性研究,尤其是在人体组织方面,以获得一个稳健、可靠的实验室方案,并收集足够的数据来开发准确的多因素数学分解模型。