Post-Mortem Interval and Microbiome Analysis through 16S rRNA Analysis: A Systematic Review.

IF 3.3
Pamela Tozzo, Irene Amico, Arianna Delicati, Federico Toselli, Luciana Caenazzo
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引用次数: 5

Abstract

The determination of the Post-Mortem Interval (PMI) is an issue that has always represented a challenge in the field of forensic science. Different innovative approaches, compared to the more traditional ones, have been tried over the years, without succeeding in being validated as successful methods for PMI estimation. In the last two decades, innovations in sequencing technologies have made it possible to generate large volumes of data, allowing all members of a bacterial community to be sequenced. The aim of this manuscript is to provide a review regarding new advances in PMI estimation through cadaveric microbiota identification using 16S rRNA sequencing, in order to correlate specific microbiome profiles obtained from different body sites to PMI. The systematic review was performed according to PRISMA guidelines. For this purpose, 800 studies were identified through database searching (Pubmed). Articles that dealt with PMI estimation in correlation with microbiome composition and contained data about species, body site of sampling, monitoring time and sequencing method were selected and ultimately a total of 25 studies were considered. The selected studies evaluated the contribution of the various body sites to determine PMI, based on microbiome sequencing, in human and animal models. The results of this systematic review highlighted that studies conducted on both animals and humans yielded results that were promising. In order to fully exploit the potential of the microbiome in the estimation of PMI, it would be desirable to identify standardized body sampling sites and specific sampling methods in order to align data obtained by different research groups.

Abstract Image

通过16S rRNA分析的死后时间和微生物组分析:系统综述。
死亡时间间隔的确定一直是法医学领域的一个难题。与更传统的方法相比,不同的创新方法已经尝试了多年,但没有成功地被验证为PMI估计的成功方法。在过去的二十年里,测序技术的创新使得产生大量数据成为可能,从而可以对细菌群落的所有成员进行测序。本文的目的是综述利用16S rRNA测序鉴定尸体微生物群来估计PMI的新进展,以便将从不同身体部位获得的特定微生物组谱与PMI相关联。系统评价按照PRISMA指南进行。为此,通过数据库检索(Pubmed)确定了800项研究。我们选择了与微生物组组成相关的PMI估算,包含物种、取样地点、监测时间和测序方法等数据的文章,最终考虑了25篇研究。所选的研究基于微生物组测序,在人类和动物模型中评估了不同身体部位对确定PMI的贡献。这一系统综述的结果强调,在动物和人类身上进行的研究都产生了有希望的结果。为了充分利用微生物组在估算PMI中的潜力,需要确定标准化的人体采样点和特定的采样方法,以便对不同研究小组获得的数据进行比对。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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