Tozzo Pamela, Amico Irene, Delicati Arianna, Toselli Federico, Caenazzo Luciana
Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy.
Diagnostics (Basel). 2022 Oct 31;12(11):2641. doi: 10.3390/diagnostics12112641.
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.
死后间隔时间（PMI）的确定一直是法医学领域的一项具有挑战性的任务。多年来，人们尝试了各种创新方法，与传统方法相比，这些方法在被验证为成功的PMI估计方法方面均未取得成功。在过去的二十年中，测序技术的创新使得生成大量数据成为可能，从而能够对细菌群落的所有成员进行测序。本文的目的是通过使用16S rRNA测序鉴定尸体微生物群，对PMI估计的新进展进行综述，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，通过数据库搜索（PubMed）鉴定了800项研究。选择了与微生物组组成相关的PMI估计研究，并包含有关物种、采样身体部位、监测时间和测序方法的数据，最终共考虑了25项研究。所选研究基于微生物组测序评估了不同身体部位对确定人类和动物模型中PMI的贡献。该系统评价的结果突出表明，在动物和人类身上进行的研究均取得了有前景的结果。为了充分利用微生物组在PMI估计中的潜力，确定标准化的身体采样部位和特定的采样方法以对齐不同研究小组获得的数据将是可取的。
