Wang Linlin, Zhang Fuyuan, Zeng Kuo, Dong Wenwen, Yuan Huiya, Wang Ziwei, Liu Jin, Pan Jiaqing, Zhao Rui, Guan Dawei
Department of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Liaoning Province Key Laboratory of Forensic Bio-evidence Science, Shenyang, China.
Front Microbiol. 2022 Nov 15;13:1052808. doi: 10.3389/fmicb.2022.1052808. eCollection 2022.
Bodies recovered from water, especially in the late phase of decomposition, pose difficulties to the investigating authorities. Various methods have been proposed for postmortem submersion interval (PMSI) estimation and drowning identification, but some limitations remain. Many recent studies have proved the value of microbiota succession in viscera for postmortem interval estimation. Nevertheless, the visceral microbiota succession and its application for PMSI estimation and drowning identification require further investigation.
In the current study, mouse drowning and CO asphyxia models were developed, and cadavers were immersed in freshwater for 0 to 14 days. Microbial communities in the liver and brain were characterized 16S rDNA high-throughput sequencing.
Only livers and brains collected from 5 to 14 days postmortem were qualified for sequencing. There was significant variation between microbiota from liver and brain. Differences in microbiota between the cadavers of mice that had drowned and those only subjected to postmortem submersion decreased over the PMSI. Significant successions in microbial communities were observed among the different subgroups within the late phase of the PMSI in livers and brains. Eighteen taxa in the liver which were mainly related to and , and 26 taxa in the brain which were mainly belonged to , , and , were selected as potential biomarkers for PMSI estimation based on a random forest algorithm. The PMSI estimation models established yielded accurate prediction results with mean absolute errors ± the standard error of 1.282 ± 0.189 d for the liver and 0.989 ± 0.237 d for the brain.
The present study provides novel information on visceral postmortem microbiota succession in corpses submerged in freshwater which sheds new light on PMSI estimation based on the liver and brain in forensic practice.
从水中打捞上来的尸体,尤其是处于腐败后期的尸体,给调查当局带来了困难。已经提出了各种方法用于死后浸水间隔(PMSI)估计和溺水鉴定,但仍存在一些局限性。最近的许多研究已经证明内脏微生物群演替在死后间隔估计中的价值。然而,内脏微生物群演替及其在PMSI估计和溺水鉴定中的应用仍需进一步研究。
在本研究中,建立了小鼠溺水和一氧化碳窒息模型,并将尸体浸入淡水中0至14天。通过16S rDNA高通量测序对肝脏和大脑中的微生物群落进行表征。
仅死后5至14天收集的肝脏和大脑有资格进行测序。肝脏和大脑的微生物群之间存在显著差异。溺水小鼠尸体和仅经过死后浸水的小鼠尸体之间的微生物群差异在PMSI期间减小。在PMSI后期的不同亚组中,肝脏和大脑的微生物群落均观察到显著的演替。基于随机森林算法,选择肝脏中主要与 和 相关的18个分类单元以及大脑中主要属于 、 和 的26个分类单元作为PMSI估计的潜在生物标志物。所建立的PMSI估计模型产生了准确的预测结果,肝脏的平均绝对误差±标准误差为1.282±0.189天,大脑为0.989±0.237天。
本研究提供了关于淡水淹没尸体内脏死后微生物群演替的新信息,为法医实践中基于肝脏和大脑的PMSI估计提供了新的思路。