Estudio mediante técnicas moleculares del tanatomicrobioma intestinal en la estimación del intervalo post mortem temprano empleando un modelo de ratón

Q3 Medicine
Ángel M. Aragonés, Eduardo Martínez-Manzanares, Silvana Teresa Tapia-Paniagua
{"title":"Estudio mediante técnicas moleculares del tanatomicrobioma intestinal en la estimación del intervalo post mortem temprano empleando un modelo de ratón","authors":"Ángel M. Aragonés,&nbsp;Eduardo Martínez-Manzanares,&nbsp;Silvana Teresa Tapia-Paniagua","doi":"10.1016/j.reml.2021.09.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Currently, the lack of reliable quantitative methods has led different research lines to find a model that predicts the postmortem interval (PMI). The thanatomicrobiome, present from the moment of death, has been shown to change in predictable ways, allowing a correlation with PMI.</p></div><div><h3>Materials and methods</h3><p>In this study, the shifts of the thanatomicrobiome in the region of the posterior small intestine and the ascending colon in Mus musculus during the first 24 hrs of decomposition have been analyzed experimentally. For this purpose, a molecular approach based on the analysis of the 16S ribosomal gene (16S rRNA) and a denaturing gradient gel electrophoresis (DGGE) was adopted, followed by analyses of the ecological diversity indices Alpha and beta diversity.</p></div><div><h3>Results</h3><p>The results based on the analysis of the ecological diversity indices reflected statistically significant changes before 12 hrs, and a decrease in diversity after 12 hrs postmortem, this being statistically significant in the two intestinal regions analyzed. Moreover, the comparative study of microbial communities indicated distinct and structured changes from the moment of death, with shifts in the degree of similarity from the composition detected in life (PMI 0 hrs).</p></div><div><h3>Discussion</h3><p>These results agree with other studies demonstrating a decrease in microbial diversity. However, under the conditions of the study, this decrease does not begin until 12 hrs after death.</p></div><div><h3>Conclusions</h3><p>In conclusion, by examining the dynamics of bacterial diversity our study has identified phases during decomposition that could help to improve microbial correlation models for PMI estimation.</p></div>","PeriodicalId":35705,"journal":{"name":"Revista Espanola de Medicina Legal","volume":"48 3","pages":"Pages 107-114"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Espanola de Medicina Legal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377473221000948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction

Currently, the lack of reliable quantitative methods has led different research lines to find a model that predicts the postmortem interval (PMI). The thanatomicrobiome, present from the moment of death, has been shown to change in predictable ways, allowing a correlation with PMI.

Materials and methods

In this study, the shifts of the thanatomicrobiome in the region of the posterior small intestine and the ascending colon in Mus musculus during the first 24 hrs of decomposition have been analyzed experimentally. For this purpose, a molecular approach based on the analysis of the 16S ribosomal gene (16S rRNA) and a denaturing gradient gel electrophoresis (DGGE) was adopted, followed by analyses of the ecological diversity indices Alpha and beta diversity.

Results

The results based on the analysis of the ecological diversity indices reflected statistically significant changes before 12 hrs, and a decrease in diversity after 12 hrs postmortem, this being statistically significant in the two intestinal regions analyzed. Moreover, the comparative study of microbial communities indicated distinct and structured changes from the moment of death, with shifts in the degree of similarity from the composition detected in life (PMI 0 hrs).

Discussion

These results agree with other studies demonstrating a decrease in microbial diversity. However, under the conditions of the study, this decrease does not begin until 12 hrs after death.

Conclusions

In conclusion, by examining the dynamics of bacterial diversity our study has identified phases during decomposition that could help to improve microbial correlation models for PMI estimation.

利用分子技术研究肠道死亡微生物组,以小鼠模型估计死后早期间隔
目前,由于缺乏可靠的定量方法,不同的研究方向都在寻找一种预测死后间隔(PMI)的模型。从死亡那一刻起就存在的死亡微生物组已被证明以可预测的方式发生变化,从而与PMI相关。材料与方法本研究通过实验分析了小家鼠后小肠和升结肠区域在分解后的前24小时 小时内死亡微生物组的变化。为此,采用基于16S核糖体基因(16S rRNA)分析和变性梯度凝胶电泳(DGGE)的分子方法,分析生态多样性指数α和β多样性。结果生态多样性指数分析结果显示,死后12 小时前多样性变化有统计学意义,死后12 小时后多样性下降,在两个肠道区域均有统计学意义。此外,微生物群落的比较研究表明,从死亡那一刻起,微生物群落就发生了明显的结构性变化,与生命中检测到的组成相似程度发生了变化(PMI 0 hrs)。这些结果与其他表明微生物多样性减少的研究相一致。然而,在这项研究的条件下,这种下降直到死亡后12 小时才开始。总之,通过研究细菌多样性的动态,我们的研究确定了分解过程中的阶段,有助于改进微生物相关模型,用于PMI估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Revista Espanola de Medicina Legal
Revista Espanola de Medicina Legal Medicine-Pathology and Forensic Medicine
CiteScore
1.90
自引率
0.00%
发文量
27
审稿时长
41 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信