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基于肠道微生物群落演替对淡水打捞尸体的死后浸没时间间隔进行估计

Postmortem submersion interval estimation of cadavers recovered from freshwater based on gut microbial community succession.

作者信息

Zhang Fuyuan, Wang Pengfei, Zeng Kuo, Yuan Huiya, Wang Ziwei, Li Xinjie, Yuan Haomiao, Du Shukui, Guan Dawei, Wang Linlin, Zhao Rui

机构信息

Department of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.

Liaoning Province Key Laboratory of Forensic Bio-evidence Science, Shenyang, China.

出版信息

Front Microbiol. 2022 Dec 2;13:988297. doi: 10.3389/fmicb.2022.988297. eCollection 2022.

Abstract

Microbial community succession during decomposition has been proven to be a useful tool for postmortem interval (PMI) estimation. Numerous studies have shown that the intestinal microbial community presented chronological changes after death and was stable in terrestrial corpses with different causes of death. However, the postmortem pattern of intestinal microbial community succession in cadavers retrieved from water remains unclear. For immersed corpses, the postmortem submersion interval (PMSI) is a useful indicator of PMI. To provide reliable estimates of PMSI in forensic investigations, we investigated the gut microbial community succession of corpses submersed in freshwater and explored its potential application in forensic investigation. In this study, the intestinal microbial community of mouse submersed in freshwater that died of drowning or CO asphyxia (i.e., postmortem submersion) were characterized by 16S rDNA amplification and high-throughput sequencing, followed by bioinformatic analyses. The results demonstrated that the chronological changes in intestinal bacterial communities were not different between the drowning and postmortem submersion groups. α-diversity decreased significantly within 14 days of decomposition in both groups, and the β-diversity bacterial community structure ordinated chronologically, inferring the functional pathway and phenotype. To estimate PMSI, a regression model was established by random forest (RF) algorithm based on the succession of postmortem microbiota. Furthermore, 15 genera, including , , and others, were selected as candidate biomarkers to set up a concise predicted model, which provided a prediction of PMSI [MAE (± SE) = 0.818 (± 0.165) d]. Overall, our present study provides evidence that intestinal microbial community succession would be a valuable marker to estimate the PMSI of corpses submerged in an aquatic habitat.

摘要

分解过程中的微生物群落演替已被证明是一种用于估计死后间隔时间(PMI)的有用工具。大量研究表明,死后肠道微生物群落呈现出随时间变化的规律,并且在不同死因的陆生尸体中保持稳定。然而,从水中打捞的尸体肠道微生物群落的死后演替模式仍不清楚。对于浸在水中的尸体,死后浸水间隔时间(PMSI)是PMI的一个有用指标。为了在法医调查中提供可靠的PMSI估计,我们研究了浸在淡水中尸体的肠道微生物群落演替,并探索了其在法医调查中的潜在应用。在本研究中,通过16S rDNA扩增和高通量测序对浸在淡水中因溺水或一氧化碳窒息死亡(即死后浸水)的小鼠肠道微生物群落进行了表征,随后进行了生物信息学分析。结果表明,溺水组和死后浸水组肠道细菌群落的时间变化没有差异。两组在分解的14天内α多样性均显著下降,β多样性细菌群落结构按时间顺序排列,推断出功能途径和表型。为了估计PMSI,基于死后微生物群的演替,通过随机森林(RF)算法建立了回归模型。此外,选择了包括 、 等在内的15个属作为候选生物标志物,建立了一个简洁的预测模型,该模型提供了PMSI的预测[平均绝对误差(±标准误差)=0.818(±0.165)天]。总体而言,我们目前的研究提供了证据,表明肠道微生物群落演替将是估计水生栖息地中浸在水中尸体PMSI的一个有价值的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec69/9756852/3358b7582bde/fmicb-13-988297-g001.jpg

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