肺微生物群特征作为溺水诊断和死后淹没间隔估计的有前途的生物指标。

IF 2.2 3区 医学 Q1 MEDICINE, LEGAL
Kuo Zeng, Fu-Yuan Zhang, Ming-Zhe Wu, Hao-Miao Yuan, Shu-Kui Du, Jin-Cheng Ying, Yan Zhang, Lin-Lin Wang, Rui Zhao, Da-Wei Guan
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引用次数: 0

摘要

溺水诊断和死后淹没间隔(PMSI)估计仍然是法医实践中的主要挑战。我们最近的研究提供了证据,证明肠道、肝脏和大脑等多个器官的微生物群演替是PMSI估计的有价值指标。同时,浸泡3 d的尸体肺部微生物群呈现溺水和死后浸泡的明显差异。然而,我们对这种差异持续多久以及肺中的分解者微生物群落如何随着分解的进展而变化的理解存在差距。在这里,我们描述了被淹没0至14天的小鼠死后肺部微生物群,这些小鼠被淹死或因二氧化碳窒息而死亡。我们的研究表明,大多数在死后3天前收集的样本不足以进行测序。肺部的微生物群在很大程度上受到水生环境中定植的微生物的影响。溺死和死后浸泡之间的微生物群差异随着分解逐渐消失,可以在死后10天内用于溺水诊断。同时,选取22个判别能力较好的分类群,采用随机森林算法建立判别溺水与死后淹没的分类模型(AUC = 0.92,准确率= 81.25%)。此外,我们还选择了另外20个具有明显时间变化的候选样本进行PMSI估计,结果令人满意(平均绝对误差±标准误差= 0.976±0.189 d)。总之,我们进一步证明了肺部微生物群特征是一种有希望的生物指标,用于法医鉴定水中腐烂尸体的死亡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbiota signature of the lung as the promising bioindicator for drowning diagnosis and postmortem submersion interval estimation.

Drowning diagnosis and postmortem submersion interval (PMSI) estimation are still major challenges in forensic practice. Our recent studies provided evidence that microbiota successions in multiple organs, including intestine, liver, and brain, were valuable indicators for PMSI estimation. Meanwhile, microbiota in the lung from corpses submerged for 3 days presented obvious difference between drowning and postmortem submersion. However, gaps exist in our understanding of how long this difference lasts and how the decomposer microbial community in the lung changes with progression of decomposition. Here, we characterized the postmortem microbiota in the lung of mice submerged for 0 to 14 days, which were drowned or sacrificed by CO2 asphyxia. Our study revealed that most samples collected before 3 days postmortem were not qualified enough for sequencing. The microbiota in the lung was largely influenced by the microbes colonized in the aquatic environment. Differences in microbiota between drowning and postmortem submersion faded over decomposition and could be used for drowning diagnosis within 10 days postmortem. Meanwhile, 22 taxa with good discriminative ability were identified to establish the classification model for discriminating drowning and postmortem submersion (AUC = 0.92, accuracy = 81.25%) by random forest algorithm. Twenty other candidates exhibiting obviously temporal changes were selected for PMSI estimation, which yield satisfactory performance (mean absolute errors ± the standard error = 0.976 ± 0.189 d). Altogether, we provide further evidence that microbiota signature of the lung is a promising bioindicator for the forensic death investigations of decomposed bodies recovered from water.

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来源期刊
CiteScore
5.80
自引率
9.50%
发文量
165
审稿时长
1 months
期刊介绍: The International Journal of Legal Medicine aims to improve the scientific resources used in the elucidation of crime and related forensic applications at a high level of evidential proof. The journal offers review articles tracing development in specific areas, with up-to-date analysis; original articles discussing significant recent research results; case reports describing interesting and exceptional examples; population data; letters to the editors; and technical notes, which appear in a section originally created for rapid publication of data in the dynamic field of DNA analysis.
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