Evidence map›Paper›PMID 32617663›Full record

ArticleInternational journal of legal medicine2020

A novel approach for the forensic diagnosis of drowning by microbiological analysis with next-generation sequencing and unweighted UniFrac-based PCoA.

Lin-Lin Wang, Fu-Yuan Zhang, Wen-Wen Dong, Chang-Liang Wang, Xue-Ying Liang, Long-Long Suo, Jian Cheng, Miao Zhang, Xiang-Shen Guo, Peng-Hao Jiang and 2 more

Abstract read
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Article in International journal of legal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Lin-Lin WangDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Fu-Yuan ZhangDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Wen-Wen DongDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Chang-Liang WangCollaborative Laboratory of Intelligentized Forensic Science, Shenyang, China.
Xue-Ying LiangThe Third Clinical Department, China Medical University, Shenyang, China.
Long-Long SuoDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Jian ChengDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Miao ZhangDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Xiang-Shen GuoDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Peng-Hao JiangDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China.
Da-Wei GuanDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China. dwguan@cmu.edu.cn.
Rui ZhaoDepartment of Forensic Pathology, China Medical University School of Forensic Medicine, Shenyang, China. rzhao@cmu.edu.cn.

Funding

China Postdoctoral Science Foundation 2019M651170Liaoning Natural Science Foundation 20180550722National Key Research and Development Program of China 2018YFC0807204National Natural Science Foundation of China 81801874National Natural Science Foundation of China 81871529National Natural Science Foundation of China 81971793
6 · The paper itself

Abstract

The diagnosis of drowning is one of the major challenges in forensic practice, especially when the corpse is in a state of decomposition. Novel indicators of drowning are desired in the field of forensic medicine. In the past decade, aquatic bacteria have attracted great attention from forensic experts because they can easily enter the blood circulation with drowning medium, and some of them can proliferate in the corpse. Recently, the advent of next-generation sequencing (NGS) has created new opportunities to efficiently analyze whole microbial communities and has catalyzed the development of forensic microbiology. We presumed that NGS could be a potential method for diagnosing drowning. In the present study, we verified this hypothesis by fundamental experiments in drowned and postmortem-submersed rat models. Our study revealed that detecting the bacterial communities with NGS and processing the data in a transparent way with unweighted UniFrac-based principal coordinates analysis (PCoA) could clearly discriminate the skin, lung, blood, and liver specimens of the drowning group and postmortem submersion group. Furthermore, the acquired information could be used to identify new cases. Taken together, these results suggest that we could build a microbial database of drowned and postmortem-submersed victims by NGS and subsequently use a bioinformatic method to diagnose drowning in future forensic practice.

Indexed as

High-Throughput Nucleotide SequencingAnimalsAquatic OrganismsBacteriaBloodDisease Models, AnimalDrowningForensic MedicineLiverLungMaleRatsRats, Sprague-DawleySkinDrowning diagnosisForensic medicineForensic microbiologyNGSPCoA

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.