Evidence map›Paper›PMID 33420339›Full record

ArticleScientific reports2021

Potential use of molecular and structural characterization of the gut bacterial community for postmortem interval estimation in Sprague Dawley rats.

Huan Li, Siruo Zhang, Ruina Liu, Lu Yuan, Di Wu, E Yang, Han Yang, Shakir Ullah, Hafiz Muhammad Ishaq, Hailong Liu and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Huan LiDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, China.
Siruo ZhangDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, China.
Ruina LiuCollege of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, China.
Lu YuanDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, China.
Di WuCollege of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, China.
E YangDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, China.
Han YangXi'an Chest Hospital, Xi'an, China.
Shakir UllahDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, China.
Hafiz Muhammad IshaqFaculty of Veterinary and Animal Sciences, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan.
Hailong LiuThe Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zhenyuan WangCollege of Forensic Medicine, Xi'an Jiaotong University, Xi'an, 710061, China. wzy218@xjtu.edu.cn.
Jiru XuDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, 710061, China. xujiru@mail.xjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Once the body dies, the indigenous microbes of the host begin to break down the body from the inside and play a key role thereafter. This study aimed to investigate the probable shift in the composition of the rectal microbiota at different time intervals up to 15 days after death and to explore bacterial taxa important for estimating the time since death. At the phylum level, Proteobacteria and Firmicutes showed major shifts when checked at 11 different intervals and emerged at most of the postmortem intervals. At the species level, Enterococcus faecalis and Proteus mirabilis showed a downward and upward trend, respectively, after day 5 postmortem. The phylum-, family-, genus-, and species-taxon richness decreased initially and then increased considerably. The turning point occurred on day 9, when the genus, rather than the phylum, family, or species, provided the most information for estimating the time since death. We constructed a prediction model using genus-level data from high-throughput sequencing, and seven bacterial taxa, namely, Enterococcus, Proteus, Lactobacillus, unidentified Clostridiales, Vagococcus, unidentified Corynebacteriaceae, and unidentified Enterobacteriaceae, were included in this model. The abovementioned bacteria showed potential for estimating the shortest time since death.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaDNA, BacterialPostmortem ChangesRatsRats, Sprague-DawleyDNA, Bacterial

Identifiers

PMID33420339
PMCPMC7794466

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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.