Evidence map›Paper›PMID 29636512›Full record

ArticleScientific reports2018

A large-scale survey of the postmortem human microbiome, and its potential to provide insight into the living health condition.

Jennifer L Pechal, Carl J Schmidt, Heather R Jordan, M Eric Benbow

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
–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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Microbiome and well-being: a meta-analysis.NPJ biofilms and microbiomes · 2025
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  9. Assessing the risk ofFrontiers in public health · 2026
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11 more citing papers are in PubMed but not listed here.

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

4 authors.

Jennifer L PechalMichigan State University, Department of Entomology, East Lansing, MI, 48824, USA. pechalje@msu.edu.ORCID 0000-0002-2588-2519
Carl J SchmidtWayne County Medical Examiner's Office, Detroit, MI, 48207, USA.
Heather R JordanMississippi State University, Department of Biological Sciences, Mississippi State, MS, 39762, USA.
M Eric BenbowMichigan State University, Department of Entomology, East Lansing, MI, 48824, USA. benbow@msu.edu.ORCID 0000-0003-2630-0282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiome plays many roles in human health, often through the exclusive lens of clinical interest. The inevitable end point for all living hosts, death, has its own altered microbiome configurations. However, little is understood about the ecology and changes of microbial communities after death, or their potential utility for understanding the health condition of the recently living. Here we reveal distinct postmortem microbiomes of human hosts from a large-scale survey of death cases representing a predominantly urban population, and demonstrated these microbiomes reflected antemortem health conditions within 24-48 hours of death. Our results characterized microbial community structure and predicted function from 188 cases representing a cross-section of an industrial-urban population. We found strong niche differentiation of anatomic habitat and microbial community turnover based on topographical distribution. Microbial community stability was documented up to two days after death. Additionally, we observed a positive relationship between cell motility and time since host death. Interestingly, we discovered evidence that microbial biodiversity is a predictor of antemortem host health condition (e.g., heart disease). These findings improve the understanding of postmortem host microbiota dynamics, and provide a robust dataset to test the postmortem microbiome as a tool for assessing health conditions in living populations.

Indexed as

AutopsyMicrobiotaComputational BiologyCross-Sectional StudiesHumansMetagenomeMetagenomicsTime Factors

Identifiers

PMID29636512
PMCPMC5893548

What OpenQuestion holds

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Registered trials

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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.