Evidence map›Paper›PMID 33095683›Full record

ArticleOmics : a journal of integrative biology2020

Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death.

Bogumila K Pesko, Stefan Weidt, Mark McLaughlin, Daniel J Wescott, Hazel Torrance, Karl Burgess, Richard Burchmore

Abstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. "Omics" and Postmortem Interval Estimation: A Systematic Review.International journal of molecular sciences · 2025
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  15. RedefiningFrontiers in microbiology · 2025
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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

7 authors.

Bogumila K PeskoGlasgow Polyomics, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, United Kingdom.
Stefan WeidtGlasgow Polyomics, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, United Kingdom.
Mark McLaughlinVeterinary Biosciences, School of Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.
Daniel J WescottDepartment of Anthropology, Forensic Anthropology Center at Texas State (FACTS), Texas State University, San Marcos, Texas, USA.
Hazel TorranceForensic Medicine and Science Department, University of Glasgow, Glasgow, United Kingdom.
Karl BurgessGlasgow Polyomics, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, United Kingdom.
Richard BurchmoreGlasgow Polyomics, Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The success of forensic investigations involving fatalities very often depends on the establishment of the correct timeline of events. Currently used methods for estimating the postmortem interval (PMI) are mostly dependent on the professional and tacit experience of the investigator, and often with poor reliability in the absence of robust biological markers. The aim of this study was to investigate the potential of metabolomic approaches to highlight molecular markers for PMI. Rat and human muscle tissues, collected at various times postmortem, were analyzed using an untargeted metabolomics approach. Levels of certain metabolites (skatole, xanthine, n-acetylneuraminate, 1-methylnicotinamide, choline phosphate, and uracil) as well as most proteinogenic amino acids increased steadily postmortem. Threonine, tyrosine, and lysine show the most predictable evolution over the postmortem period, and may thus have potential for possible PMI markers in the future. This study demonstrates how a biomarker discovery approach can be extended to forensic investigations using untargeted metabolomics.

Indexed as

BiomarkersPostmortem ChangesAgedAnimalsFemaleHumansMaleMetabolomicsMiddle AgedOrgan SpecificityRatsSpecies SpecificityBiomarkersamino acidsbiomarkersforensic sciencemetabolomicsmuscle metabolitespostmortem interval

Identifiers

PMID33095683
PMCPMC7687049

What OpenQuestion holds

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Registered trials

None linked

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.