Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death
Author(s) -
Bogumila Katarzyna Pesko,
Stefan Weidt,
Marκ McLaughlin,
Daniel J. Wescott,
Hazel J. Torrance,
Karl Burgess,
Richard Burchmore
Publication year - 2020
Publication title -
omics a journal of integrative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.811
H-Index - 58
eISSN - 1557-8100
pISSN - 1536-2310
DOI - 10.1089/omi.2020.0084
Subject(s) - metabolomics , metabolome , biology , computational biology , timeline , bioinformatics , archaeology , history
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.
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