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

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...

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Autores principales: Pesko, Bogumila K., Weidt, Stefan, McLaughlin, Mark, Wescott, Daniel J., Torrance, Hazel, Burgess, Karl, Burchmore, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687049/
https://www.ncbi.nlm.nih.gov/pubmed/33095683
http://dx.doi.org/10.1089/omi.2020.0084
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author Pesko, Bogumila K.
Weidt, Stefan
McLaughlin, Mark
Wescott, Daniel J.
Torrance, Hazel
Burgess, Karl
Burchmore, Richard
author_facet Pesko, Bogumila K.
Weidt, Stefan
McLaughlin, Mark
Wescott, Daniel J.
Torrance, Hazel
Burgess, Karl
Burchmore, Richard
author_sort Pesko, Bogumila K.
collection PubMed
description 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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spelling pubmed-76870492020-11-25 Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death Pesko, Bogumila K. Weidt, Stefan McLaughlin, Mark Wescott, Daniel J. Torrance, Hazel Burgess, Karl Burchmore, Richard OMICS Research Articles 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. Mary Ann Liebert, Inc., publishers 2020-11-01 2020-11-04 /pmc/articles/PMC7687049/ /pubmed/33095683 http://dx.doi.org/10.1089/omi.2020.0084 Text en © Bogumila K. Pesko, et al; 2020. Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the orginal work is properly credited.
spellingShingle Research Articles
Pesko, Bogumila K.
Weidt, Stefan
McLaughlin, Mark
Wescott, Daniel J.
Torrance, Hazel
Burgess, Karl
Burchmore, Richard
Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death
title Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death
title_full Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death
title_fullStr Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death
title_full_unstemmed Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death
title_short Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death
title_sort postmortomics: the potential of untargeted metabolomics to highlight markers for time since death
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687049/
https://www.ncbi.nlm.nih.gov/pubmed/33095683
http://dx.doi.org/10.1089/omi.2020.0084
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