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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc., publishers
2020
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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. |
format | Online Article Text |
id | pubmed-7687049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Mary Ann Liebert, Inc., publishers |
record_format | MEDLINE/PubMed |
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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