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Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death
INTRODUCTION: Death is the permanent cessation of the critical functions of the organism as a whole. However, the shutdown of a complex biological organism does not abruptly terminate at time of death. New high-throughput technologies allow the systematic investigation of the biochemical modulations...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476858/ https://www.ncbi.nlm.nih.gov/pubmed/30834988 http://dx.doi.org/10.1007/s11306-019-1498-1 |
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author | Mora-Ortiz, Marina Trichard, Marianne Oregioni, Alain Claus, Sandrine P. |
author_facet | Mora-Ortiz, Marina Trichard, Marianne Oregioni, Alain Claus, Sandrine P. |
author_sort | Mora-Ortiz, Marina |
collection | PubMed |
description | INTRODUCTION: Death is the permanent cessation of the critical functions of the organism as a whole. However, the shutdown of a complex biological organism does not abruptly terminate at time of death. New high-throughput technologies allow the systematic investigation of the biochemical modulations occurring after death. Recent genomics studies have demonstrated that genes remain active after death, triggering upregulation of some genes and initiating feedback loops. These genes were mostly involved in pathways related to immunity, inflammation and cancer. These genetic modulations suggest many biochemical events persist after death, which can be captured using a metabolomics approach. OBJECTIVES: This proof of concept work aimed to determine whether NMR spectroscopy could identify metabolomics changes occurring after death, and characterise the nature of these metabolomics modulations. METHODS: High-resolution (1)H-NMR spectroscopy was applied to six biological matrices: heart, kidney, liver, spleen, skin and white adipose tissue of ten adult mice at three different type points. RESULTS: Forty-three metabolites were associated with post mortem metabolomics modulations. Kidney, heart and spleen showed the highest metabolic perturbations. Conversely, skin and white adipose tissue were the least altered matrices. Early metabolic modulations were associated with energy metabolism and DNA synthesis, by contrast, late metabolomics modulations were associated with microbial metabolism. CONCLUSIONS: NMR has proven potential to determine the time of death based on post-mortem metabolomics modulations. This could be useful in the context of transplants, forensic studies and as internal quality control in metabolomics studies. Further investigations are required to validate these findings in humans in order to determine which compounds robustly reflect post-mortem metabolic fluctuations to accurately determine the time of death. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-019-1498-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6476858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-64768582019-05-14 Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death Mora-Ortiz, Marina Trichard, Marianne Oregioni, Alain Claus, Sandrine P. Metabolomics Original Article INTRODUCTION: Death is the permanent cessation of the critical functions of the organism as a whole. However, the shutdown of a complex biological organism does not abruptly terminate at time of death. New high-throughput technologies allow the systematic investigation of the biochemical modulations occurring after death. Recent genomics studies have demonstrated that genes remain active after death, triggering upregulation of some genes and initiating feedback loops. These genes were mostly involved in pathways related to immunity, inflammation and cancer. These genetic modulations suggest many biochemical events persist after death, which can be captured using a metabolomics approach. OBJECTIVES: This proof of concept work aimed to determine whether NMR spectroscopy could identify metabolomics changes occurring after death, and characterise the nature of these metabolomics modulations. METHODS: High-resolution (1)H-NMR spectroscopy was applied to six biological matrices: heart, kidney, liver, spleen, skin and white adipose tissue of ten adult mice at three different type points. RESULTS: Forty-three metabolites were associated with post mortem metabolomics modulations. Kidney, heart and spleen showed the highest metabolic perturbations. Conversely, skin and white adipose tissue were the least altered matrices. Early metabolic modulations were associated with energy metabolism and DNA synthesis, by contrast, late metabolomics modulations were associated with microbial metabolism. CONCLUSIONS: NMR has proven potential to determine the time of death based on post-mortem metabolomics modulations. This could be useful in the context of transplants, forensic studies and as internal quality control in metabolomics studies. Further investigations are required to validate these findings in humans in order to determine which compounds robustly reflect post-mortem metabolic fluctuations to accurately determine the time of death. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-019-1498-1) contains supplementary material, which is available to authorized users. Springer US 2019-03-05 2019 /pmc/articles/PMC6476858/ /pubmed/30834988 http://dx.doi.org/10.1007/s11306-019-1498-1 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Mora-Ortiz, Marina Trichard, Marianne Oregioni, Alain Claus, Sandrine P. Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death |
title | Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death |
title_full | Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death |
title_fullStr | Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death |
title_full_unstemmed | Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death |
title_short | Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death |
title_sort | thanatometabolomics: introducing nmr-based metabolomics to identify metabolic biomarkers of the time of death |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6476858/ https://www.ncbi.nlm.nih.gov/pubmed/30834988 http://dx.doi.org/10.1007/s11306-019-1498-1 |
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