Cargando…
Metabolomics investigation of post-mortem human pericardial fluid
INTRODUCTION: Due to its peculiar anatomy and physiology, the pericardial fluid is a biological matrix of particular interest in the forensic field. Despite this, the available literature has mainly focused on post-mortem biochemistry and forensic toxicology, while to the best of authors’ knowledge...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567860/ https://www.ncbi.nlm.nih.gov/pubmed/37402012 http://dx.doi.org/10.1007/s00414-023-03050-w |
_version_ | 1785119229564944384 |
---|---|
author | Chighine, Alberto Stocchero, Matteo Ferino, Giulio De-Giorgio, Fabio Conte, Celeste Nioi, Matteo d’Aloja, Ernesto Locci, Emanuela |
author_facet | Chighine, Alberto Stocchero, Matteo Ferino, Giulio De-Giorgio, Fabio Conte, Celeste Nioi, Matteo d’Aloja, Ernesto Locci, Emanuela |
author_sort | Chighine, Alberto |
collection | PubMed |
description | INTRODUCTION: Due to its peculiar anatomy and physiology, the pericardial fluid is a biological matrix of particular interest in the forensic field. Despite this, the available literature has mainly focused on post-mortem biochemistry and forensic toxicology, while to the best of authors’ knowledge post-mortem metabolomics has never been applied. Similarly, estimation of the time since death or post-mortem interval based on pericardial fluids has still rarely been attempted. OBJECTIVES: We applied a metabolomic approach based on (1)H nuclear magnetic resonance spectroscopy to ascertain the feasibility of monitoring post-mortem metabolite changes on human pericardial fluids with the aim of building a multivariate regression model for post-mortem interval estimation. METHODS: Pericardial fluid samples were collected in 24 consecutive judicial autopsies, in a time frame ranging from 16 to 170 h after death. The only exclusion criterion was the quantitative and/or qualitative alteration of the sample. Two different extraction protocols were applied for low molecular weight metabolites selection, namely ultrafiltration and liquid-liquid extraction. Our metabolomic approach was based on the use of (1)H nuclear magnetic resonance and multivariate statistical data analysis. RESULTS: The pericardial fluid samples treated with the two experimental protocols did not show significant differences in the distribution of the metabolites detected. A post-mortem interval estimation model based on 18 pericardial fluid samples was validated with an independent set of 6 samples, giving a prediction error of 33–34 h depending on the experimental protocol used. By narrowing the window to post-mortem intervals below 100 h, the prediction power of the model was significantly improved with an error of 13–15 h depending on the extraction protocol. Choline, glycine, ethanolamine, and hypoxanthine were the most relevant metabolites in the prediction model. CONCLUSION: The present study, although preliminary, shows that PF samples collected from a real forensic scenario represent a biofluid of interest for post-mortem metabolomics, with particular regard to the estimation of the time since death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00414-023-03050-w. |
format | Online Article Text |
id | pubmed-10567860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105678602023-10-13 Metabolomics investigation of post-mortem human pericardial fluid Chighine, Alberto Stocchero, Matteo Ferino, Giulio De-Giorgio, Fabio Conte, Celeste Nioi, Matteo d’Aloja, Ernesto Locci, Emanuela Int J Legal Med Original Article INTRODUCTION: Due to its peculiar anatomy and physiology, the pericardial fluid is a biological matrix of particular interest in the forensic field. Despite this, the available literature has mainly focused on post-mortem biochemistry and forensic toxicology, while to the best of authors’ knowledge post-mortem metabolomics has never been applied. Similarly, estimation of the time since death or post-mortem interval based on pericardial fluids has still rarely been attempted. OBJECTIVES: We applied a metabolomic approach based on (1)H nuclear magnetic resonance spectroscopy to ascertain the feasibility of monitoring post-mortem metabolite changes on human pericardial fluids with the aim of building a multivariate regression model for post-mortem interval estimation. METHODS: Pericardial fluid samples were collected in 24 consecutive judicial autopsies, in a time frame ranging from 16 to 170 h after death. The only exclusion criterion was the quantitative and/or qualitative alteration of the sample. Two different extraction protocols were applied for low molecular weight metabolites selection, namely ultrafiltration and liquid-liquid extraction. Our metabolomic approach was based on the use of (1)H nuclear magnetic resonance and multivariate statistical data analysis. RESULTS: The pericardial fluid samples treated with the two experimental protocols did not show significant differences in the distribution of the metabolites detected. A post-mortem interval estimation model based on 18 pericardial fluid samples was validated with an independent set of 6 samples, giving a prediction error of 33–34 h depending on the experimental protocol used. By narrowing the window to post-mortem intervals below 100 h, the prediction power of the model was significantly improved with an error of 13–15 h depending on the extraction protocol. Choline, glycine, ethanolamine, and hypoxanthine were the most relevant metabolites in the prediction model. CONCLUSION: The present study, although preliminary, shows that PF samples collected from a real forensic scenario represent a biofluid of interest for post-mortem metabolomics, with particular regard to the estimation of the time since death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00414-023-03050-w. Springer Berlin Heidelberg 2023-07-04 2023 /pmc/articles/PMC10567860/ /pubmed/37402012 http://dx.doi.org/10.1007/s00414-023-03050-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Chighine, Alberto Stocchero, Matteo Ferino, Giulio De-Giorgio, Fabio Conte, Celeste Nioi, Matteo d’Aloja, Ernesto Locci, Emanuela Metabolomics investigation of post-mortem human pericardial fluid |
title | Metabolomics investigation of post-mortem human pericardial fluid |
title_full | Metabolomics investigation of post-mortem human pericardial fluid |
title_fullStr | Metabolomics investigation of post-mortem human pericardial fluid |
title_full_unstemmed | Metabolomics investigation of post-mortem human pericardial fluid |
title_short | Metabolomics investigation of post-mortem human pericardial fluid |
title_sort | metabolomics investigation of post-mortem human pericardial fluid |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567860/ https://www.ncbi.nlm.nih.gov/pubmed/37402012 http://dx.doi.org/10.1007/s00414-023-03050-w |
work_keys_str_mv | AT chighinealberto metabolomicsinvestigationofpostmortemhumanpericardialfluid AT stoccheromatteo metabolomicsinvestigationofpostmortemhumanpericardialfluid AT ferinogiulio metabolomicsinvestigationofpostmortemhumanpericardialfluid AT degiorgiofabio metabolomicsinvestigationofpostmortemhumanpericardialfluid AT conteceleste metabolomicsinvestigationofpostmortemhumanpericardialfluid AT nioimatteo metabolomicsinvestigationofpostmortemhumanpericardialfluid AT dalojaernesto metabolomicsinvestigationofpostmortemhumanpericardialfluid AT locciemanuela metabolomicsinvestigationofpostmortemhumanpericardialfluid |