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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chighine, Alberto, Stocchero, Matteo, Ferino, Giulio, De-Giorgio, Fabio, Conte, Celeste, Nioi, Matteo, d’Aloja, Ernesto, Locci, Emanuela
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