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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.
Afiliación
  • Chighine A; Cittadella Universitaria di Monserrato, 09042, Monserrato (CA), Italy. alberto.chighine@unica.it.
  • Stocchero M; Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy. alberto.chighine@unica.it.
  • Ferino G; Department of Women's and Children's Health, University of Padova, Padova, Italy.
  • De-Giorgio F; Department of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.
  • Conte C; Department of Health Care Surveillance and Bioethics, Section of Legal Medicine, Catholic University of Rome, Rome, Italy.
  • Nioi M; Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
  • d'Aloja E; Department of Health Care Surveillance and Bioethics, Section of Legal Medicine, Catholic University of Rome, Rome, Italy.
  • Locci E; Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.
Int J Legal Med ; 137(6): 1875-1885, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37402012
ABSTRACT

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 1H 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 1H 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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Int J Legal Med Asunto de la revista: JURISPRUDENCIA Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Int J Legal Med Asunto de la revista: JURISPRUDENCIA Año: 2023 Tipo del documento: Article País de afiliación: Italia