1. Metabolomics investigation of post-mortem human pericardial fluid.
- Author
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Chighine A, Stocchero M, Ferino G, De-Giorgio F, Conte C, Nioi M, d'Aloja E, and Locci E
- Subjects
- Humans, Male, Female, Middle Aged, Adult, Aged, Multivariate Analysis, Magnetic Resonance Spectroscopy, Liquid-Liquid Extraction, Aged, 80 and over, Pericardial Fluid chemistry, Pericardial Fluid metabolism, Metabolomics, Postmortem Changes
- 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
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 of1 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., (© 2023. The Author(s).)- Published
- 2023
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