PMI estimation through metabolomics and potassium analysis on animal vitreous humour.

Autor: Locci, Emanuela, Stocchero, Matteo, Gottardo, Rossella, Chighine, Alberto, De-Giorgio, Fabio, Ferino, Giulio, Nioi, Matteo, Demontis, Roberto, Tagliaro, Franco, d'Aloja, Ernesto
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Zdroj: International Journal of Legal Medicine; May2023, Vol. 137 Issue 3, p887-895, 9p
Abstrakt: Introduction: The estimation of post-mortem interval (PMI) remains a major challenge in forensic science. Most of the proposed approaches lack the reliability required to meet the rigorous forensic standards. Objectives: We applied 1H NMR metabolomics to estimate PMI on ovine vitreous humour comparing the results with the actual scientific gold standard, namely vitreous potassium concentrations. Methods: Vitreous humour samples were collected in a time frame ranging from 6 to 86 h after death. Experiments were performed by using 1H NMR metabolomics and ion capillary analysis. Data were submitted to multivariate statistical data analysis. Results: A multivariate calibration model was built to estimate PMI based on 47 vitreous humour samples. The model was validated with an independent test set of 24 samples, obtaining a prediction error on the entire range of 6.9 h for PMI < 24 h, 7.4 h for PMI between 24 and 48 h, and 10.3 h for PMI > 48 h. Time-related modifications of the 1H NMR vitreous metabolomic profile could predict PMI better than potassium up to 48 h after death, whilst a combination of the two is better than the single approach for higher PMI estimation. Conclusion: The present study, although in a proof-of-concept animal model, shows that vitreous metabolomics can be a powerful tool to predict PMI providing a more accurate estimation compared to the widely studied approach based on vitreous potassium concentrations. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index