Abstract
Estimation of the post-mortem interval (PMI) remains a matter of concern in the forensic scenario. Traditional and novel approaches are not yet able to fully address this issue, which relies on complex biological phenomena triggered by death. For this purpose, eye compartments may be chosen for experimental studies because they are more resistant to post-mortem modifications. Vitreous humour, in particular, has been extensively investigated, with potassium concentration ([K+]) being the marker that is better correlated with PMI estimation. Recently, a 1H nuclear magnetic resonance (NMR) metabolomic approach based on aqueous humour (AH) from an animal model was proposed for PMI estimation, resulting in a robust and validated regression model. Here we studied the variation in [K+] in the same experimental setup. [K+] was determined through capillary ion analysis (CIA) and a regression analysis was performed. Moreover, it was investigated whether the PMI information related to potassium could improve the metabolome predictive power in estimating the PMI. Interestingly, we found that a part of the metabolomic profile is able to explain most of the information carried by potassium, suggesting that the rise in both potassium and metabolite concentrations relies on a similar biological mechanism. In the first 24-h PMI window, the AH metabolomic profile shows greater predictive power than [K+] behaviour, suggesting its potential use as an additional tool for estimating the time since death.
Highlights
Accurate post-mortem interval (PMI) estimation is a challenging issue in forensic pathology
The objective of the present study was to perform a PMI regression analysis based on aqueous [K+] variation with the aim of comparing the results with those previously obtained by 1H nuclear magnetic resonance (NMR) metabolomics, provided that vitreous potassium is currently considered to be the best experimental predictor for PMI estimation
[K+] levels were determined in 59 aqueous humour (AH) samples collected at different PMI, ranging from 118 to 1429 min
Summary
Accurate post-mortem interval (PMI) estimation is a challenging issue in forensic pathology. Studies have mainly focused on applying a regression analysis to find the best linear relationship between the variation in [K+] and the PMI. Confidence intervals were calculated up to 120 h after death. Several analytical and statistical approaches have been reported, but no univocal regression line for PMI estimation has been obtained. The lack of reproducibility is related to the cause of death, the duration of the agonal period, the external temperature, the cadaver putrefaction, pathologic conditions, the VH pre-treatment before analysis and the analytical platform.
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