Biochemical markers of time since death in cerebrospinal fluid: A first step towards<i>“Forensomics”</i>

Peyron, Pierre-Antoine; Lehmann, Sylvain; Delaby, Constance; Baccino, É.; Hirtz, Christophe

doi:10.1080/10408363.2019.1619158

Cited by 10 publications

(5 citation statements)

References 67 publications

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“…Accurate post-mortem interval (PMI) estimation is a challenging issue in forensic pathology. Traditional biochemical methods have been applied to identify metabolite changes after death in several biofluids [1][2][3]. Vitreous humour (VH) is the most studied fluid for post-mortem analysis given its correlation with ante-mortem serum composition and its longer stability compared with blood [4].…”

Section: Introductionmentioning

confidence: 99%

Comparative use of aqueous humour 1H NMR metabolomics and potassium concentration for PMI estimation in an animal model

et al. 2020

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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.

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Section: Introductionmentioning

confidence: 99%

Comparative use of aqueous humour 1H NMR metabolomics and potassium concentration for PMI estimation in an animal model

et al. 2020

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“…Another recent trend is the analysis of metabolites [64] produced as a consequence of the death process. Wu et al [65] studied the early PMI (0-72 h) using rat cardiac blood, detecting endogenous metabolites through GC-MS. Based on these metabolites, they created a statistical model to predict the PMI.…”

Section: Proteinsmentioning

confidence: 99%

Postmortem Interval Estimation: New Approaches by the Analysis of Human Tissues and Microbial Communities’ Changes

Zapico

Adserias‐Garriga

2022

Forensic Sciences

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There are several methodologies available to estimate time since death based on different changes that a corpse undergoes after death. However, these methods are imprecise due to the decomposition process being affected by several factors, principally temperature and humidity. Current trends for the determination of the Postmortem Interval (PMI) attempt to estimate the PMI in a quantifiable manner, based on chemical changes on and in the body, summarized in the field of “thanatochemistry”. Although these methodologies have improved PMI estimates, additional research has been developed to increase the accuracy and precision of this determination. As a result, the fields of “thanatobiology” and “thanatomicrobiome” have emerged. Thanatobiology is based on the estimation of the PMI from DNA/RNA degradation, signaling pathways of cell death, and protein analysis. Thanatomicrobiome refers to changes in the bacterial communities as a consequence of the decomposition process. Although both approaches seem to improve PMI estimates, applications of thanatobiology methodologies are more appropriate in the first phases of decomposition, while thanatomicrobiome analyses are applicable in advanced stages. Further research is needed in these new fields in order to establish their applicability in forensic cases. This is a review of the current state-of-the-art methodology in these two subfields.

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“…Сьогодні є чимало методів визначення ДНС, що базуються на різноманітних показниках, як то маркерах спинномозкової рідини [3,4,5], рівні інсуліну [6], триметиламіну [7], цитрату [8], протеїну [9], проте більшість маркерів мають ефективність лише у короткий час після настання смерті. Також маються неповні дані щодо часових інтервалів, що відповідають певним змінам рівнів маркерів; послідовності змін таких рівнів в залежності від факторів оточуючого середовища та індивідуальних особливостей трупа.…”

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Features of morphological changes of the uterus after the death prescription

Grygorian

Myroshnychenko

2021

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Background. Assessing the postmortem interval (PMI) is one of the most problematic issues in judicial practice. Objective. To investigate the morphological changes of uterus tissues to determine the PMI-dependent features of postmortem changes development. Methods. A morphological analysis of 40 uterus tissue samples was performed; consisting of two groups: first group – samples from the corpses of women aged 23 to 70 years (n = 34), second group – comparison group – biopsy material from 6 women with uterine prolapse, uterine leiomyoma, from unaffected areas. Results. In the period from 24 to 48 hours after death, there were changes in the form of a slight change in the structure of cellular elements, changes in their color, the presence of light gaps between connective tissue and muscle fibers. In the period from 48 to 72 hours, the destruction of the border between the muscular and serous membranes, blurred contours and ruptures of cells, severe swelling of muscle fibers, wide gaps between muscle fibers, a significant decrease in fibroblastic cells were observed. In addition, there was no endothelium in a significant number of vessels, loss of clarity of fiber bundles, lack of nuclei in a significant number of myocytes. Desquamed endothelial cells and hemolyzed erythrocytes were seen in the openings of most vessels. Conclusion. Histological examination of uterine tissues showed the presence of specific changes during the studied time intervals after death, which can be used to introduce criteria to determine the time since death in practice.

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Biochemical markers of time since death in cerebrospinal fluid: A first step towards“Forensomics”

Cited by 10 publications

References 67 publications

Comparative use of aqueous humour 1H NMR metabolomics and potassium concentration for PMI estimation in an animal model

Comparative use of aqueous humour 1H NMR metabolomics and potassium concentration for PMI estimation in an animal model

Postmortem Interval Estimation: New Approaches by the Analysis of Human Tissues and Microbial Communities’ Changes

Features of morphological changes of the uterus after the death prescription

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