Ultra-early post-mortem interval (PMI) estimation based on longitudinal plasma protein dynamics in humans: A pilot study
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Le résumé fourni par la source
Accurate estimation of the post-mortem interval (PMI) during the earliest phase after death remains one of the most problematic tasks in forensic pathology. Traditional tanatological methods show limited reliability within the first hours after death due to marked inter-individual variability and strong dependence on environmental and physiological factors. Increasing attention has therefore been directed toward molecular approaches capable of capturing the biological processes occurring immediately after death. In this context, blood represents a promising but still insufficiently explored matrix for ultra-early PMI estimation. A prospective longitudinal pilot study was conducted on ten adult patients who died from natural causes at Intensive Care Unit of Magna Graecia University of Catanzaro under controlled conditions. Peripheral venous blood samples were collected from upper limb veins (primarily antecubital veins) using standard sterile techniques at precisely defined post-mortem time points ranging from death certification to 120 minutes after death. Plasma concentrations of twelve candidate proteins involved in apoptosis, mitochondrial metabolism, cellular stress response, cytoskeletal integrity and tissue injury were quantified using sandwich ELISA assays. Longitudinal data were analyzed using linear mixed-effects models, complemented by non-parametric correlation analyses and exploratory multivariate approaches. Several biomarkers exhibited reproducible and statistically significant time-dependent plasma concentration changes within the first two hours after death. Caspase-9 and pyruvate dehydrogenase E1 showed early peaks followed by progressive declines, consistent with rapid apoptotic activation and metabolic collapse. Structural proteins such as β-actin and myosin indicated concordant kinetic patterns, while Hsp70 displayed an early decrease. Cardiac injury markers showed more complex temporal dynamics, whereas LDH and Bcl-2 did not show consistent associations with post-mortem time. Combined proteomic profiles allowed exploratory discrimination between ultra-early and early PMI intervals. These findings provide preliminary original human evidence supporting the forensic potential of plasma-based multiparametric biomarker approaches for ultra-early PMI estimation and suggest that molecular data may meaningfully complement traditional methods during the most challenging post-mortem phase , although further large-scale studies are required to confirm these preliminary results . Overview of study design, plasma biomarker kinetics and forensic interpretation during the ultra-early post-mortem interval. • Human plasma proteins show rapid changes within the first 2 hours after death • Apoptotic and mitochondrial biomarkers are sensitive to the ultra-early PMI • PDHE1 and Caspase-9 display reproducible time-dependent post-mortem dynamics • Structural and cardiac markers show distinct early post-mortem kinetic patterns • Multiparametric plasma profiles can potentially discriminate ultra-early from early PMI intervals
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Ultra-early post-mortem interval (PMI) estimation based on longitudinal plasma protein dynamics in humans: A pilot study
- Date Crossref
- 01/09/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Magna Graecia University pays non établi dans la noticeUniversité ou école supérieure
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Humanitas University pays non établi dans la noticeUniversité ou école supérieure
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University of Calabria Department of Pharmacy pays non établi dans la noticeUniversité ou école supérieure
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"Magna Graecia" University Institute of Legal Medicine pays non établi dans la noticeUniversité ou école supérieure
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"Magna Græcia" University Department of Medical and Surgical Sciences pays non établi dans la noticeUniversité ou école supérieure
Magna Graecia University, Humanitas University et Department of Pharmacy — University of Calabria, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.