ArticleInternational journal of legal medicine2023
Metabolomics investigation of post-mortem human pericardial fluid.
Article in International journal of legal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Advances in postmortem interval estimation: A systematic review of machine learning and metabolomics across various tissue types.Forensic science, medicine, and pathology · 2025Pooled it
- Thanatochemistry and the role of hypoxanthine in the post-mortem interval estimation: a systematic literature review.International journal of legal medicine · 2025Pooled it
- "Omics" and Postmortem Interval Estimation: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- From biochemical markers to machine learning: a review of postmortem interval estimation via vitreous humor analysis.International journal of legal medicine · 2026Review
- Human-to-Rat Validation of PMI Biomarkers: A Bidirectional Cross-Species Metabolomics Study Reveals Asymmetric Translation.Analytical chemistry · 2026Article
- Plasma and pericardial fluid metabolomic signatures of patients with ischemic heart disease.Communications medicine · 2026Article
- PMI estimation throughMetabolomics : Official journal of the Metabolomic Society · 2025Article
- Estimation of postmortem interval under different ambient temperatures based on multi-organ metabolomics and machine learning algorithm.International journal of legal medicine · 2025Article
- Postmortem biochemistry of GFAP, NSE and S100B in cerebrospinal fluid and in vitreous humor for estimation of postmortem interval: a pilot study.Forensic science, medicine, and pathology · 2025Article
- Postmortem metabolomics as a high-throughput cause-of-death screening tool for human death investigations.iScience · 2024Article
- Postmortem metabolomics: influence of time since death on the level of endogenous compounds in human femoral blood. Necessary to be considered in metabolome study planning?Metabolomics : Official journal of the Metabolomic Society · 2024Article
- The Role of Protein Degradation in Estimation Postmortem Interval and Confirmation of Cause of Death in Forensic Pathology: A Literature Review.International journal of molecular sciences · 2024Review
- Effects of temperature, humidity, light, and soil on drug stability in hair: a preliminary study for estimating personal profiles using micro-segmental analysis of corpse hair.Forensic toxicology · 2024Article
- Metabolomics investigation of post-mortem human pericardial fluid.International journal of legal medicine · 2023Article
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Authors and funding
8 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionDue 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.
objectivesWe applied a metabolomic approach based on
methodsPericardial 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 of
resultsThe 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.
conclusionThe 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.
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