Evidence map›Paper›PMID 41009601›Full record

ArticleInternational journal of molecular sciences2025

Lipidomic Profiling of Hyperacute Ischemic Heart Disease and Toxic Deaths: A Forensic Investigation into Metabolic Biomarkers.

Davide Radaelli, Monica Concato, Tommaso Bruscagin, Gianfranco Sinagra, Mariano Stornaiuolo, Stefano D'Errico

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Davide RadaelliDepartment of Medicine, Surgery and Health, University of Trieste, 34149 Trieste, Italy.ORCID 0000-0002-7053-6463
Monica ConcatoDepartment of Medicine, Surgery and Health, University of Trieste, 34149 Trieste, Italy.ORCID 0000-0003-1026-3106
Tommaso BruscaginDepartment of Medicine, Surgery and Health, University of Trieste, 34149 Trieste, Italy.ORCID 0009-0007-6947-8335
Gianfranco SinagraDepartment of Medicine, Surgery and Health, University of Trieste, 34149 Trieste, Italy.ORCID 0000-0003-2700-8478
Mariano StornaiuoloDepartment of Pharmacy, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0003-2200-5083
Stefano D'ErricoDepartment of Medicine, Surgery and Health, University of Trieste, 34149 Trieste, Italy.

Funding

Regione Friuli Venezia Giulia Regional Law 17/2020
6 · The paper itself

Abstract

Sudden cardiac death (SCD) presents diagnostic challenges in distinguishing hyperacute ischemic heart disease (IHD) from drug-related fatalities. This pilot study leverages untargeted lipidomics to identify myocardial lipid biomarkers, analyzing heart tissue from six forensic cases (three hyperacute IHD and three drug deaths) via UHPLC-Q-TOF mass spectrometry. Data preprocessing (normalization, transformation, scaling) and multivariate analyses (PCA, PLS-DA) revealed distinct lipid profiles. Three lipids-PC 16:0_16:2, SM 34:1;3O, and PC O-40:5_C-were significantly upregulated in hyperacute IHD (FDR < 0.05), linked to glycerophospholipid metabolism and autophagy dysregulation. Machine learning models (SVM, random forest) achieved 66.7% accuracy in classifying etiology, with triacylglycerols and sphingomyelins as key discriminators. Toxic deaths showed elevated phosphatidylinositols (e.g., PI 38:4) and hexosylceramides. Despite the limited sample size, this work highlights lipidomic potential to complement traditional autopsies in SCD diagnostics. Findings implicate membrane remodeling and sphingolipid signaling in hyperacute IHD pathogenesis. Future studies with expanded cohorts are crucial to validate biomarkers and elucidate mechanisms.

Indexed as

BiomarkersDeath, Sudden, CardiacLipidomicsMyocardial IschemiaAgedFemaleHumansLipid MetabolismMachine LearningMaleMiddle AgedMyocardiumPilot ProjectsBiomarkersforensic pathologyischemic heart diseaselipidomicmetabolic biomarkerssudden cardiac death

Identifiers

PMID41009601
PMCPMC12469527

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.