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

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

SUBMITTER: Radaelli D 

PROVIDER: S-EPMC12469527 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature