ArticleiScience2024
Postmortem metabolomics as a high-throughput cause-of-death screening tool for human death investigations.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Postmortem metabolomics as a window into the agonal phase of death: a comparison between opioid intoxications and hangings.International journal of legal medicine · 2026Article
- Leveraging the Metabolic Fingerprint of Sleep Deprivation and Sleep Restriction for Forensic Applications: A Machine Learning Study in Oral Fluid Metabolomics.Journal of proteome research · 2026Article
- Human-to-Rat Validation of PMI Biomarkers: A Bidirectional Cross-Species Metabolomics Study Reveals Asymmetric Translation.Analytical chemistry · 2026Article
- Detecting and subtyping ketoacidosis from metabolomic patterns in forensic casework.Scientific reports · 2026Article
- LCMS-Net: Deep Learning for Raw High Resolution Mass Spectrometry Data Applied to Forensic Cause-of-Death Screening.Analytical chemistry · 2026Article
- The human metabolome and machine learning improves predictions of the post-mortem interval.Nature communications · 2026Article
- Post-Mortem Biomarkers in Sudden Cardiac Death: From Classical Biochemistry to Molecular Autopsy and Multi-Omics Forensic Approaches.International journal of molecular sciences · 2026Review
- Comparison of human metabolome changes identified in a placebo-controlled amphetamine administration study versus those using forensic toxicology routine data.Scientific reports · 2026Article
- Article
- Targeted metabolomics of postmortem human cardiac tissue using the Biocrates MxP Quant 500 kit.PloS one · 2026Article
- Exploring transcriptomic signatures in sudden unexplained death (SUD) cases.International journal of legal medicine · 2025Article
- Time-dependent changes in genome-wide gene expression and post-transcriptional regulation across the post-death process in silkworm.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autopsy rates are declining globally, impacting cause-of-death (CoD) diagnoses and quality control. Postmortem metabolomics was evaluated for CoD screening using 4,282 human cases, encompassing CoD groups: acidosis, drug intoxication, hanging, ischemic heart disease (IHD), and pneumonia. Cases were split 3:1 into training and test sets. High-resolution mass spectrometry data from femoral blood were analyzed via orthogonal-partial least squares discriminant analysis (OPLS-DA) to discriminate CoD groups. OPLS-DA achieved an R2 = 0.52 and Q2 = 0.30, with true-positive prediction rates of 68% and 65% for training and test sets, respectively, across all groups. Specificity-optimized thresholds predicted 56% of test cases with a unique CoD, average 45% sensitivity, and average 96% specificity. Prediction accuracies varied: 98.7% for acidosis, 80.5% for drug intoxication, 81.6% for hanging, 73.1% for IHD, and 93.6% for pneumonia. This study demonstrates the potential of large-scale postmortem metabolomics for CoD screening, offering high specificity and enhancing throughput and decision-making in human death investigations.
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