CADAVERINE AND PUTRESCINE LEVELS IN HUMAN BRAIN TISSUE FOR POSTMORTEM INTERVAL ESTIMATION

Madboly, Abdelmonem G.; Hussein, Asmaa Y. A.; Metwally, Eslam S.

doi:10.21608/ejfsat.2021.51070.1178

CADAVERINE AND PUTRESCINE LEVELS IN HUMAN BRAIN TISSUE FOR POSTMORTEM INTERVAL ESTIMATION

Document Type : Original Article

Authors

¹ Forensic Medicine & Clinical Toxicology Department, Faculty of Medicine, Benha University, Egypt

² Forensic medicine and clinical toxicology department, faculty of medicine, Banha university, Egypt

³ Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Benha University, Egypt

10.21608/ejfsat.2021.51070.1178

Abstract

Background: Estimation of the postmortem interval (PMI) is a pivotal task in forensic investigations. Methods relied on PM biochemical alteration of the compounds such as cadaverine (Cad) and putrescine (Put) can provide more accurate data about the exact PMI. Aim: To investigate the correlation between Cad and Put levels in human brain tissue, measured by gas chromatography-mass spectrometry (GC–MS), and the PMI, to see if they can be used as reliable indicators for PMI estimation. Methodology: Brain specimens were taken during autopsy of three male victims, who died by stab wounds. Autopsy was done within three hours after death (the moment of death was known). The fifteen brain specimens (five from each victim’s brain, according to a fixed time schedule to simulate progressive postmortem intervals), were prepared for injection into the GC–MS and the levels of Cad and Put in the brain tissue specimens were measured. Results: Both Cad and Put levels increased in the brain tissue samples as long as the PMI increased, and there was a statistically highly significant (p <0.0001) linear correlation between both Cad and Put levels and the PMI. The present study designed equations for estimating the PMI based on the determined Cad and Put levels in brain tissues [Cad level = (0.03 + 8.33E-3*timing); Put level = (0.09 + 0.03*timing)]. Conclusion: Both Cad and Put are considered valuable biomarkers for estimating the PMI, however Put as a biomarker of PMI is more accurate than Cad, as 99.5% of the variability of Put levels was due to the progressive timing of sampling, compared to that of Cad, which was only 75.2%.

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