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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?
Steuer, Andrea E; Wartmann, Yannick; Schellenberg, Rena; Mantinieks, Dylan; Glowacki, Linda L; Gerostamoulos, Dimitri; Kraemer, Thomas; Brockbals, Lana.
Afiliação
  • Steuer AE; Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland. andrea.steuer@irm.uzh.ch.
  • Wartmann Y; Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland.
  • Schellenberg R; Department of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland.
  • Mantinieks D; Department of Forensic Medicine, Monash University, Victoria, Australia.
  • Glowacki LL; Victorian Institute of Forensic Medicine, Victoria, Australia.
  • Gerostamoulos D; Victorian Institute of Forensic Medicine, Victoria, Australia.
  • Kraemer T; Department of Forensic Medicine, Monash University, Victoria, Australia.
  • Brockbals L; Victorian Institute of Forensic Medicine, Victoria, Australia.
Metabolomics ; 20(3): 51, 2024 May 09.
Article em En | MEDLINE | ID: mdl-38722380
ABSTRACT

INTRODUCTION:

The (un)targeted analysis of endogenous compounds has gained interest in the field of forensic postmortem investigations. The blood metabolome is influenced by many factors, and postmortem specimens are considered particularly challenging due to unpredictable decomposition processes.

OBJECTIVES:

This study aimed to systematically investigate the influence of the time since death on endogenous compounds and its relevance in designing postmortem metabolome studies.

METHODS:

Femoral blood samples of 427 authentic postmortem cases, were collected at two time points after death (854 samples in total; t1 admission to the institute, 1.3-290 h; t2 autopsy, 11-478 h; median ∆t = 71 h). All samples were analyzed using an untargeted metabolome approach, and peak areas were determined for 38 compounds (acylcarnitines, amino acids, phospholipids, and others). Differences between t2 and t1 were assessed by Wilcoxon signed-ranked test (p < 0.05). Moreover, all samples (n = 854) were binned into time groups (6 h, 12 h, or 24 h intervals) and compared by Kruskal-Wallis/Dunn's multiple comparison tests (p < 0.05 each) to investigate the effect of the estimated time since death.

RESULTS:

Except for serine, threonine, and PC 341, all tested analytes revealed statistically significant changes between t1 and t2 (highest median increase 166%). Unpaired analysis of all 854 blood samples in-between groups indicated similar results. Significant differences were typically observed between blood samples collected within the first and later than 48 h after death, respectively.

CONCLUSIONS:

To improve the consistency of comprehensive data evaluation in postmortem metabolome studies, it seems advisable to only include specimens collected within the first 2 days after death.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudanças Depois da Morte / Metaboloma / Metabolômica Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Metabolomics Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudanças Depois da Morte / Metaboloma / Metabolômica Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Metabolomics Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça