Biochemical Changes in Body Fluids After Death

Jetter, Walter W.; McLean, Regina

doi:10.1093/ajcp/13.4.178

Cited by 22 publications

(12 citation statements)

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“…In this study creatinine concentration increased 270 fold. The quantitative difference between this study and the earlier studies (Jetter and McLean 1943;Uemura et al 2008;Zhu et al 2007a) may be due to the source of blood analysed. The earlier researchers used post-mortem human blood from cadavers stored at 4°C where as this study used postmortem rat blood from cadavers stored at 22°C.…”

Section: Discussioncontrasting

confidence: 67%

“…Lactate and creatinine have both been studied previously as possible markers for PMI. Lactate concentration increased in human heart blood 20-fold by 1 h after death and 50-70 fold by 24 h (Jetter and McLean 1943). This study showed that the concentrations of lactate did increase post-mortem, but did not increase 50-70 fold by 24 h. However, the lactate concentrations measured in this study are comparable to the post-mortem concentrations in rat blood measured enzymatically (Donaldson and Lamont 2013b) and are consistent with the occurrence of hypoxia, which prevents the oxidation of lactate to pyruvate.…”

Section: Discussionmentioning

confidence: 98%

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Metabolomics of post-mortem blood: identifying potential markers of post-mortem interval

Donaldson

Lamont

2014

Metabolomics

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Death results in changes in some metabolites in body tissues due to lack of circulating oxygen, altered enzymatic reactions, cellular degradation, and cessation of anabolic production of metabolites and macromolecules. Metabolic changes may provide chemical markers to better determine the time since death (post-mortem interval), something that is challenging to establish with current observation-based methodologies. The aim of this research was to carry out a metabolic analysis of blood plasma postmortem, in order to gain a more complete understanding of the biochemical changes that occur following death. Gas chromatography was used to conduct a survey of post-mortem rat blood. Sixty six metabolites were detected post-mortem. Twenty six of these [18 amino acids, glutathione (GSH), 4-Amino-n-butyric acid (GABA), glyoxylate, oxalate, hydroxyproline, creatinine, a-ketoglutarate and succinate] had increased concentrations post-mortem. The remaining 40 metabolites had concentrations that were not dependant on time. This study demonstrates the range of metabolic changes that occur post-mortem as well as identifying potential markers for estimating post-mortem interval.

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Section: Discussioncontrasting

confidence: 67%

Section: Discussionmentioning

confidence: 98%

Metabolomics of post-mortem blood: identifying potential markers of post-mortem interval

Donaldson

Lamont

2014

Metabolomics

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“…Unlike the proteins, free amino acids, and fatty acids, this was a typical result of autolysis-induced diffusion combined with postmortem metabolism. This result was supported in part by a previous finding that the lactate concentration in the plasma increased significantly after death [ 23 , 64 – 66 ]. The intensities of almost all the other bands in GA-selected regions changed to the levels of the corresponding ones in the spectrum of 0-h formed elements, and their variations could be explained by the phenomenon of postmortem decomposition.…”

Section: Resultssupporting

confidence: 76%

UV–Vis and ATR–FTIR spectroscopic investigations of postmortem interval based on the changes in rabbit plasma

Wang

Bing

et al. 2017

PLoS ONE

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Estimating PMI is of great importance in forensic investigations. Although many methods are used to estimate the PMI, a few investigations focus on the postmortem redistribution. In this study, ultraviolet–visible (UV–Vis) measurement combined with visual inspection indicated a regular diffusion of hemoglobin into plasma after death showing the redistribution of postmortem components in blood. Thereafter, attenuated total reflection–Fourier transform infrared (ATR–FTIR) spectroscopy was used to confirm the variations caused by this phenomenon. First, full-spectrum partial least-squares (PLS) and genetic algorithm combined with PLS (GA-PLS) models were constructed to predict the PMI. The performance of GA-PLS model was better than that of full-spectrum PLS model based on its root mean square error (RMSE) of cross-validation of 3.46 h (R2 = 0.95) and the RMSE of prediction of 3.46 h (R2 = 0.94). The investigation on the similarity of spectra between blood plasma and formed elements also supported the role of redistribution of components in spectral changes in postmortem plasma. These results demonstrated that ATR-FTIR spectroscopy coupled with the advanced mathematical methods could serve as a convenient and reliable tool to study the redistribution of postmortem components and estimate the PMI.

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“…Some proteins and metabolites have symbols indicating whether concentration is increased (↑), decreased (↓) or remains the same (=) postmortem, as the literature did not specify the concentration, just stated whether it had changed. Data taken from (Coe, 1974(Coe, , 1993Jetter, 1959;Jetter & McLean, 1943;Penttila & Laiho, 1981;Saugstad, 1975;Schleyer, 1963;Spitz, 2006). Table 1-2: Early post-mortem blood proteins and metabolites.…”

Section: Proteins Metabolites/hormonesmentioning

confidence: 99%

“…Markers such as lactate, glucose and acid phosphastase show very marked changes. Lactate increased from 0.5-2.5 mmol.L -1 to 50-60 mmol.L -1 within the first 24 hours after death (Jetter & McLean, 1943). Glucose increased from 4-8 mmol.L -1 to an average of 27.8 mmol.L -1 in non-diabetic persons within the first 24 hours after death (Coe, 1974).…”

mentioning

confidence: 94%