The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Biochemistry Changes That Occur after Death: Potential Markers for Determining Post-Mortem Interval
Open accessAbstract
Death is likely to result in very extensive biochemical changes in all body tissues due to lack of circulating oxygen, altered enzymatic reactions, cellular degradation, and cessation of anabolic production of metabolites. These biochemical changes may provide chemical markers for helping to more accurately determine the time since death (post-mortem interval), which is challenging to establish with current observation-based methodologies. In this study blood pH and changes in concentration of six metabolites (lactic acid, hypoxanthine, uric acid, ammonia, NADH and formic acid) were examined post-mortem over a 96 hour period in blood taken from animal corpses (rat and pig) and blood from rats and humans stored in vitro. The pH and the concentration of all six metabolites changed post-mortem but the extent and rate of change varied. Blood pH in corpses fell from 7.4 to 5.1. Concentrations of hypoxanthine, ammonia, NADH and formic acid all increased with time and these metabolites may be potential markers for post-mortem interval. The concentration of lactate increased and then remained at an elevated level and changes in the concentration were different in the rat compared to the human and pig. This is the first systematic study of multiple metabolic changes post-mortem and demonstrates the nature and extent of the changes that occur, in addition to identifying potential markers for estimating post-mortem interval.
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(1975) · Journal of AOAC INTERNATIONAL · doi:10.1093/jaoac/58.5.1085 · Cited by 19,795
Cell–cell and intracellular lactate shuttles
Brooks, G. A. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.178350 · Cited by 799
High plasma uric acid concentration: causes and consequences
de Oliveira, E. P., & Burini, R. C. (2012) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-4-12 · Cited by 501
Saugstad, O. D. (1988) · Pediatric Research · doi:10.1203/00006450-198802000-00001 · Cited by 416
Alvarez-Lario, B., & Macarron-Vicente, J. (2010) · Rheumatology · doi:10.1093/rheumatology/keq204 · Cited by 391
Altered Uric Acid Levels and Disease States
Kutzing, M. K., & Firestein, B. L. (2008) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.107.129031 · Cited by 374
The species distribution of xanthine oxidase
Al-Khalidi, U., & Chaglassian, T. (1965) · Biochemical Journal · doi:10.1042/bj0970318 · Cited by 271
Hypoxanthine as a Measurement of Hypoxia
Saugstad, O. D. (1975) · Pediatric Research · doi:10.1203/00006450-197504000-00002 · Cited by 217
Spectrophotometric assay for d-(−)-lactate in plasma
Brandt, R. B., Siegel, S. A., Waters, M. G., & Bloch, M. H. (1980) · Analytical Biochemistry · doi:10.1016/0003-2697(80)90314-0 · Cited by 172
Metabolome Analysis: An Introduction
Villas-Bôas, S. G., Roessner, U., Hansen, M. A. E., Smedsgaard, J., & Nielsen, J. (2007) · Cited by 153
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Metadata
- Authors
- Donaldson, A. E., & Lamont, I. L.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-11-21
- Volume
- 8
- Issue
- 11
- Pages
- e82011
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2006873905
- Cited by
- 254
- References
- 17
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- gold
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