Peptide analysis of mammalian decomposition fluid in relation to the post-mortem interval. (June 2020)
- Record Type:
- Journal Article
- Title:
- Peptide analysis of mammalian decomposition fluid in relation to the post-mortem interval. (June 2020)
- Main Title:
- Peptide analysis of mammalian decomposition fluid in relation to the post-mortem interval
- Authors:
- Nolan, Ashley-N'Dene
Maker, Garth
Mead, Robert J.
Bringans, Scott
Speers, Samuel J. - Abstract:
- Highlights: 29 peptides contributed to variance observed in early and late fluid samples. Fold changes for 8 peptides between these periods were significantly different. 8 peptides displayed consistent trends in peak area in summer and winter trials. 7 peptides displayed consistent trends that could be correlated with TBS. Consistent trends emphasises the potential of peptide analysis in PMI estimation. Abstract: We report the results of a semi-quantitative peptide analysis of decomposition fluid under field-based conditions in the absence of a soil matrix. Sixteen domestic pig ( Sus scrofa domesticus ) cadavers were used to model human decomposition in trials conducted in the summer and winter months in Western Australia. Physical characteristics were recorded and targeted peptide components of decomposition fluid were analysed using high performance liquid chromatography-triple quadrupole mass spectrometry. Principal component analysis identified 29 peptides, originating from haemoglobin subunits alpha and beta, creatine kinase, beta-enolase and lactate dehydrogenase, that contributed to differences in the mean peak areas of samples collected during the early period of decomposition (days 6–12 and day 2 in winter and summer, respectively) and during the later period (days 24–34 and days 8–10 in winter and summer, respectively). Fold changes for 8 peptides between these periods were significantly different. Three peptides derived from haemoglobin subunit beta, one fromHighlights: 29 peptides contributed to variance observed in early and late fluid samples. Fold changes for 8 peptides between these periods were significantly different. 8 peptides displayed consistent trends in peak area in summer and winter trials. 7 peptides displayed consistent trends that could be correlated with TBS. Consistent trends emphasises the potential of peptide analysis in PMI estimation. Abstract: We report the results of a semi-quantitative peptide analysis of decomposition fluid under field-based conditions in the absence of a soil matrix. Sixteen domestic pig ( Sus scrofa domesticus ) cadavers were used to model human decomposition in trials conducted in the summer and winter months in Western Australia. Physical characteristics were recorded and targeted peptide components of decomposition fluid were analysed using high performance liquid chromatography-triple quadrupole mass spectrometry. Principal component analysis identified 29 peptides, originating from haemoglobin subunits alpha and beta, creatine kinase, beta-enolase and lactate dehydrogenase, that contributed to differences in the mean peak areas of samples collected during the early period of decomposition (days 6–12 and day 2 in winter and summer, respectively) and during the later period (days 24–34 and days 8–10 in winter and summer, respectively). Fold changes for 8 peptides between these periods were significantly different. Three peptides derived from haemoglobin subunit beta, one from beta-enolase and two from lactate dehydrogenase displayed consistent trends, in that a notable increase in mean peak area was followed by a marked decrease in both the summer and winter samples. When temperature was accounted for, these trends occurred at different time points in summer and winter, indicating that factors other than temperature had impacted the rate of degradation of the proteins involved. The single peptides derived from haemoglobin subunit alpha and creatine kinase displayed consistent increases in mean peak area for the summer samples, suggesting that temperature played the most significant role in their degradation. Further analyses revealed that 7 peptides (one originating from haemoglobin subunit alpha, three from haemoglobin subunit beta and three from lactate dehydrogenase) displayed consistent trends that could be correlated with total body score and with the early stages of decomposition. The consistent trends (mean peak area versus time) for peptides derived from several proteins during decomposition trials conducted under different temperature regimes further emphasised the potential of peptide analysis in time since death estimation. … (more)
- Is Part Of:
- Forensic science international. Volume 311(2020)
- Journal:
- Forensic science international
- Issue:
- Volume 311(2020)
- Issue Display:
- Volume 311, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 311
- Issue:
- 2020
- Issue Sort Value:
- 2020-0311-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-06
- Subjects:
- Decomposition -- Post-mortem interval -- Proteins -- Peptides
Medical jurisprudence -- Periodicals
Chemistry, Forensic -- Periodicals
Forensic Medicine -- Periodicals
Médecine légale -- Périodiques
Chimie légale -- Périodiques
Gerechtelijke geneeskunde
Gerechtelijke chemie
Gerechtelijke psychiatrie
Chemistry, Forensic
Medical jurisprudence
Electronic journals
Periodicals
Electronic journals
614.1 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/03790738 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03790738 ↗
http://www.sciencedirect.com/science/journal/03790738 ↗
http://infotrac.galegroup.com/itw/infomark/1/1/1/purl=rc18_EAIM_0__jn+%22Forensic+Science+International%22?sw_aep=stand ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.forsciint.2020.110269 ↗
- Languages:
- English
- ISSNs:
- 0379-0738
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3987.764000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13487.xml