Monitoring of post-mortem changes of saliva N-glycosylation by nano LC/MS View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-11-21

AUTHORS

Bum Jin Kim, Chanyoung Han, Hantae Moon, Joseph Kwon, Ik-Soon Jang, Si-Keun Lim, Ki-Won Park, Jong-Soon Choi, Hyun Joo An

ABSTRACT

The estimation of post-mortem interval (PMI) is a crucial part for investigations of crime and untimely deaths in forensic science. However, standard methods of PMI estimation are easily confounded by extenuating circumstances and/or environmental factors. Therefore, a panel of PMI markers obtained from a more acceptable and accurate method is necessary to definitely determine time of death. Saliva, one of the vital fluids encountered at crime scenes, contains various glycoproteins that are highly affected by biochemical environment. Here, we investigated saliva N-glycans between live and dead rats to determine the alteration of N-glycans using an animal model system because of the limitation of saliva collection from recently deceased humans. Rat saliva samples were collected both before and after death. N-Glycans were enzymatically released by PNGase F without any glycoprotein extraction. Released native glycans were purified and enriched by PGC-SPE. About 100 N-glycans were identified, profiled, and structurally elucidated by nano LC/MS and tandem MS. Sialylated N-glycans were exclusively present in abundance in live rat saliva whereas non-sialylated N-glycans including LacdiNAc disaccharides were detected in high level following death. Through in-depth investigations using quantitative comparison and statistical analysis, 14 N-glycans that significantly changed after death were identified as the potential marker candidates for PMI estimation. To the best of our knowledge, this is the first study to monitor the post-mortem changes of saliva glycosylation, with obvious forensic applications. More... »

PAGES

45-56

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00216-017-0702-2

DOI

http://dx.doi.org/10.1007/s00216-017-0702-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092807916

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29164281


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