UPLC/Q-TOF MS based metabolomics approach to post-mortem-interval discrimination: Mass spectrometry based metabolomics approach

Yi Rae Kang, Yoon Soo Park, Yong Cheon Park, Su Min Yoon, Hee JongAhn, Gijeong Kim, Sung Won Kwon

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

Metabolomics technology, employed in the analysis of low-molecular endogenous metabolites (e. g., by NMR, LC/MS, GC/MS) and with statistical algorithms, has been applied to the development of new drugs, the diagnosis of diseases, and a variety of other fields. In the present research, certain endogenous metabolite candidates with which, by application of metabolomics to forensic science, post-mortem changes can be inferred were postulated. We combined UPLC/Q-TOF MS-based metabolomics with a statistical analysis to search for metabolite changes related to the post-mortem interval. Metabolites extracted from the livers of rats 0, 24, and 48 h post-sacrifice were analyzed by UPLC/Q-TOF MS. After acquiring the exported UPLC/Q-TOF MS data, PCA, PLS-DA, OPLS-DA and R were applied to identify the significantly up/down regulated metabolites. Comparing the postulated metabolites list with the Human Metabolome Database (HMDB:http://www.hmdb.ca), we could classify samples for post-mortem-interval prediction.

Original languageEnglish (US)
Pages (from-to)41-46
Number of pages6
JournalJournal of Pharmaceutical Investigation
Volume42
Issue number1
DOIs
StatePublished - Feb 2012

Keywords

  • Metabolomics
  • Post-mortem
  • UPLC/Q-TOF MS

ASJC Scopus subject areas

  • Pharmaceutical Science
  • Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

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