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KMID : 0369820120420010041
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Jorunal of Korean Pharmaceutical Sciences
2012 Volume.42 No. 1 p.41 ~ p.46
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UPLC/Q-TOF MS based metabolomics approach to post-mortem-interval discrimination: mass spectrometry based metabolomics approach
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Kang Yi-Rae
Park Yoon-Soo
Park Yong-Cheon
Yoon Su-Min
Ahn Hee-Jong
Kim Gi-Jeong
Kwon Sung-Won
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Abstract
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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.
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KEYWORD
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Metabolomics, Post-mortem, UPLC/Q-TOF MS
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