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

Autor:	Hee JongAhn, Yoon Soo Park, Yong Cheon Park, Su Min Yoon, Gijeong Kim, Sung Won Kwon, Yi Rae Kang
Rok vydání:	2012
Předmět:	chemistry.chemical_compound Metabolomics Chromatography chemistry Metabolite Pharmaceutical Science Statistical analysis Human Metabolome Database Mass spectrometry Pharmacology Toxicology and Pharmaceutics (miscellaneous) High-performance liquid chromatography Uplc q tof ms Post-mortem interval
Zdroj:	Journal of Pharmaceutical Investigation. 42:41-46
ISSN:	2093-6214 2093-5552
DOI:	10.1007/s40005-012-0006-7
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::886ce99817280e92949b449fe7cb2b91 https://doi.org/10.1007/s40005-012-0006-7 Zobrazit plný text záznamu