TY - JOUR
T1 - UPLC/Q-TOF MS based metabolomics approach to post-mortem-interval discrimination
T2 - Mass spectrometry based metabolomics approach
AU - Kang, Yi Rae
AU - Park, Yoon Soo
AU - Park, Yong Cheon
AU - Yoon, Su Min
AU - JongAhn, Hee
AU - Kim, Gijeong
AU - Kwon, Sung Won
PY - 2012/2
Y1 - 2012/2
N2 - 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.
AB - 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.
KW - Metabolomics
KW - Post-mortem
KW - UPLC/Q-TOF MS
UR - http://www.scopus.com/inward/record.url?scp=84870326717&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870326717&partnerID=8YFLogxK
U2 - 10.1007/s40005-012-0006-7
DO - 10.1007/s40005-012-0006-7
M3 - Article
AN - SCOPUS:84870326717
SN - 2093-5552
VL - 42
SP - 41
EP - 46
JO - Journal of Pharmaceutical Investigation
JF - Journal of Pharmaceutical Investigation
IS - 1
ER -