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Differential sensing for the regio- and stereoselective identification and quantitation of glycerides

Author:
Diehl, Katharine L., Ivy, Michelle Adams, Rabidoux, Scott, Petry, Stefan Matthias, Müüller, Günter, Anslyn, Eric V.
Source:
Proceedings of the National Academy of Sciences of the United States of America 2015 v.112 no.30 pp. E3977
ISSN:
0027-8424
Subject:
acylglycerols, algorithms, animal fats and oils, lipid metabolism, mass spectrometry, noninsulin-dependent diabetes mellitus, obesity, olefin, proteins, researchers, stereochemistry, stereoisomers
Abstract:
Lipid metabolism is a growing area of biochemical research because understanding these pathways could lead to treatments for metabolic disorders such as obesity and type 2 diabetes. To study lipid metabolism, researchers need tools to identify and quantitate glycerides, the main component of animal fat. However, it can be difficult to tell one glyceride apart from another subtly different glyceride using current analytical methods such as mass spectrometry. Thus, we developed a method of discriminating glycerides using an array of cross-reactive proteins in conjunction with pattern recognition algorithms. By incorporating an olefin metathesis pretreatment step, we were able to distinguish glyceride regio- and stereoisomers and to predict these structural features. Finally, we achieved quantitation of glycerides in mixtures.
Agid:
3387303