Literature DB >> 20006340

In vitro stable isotope labeling for discovery of novel metabolites by liquid chromatography-mass spectrometry: Confirmation of gamma-tocopherol metabolism in human A549 cell.

Wen-Chu Yang1, Fred E Regnier, Qing Jiang, Jiri Adamec.   

Abstract

A general approach for discovering novel catabolic metabolites from a parent biocompound was developed and validated on the metabolism of gamma-tocopherol in human A549 cell. The method is based on LC-MS analysis of in vitro stable isotope-labeled metabolites and assumes that a parent compound and its metabolites share a common functional group that can be derivatized by well-documented reagents. In this method, two equal aliquots of extracted metabolites are separately derivatized with isotope-coded (heavy) and non-isotope-coded (light) form of derivatizing reagent, mixed at 1:1 ratio and analyzed using LC-MS. The metabolites with common functional group are then easily recognized by determination of a chromatographically co-eluted pair of isotopomers (MS doublet peaks) with similar peak intensities and mass difference corresponding to the mass difference between heavy and light form of derivatization reagent. The feasibility of this approach was demonstrated and validated by the identification of products of gamma-tocopherol catabolism in human A549 cell culture media using N-methyl-nicotinic acid N-hydroxysuccinimide ester (C1-NANHS) and N-methyl-d3-nicotinic acid N-hydroxysuccinimide ester (C1-d3-NANHS) derivatizing reagent. Overall four gamma-tocopherol metabolites were identified including 9'-COOH, 11'-COOH, 13'-COOH and 13'-OH. In addition, the developed LC-MS method can also be used for the fast and sensitive quantitative analysis of gamma-tocopherol and other forms of vitamin E related compounds. Copyright (c) 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 20006340      PMCID: PMC2813381          DOI: 10.1016/j.chroma.2009.12.002

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  28 in total

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  6 in total

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  6 in total

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