Database-dependent metabolite profiling focused on steroid and fatty acid derivatives using high-temperature gas chromatography-mass spectrometry

Title
Database-dependent metabolite profiling focused on steroid and fatty acid derivatives using high-temperature gas chromatography-mass spectrometry
Authors
정현진이원용유영숙정봉철최만호
Keywords
metabolomics; steroid; fatty acid; eicosanoid; GC-MS; Metabolite profiling
Issue Date
2010-05
Publisher
Clinica chimica acta
Citation
VOL 411, 818-824
Abstract
A database-dependent gas chromatography–mass spectrometry (GC–MS) based approach was developed for non-targeted metabolite profiling, focusing on 232 steroids, 24 fatty acids, 10 eicosanoids, 10 cannabinoids and 22 steroid-fatty acid esters in biological specimens. Methods: This method, used to search for potent biomarkers in lipid metabolism, included MS based analysis combined with high-temperature gas chromatographic (HTGC) separation of biological metabolites, statistical clustering and an in-house database (DB) searching. Results: The HTGC technique showed better detectability of high lipophilic compounds, particularly steroidfatty acid esters, which generally have poor chromatographic properties on a conventional GC column. The in-house DB search consisted of the retention index and mass spectrum corresponding to each compound selected. The method was applied to tissue samples obtained from cardiac hypertrophy-induced mice. Increased levels of palmitic, linoleic, oleic, and stearic acids and cholesterol were detected and identified. Conclusions: This data-dependent non-targeted metabolite profiling technique could be more effective in biomarker studies associated with the steroid and lipid metabolism than commercially available DBs.
URI
http://pubs.kist.re.kr/handle/201004/37279
ISSN
0009-8981
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KIST Publication > Article
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