Database-dependent metabolite profiling focused on steroid and fatty acid derivatives using high-temperature gas chromatography-mass spectrometry
- Database-dependent metabolite profiling focused on steroid and fatty acid derivatives using high-temperature gas chromatography-mass spectrometry
- 정현진; 이원용; 유영숙; 정봉철; 최만호
- metabolomics; steroid; fatty acid; eicosanoid; GC-MS; Metabolite profiling
- Issue Date
- Clinica chimica acta
- VOL 411, 818-824
- 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.
- Appears in Collections:
- KIST Publication > Article
- Files in This Item:
There are no files associated with this item.
- RIS (EndNote)
- XLS (Excel)
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.