期刊
CLINICA CHIMICA ACTA
卷 411, 期 11-12, 页码 818-824出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cca.2010.02.068
关键词
Metabolite profiling; Steroid; Fatty acid; Eicosanoids; GC-MS
资金
- Korea Institute of Science and Technology (KIST)
- Ministry of Education, Science and Technology (MoEST)
- Korea Science and Engineering Foundation (KOSEF)
Background: 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 steroid-fatty 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. (C) 2010 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据