Suppr超能文献

Lipids in blood-brain barrier models in vitro I: Thin-layer chromatography and high-performance liquid chromatography for the analysis of lipid classes and long-chain polyunsaturated fatty acids.

作者信息

Krämer Stefanie D, Hurley Johannah A, Abbott N Joan, Begley David J

机构信息

Centre for Neuroscience Research, GKT School of Biomedical Sciences, King's College London, London, United Kingdom SE1 1UL.

出版信息

In Vitro Cell Dev Biol Anim. 2002 Nov-Dec;38(10):557-65. doi: 10.1290/1543-706x(2002)38<557:libbmi>2.0.co;2.

Abstract

The objectives of this study were to optimize a sensitive high-performance liquid chromatography (HPLC) method for fatty acid (FA) analysis for the quantification of polyunsaturated FAs (PUFAs) in cell lipid extracts and to analyze the lipid and FA patterns of three cell lines used in blood-brain barrier (BBB) models: RBE4, ECV304, and C6. Thin-layer chromatographic analysis revealed differences in the phosphatidylcholine-phosphatidylethanolamine (PC:PE) ratios and the triglyceride (TG) content. The PC:PE ratio was <1 for RBE4 cells but >1 for ECV304 and C6 cells. ECV304 cells displayed up to 9% TG depending on culture time, whereas the other cell lines contained about 1% TG. The percentages of docosahexaenoic acid were 9.4 +/- 1.7% of the unsaturated FAs in RBE4 cells (n = 5; 4 d in culture; 9.9% after 10 d), 8.1 +/- 2.0% in ECV304 cells (n = 11; 10 to 14 d), and 6.7 +/- 0.6% in C6 cells (n = 6; 10 to 14 d) and were close to the published values for rat brain microvascular endothelium. The percentage of arachidonic acid (C20:4) was about half that in vivo. ECV304 cells contained the highest fraction of C20:4, 17.8 +/- 2.2%; RBE4 cells contained 11.6 +/- 2.4%; and C6 cells 15.8 +/- 1.9%. It is concluded that a sensitive HPLC method for FAs is now optimized for the analysis of long-chain PUFAs. The results provide a useful framework for studies on the effects of lipid modulation and give reference information for the development of further BBB models.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验