Dynamic fluorescence imaging analysis to investigate the cholesterol recruitment in lipid monolayer during the interaction between β-amyloid (1-40) and lipid monolayers

Ming Shen Lin, Xing Bei Chen, Steven S.S. Wang, Yung Chang, Wen Yih Chen

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Extracellular β-amyloid (Aβ) deposit is considered as one of the primary factors in inducing Alzheimer's disease (AD). However, the mechanism of Aβ deposition on the cell membrane and the induced cytotoxicity are still unclear. On the basis of the previous reports and results, we propose the "Recruiting Hypothesis" on the interaction between the plasma membrane and Aβ. Recently, many studies focused on cholesterol, which is considered as an important factor for AD. The most challenging issue in studying the cholesterol is non-ideal mixing behavior and non-dynamic analysis. In the present study, we investigated the cholesterol recruitment in the lipid monolayer during the interaction between β-amyloid peptides Aβ (1-40) and lipid monolayers by dynamic fluorescent imaging analysis. Results from lipid monolayer trough studies showed that the rate of Aβ adsorption onto lipid monolayer is mainly due to the electrostatic effect which is sensitive to the lipid monolayer composition. From the fluorescence imaging analysis, the interaction of Aβ with lipid monolayer containing negative charge lipid and cholesterol brings out the recruiting behavior of the cholesterol and reduces the fluidity of lipid. The present study not only demonstrates the technical application for monitoring the dynamic molecular behaviors at the interface but also reveals the roles to distinguish lipid molecules on the Aβ-membrane interaction.

Original languageEnglish
Pages (from-to)59-66
Number of pages8
JournalColloids and Surfaces B: Biointerfaces
Volume74
Issue number1
DOIs
StatePublished - 1 Nov 2009

Keywords

  • β-Amyloid
  • Alzheimer's disease
  • Fluorescence imaging analysis
  • Lipid monolayer
  • Recruiting hypothesis

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