Effects of membrane interaction and aggregation of amyloid β-peptide on lipid mobility and membrane domain structure
Literature Information
Kenji Sasahara, Kyoko Shinya
Alzheimer's disease (AD) is the most prevalent age-dependent form of dementia, characterized by extracellular amyloid deposits comprising amyloid β-peptide (Aβ) in the cerebral cortex. Increasing evidence has indicated that ganglioside GM1 (GM1) in lipid rafts plays a pivotal role in amyloid deposition of Aβ and the related cytotoxicity in AD. Despite recent efforts to characterize Aβ–lipid interactions, the effect of Aβ aggregation on dynamic properties and organization of lipid membranes is poorly understood. In this study, we examined the aggregation of Aβ on supported lipid bilayers containing raft components (i.e., cholesterol, sphingomyelin, and GM1) and its effects on the membrane properties. We showed that the lateral fluidity of membranes was significantly affected by membrane binding and subsequent aggregation of Aβ. Microscopic observations of the membrane surfaces demonstrated an enhancement in phase separation of lipids as a result of interactions between Aβ and GM1 during induced aggregation of Aβ. The uptake of GM1 into Aβ aggregates and the attendant membrane damage were also observed under a microscope when the membrane-anchored aggregates were formed. On the basis of these observations, we propose that Aβ aggregates formed in the presence of lipid membranes have a latent ability to trigger the uptake of raft components accompanied by phase separation of lipids.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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