Model membrane size-dependent amyloidogenesis of Alzheimer's amyloid-β peptides
Literature Information
Misaki Kinoshita, Erina Kakimoto, Yuxi Lin, Masatomo So, Toshihiko Sugiki, Yuji Goto, Young-Ho Lee
We herein report the mechanism of amyloid formation of amyloid-β (Aβ) peptides on small (SUV) and large unilamellar vesicles (LUVs), which consist of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipids. Although Aβ1–42 formed fibrils on SUVs at all POPC concentrations used, the lag time, elongation rate, maximum thioflavin T intensity, and fibrillar morphology were distinct, indicating polymorphic amyloid formation. LUVs, at low POPC concentrations, did not markedly affect fibrillation kinetics; however, increases in POPC concentrations suppressed amyloid formation. No significant differences in the thermal stabilities of Aβ1–42 fibrils formed with and without vesicles were observed, although fibrils formed on SUVs showed some differences with dilution. SUVs markedly promoted Aβ1–40 fibrillation by condensing Aβ1–40, whereas no effects of LUVs on amyloidogenesis were detected. Salts greatly increased Aβ1–40 amyloidogenicity on vesicles. We proposed comprehensive models for vesicle size-dependent Aβ amyloidogenesis. Inhomogeneous packing defects in SUVs may induce distinct nucleation in the polymorphisms of amyloids and decreasing local concentrations of Aβ with higher amounts of LUVs inhibits amyloid formation. We also pointed out that C-terminal hydrophobicity of Aβ is important for amyloidogenesis on membranes.
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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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