Analytical model and multiscale simulations of Aβ peptide aggregation in lipid membranes: towards a unifying description of conformational transitions, oligomerization and membrane damage
Literature Information
Martina Pannuzzo, Danilo Milardi, Antonio Raudino, Mikko Karttunen, Carmelo La Rosa
The mechanisms underlying the formation of extracellular amyloid plaques on neuronal membranes, a major hallmark of Alzheimer's disease, are the subject of intense debate. Here we use multiscale simulations and analytical theory to unveil the early steps of the spontaneous self-assembly of membrane-embedded α-helical Aβ (1–40) peptides. Based on a simple analytical model describing the electrostatic repulsions among water-exposed charged residues, the presence of distorted structures called “frustrated helices” is predicted. Large scale (20 μs) Coarse Grained simulations of 36 replicas of Aβ (1–40) performed within a POPC lipid matrix confirmed the formation of supramolecular assemblies which resemble a twisted ribbon. Fully atomistic simulations have demonstrated the stability of these helical structures. Concomitant to the formation of these large assemblies, CG simulations evidenced membrane curvature and substantiate the view that these assemblies may entail mechanical stress on membrane structure. We think that these findings provide an alternative view to the traditional models that consider a conformational transition towards β-sheet rich structures as a prerequisite for triggering membrane damage and, eventually, neurotoxicity.
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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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