Interaction with prefibrillar species and amyloid-like fibrils changes the stiffness of lipid bilayers

Literature Information

Publication Date 2017-09-27
DOI 10.1039/C7CP05339H
Impact Factor 3.676
Authors

Bruno C. Borro, Lucia Parolini, Pietro Cicuta, Vito Foderà, Lorenzo Di Michele


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Abstract

Evaluating the toxicity of self-assembled protein states is a key step towards developing effective strategies against amyloidogenic pathologies such as Alzheimer's and Parkinson's diseases. Such analysis is directly connected to quantitatively probing the stability of the cellular membrane upon interaction with different protein states. Using a combination of spectroscopic techniques, morphological observations, and spectral analysis of membrane fluctuations, we identify different destabilisation routes for giant unilamellar vesicles interacting with native-like states, prefibrillar species and amyloid-like fibrils of α-lactalbumin. These effects range from substantially lowering the bending rigidity of the membranes to irreversible structural changes and complete disruption of the lipid bilayers. Our findings clearly indicate how the wide heterogeneity in structures occurring during protein aggregation can result in different destabilisation pathways, acting on different length scales and not limited to enhanced membrane permeability.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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