Lipid Dynamics and Phase Transition within α-Synuclein Amyloid Fibrils
Céline Galvagnion1,2, Daniel Topgaard3, Katarzyna Makasewicz3
1Centre for Misfolding Diseases, Department of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , United Kingdom.
Parkinson's disease involves brain coassemblies of alpha-synuclein protein and lipids. This study reveals these coassemblies form thin, curly amyloid fibrils, altering lipid properties and offering insights into disease mechanisms.
Area of Science:
- Neuroscience
- Biochemistry
- Structural Biology
Background:
- Parkinson's disease (PD) is characterized by protein-lipid coassemblies in the brain.
- Alpha-synuclein (α-synuclein) is a key protein implicated in PD pathogenesis.
- Understanding the structure and properties of these coassemblies is crucial for PD research.
Purpose of the Study:
- To characterize the amyloid fibrils formed by α-synuclein coassembled with specific lipids.
- To investigate the impact of α-synuclein coassembly on lipid properties.
- To gain insights into the molecular basis of protein-lipid interactions in PD.
Main Methods:
- Natural abundance 13C and 31P magic-angle spinning nuclear magnetic resonance (MAS NMR) spectroscopy.
- Cryo-electron microscopy (cryo-EM).
- Differential scanning calorimetry (DSC).
Main Results:
- α-synuclein and lipids (1,2-dimyristoyl-sn-glycero-3-phospho-L-serine or 1,2-dilauroyl-sn-glycero-3-phospho-L-serine) coassemble into thin, curly amyloid fibrils.
- Lipid molecular segments exhibit slower and more isotropic reorientation within the fibrils.
- Lipid chain-melting temperature and enthalpy decrease compared to protein-free lipid phases.
Conclusions:
- Lipid-protein coassembly significantly alters lipid dynamics and phase behavior.
- These findings provide novel insights into the structural and dynamic properties of lipids within pathological assemblies relevant to Parkinson's disease.
- The study highlights the importance of considering lipid properties in the context of α-synuclein aggregation and PD.
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