Thermodynamic characterization of amyloid polymorphism by Taylor dispersion analysis

05 October 2023, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Amyloid fibrils of proteins such as α-synuclein are a hallmark of neurodegenerative diseases and much research has focused on their kinetics and mechanisms of formation. The question as to the thermodynamic stability of such structures has received much less attention. Here, we present a novel experimental method to quantify amyloid fibril stability based on chemical depolymerisation and Taylor dispersion analysis. The relative concentrations of fibrils and monomer at equilibrium are determined through an in situ separation of these species through Taylor dispersion in laminar flow inside a microfluidic capillary. This method is highly sample economical, using much less than a microliter of sample per data point and its only requirement is the presence of aromatic residues because of its label-free nature. Using this method, we investigate the differences in thermodynamic stability between different fibril polymorphs of α-synuclein and quantify these differences for the first time. Importantly, we show that fibril formation can be under kinetic or thermodynamic control and that a change in solution conditions can both stabilise and destabilise amyloid fibrils. Taken together, our results establish the thermodynamic stability as a well-defined and key parameter that can contribute towards a better understanding of the physiological roles of amyloid fibril polymorphism.

Keywords

thermodynamic stability
amyloid fibrils
Taylor dispersion
Amyloid polymorphism

Supplementary materials

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Supplementary information (SI)
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The supplementary information file contains extra figures and tables that are referred to in the main text.
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Python code for globally fitting of the FIDA data to isodesmic model
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This code first fits FIDA data curves (as input; *.txt) for a series of fibril urea denaturations with a Gaussian and an asymmetric distribution function. The fit accordingly uses the monomeric species area to calculate the delta G according to the isodesmic model.
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Supplementary video. COMSOL simulation of diffusive (D) and non-diffusive (ND) particles in FIDA
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A small plug is pushed by the flow (1500 mbar) in a capillary with 1m length and 75 µm width. The non-diffusive particles (ND; green) move faster with the maximum speed of the flow, while the diffusive particles (D; blue) move slower with the average speed of the flow. The plot in the right panel shows the intensity of the particles in the detector window that is placed at 84 cm from the start.
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