Detailed analysis of the energy barriers for amyloid fibril growth.

Solubility is a key requirement for the functioning of a protein within the complex network of cellular components. A class of highly debilitating disorders, including Alzheimer s and Parkinson s diseases, is related to the loss of solubility of peptides and proteins that is accompanied by their aggregation into ordered amyloid fibrils. It has been found that, under at least some physiological conditions, these aggregates are thermodynamically more stable than the native forms of biological polypeptides. This finding raises questions as to the factors governing the crucial ability of native proteins to remain soluble even under conditions where they do not necessarily correspond to global minima on free energy landscapes. In order to address this question, we have studied in detail the kinetics of elongation of amyloid fibrils formed by a wide range of polypeptides. The formation of amyloid fibrils from soluble protein molecules involves at least a primary nucleation step, an elongation step and, in general, a secondary nucleation process such as fibril fragmentation. In addition, multiple interconverting oligomeric intermediates can be involved. Measurements of amyloid growth in bulk solution often reflect all of these processes, and it can therefore be extremely challenging to determine accurately the concentrations of the different species and the rate constants for the individual elementary steps. In order to overcome these difficulties, surface-based sensing techniques, notably those based on quartz crystal microbalance (QCM) measurements, have been developed in recent years, by which the growth of a constant, surfacebound ensemble of fibrils can be monitored. These methods make use of the fact that in the presence of preexisting fibrils, aggregation can be highly accelerated through seeding. This seeding process corresponds to the elongation of existing fibrils and can be well described as diffusional motion over a single free energy barrier, involving no intermediate species between monomeric and fibrillar peptide. The elongation of the fibrils is monitored through the increase in hydrodynamic mass bound to the quartz crystal, as the rate of change of the resonant frequency is proportional to the average elongation rate of the fibrils. The opportunity to image the sensor surface enables an estimation of the surface density of fibrils, an important factor in the determination of the rate constants in this bimolecular reaction, the overall rate of which depends on both the concentration of soluble protein and the number of available fibril ends. In addition, the lengths of the fibrils before and after an experiment can be compared and therefore an independent measurement of the length increase can be made and used to calibrate the frequency response of the microbalance. The covalent irreversible attachment of the preformed fibrils to the sensor surface and the subsequent passivation of the remaining surface, as well as the short duration of individual experiments, ensure that only fibril elongation is measured, and that primary and secondary nucleation events can be neglected; this selectivity is confirmed by the high reproducibility of the data obtained from QCM measurements. The starting point of a systematic study of the energy barriers that separate the soluble from the fibrillar states of a protein is the measurement of the temperature dependence of the fibril elongation rate; such an approach allows for the determination of the enthalpy of activation from an Arrhenius plot. The temperature dependence of amyloid growth has already been measured for a range of amyloidogenic peptides and proteins, and where possible these literature data are included in the analysis described herein. These published data have been acquired with a range of different techniques, mainly involving small-molecule labels such as Thioflavin-T. In such experiments, the exclusive study of the elementary elongation reaction is challenging and therefore the published values on energy barriers may in some cases refer to a combination of different elementary steps. We have, however, used the QCM approach, which is particularly suited for such measurements, to increase substantially the size of the available dataset by studying peptides and proteins of very diverse sequence that form amyloid fibrils under varied solution conditions. Figure 1 shows, as an example, raw QCM data for the temperature dependence of PI3K-SH3 amyloid fibril elongation, as well as AFM images of the QCM sensor surface. Similar experiments were performed for a range of other peptides and proteins, and the resulting Arrhenius plots are shown in Figure 2. No pronounced curvature is apparent, unlike that sometimes observed for protein folding; this [*] A. K. Buell, M. E. Welland Nanoscience Centre, University of Cambridge 11 JJ Thomson Avenue, West Cambridge CB3 0FF (UK) E-mail: mew10@cam.ac. uk