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* Cambridge University, Cambridge, United Kingdom; and
Wageningen University, Wageningen, The Netherlands
Correspondence: Address reprint requests to A. M. Donald, E-mail: amd3{at}cam.ac.uk.
| ABSTRACT |
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| INTRODUCTION |
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Amyloid fibrils have been found to be based on a common structure, consisting of continuous intermolecular ß-sheets which run along the fibril axis, such that the individual ß-strands are perpendicular to the fibril axis (2
). This common structural motif, based only on the peptide backbone, as well as the observation that a wide variety of proteins forms these fibrils, suggests that amyloid fibrils are a generic form of protein assembly structure (3
). The fibrils tend to be long (>1 µm) and unbranched, with diameters typically between 6 and 12 nm (4
).
In the different amyloid diseases, the fibrils are deposited in various forms. In a form identified in Alzheimer's disease and Downs' syndrome, they are found in birefringent spherical plaques (5
). The birefringence of the plaques shows that the material of which they are composed is anisotropic, and ordered in a spherically symmetric way. In some diseases, amyloid deposits occur in vast quantities but it is still generally unknown what role, if any, the fibrils and plaques may have in each disease.
Large spherical ordered assemblies of amyloid fibrils have been observed in several other systems in vivo and in vitro (6
20
), and are described by various names. Here we term them spherulites, by analogy to the similar, ordered structures formed by crystallizing polymers (21
23
).
Bovine insulin is a small protein whose ability to form fibrillar structures and spherulites has been known for almost 60 years (7
). The fibrils are characterized by the same features as other amyloid fibrils (24
,25
). Some details of the molecular structure have been determined, using data from cryoelectron microscopy (26
). Each fibril contains a number of protofilaments twisted together, each protofilament being a linear chain of insulin molecules (26
). The spherulites have been found to be structurally similar to the wide range of amyloid spherulite structures described above (6
,27
,28
).
Krebs et al. (6
,27
) suggested that the spherulites are composed of amyloid fibrils that grow outwards from a core, which may be a protein aggregate without amyloid structure. Spherulite cores could be observed that were in contrast with the surrounding material because of their lack of directional order and lack of affinity to amyloid-specific dyes (6
). Comparing the onset of spherulite formation and the formation of fibrils dispersed in the solution led to evidence that the growing spherulites do not assemble from the dispersed fibrils, but more likely from a small precursor specieseither insulin monomers or small oligomers in solution. Therefore, assembly of proteins into spherulites may proceed along a separate (though not necessarily dissimilar) pathway to assembly of proteins into dispersed fibrils. Insulin spherulites are formed in large quantities in solutions of bovine insulin, at pH 2 or lower, while under prolonged heating at temperatures of 65°C or higher. Under these conditions, a high proportion (
9095%) of insulin is converted to spherulites and dispersed fibrils, with the remainder in the form of insulin monomers or small oligomers (6
). Therefore, it seems that the reaction of insulin to form spherulites and fibrils is limited by depletion of the precursor.
In this article, we observe bovine insulin spherulites forming on cell surfaces using differential interference contrast (DIC) contrast optical microscopy. The resulting timelapse video images are used to track the growth of individual spherulites with time, in various conditions. These measurements of growth are complemented with other images and measurements to provide insights into the structure, formation mechanism, and growth kinetics of the spherulites. We propose a growth model, limited by the rates of fibril elongation and precursor diffusion to account for our measurements. Seeding of native insulin solutions with preformed spherulites and other nucleation effects are also observed.
| EXPERIMENTAL PROCEDURES |
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Polystyrene-coated surfaces were also used for some experiments: a cavity slide and coverslip were solution-coated with polystyrene by dipping in a polystyrene/toluene solution and allowing to dry.
Optical microscopy of spherulite formation
Each sample was placed on a Linkam hot-stage set to temperatures of 6575°C under a Zeiss Axioplan optical microscope (Carl Zeiss, Welwyn Garden City, UK) in DIC mode, at 100x magnification. The microscope was focused on the lower surface of the cell to view the spherulites which form immobilized on the surface. Digital images were taken, and timelapse videos composed. Distances in the image plane were calibrated by imaging a 100-µm scale bar, resulting in a resolution of 1.295 µm/pixel.
Measurement of spherulite sizes
Since most spherulites have an approximately circular shape on the micrographs, a radius of each could be measured. Spherulites which were out-of-focus or deviated significantly from a circular shape, especially where two or more spherulites were joined together, were excluded. For each spherulite, the radius was measured from a manually chosen center, to the outside edge, defined by its sharp increase in brightness on the DIC images. A MatLab (The MathWorks, Natick, MA) script was written to find this edge. Due to the irregularities in the shape of the spherulites, a typical radial error of ±5 µm is estimated.
Laser scanning confocal microscopy
Confocal microscopy allowed vertical cross-sectional images to be made of spherulites bound to a surface. A Zeiss LSM510 confocal microscope was used (Carl Zeiss). A coverslip coated with insulin spherulites was submerged in a solution of the amyloid-specific dye, thioflavin-T, of concentration 0.1 mg/ml at pH 1.5, and sealed with a cavity slide. An optical magnification of 500x and pinhole size of 50 µm were used. The dye was excited with the 458-nm line of an Argon ion laser. By scanning through the spherulite in three dimensions, cross-sections of the spherulite could be captured.
Seeding of insulin solutions with preformed spherulites
An insulin solution of concentration 5.0 mg/ml at pH 1.5 was prepared as in Sample Preparation, above, and heated at 70°C in an Eppendorf tube for 2 h, forming many unattached spherulites. These spherulites were rinsed as follows: a small amount (200 µl) of the solution containing spherulites was transferred to a dilute HCl solution at pH 1.5 (1 ml), stirred and mildly centrifuged to sediment the spherulites. The excess HCl solution was decanted and replaced with a fresh pH 1.5 HCl solution.
Ten-microliter aliquots of the rinsed spherulite solution, containing small numbers of preformed spherulites, were added to fresh solutions of insulin of variable concentration 0.25.0 mg/ml, at pH 1.5, in cavity slide cells. Each sample was heated at 70°C (as in Optical Microscopy of Spherulite Formation, above) to measure the growth of the preformed spherulites in fresh insulin solutions.
Spherulite density measurements
An insulin solution, prepared as described above, was heated at 70°C for 2 h in an Eppendorf tube. The unattached spherulites were separated from the solution by mild centrifugation, rinsed and transferred to a solution of HCl in a rectangular cuvette cell with the same ionic conditions as those in which they were prepared (pH 1.5). The cuvette was mounted vertically and imaged with the telecentric zoom microscope of an FTA200 system (First Ten Angtroms, Portsmouth, VA), at maximum magnification. Videos of the spherulites falling through the solution were captured, to measure the radius and sedimentation velocity of each spherulite. The spherulite density as a function of radius was calculated from these measurements.
| RESULTS |
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The surface spherulites are immobilized while they grow, and therefore they present us with an opportunity to measure the growth of each individually. A sample of insulin was prepared and heated at 75°C, and imaged every 2 min by DIC contrast optical microscopy. A small section of each snapshot is shown in Fig. 2 a, and the full video is included in the online supplement to this article (Supplementary Material, Video Suppl. 1). Spherulites appeared after 20 min and grew to diameters of
100 µm, as can be seen in Fig. 2 a. After 42 min, the spherulites have stopped growing. The final image at 68 min is taken again with the sample between crossed polarizers, and shows the characteristic Maltese crosses of the spherulites. The spherulites nucleate at different times and reach a steady-state radius. They are polydisperse at all times.
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5 µm and smaller appear very dim and diffuse, mainly due to the limitations of our optics, so radii of these values are excluded. A graph of radius against time is shown for this sample (Fig. 3).
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We may plot these curves in another way to emphasize the features of the growth: in Fig. 4 b, r(t) R is plotted so that each curve is superposed after growth ends. This plot shows that the sudden end of the growth occurs for all spherulites in each sample at approximately the same halt-time tR. Halt-times of 108, 68, and 42 min are measured at 65°C, 70°C, and 75°C, respectively, as shown by the arrows in Fig. 4 b. The curves have an upward curvature, which shows that the growth accelerates as the spherulites get larger. However, this effect seems to be fairly slight: the lines lie close to a universal curve, as they would if growth rate was constant, for each sample.
The growth curves can be fitted in a simplified way, according to the observed features. To the measurements of r(t) for each spherulite, parameters of nucleation time tN, initial growth rate ki, and steady-state radius R, can be fitted.
Our procedure was to define:
4 µm, where tF is the time of the last captured frame.
Fig. 5 a shows one result from the sample at 75°C. All measured spherulites were fitted according to this procedure, and the fitted lines of radius against time show a reasonable fit to the measured curves (see Fig. 5 b). For all sampled spherulites at each temperature, we plot R, ki, and tN against each other to explore correlations between their values. The results are shown in Fig. 6. Fig. 6, a and c, show a clear separation in tN for different temperatures. However, in each sample, there is a large spread of ki, which seems to be uncorrelated with both R and tN, and does not change noticeably with increasing temperature (Fig. 6, b and c). However, R is clearly correlated with tN for all temperatures, confirming that the growth is steady once the spherulites have nucleated (Fig. 6 a). We have fitted the plots of R against tN with linear least-squares fits (Fig. 6 a), yielding correlation coefficients of 0.86, 0.83, and 0.94 at 65°C, 70°C, and 75°C, respectively (see (29
), Section 14.5). These fits are in the form corresponding to constant linear growth of the spherulites in a sample:
![]() | (1) |
the average growth rate between the nucleation time and halt-time, has the values 1.50, 2.73, and 3.95 µm/min for 65°C, 70°C, and 75°C, respectively. However, the fitted values of tR = 100, 55, and 33 min, are smaller than the observed halt-times of 108, 68, and 42 min for 65°C, 70°C, and 75°C, respectively. This discrepancy reflects that the growth of the spherulites is slightly accelerating over time, as noticeable in Figs. 35
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To determine the final size-distribution of the spherulites, r(tF) was measured for all spherulites in focus in the final image of the samples at each temperature. A histogram of these radii is plotted in Fig. 7. The size distribution is similar at all three temperatures: the count decreases monotonically with increasing radius for R > 20 µm. For R
5 µm, the spherulites are too dim to be measured. According to the results above, the final radius of each spherulite has an approximately linear dependence on its nucleation time. Therefore, the size-distribution contains preserved information of the nucleation rate as a function of time. The distributions of Fig. 7 thus seem to indicate that this nucleation rate increases monotonically for most or all of the growth period for each sample presented.
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One experiment tested the difference between cHCl/HNO3-cleaned glass surfaces and polystyrene surfaces, as examples of strongly hydrophilic and hydrophobic surfaces. Two cells were prepared, filled with an insulin solution, and heated to 70°C. One cell was of cleaned glass as above, and one was solution-coated with polystyrene. As previously, images were taken at 2-min intervals and spherulite radii sampled. The resulting graphs of r(t) are shown in Fig. 8. As can readily be seen, there is no significant difference in growth rates or typical nucleation times between the samples, and the growth period of both samples ends at approximately the same halt-time. This experiment was repeated twice and the same lack of difference noted.
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t
6 min (not shown). In Fig. 11, ki is plotted against c for each preformed spherulite measured. At low insulin concentration, ki increases with c. However, at c > 1 mg/ml, ki has no obvious dependence on c.
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![]() | (2) |

is the difference between the spherulite density and the density of water,
= 1.0 mPas, and g is the acceleration due to gravity. V is plotted against R in Fig. 12 for all measured spherulites, and clearly shows the relationship: V
R2, indicating that the density of the spherulites is constant with respect to radius. Errors in measuring V are small, as plotted in Fig. 12. A least-squares fit of V = 7.52 x 104 m1 s1 R2 is also plotted in Fig. 12. From the constant of proportionality, we obtain 
= 34.5 kgm3 using Eq. 2. However, we also note that there is a significant variability between sedimentation velocities of spherulites of the same radius. This variability may be at least partially due to deviations from spherical of the spherulite shape, which would directly affect the sedimentation velocity.
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| DISCUSSION |
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Sedimentation experiments have shown that the density of the spherulites is constant with respect to radius. This has interesting implications for the spherulite structure and the arrangement of fibrils within. For this model of the spherulite to satisfy the requirement of constant density (see Results, above), the space in the corona must somehow be filled to keep the density uniform. Any sparse structural model in which the space does not fill as the spherulite grows, would not predict constant density of the spherulite as a function of radius. For example, if we model the spherulite as composed only of one-dimensional fibrils growing unbranched from a central nucleus, we would predict 
R2. Similarly, a fractal aggregate model of dimensionality d, similar to those observed in other aggregating systems (30
), would predict 
R3d. This would be unsatisfactory unless d = 3; i.e., the space-filling limit.
This information allows us to elaborate on the schematic model of Krebs et al. (27
). As the spherulite expands, the gaps between the growing fibrils must fill such that the density is kept constant. One possibility is that the fibrils branch to produce a three-dimensional structure (Fig. 13). Another possibility is that the gaps in the spherulite fill by nucleation of fibrils at the propagating interface, analogously to the polycrystalline growth models of Granasy et al. (31
). Either of these possibilities would represent an additional mechanism involved in the spherulite growth, although our measurements do not yield further information on either.
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![]() | (3) |
protein is the density of protein (i.e., mass of protein divided by volume of all displaced water molecules) for which we use the average value for crystalline protein of 0.81 Da Å3 (32
water = 998 kgm3. This yields nm = 1.37 x 1025 m3 from our measurements. Neglecting any nonfibrillar protein material that the spherulite may contain, we can now estimate the spacing of fibrils within the spherulite. Jimenez et al. (26
= nm x 9.6 Å/4 = 3.3 x 1015 m2. The latter corresponds to an average separation of
nm between aligned fibrils in the spherulite. Compared to the fibril diameter of 12 nm (26
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independently of when they have nucleated, and their location with respect to their neighbors. These observations can be explained within the context of the spherulite structural model discussed above, in which spherulites are composed of amyloid fibrils which nucleate on a core, and grow by the addition of precursor units from the solution to fibril ends on the spherulite surface. The precise form of these precursors is unknown: they could be individual insulin monomers, whether native or in some activated form, or oligomers and larger aggregate species.
The spherulite's radial growth rate is then linked directly to the elongation rate of the fibrils constituting its surface. An elongation-rate-limited polymerization reaction of precursors with fibril ends, where each precursor adds a constant distance dp to the length of the fibril in a rate-limiting reaction time
, will produce a constant fibril elongation rate. This would produce a constant radial growth rate
, if the fibrils are oriented perfectly radially,
![]() | (4) |
If a spherulite contains n precursor units, we can model the precursor addition rate
per unit area of spherulite surface, composed of fibril ends of density
. If the limiting reaction rate 1/
, of precursors joining a fibril end, is lower than the rate at which the precursors can be provided by diffusion, the radial growth rate will be elongation-rate-limited, following Eq. 4. In this case, the precursor addition rate is independent of the concentration of precursors in solution, cp:
![]() | (5) |
However, if the converse is true: if the limiting reaction rate 1/
is higher than the rate at which precursors are provided by diffusion, the precursor addition rate will vary with cp. The extreme case is that the provision of precursors by diffusion is much slower than 1/
, so the precursor addition rate is diffusion-limited. In this extreme, every precursor that reaches the spherulite sticks, and the precursor addition rate, is
![]() | (6) |
If the insulin solutions are prepared with high enough concentration, spherulite growth will follow the limiting elongation-rate of Eq. 4. Therefore, we identify the observed average growth rate
with
, to compare our model with experiment. The abrupt end of the growth can also be accounted for by the model, assuming that it is caused by the depletion of precursors from the solution. As precursors are consumed, cp will decrease, until the growth of each spherulite is no longer elongation-rate-limited. By this point, the precursor addition rate will start to fall, eventually reaching zero. For each spherulite, the end of the elongation-rate-limited growth regime will occur when cp has dropped to a level where
The equality of these limiting rates (Eqs. 56) defines a transition ratio of cp/r that we shall call
,
![]() | (7) |
. The growth model is shown schematically in Fig. 15. The rate at which precursors are consumed is proportional to the total area of spherulite surfaces in the sample. This area continually increases at an accelerating rate as more and more spherulites nucleate, and those which have nucleated grow, so accordingly we can expect cp to drop at an accelerating rate. As a result, the precursor addition rate would drop very quickly in time from a steady value to zero, qualitatively producing the observed growth curves, in which the steady growth of each spherulite halts abruptly.
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and
as calculated from our measurements, we obtain
= 2.4, 4.3, and 6.3 mM µm1 or 0.014, 0.025, and 0.037 mg ml1 µm1 for the samples at 65°C, 70°C, and 75°C, respectively.
We have observed steady growth of spherulites with radii up to
80 µm. Taking r = 80 µm, we predict a qualitative steady growth rate for concentrations of cp > 1.1, 2.0, and 2.9 mg/ml, for the samples at 65°C, 70°C, and 75°C, respectively. The initial insulin concentration of 5 mg/ml satisfies these inequalities, so our model is consistent with experiment at all three temperatures. In other words, the spherulite growth in these conditions is slow enough to be limited by the elongation-rate of fibrils on the spherulite surface, as we have described.
The kinetic model can be tested more quantitatively using the measured initial growth rates ki of preformed spherulites of initial radius r, growing at 70°C (see Results, above). For convenience, we take cp equal to the initial insulin concentration c, and examine this assertion later. Plotting ki against c/r for each spherulite then allows a direct comparison with the elongation-rate and diffusion limits, as modeled in Eqs. 4 and 5 and illustrated in Fig. 15. The result is shown in Fig. 16. The measured points show a reasonable quantitative agreement with our model. Within the error of radius measurement and the variability between individual spherulites, ki exhibits two regimes: it increases with c/r for c/r small, and remains constant for c/r large. The transition between the regimes occurs at c/r
= 0.025 mg ml1 µm1 as we have predicted, taking
=
= 2.73 µm/min as above. We emphasize that no adjustable parameters have been used in this comparison: the growth rate
and fibril-end density
, were determined from other measurements in this article; the monomer repeat distance, dp, is from the fibril structural model of Jimenez et al. (26
); and the diffusivity, D, was calculated from the monomer's radius of gyration. Looking again at Eq. 7, we can also see that the calculation of
is independent of the number of protofilaments per fibril, since both
and dp are inversely proportional to this number.
Our assumptions that the precursor species is the insulin monomer, and that cp equals c, must be examined. Our calculation of
is approximately independent of the identity of the precursor, since
depends on the product Ddp (Eq. 7), and both D and dp depend on the linear dimension of the precursor, being proportional and inversely proportional, respectively. Our model is therefore insensitive to the actual identity of the precursor, whether it is an insulin monomer, an oligomer, or larger aggregate species. However, by equating the precursor concentration cp, with the insulin concentration c, we have also assumed that all insulin in solution is in its precursor form. We may tentatively examine this assumption by comparing the measured and predicted diffusion-limited growth rates, as c/r
0. The measured ki values in this region are close to, but noticeably below, the predicted diffusion-limit (Fig. 16). This comparison suggests that a large fraction, but not all, of the insulin in solution at 70°C and pH 1.5 is in its precursor form at the onset of heating. Therefore, the precursor is likely to be a monomeric or small oligomeric form of insulin, and cannot be a species which takes a significant heating time to form. This result supports the suggestion of Krebs et al. (6
).
We noted above that the radial growth rate of each spherulite was not quite constant, but tended to accelerate slightly with time during the growth period. This observation may have several qualitative explanations. Rather than the fibrils being perfectly radially ordered, their order of alignment may increase as the spherulite radius increases. The branching or filling of space between the fibrils as they radially diverge may also affect the growth rate: there will be more space to fill for a radial increment
r, per unit surface area, at small r than large r. Alternatively, the accelerating growth may reflect some characteristic difference between the spherulite core and corona.
Nucleation
Insulin spherulites can form as surface-bound domes as well as suspended spheres. In our experiments, the high ratio of surface area to volume of each cell, and the lack of nucleation sites in the filtered protein solution, appear to have favored nucleation of spherulites on the surfaces relative to the bulk.
The seeding of insulin solutions with preformed spherulites led to the preformed spherulites growing immediately at the onset of heating, without a time delay. Therefore, it seems that the fibril ends that constitute the spherulite surface have remained active after they stop growing due to depletion of precursor, in the sense that when a spherulite is transferred to a new insulin solution, the ends can continue growing without a time delay.
The formation of surface-bound insulin spherulites was not affected by the simple hydropathicity of the surface. Spherulites grown on hydrophilic glass and hydrophobic polystyrene substrates showed no difference in nucleation times, growth rates, or the halt-time. It should be pointed out that this is an unexpected finding. Sluzky et al. (34
) found that agitation of an insulin solution increased the propensity of spherulite formation, and interpreted the positive result as being caused by the increased area of the hydrophobic air interface. Other experimental studies have also discussed the positive role of hydrophobic interactions on the formation of amyloid fibrils in general and insulin in particular (e.g., (24
,35
)).
The formation of strings of spherulites on untreated glass strongly hints at the influence of surface impurities or particles on spherulite nucleation. It would be most interesting to find and characterize substances that can induce the formation of amyloid spherulites.
| CONCLUSIONS |
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Our method allows us to follow the formation of individual amyloid spherulites immobilized on a surface, directlythus providing an ideal opportunity for testing the effect of surfaces and seeds on the formation of spherulites, as a model of physiological amyloid plaques.
| SUPPLEMENTARY MATERIAL |
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| ACKNOWLEDGEMENTS |
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S.S.R. gratefully acknowledges the Biotechnology and Biological Sciences Research Council for providing his studentship funding.
Submitted on August 15, 2005; accepted for publication October 4, 2005.
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