Abstract
Protein aggregation is related to the development of amyloid diseases, such as Alzheimer’s Disease and Huntington’s Disease. It is of great importance to detect aggregates at the earliest stage possible, which is a prerequisite for early diagnosis. Here, we present a method to monitor protein fibril size from early aggregation steps. We designed a peptide, FibrilPaint1, that specifically recognises and fluorescently labels various fibrils from diseases, but not their monomeric precursors. In combination with Flow Induced Dispersion Analysis, a microfluidics technology, we determined the molecular size of amyloid fibrils with sub-microliter sample volumes. FibrilPaint1 specifically detects structurally unrelated fibrils from Huntingtin and Tau, including ex vivo samples derived from Alzheimer’s Disease, Frontotemporal Dementia and Corticobasal Degeneration patients. The ability to recognise multiple amyloids but not monomeric precursors makes FibrilPaint1 a novel tool for diagnostic applications for amyloid diseases.
Introduction
Protein aggregation into amyloid fibrils characterizes the development of neurodegenerative diseases, affecting 55 million people worldwide (Long et al., 2023; Organization, 2017). In these diseases, aggregated proteins are hypothesised to have a causative relation with the disease onset. For example, Tau fibril formation is highly related to the progression of tauopathies, including Alzheimer’s Disease (AD), Frontotemporal Dementia (FTD), or Corticobasal Degeneration (CBD) (Ballatore et al., 2007; Spillantini & Goedert, 2013). In the case of Huntingtin (Htt), its fibrillation is directly correlated to the onset and progression of Huntington’s disease (HD) (Andrew et al., 1993; Saudou & Humbert, 2016).
Currently, neurodegenerative diseases lack causal treatment, leading to a significant challenge in healthcare. Antibodies, such as Lecanemab and Aducanumab have shown promise in treatment (Day et al., 2022; Van Dyck et al., 2023). However, these therapies include side effects such as brain edema or sulcal effusion hemorrage. These side effects also manifest as amyloid-related imaging abnormalities (Day et al., 2022; Shi et al., 2022; Shi, Murzin, et al., 2021; Van Dyck et al., 2023). The most common diagnosis techniques, such as phenotypical behaviour and brain imaging, correlate with massive accumulation of aggregated protein into amyloid fibrils, which occurs in a stage where the brain is irreversibly damaged. (Association, 2016; Bradford et al., 2009; Thal et al., 2013). It is of great importance to develop techniques that specifically recognise fibrillar structures and early aggregated species, but not free monomers.
A range of techniques can detect amyloid fibrils both formed in vitro and extracted ex vivo. Negative staining and cryo-electron microscopy are useful for assessing the morphology of the formed fibrils, as well as the branching, width, and length (Shi, Zhang, et al., 2021; Sunde & Blake, 1997) Dyes, such as Thioflavin T (ThT) and Congo Red, are qualitative methods used for the identification of amyloid structures in vitro and histology staining (Elghetany & Saleem, 1988; Howie et al., 2008; Vassar & Culling, 1959). Antibodies, large biologics of 150 KDa, are capable of recognising the specific protein forming the aggregate (Ko et al., 2001; Ksiezak-Reding et al., 1987; Sevigny et al., 2016; Van Dyck et al., 2023). However, antibodies are expensive and difficult to modify. Smaller compounds have higher chances to reach targets in the brain and are easier to design, which is exploited for the development of PET tracers, which are radioligands used for diagnostic purposes (Mueller et al., 2020; Shi, Murzin, et al., 2021). There is a strong medical need for such diagnostic tracer drugs able to early identify pathological protein fibrils in patients, such as binders against Tau.
Tracing fibrils requires the development of molecules that specifically bind fibrils. Tau accumulation is linked to a variety of Tauopathies, among which is AD (Bejanin et al., 2017; Iaccarino et al., 2021; Jack et al., 2019; Merz et al., 2023; Ossenkoppele et al., 2018; Ossenkoppele et al., 2016). In 2020, imaging agent Tauvid ([18F]-flortaucipir) was approved by the FDA (Commissioner, 2020; Jie et al., 2021; Ossenkoppele et al., 2018; Xia et al., 2013). Tauvid is currently the only PET tracer approved for diagnosing living patients, with results that can discriminate disease as well as stage of the disease (Jie et al., 2021; Leuzy et al., 2020; Merz et al., 2023; Mohammadi et al., 2023). Tracers for other aggregating proteins are also in development. For Huntingtin, the protein that aggregates in HD, tracers have passed tests on ex vivo samples (Delva et al., 2022; Herrmann et al., 2021; Liu et al., 2021; Liu et al., 2020; Matlahov et al., 2022). Even though PET tracers remain a valuable tool in diagnosis and in monitoring neurogenerative diseases directly in the brain, they present some limitations such as costs and limited accessibility (Ossenkoppele & Hansson, 2021). Transitioning to fluid-based biomarkers presents a great promise in advancing diagnosis of neurodegenerative diseases (Alcolea et al., 2023; Hansson et al., 2022; Teunissen et al., 2022). Brain constituents can for example end up in the cerebrospinal fluid (CSF), providing sometimes earlier signs of accumulation of aggregates than PET tracers, although the procedure of sampling CSF is invasive (Martí-Martínez & Valor, 2022; Palmqvist et al., 2016).
Here we present FibrilPaint1, a peptide that specifically recognises the repetitive nature of amyloid fibrils, acting as fibril paint. It can fluorescently stain amyloid fibrils of Tau and Huntingtin, which differ in structure and sequence, but not the non-aggregated monomeric form. The staining activity of FibrilPaint1 is enhanced by combination of π-stacking and H-bonding interactions (Ferrari et al., 2020; Garfagnini et al., 2022). These interactions are crucial for the recognition of fibrils but not monomers, increasing the binding affinity for the aggregated forms. In combination with Flow Induced Dispersion Analysis (FIDA), we determined the hydrodynamic radius of the aggregated species. As a result, we can detect the size of recombinant aggregates during the whole aggregation process and patient-derived fibrils.
Results
Development of a multi-targeting method to detect amyloids
We set out to develop a method to detect multiple amyloid fibrils (Fig. 1). Our strategy is established using Tau and Huntingtin (Htt), two aggregating proteins that are unrelated in sequence and structure. Tau is an intrinsically disordered protein that can aggregate into distinct conformations when it is detached from the axons of neurons (Arendt et al., 2016; Scheres et al., 2020; Stelzl et al., 2022) HD is an autosomal inherited disorder, where the start of aggregation correlates with the length of expansion of a glutamine stretch in the exon 1 of the Htt protein (Elena-Real et al., 2023; Isas et al., 2017; Isas et al., 2021; Lieberman et al., 2019).
Our previous work described the development of a family of peptides that inhibit aggregation of several unrelated proteins at early stages (Garfagnini et al., 2022). Based on that, we developed a set of four new peptides. To enhance the peptide binding to aggregates, we further increased the density of π-stacking and H-bonding residues of some of the peptides (Ferrari et al., 2020; Garfagnini et al., 2022). We added a negative EEVD sequence C-terminally with a GSGS spacer, creating two oppositely charged sections, with a positively charged N-terminal region and a negatively charged C-terminus. The EEVD sequence may also serve as adaptor to recruit protein quality control factors that specifically recognise this sequence via a TPR domain, which is potentially interesting for follow-up studies (Scheufler et al., 2000; Zheng & Shabek, 2017). We added a fluorescein group (Fl-) at the N-terminus, which facilitates detection. We varied the net charge and the number of aromatics in the peptides. This further optimization resulted in a set of four 22-residue long peptides with different charge, number of aromatics and uneven distribution of the different types of residues (Table 1). Designed to make fibrils visible, we call this class of peptides FibrilPaints. FibrilPaint1 and FibrilPaint2 have Arginine residues on positions 4 and 5, whereas FibrilPaint3 and FibrilPaint4 have Aspartates. FibrilPaint1 and FibrilPaint4 have Histidines on positions 11 and 12where FibrilPaint2 and FibrilPaint3 have Threonines.
The four peptides inhibit Tau and Htt amyloid aggregation
We assessed whether FibrilPaint peptides 1 to 4 could interact with aggregate species of multiple proteins. To do so, we tested the inhibitory capacity of the peptides on the amyloid aggregation of two unrelated proteins, Tau Repeat Domain (Q244-E372, TauRD) with the pro-aggregation mutation ΔK280, and Huntingtin Exon 1 comprising a 44 residues-long polyglutamine stretch (HttEx1Q44). We performed a ThT assay, an established method to monitor protein fibrils formation, in which the fluorescent dye ThT emits fluorescence upon binding to fibrils (Vassar & Culling, 1959). The four FibrilPaint peptides strongly inhibited the aggregation of 20 µM Tau-RD aggregation at substoichiometric concentration in a dose-dependent manner (Fig. 2A-D). At 2 μM, FibrilPaint1 was the most effective inhibitor, lowering the fluorescence intensity in the plateau by 92%, followed by FibrilPaint4 (90%), FibrilPaint2 (86%) and FibrilPaint3 (66%).
All FibrilPaints also inhibited aggregation of HttEx1Q44 at 20 µM in a dose-dependent manner, although less potently than TauRD (Fig. 2E-H). Here, FibrilPaint4 had the strongest effect, lowering the fluorescence intensity of the plateau with 74% at a concentration of 2 μM. FibrilPaint2 (55%), FibrilPaint3 (54%) and FibrilPaint1 (30%) inhibited aggregation of the polyglutamine protein to a significant extent, too. Overall, the four peptides inhibit amyloid aggregation of both TauRD and HttEx1Q44 at substoichiometric concentrations. This is remarkable as both proteins are entirely unrelated in sequence and the only common property is the formation of amyloid fibrils.
FibrilPaint1 binds to Tau and Htt fibrils
Next, we screened the four FibrilPaint peptides for direct binding to TauRD and HttEx1Q44 fibrils (Fig. 2I, J). To do so, we developed an application of FIDA to determine the size of amyloid aggregates. With FIDA, fluorescently labelled samples of interest is passed through a long capillary under pressure. The sample passes a detector window, resulting in a size-dependent diffuse profile. Smaller species diffuse faster and bigger ones slower, resulting in a narrow or broad dispersion fluorescent signal. Since FIDA relies on the physical diffusion properties of the sample, we can measure the hydrodynamic radius (Rh) of labelled species from the fluorescent signal. (He & Niemeyer, 2003; Miller, 1924). The Rh is a parameter corresponding to the size and shape of a molecule or a complex in solution. It is the radius of the sphere created by the tumbling particle. Rh values can be estimated from the structural coordinates, either by experimental methods or by predictions such as AlphaFold (Table 2).
Determining the Rh for aggregating species requires a compound that labels the aggregate without altering its properties. The binding of the fluorescently labelled FibrilPaint peptide to protein fibrils increases the Rh value, as the peptide now tumbles together with the larger fibril (Fig. 2I). We determined the Rh of FibrilPaint1 to 4 in this set-up, revealing an Rh of 1.7 nm each (Table 1). To measure the Rh of fibril complexes, we incubated pre-formed fibrils together with each of the four peptides in a 1:100 peptide:monomer ratio. The excess of fibril was intended to minimise the presence of free peptide.
Testing the FibrilPaint peptides for binding to TauRD fibrils that aggregated for 8 h showed that FibrilPaint1 binds strongly, increasing the average Rh value from 1.5 nm to 54 nm (Fig. 2J). Importantly, incubation of FibrilPaint1 with TauRD monomer did not result in an increased Rh value, indicating that it does bind specifically to the fibril but not to the monomer (Fig. 2C, J). The binding of FibrilPaint2 to 4 to TauRD fibrils was not sufficiently stable to fluorescently label them effectively. It is interesting that only FibrilPaint1 binds strongly enough to act as a non-covalent label, given that all FibrilPaint peptides inhibit aggregation of TauRD. This indicates that high affinity to fibrils exceeds the demands required for prevention of aggregation, and fibril recognition and inhibition are two different properties.
Testing the FibrilPaint peptides for labelling of HttEx1Q44 fibrils resulted in remarkably similar results. The average Rh of FibrilPaint1 in the presence of HttEx1Q44 fibrils that aggregated for 4 h increased from 1.7 nm to 120 nm, while it did not bind to the monomer (Fig. 2K). FibrilPaint peptides 2-4 are also ineffective in binding HttEx1Q44 (Fig. 2K). Thus, it is a unique property of FibrilPaint1 to bind and fluorescently label protein fibrils of unrelated sequence, while not binding to the monomer.
FibrilPaint1 is amyloid-specific
We investigated whether FibrilPaint1 binds to fibrils without perturbance by other biomolecules or cellular components. We tested its ability to specifically recognise TauRD fibrils in presence of an abundance of other cellular proteins, by adding E. coli cell lysate. We incubated pre-formed 20 h TauRD fibrils together with FibrilPaint1 in a 1:100 ratio in 50% cell lysate. Under these conditions, FibrilPaint1 shows an increased size of 39 nm, which is consistent with the Rh of 41 nm measured from the same fibrils in buffer (Figure 3A). When incubating FibrilPaint1 alone in cell lysate, the size remains the same as FibrilPaint1 alone (Figure 3A). Thus, FibrilPaint1 specifically recognises fibrils in a complex cellular mixture.
Next, we tested whether binding of FibrilPaint1 to aggregates requires fibrillar structures. We used Luciferase as an established paradigm for non-amyloid aggregates (Parsell et al., 1994). Luciferase is a globular 61 KDa protein with a Rh of 3.4 nm (Table 2) that forms amorphous aggregates when denatured by heat shock. We incubated FibrilPaint1 together with heat-shocked Luciferase in a 1:100 ratio. The Rh of FibrilPaint1 in the FIDA measurement is not affected by the presence of luciferase aggregates (Figure 3B). This indicates that FibrilPaint1 does not bind to amorphous luciferase aggregates. Together, these data demonstrate that FibrilPaint1 binds specifically to amyloid fibrils, undisturbed by the presence of other biomolecules.
Monitoring fibril kinetics
We then set out to monitor aggregation kinetics following the increasing Rh using FibrilPaint1 and FIDA, for both TauRD and HttEx1Q44 (Fig. 4A, E). After 0.5 h, the aggregation reaction of TauRD resulted in an increase of the averaged Rh from 1.7 nm to 2 nm. All species measured at t = 0.5 h had the same size, indicating full binding of FibrilPaint1, without any dissociation taking place. No larger species were present at that timepoint. TauRD aggregation continued, and rapidly increased to an Rh 5 nm after 2 h (Fig. 4A). Fibril sizes measured were also more heterogeneous, indicating the presence of multiple aggregates with varying lengths. Only the largest species were plotted (Fig. 4A). TauRD aggregation reached a plateau at an Rh value of 45 nm after 8 h.
With the radius of the fibril, we can calculate its length using the Stoke-Einstein equation (Sup. Fig. 1) (He & Niemeyer, 2003; Miller, 1924). TauRD has an estimated radius between 2 and 2.5 nm, assuming its radius approaches the one of FL-Tau (Table 2). When aggregating, fibrils extend through a cylinder-like pattern, and the Rh must be converted to fibril length through the molecular weight and radius of gyration (Sup. Fig. 1) (He & Niemeyer, 2003; Yoshizaki & Yamakawa, 1980). This would mean that the plateau value of TauRD fibrils of 45 nm corresponds to fibril length of 436 to 466 nm, which is consistent to the length measured with ns EM (Sup. Fig. 2)
For HttEx1Q44, Rh increased to 5 nm after 1 h. This already exceeds the predicted Rh of the unfolded monomeric structure of HttEx1Q44, which is estimated to be 3.4 nm (Table 2). Therefore, this species consists of multiple monomers. Aggregation then exponentially increased up to an average Rh of 500 nm after 7 h (Fig. 4E). As the particle size reached the upper limit of the FIDA measurement, we could not determine the plateau value.
We monitored the aggregation process in parallel with the established ThT assay, in the fluorescence plate reader, for both TauRD and HttExon1Q44 (Fig. 4B, E). The ThT fluorescent signal rises immediately after addition of heparin to TauRD and increases rapidly reaching a plateau already after 4 h (Fig. 4B). The increase of the ThT fluorescent signal was faster than what we observed in the FIDA measurements using FibrilPaint1 (Fig. 4A). It suggests that formed fibrils may already be saturated by ThT but are still growing in length. We obtained similar results for HttEx1Q44. The ThT revealed a lag-phase of approximately 2 h and a plateau after 5 h of aggregation (Fig. 4E), while the size of the fibrils still increased (Fig. 4D). The aggregation of HttEx1Q44 was more aggressive than aggregation of TauRD, and resulted in larger fibrils. This observation may reflect that the fibrils form larger fibril clusters sticking the fibrils together. We conclude that both methods are complementary, with the ThT assay providing a signal representing the presence of amyloid fibrils while the FIDA measurements provides in addition a readout for the length of the fibrils that goes beyond the early aggregation phase.
Characterising fibril shape
Next, we set out to compare the average fibril size obtained by FIDA data with single particle EM images. We used negative stain EM imaging to characterise the shape of the TauRD fibrils after 24 h aggregation and HttEx1Q44 fibrils after 6 h (Fig. 4C, F). TauRD fibrils appeared as long, single, fibrillar structures (Fig. 4C). The length of the Tau fibrils varied strongly and was on average 500 to 600 nm (Sup. Fig. 2), bigger than our FIDA observations. This is as expected, as smaller fibrils are excluded due to the lower detection limits of the technique. On the contrary, HttEx1Q44 fibrils formed larger clusters of fibrils (Fig. 4F) (Boatz et al., 2020; Isas et al., 2021; Matlahov et al., 2022; Nazarov et al., 2022). We noted a large variation between the sizes of these clusters: from just a few fibrils of 50-100 nm to enormous clusters of several µm in width. A representative shape formed by these clusters is around 800 nm long and 200 nm wide (Fig. 4F). Since this shape is more spherical than singular fibrils, it would result in an Rh of 400 nm, which is consistent with the Rh of 300-500 nm in FIDA experiments. These clusters explain the rapid increase in size detected with FIDA and reaching the upper limit of the FIDA measurement.
FibrilPaint1 determines the size of inhibited species
Next, we set out to analyse how large the ensemble of the inhibited aggregated species become. With the ThT assays, we saw that in the presence of FibrilPaint1, TauRD seems to be completely inhibited, whereas HttEx1Q44 aggregation slowed down (Fig. 2A, E) We took samples at various timepoints of the stalled aggregation reaction and measured them in FIDA (Fig. 5). In presence of FibrilPaint1, TauRD aggregation reached a Rh of 3.5 nm after 2 h incubation. This species of 3.5 nm remained stable for 8 h (Fig. 5A). Interestingly, the fibrils were too small to be visible in negative staining EM images (Fig. 5C). Under the same inhibiting conditions, HttEx1Q44 aggregated to an average size of 28 nm in presence of FibrilPaint1, remaining stable over 8 h (Fig. 5B). Negative staining EM showed that Htt fibrils had much more space between them upon addition of FibrilPaint1, showing more unbundled fibril shapes (Fig. 5C).
Although FibrilPaint1 inhibits both TauRD and HttEx1Q44 aggregation, it is evident that the inhibited state of HttEx1Q44 fibrils include more layers than TauRD fibrils. TauRD aggregates to a Rh of 3.5 nm, which is estimated to be 5 layers (Table 2). The 28 nm Rh of HttEx1Q44 is a bit more difficult to convert. Assuming all fibrils are unbundled now, and we have a radius of 3 to 3,5 nm, we can estimate the fibril length of Htt to be between 220 nm and 280 nm (Fig. 5C, Sup. Fig. 2)(Helabad et al., 2023). FIDA is therefore a suitable method to characterise the state of inhibited fibrils and shows consistent data with ThT and nsEM images (Fig. 5).
FibrilPaint1 for monitoring patient-derived fibrils
Given that FibrilPaint1 specifically binds amyloid fibrils, it may have potential for diagnostic tracing of protein fibrils in patients. This would require that FibrilPaint1 would recognise patient-derived fibrils. Interestingly, cryo-EM structures of Tau fibrils show that their shape differs for the various tauopathies, and heparin-induced recombinant fibrils (Scheres et al., 2020) (Fig. 6B). As potential reporter for Tau fibrils, it was important to assess the ability of FibrilPaint1 to recognise patient-derived fibrils of several tauopathies.
We set out to measure ex vivo Tau fibrils from three different tauopathies. We purified fibrils from deceased patients diagnosed with CBD, FTD and AD. Monomeric Tau undergoes different post-translational alternative splicing in different diseases, leading to six different isoforms, with either four (4R) or three (3R) repeats of the microtubule-binding domain. Depending on the isoform incorporated in the fibril, tauopathies can be classified as 4R (CBD), 3R (FTD) or 4R/3R (AD). These different isoforms also have different conformations in each disease (Scheres et al., 2020) We imaged the purified fibrils with negative stain EM to confirm the typical disease-specific fibril shape (Fig. 6C). Both size and morphology can reveal information about fibril formation, interface and stability, correlating specifically with the disorder they are associated with. It is therefore of importance to characterise the size of various patient-derived fibrils as a means to differentiate Tau fibrils formed in different diseases and provide diagnosis.
We performed FIDA analysis to determine the size of the patient-derived Tau fibrils (Fig. 6A). The fibrils formed by recombinant TauRD had an average Rh of 54 nm. Fibrils measured from a patient diagnosed with AD had an apparent average Rh of 40 nm, with little variation between the measurements (Fig 6A). For CBD, the observed Rh was 140 nm (Fig 6A). Fibrils from FTD appeared to be a homogeneous population, with an average Rh of 60 nm (Fig 6A). These data reveal that FibrilPaint1 is suitable to interact with and characterise protein fibrils derived from primary material.
We then set out to calculate the average length of patient-derived fibrils from the Rh data and compared to the observed length in the single particle data. For comparing Rh values with actual fibril length, we generated a model to convert Rh to fibril length. We stacked in silico layers on top each other and calculated the predicted size with FIDAbio Rh prediction tool. One full turn of the twist of a PHF comprises 342 layers (Fig. 6D). As the fibril structure is layer per layer 4.7 Å, full twist corresponds to a length of approximately 160 nm (Fitzpatrick et al., 2017). An Rh of 40 nm corresponds to a fibril of approximately 900 layers (Fig. 6F), which would give a fibril length of approximately 420 nm. To compare these values, we analysed the fibril population of negative staining EM data of AD sample. We assessed in total 103 fibrils, of which 48 showed a typical PHF structure (Sup. Fig. 3). We used the repetitive element in these fibrils to determine their average length. Averaging the length of the PHF fibrils revealed 2.7 turns, corresponding to 430 nm (Fig. 6E). This is consistent with the 420 nm observed in the FIDA experiments with the FibrilPaint1-stained fibrils. Thus, we conclude that combining FibrilPaint1 and FIDA is suitable to determine the length of pathological fibrils.
Discussion
We have developed FibrilPaint1, as a diagnostic tool that binds to amyloid fibrils but not their monomeric precursors. FibrilPaint1 is able to label patient-derived fibrils from three different tauopathies, which have different folds (Falcon et al., 2018; Fitzpatrick et al., 2017; Goedert et al., 2019; Scheres et al., 2020; Zhang et al., 2020). In combination with FIDA, FibrilPaint1 proves a valuable tool for the study of the aggregation pathway of TauRD and HttEx1Q44, two aggregating proteins which are unrelated in sequence and structure (Fig. 1). Importantly, FibrilPaint1 has a high specificity for amyloid fibrils, and does not recognize amorphous aggregates (Fig. 3B). FibrilPaint1 is therefore a specific tool accessible to determine the presence of fibrils, in all stages of the aggregation process.
FibrilPaint1 bypasses the need to label protein fibrils for modern fluorescence-based detection methods. FibrilPaint1 binds non-covalently to fibrils, without altering the structure of the fibrils (Fig. 2, 5). This proves useful when handling precious, patient-derived material, avoiding material loss or artefacts due to labelling procedures. It also allows the detection of amyloid fibrils in presence of cell lysate (Fig. 3A). FibrilPaint1 therefore proves to be a selective compound for detection of amyloids and can potentially be used as a tracer for detecting multiple aggregating diseases. With amyloidosis also present in other diseases such as diabetes, cardiomyopathy and Parkinson’s Disease, FibrilPaint1 could be interesting tool for detecting pathological fibrils outside the brain such as the liver, heart or guts respectively (Brundin et al., 2017; Cao et al., 2020; Ruberg et al., 2019).
The development of tracer diagnostics for early diagnosis of neurodegenerative diseases remains crucial. To date, Tauvid is the only FDA approved PET tracer for AD (Commissioner, 2020; Jie et al., 2021; Mohammadi et al., 2023). Cryo EM data reveals Tauvid does not bind in a regular stochiometric manner to AD fibrils, but it does to CTE Type I filaments (Shi et al., 2022). Regarding tracers for Htt, those have only been tested in ex vivo samples (Delva et al., 2022; Herrmann et al., 2021). Recently, fluid-based biomarkers emerged as novel diagnosis tools (Alcolea et al., 2023; Hansson et al., 2022; Teunissen et al., 2022). These markers provide valuable information about diagnosis, disease stage and progression. Moreover, fluid biomarkers are potentially more accessible and less expensive than PET tracers. We have demonstrated the ability of FibrilPaint1 to specifically bind to fibrils of patients diagnosed with AD, CBD and FTD (Fig 6A), as well as recombinant HttEx1Q44 fibrils (Fig 2J), at substoichiometric concentrations. This makes FibrilPaint1 a potential tracer specific to amyloid fibrils of varying nature, able to recognise the repetitive structure of the fibrils. The peptide-nature of FibrilPaint1 is biocompatible and can be further functionalised to develop a tracer for neurodegenerative diseases at early stages.
The combination of FibrilPaint1 with FIDA provides a valuable research tool. FibrilPaint1 with FIDA does not only establishes the presence of amyloids, but gives a structural parameter: Rh (Jensen & Østergaard, 2010). The average Rh of FibrilPaint1-stained fibrils is determined without bias towards larger or smaller particles, which could be useful to assess the stage of the disease (Lobanova, 2022; Nirmalraj et al., 2023). Also, with recent advances in cryo-EM, many fibril structures are available as PDB files (Scheres et al., 2020). The average Rh can then directly be associated with the structure of a fibril and hence with a specific disease to be diagnosed. Therefore, combining FibrilPaint1 with FIDA measurements allows to monitor the average length of the fibrils.
Remarkably, only FibrilPaint1 of our set of FibrilPaints can bind TauRD and HttEX1Q44 aggregates, while all were able to inhibit aggregation (Fig. 2). Inhibition by FibrilPaints was also stronger on Huntingtin than our former peptide series (Garfagnini et al., 2022). The four peptides vary by an Arg or Asp in the beginning of the peptide and His or Thr at the end. Apparently, the binding mechanism is specific and dependent on these Arg and His combination of residues. Since FibrilPaint1 can bind two different aggregating species, the mechanism of binding must be related to recognition of the repetitive motif characteristic for amyloid fibrils (Gallardo et al., 2020; Iadanza et al., 2018) Both Arg and His are Nitrogen-Carbon π-stacking system, involving no oxygens. This enhances the π-stacking abilities generated by the Tryp in all FibrilPaints even further. We suspect that this is one of the most important properties of FibrilPaint1 for binding multiple aggregating species.
FibrilPaint1 is a suitable tool for further development into a tracer for neurodegenerative and other fibrillar diseases. The ability to specifically bind multiple amyloid fibrils opens the door for the diagnosis of varying neurodegenerative diseases. Its ability to recognize early aggregates provides the opportunity to recognize first stages of the diseases. This may allow intervention before severe damage in the brain has occurred.
Methods
Expression and purification of TauRD
We produced N-terminally FLAG-tagged (DYKDDDDK) human TauRD (Q244-E372, with pro-aggregation mutation ΔK280) in E. Coli BL21 Rosetta 2 (Novagen), with an additional removable N-terminal His6-Smt-tag (MGHHHHHHGSDSEVNQEAKPEVKPEVKPETHINLKVSDGSSEIFFKIKKTTPL RRLMEAFAKRQGKEMDSLRFLYDGIRIQADQTPEDLDMEDNDIIEAHREQIGG). Expression was induced at OD600 0.8 by addition of 0.15 mM IPTG and incubation at 18 °C overnight. Cells were harvested by centrifugation, resuspended in 25 mM HEPES-KOH pH=8.5, 50 mM KCl, flash frozen in liquid nitrogen, and kept at – 80 °C until further usage. Pellets were thawed at 37 °C, followed by the addition of ½ tablet/50 ml EDTA-free Protease Inhibitor and 5 mM β-mercaptoethanol. Cells were disrupted using an EmulsiFlex-C5 cell disruptor, and lysate was cleared by centrifugation. Supernatant was filtered using a 0.22 μm polypropylene filtered and purified with an ÄKTA purifier chromatography System. Sample was loaded into a POROS 20MC affinity purification column with 50 mM HEPES-KOH pH 8.5, 50 mM KCl, eluted with a linear gradient 0-100%, 5 CV of 0.5 M imidazole. Fractions of interest were collected, concentrated to 2.5 ml using a buffer concentration column (vivaspin, MWCO 10 KDa), and desalted using PD-10 desalting column to HEPES pH 8.5, ½ tablet/50 ml Complete protease inhibitor, 5 mM β-mercaptoethanol. The His6-Smt-tag was removed by treating the sample with Ulp1, 4 °C, shaking, overnight. The next day, sample was loaded into POROS 20HS column with HEPES pH 8.5, eluted with 0-100% linear gradient, 12 CV of 1M KCl. Fractions of interest were collected and loaded into a Superdex 26/60, 200 pg size exclusion column with 25 mM HEPES-KOH pH 7.5, 75 mM NaCl, 75 mM KCl. Fractions of interest were concentrated using a concentrator (vivaspin, MWCO 5 KDa) to desired concentration. Protein concentration was measured using a NanoDrop™ OneC UV/Vis spectrophotometer and purity was assessed by SDS-PAGE. Protein was aliquoted and stored at – 80 °C.
Expression and purification of HttEx1Q44
We produced HttEx1Q44 with in E. Coli BL21 Rosetta 2 (Novagen), with an additional N-terminal MBP-and C-terminal His6-tag (MKIEEGKLVIWINGDKGYNGLAEVGKKFEKDTGIKVTVEHPDKLEEKFPQVAA TGDGPDIIFWAHDRFGGYAQSGLLAEITPDKAFQDKLYPFTWDAVRYNGKLIA YPIAVEALSLIYNKDLLPNPPKTWEEIPALDKELKAKGKSALMFNLQEPYFTWP LIAADGGYAFKYENGKYDIKDVGVDNAGAKAGLTFLVDLIKNKHMNADTDYSIA EAAFNKGETAMTINGPWAWSNIDTSKVNYGVTVLPTFKGQPSKPFVGVLSAGI NAASPNKELAKEFLENYLLTDEGLEAVNKDKPLGAVALKSYEEELAKDPRIAAT MENAQKGEIMPNIPQMSAFWYAVRTAVINAASGRQTVDAALAAAQTNAAAAS EFSSNNNNNNNNNNLGIEGRMATLEKLMKAFESLKSFQQQQQQQQQQQQQ QQQQQQQQQQQQQQQQQQQQQQQQQQQQQQQPPPPPPPPPPPQLPQP PPQAQPLLPQPQPPPPPPPPPPGPAVAEEPLHRPSGSHHHHHH). We induced expression at an OD600 of 0.8 by adding 0.15 mM IPTG and incubating at 18 °C overnight. Cells were harvested by centrifugation and resuspended in 50 mM HEPES-KOH pH=8.5, 50 mM KCl with ½ tablet/50 ml EDTA-free Protease Inhibitor and 5 mM β-mercaptoethanol. Cells were disrupted using an EmulsiFlex-C5 cell disruptor, and lysate was cleared by centrifugation. Supernatant was filtered using a 0.22 μm polypropylene filtered and purified with an ÄKTA purifier chromatography System. Sample was loaded into a POROS 20MC affinity purification column with 50 mM HEPES-KOH pH 8.5, 100 mM KCl, eluted with a linear gradient 0-100%, 10 CV of 0.5 M imidazole, 30 mM NaCl. Fractions of interest were collected and concentrated to desired concentration using concentrating column (vivaspin, MWCO 30 KDa). Protein concentration was measured using a NanoDrop™ OneC UV/Vis spectrophotometer and purity was assessed by SDS-PAGE. Protein was aliquoted and stored at – 80 °C.
Peptide synthesis and purification
The peptides were synthesized using a Liberty Blue Microwave-Assisted Peptide Synthesizer (CEM) with standard Fmoc chemistry and Oxyma/DIC as coupling reagents. The peptide concentrations were measured by UV spectroscopy. The peptides were labeled with 5(6)-carboxyfluorescein at their N’ termini. The peptides were cleaved from the resin with a mixture of 95% (v/v) trifluoroacetic acid (TFA), 2.5% (v/v) triisopropylsilane (TIS), 2.5% (v/v) triple distilled water (TDW) agitating vigorously for 3 hours at room temperature. The volume was decreased by N2 flux and the peptides precipitated by addition of 4 volumes of diethylether at −20 °C. The peptides were sedimented at −20 °C for 30 minutes, then centrifuged and the diethylether discarded. The peptides were washed three times with diethylether and dried by gentle N2 flux. The solid was dissolved in 1:2 volume ratio of acetonitrile ACN:TDW, frozen in liquid Nitrogen and lyophilized. The peptides were purified on a WATERS HPLC using a reverse-phase C18 preparative column with a gradient of ACN/TDW. The identity and purity of the peptides was verified by ESI mass spectrometry and Merck Hitachi analytical HPLC using a reverse-phase C8 analytical column.
Fibril extraction
Brain material of FTD and CBD were obtained from the Dutch Brain Bank, project number 1369. Brain material for AD was donated by prof. J. J. M. Hoozemans from the VU Medical Centra Amsterdam.
PHFs and SFs were extracted from grey matter of prefrontal cortex from patients diagnosed with AD. Tissue was homogenized using a Polytron(PT 2500E, Kinematica AG) on max speed in 20 % (w/v) A68 buffer, consisting of 20 mM TRIS-HCl pH 7.4, 10 mM EDTA, 1.6 M NaCl, 10% sucrose, 1 tablet/10 ml Pierce protease inhibitor, 1 tablet/10 ml phosphatase inhibitor. The homogenized sample was spun from 20 minutes, at 14000 rpm at 4 °C. Supernatant was collected, and the pellet was homogenized in 10% (w/v) A68 buffer. The homogenized was spun once more. The supernatants of both centrifugations were combined and supplied with 10% w/v Sarkosyl, and incubated for 1 hour on a rocker at room temperature. The sample was ultracentrifuged for 1 hour at 100000xg and 4 °C. The supernatant was discarded, and the pellet was incubated overnight at 4 °C in 20 μl/0.2 g starting material of 50 mM TRIS-HCl pH 7.4. The next day, the pellet was diluted up to 1 ml of A68 buffer, and resuspended. To get rid of contamination, the sample was spun for 30 minutes at 14000 rpm, 4 °C. Supernatant was collected and spun once more for 1 hour at 100000xg, 4 °C. The pellet was resuspended in 30 μl 25 mM HEPES-KOH pH 7.4, 75 mM KCl, 75 mM NaCl, and stored at 4 °C up to a month.
Narrow filaments were extracted from the grey matter of the middle frontal gyrus from patients diagnosed with FTD. Fibrils were extracted following the protocol for AD fibrils. After the first ultracentrifugation step, the pellet was resuspended in 250 μl/1g of starting material of 50 mM Tris pH 7.5, 150 mM NaCl, 0.02% amphipol A8-35. The sample was centrifuged for 30 minutes at 3000xg and 4 °C. Pellet was discarded, and the supernatant was ultracentrifuged for 1 hour at 100000xg and 4 °C. The pellet was resuspended in 30 μl of 50 mM TRIS-HCl pH 7.4, 150 mM NaCl, and stored at 4 °C up to a month.
CBD fibrils were extracted from the grey matter of the superior parietal gyrus of patients diagnosed with CBD. Tissue was homogenized using a Polytron(PT 2500E, Kinematica AG) on max speed in 20 % w/v 10 mM TRIS-HCl pH 7.5, 1 mM EGTA, 0.8 M NaCl, 10% sucrose. The homogenate was supplied with 2% w/v of sarkosyl and incubated for 20 minutes at 37 °C. The sample was centrifuged for 10 minutes at 20000xg, and 25 °C. The supernatant was ultracentrifuged for 20 minutes at 100000xg and 25 °C. The pellet was resuspended in 750 μl/1g starting material of 10 mM TRIS-HCl pH 7.5, 1 mM EGTA, 0.8 M NaCl, 10% sucrose, and centrifuged at 9800xg for 20 minutes. The supernatant was ultracentrifuged for 1 hour at 100000xg. The pellet was resuspended in 25 μl/g starting material of 20 mM TRIS-HCl pH 7.4, 100 mM NaCl, and stored at 4 °C up to a month.
ThioflavinT aggregation assay
Aggregation of 20 µM Tau-RD in 25 mM HEPES-KOH pH 7.4, 75 mM KCl, 75 mM NaCl, ½ tablet/50 ml Protease Inhibitor, was induced by the addition 5 µM of heparin low molecular weight in presence of 45 µM ThioflavinT. Impact of peptides was assessed by adding 0.02, 0.2 or 2 µM of peptide. Fluorescent spectra was recorder every 5 minutes, at 37 °C and 600 rpm during 24 hours in CLARIOstar® Plus.
Aggregation of 20 µM HttEx1Q44 in 25 mM HEPES-KOH pH 7.4, 75 mM KCl, 75 mM NaCl, ½ tablet/50 ml Protease Inhibitor, was induced by the cleavage of C-terminal MBP-tag with Factor Xa, in presence of 45 µM ThioflavinT. Impact of peptides was assessed by adding 0.02, 0.2 or 2 µM of peptide. Fluorescent spectra was recorder every 5 minutes, at 37 °C and 600 rpm during 24 hours in CLARIOstar® Plus.
Negative Staining Electron Microscopy (nsEM)
Fibril samples were diluted to concentrations between 2 µM and 20 µM, and stored in an ice bath until preparation of grids at room temperature. Copper grids with continuous carbon were glow discharged in air of 0.1 bar for 15 sec, using a current of 10 mA, before applying a sample volume of 2.0 µL that was allowed to incubate on the carbon for 60 sec. After incubation, the grid was blotted and subsequently washed twice in 4 µL of milli-Q water and stained twice in 4 µL of uranyl acetate (2w/v% in water), making sure to blot it dry before proceeding to the next droplet. The second droplet of uranyl acetate was left to incubate for 60 sec on the grid, after which it was blotted nearly entirely and left to evaporate for 5 minutes. Imaging took place on a Talos L120C transmission electron microscope from Thermo Fisher Scientific, operating at 120 kV in micro-probe mode. Using a defocus between −1.0 µm and −2.0 µm, the CETA camera recorded images at magnifications of 210, 1.250, 11.000, 36.000, 57.000, and 120.000x, corresponding to an approximate dose between 1 e/A2 and 50 e/A2 depending on the exact magnification.
Size measurement with Flow Induced Dispersion Analysis (FIDA)
Flow Induced Dispersion Analysis (FIDA) was used to determine fibril size. The FIDA experiments were performed using a FIDA1 with a 480 nm excitation source.
Different timepoint preformed Tau-RD or HttEx1Q44 fibrils were diluted to a final concentration of 2 µM (calculated as if monomer concentration) in 25 mM HEPES-KOH pH 7.5, 75 mM KCl, 75 mM NaCl, 0.5% pluronic (for Tau-RD) or 50 mM HEPES-KOH pH 7.5, 150 mM KCl, 0.5% pluronic (for HttExQ4), together with 200 nM of FibrilPaint1. For patient derived Tau filaments, AD, CBD or FTD fibrils were diluted to a final concentration of 2 µM in 20 mM TRIS-HCl pH 7.4, 100 mM NaCl, 0.5 % pluronic (for AD and CBD), or 50 mM TRIS-HCl pH 7.4, 150 mM NaCl, 0.5 % pluronic (for FTD). The mode of operation use is capillary dissociation (Capdis). In this, the capillary is equilibrated with buffer followed by injection of the sample. Only the indicator sample contains fibrils, in order to minimize stickiness to the capillary.
Calculation of fibril length from Rh
For a perfectly spherical particle, the Rh is identical to the radius of the sphere. For fibrils, the shape can be approximated as a cylinder. When the length is at least five times as big as the radius (L/R>5), we can apply the Equation 1 (He & Niemeyer, 2003; Yoshizaki & Yamakawa, 1980):
Using equation 1, where L is the length and R the radius of the analysed particle, we have created a graph to help estimate the fibril length of the measured species (Sup. Fig. 1)
Conflict of interest
JAP, FAD, TG, GM, AF and SGDR are named as inventors in a patent (EP23194706, ‘Peptides for the detection of amyloid fibril Aggregates’) filed by Universiteit Utrecht Holding BV describing the peptides mentioned in this manuscript. HJ is the C.S.O. of FIDA Biosystems. The other authors declare no competing interests.
Author contributions
Conception JAP, FAD, TG, GM, AF, SGDR
Design of the work JAP, FAD, SGDR
Acquisition JAP, FAD, MBK, MB, JJMH
Analysis JAP, FAD, HJ, AF, SGDR
Interpretation of data JAP, FAD, HJ, AF, SGDR
Writing original draft JAP, FAD
Revision JAP, FAD, MBK, HJ, TG, JJHM, FF, AF and SGDR
Supplementary figures
Acknowledgements
We thank the Protein Research Centre of Utrecht University for access to instrumentation. SGDR was supported by grants of the Campaign Team Huntington and Alzheimer Nederland (No. WE.03-2019-03) and a ZonMW TOP grant (No. 91215084). AF thanks The Minerva Center for Bio-Hybrid complex systems and the Saerree K. and Louis P. Fiedler Chair in Chemistry.
Footnotes
Correction of an inconsistency in Fig. 6A, the list of affiliations and in the Acknowledgement.