Abstract
Pancreatic amyloid formation by the polypeptide IAPP contributes to β-cell dysfunction in type 2 diabetes. There is a one-to-one correspondence between the ability of IAPP from different species to form amyloid in vitro and the susceptibility of the organism to develop diabetes. Rat IAPP is non-amyloidogenic and differs from human IAPP at six positions, including three proline replacements: A25P, S28P, S29P. Incorporation of these proline residues into human IAPP leads to a non-amyloidogenic analogue which is used clinically. The role of the individual proline residues is not understood. We examine the three single and three double proline substitutions in the context of human IAPP. An S28P substitution significantly decreases amyloidogenicity and toxicity, while an S29P substitution has very modest effects despite being an identical replacement just one residue away. The consequences of the A25P substitution are between those of the two Ser to Pro substitutions. Double analogs containing an S28P replacement are less amyloidogenic and less toxic than the IAPPA25P S29P double analog. Ion mobility mass spectrometry reveals that there is no correlation between monomer or dimer conformation as reported by collision cross sections measurements and the time to form amyloid. The work reveals both the plasticity of IAPP amyloid formation and the exquisite sequence sensitivity of IAPP amyloidogenicity and toxicity. The study highlights the key role of the S28P substitution and provides information that will aid the rational design of soluble variants of IAPP. The variants studied here offer a system to further explore features which control IAPP toxicity.
Keywords: Amylin, Amyloid, Ion Mobility Mass Spectrometry, Islet Amyloid Polypeptide, Metabolic Disease, Type 2 Diabetes
Graphical Abstract
INTRODUCTION
More than 30 human diseases, including Alzheimer’s disease and type 2 diabetes, involve the misfolding of normally soluble proteins into β-sheet rich amyloid fibrils1-3. In type 2 diabetes, the neuropancreatic hormone islet amyloid polypeptide (IAPP, also known as amylin) aggregates to form amyloid deposits in the islets of Langerhans. IAPP is synthesized in the pancreatic β-cells and co-secreted with insulin in response to the same stimuli 4-7. IAPP normally works in concert with insulin to regulate glucose metabolism and energy storage, but aggregates by an unknown mechanism in type 2 diabetes. Although IAPP amyloid formation is not believed to be the cause of type 2 diabetes, it contributes to β–cell death and dysfunction in the disease and has been shown to be a critical contributor to the failure of islet transplants5, 7-14. Type-1 diabetes involves the destruction of the β–cells and thus insulin and IAPP have traditionally been thought to be absent in the disease. However, recent work reveals that some β-cells remain in the early stages of some forms of type-1 diabetes and IAPP amyloid formation has been suggested to contribute to the loss of β-cells in type-1 diabetes15-17.
Not all species develop type 2 diabetes, and not all species form islet amyloid in vivo18-21. To date, there is a one-to-one correlation between the in vitro amyloidogenicity of an IAPP sequence and whether an organism develops type 2 diabetes. Mouse and rat IAPP (rIAPP) have identical sequences and are not amyloidogenic in vitro, except at very high concentrations. Neither rats nor mice develop type 2 diabetes, nor are there any reports of islet amyloid in non-transgenic rats or mice, although rats and mice transgenic for hIAPP develop islet amyloid and type 2 diabetes7, 21-23. The rodent sequences differ from human IAPP (hIAPP) at only six positions: H18R, F23L, A25P, I26V, S28P, and S29P (Figure 1). The F23L mutation has only a modest impact on hIAPP amyloid formation and the I26V substitution is very conservative. Particular attention has been focused on the three proline residues and an IAPP analog containing these three substitutions (Pramlintide, also known as Symlin) has been approved for clinical use24, 25. Pramlintide is non-toxic and is not amyloidogenic expect at very high concentrations, far above those used clinically or used for formulation26. However, it is not known if each of the prolines make similar contributions to the lack of amyloidogenicity and cytotoxicity of Pramlintide and rIAPP.
While Pramlintide is approved for clinical use, it still suffers from solubility issues and cannot be co-formulated with commercial insulin formulations. This has generated considerable interest in the design of next generation analogs of human IAPP (hIAPP)5, 20. Deducing the relative importance of each proline replacement will aid in the design process and will also provide important clues about the factors which control amyloidogenicity and toxicity.
In this work we analyze the roles of each individual proline substitution and all double proline analogs. The work reveals both the plasticity of IAPP amyloid formation and remarkable sequence specific effects. Striking differences between the effects of an S28P and S29P substitution on amyloidogenicity and toxicity are observed. The effects of the A25P replacement lie between those of the two Ser to Pro replacements. Double analogs containing an S28P substitution are less amyloidogenic and less toxic than the IAPPA25P S29P double analog. The data reveals the sequence sensitivity of IAPP amyloidogenicity and toxicity and highlights the key role of the S28P substitution. Previous studies have revealed sequence specificity in hIAPP involving the Asn residues. Asn21 and Asn22 exhibit sequence specificity with Asp substitutions, where the substitutions result in a non-aggregating (N21D) and amyloidogenic (N22D) variant29. Asn to Leu substitutions at positions 21 and 22 have also shown similar specificity30.
The data set described in this work also provides a test of algorithms developed to correlate amyloidogenicity and sequence. The details of the rank order of the time to form amyloid is not predicted by many of the popular methods used to analyze amyloidogenicity. Ion-mobility mass spectrometry (IM-MS) is employed to probe the conformational propensities of the various peptides in order to test if there is a correlation between conformational properties of monomers, dimers and amyloidogenicity. No significant conformational differences are observed at the level of the collision cross sections (CCS) for a given oligomer charge state between the different variants.
MATERIALS AND METHODS
Peptide Synthesis and Purification
Human IAPP and the six proline variants were synthesized on a 0.10 mmol scale using 9-Fluorenylmethyloxycarbonyl (Fmoc) chemistry with a CEM Liberty Blue peptide synthesizer. Fmoc-PAL-PEG-PS resin (0.18mmol/eq) was used to afford a C-terminal amide. Pseudoprolines derivatives were used as previously described to prevent aggregation during synthesis31, 32. The first residue attached to the resin, beta branched amino acids, arginine, and all pseudoproline dipeptide derivatives were double coupled. A trifluoroacetic acid (TFA) based cocktail (92.5% TFA, 2.5% triisopropylsilane, 3,6-Dioxa-1,8-Octanedithiol, and 2.5% H2O) was used to cleave synthesized peptides from the resin and scavenge side chain protecting groups. Crude peptides were dissolved in 20% acetic acid (4mg/mL) and lyophilized. Peptides were oxidized to form a disulfide bond between residues Cys2 and Cys7 in 100% dimethyl sulfoxide (DMSO) at a concentration of 10mg/ml on a shaker at room temperature for three days. Peptides were purified using reverse-phase HPLC (RP-HPLC) (Higgins Analytical C18 preparative column, 25mm x 250mm), utilizing a gradient elution composed of buffer A (100% H2O and 0.045% HCl) and buffer B (80% Acetonitrile, 20% H2O, and 0.045% HCl). Purified peptides were lyophilized. HCl was used as a counterion instead of TFA, as TFA can affect the rate of amyloid formation as seen in thioflavin-T kinetic assays and can affect cell toxicity experiments33. A second HPLC purification was used to remove residual cleavage scavengers as well as residual TFA. 1,1,1,3,3,3-hexafluoroisopropanol (HFIP) was used to dissolve dry peptide for the second purification. Matrix assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry and analytical HPLC were performed to confirm the mass and the purities of the peptides respectively: hIAPP (WT), expected 3903.6, Da observed 3904.1 Da; IAPPA25P, expected 3929.4 Da, observed 3930.6 Da; IAPPS28P, expected 3913.4 Da, observed 3914.9 Da ; IAPPS29P, expected 3913.4 Da, observed 3914.8 Da; IAPPA25P S28P, expected 3939.4 Da, observed 3937.5 Da; IAPPA25P S29P, expected 3939.4 Da, observed 3941,6 Da; IAPPS28P S29P, expected 3923.4 Da , observed; 3924.8 Da.
Preparation of Peptide Stock Solutions
Purified peptides were dissolved in neat HFIP to a target concentration of 0.8 mg/mL and allowed to stand at room temperature for 4 hours. Peptide stocks were filtered using a 0.22 μm Millex low protein binding durapore membrane filter. 10 μL aliquots of stock were lyophilized for 24hrs and reconstituted in buffer to determine the concentration of the original HFIP stock solution. Concentration was determined using the absorbance at 280 nm. Aliquots for thioflavin T assays were lyophilized for 24 hrs in order to remove residual HFIP.
Fluorescence Assays
Thioflavin T kinetic assays were performed to monitor kinetics of amyloid formation using a Molecular Devices SpectraMax Gemini EM microplate reader, measured with 450 nm excitation and 485 nm emission. Experiments were conducted at 25°C without shaking. Peptides were resuspended in 10 mM Phosphate buffer with 140mM KCl, pH 7.4 Final peptide concentrations were 16 μM, and the Thioflavin-T concentration was 32 μM. This chosen concentration of Thioflavin-T has been previously shown to have no effect on the rate of amyloid formation by IAPP34, 35. Samples were loaded in a 96-well clear bottom plate with a non-binding coating and each sample was run in triplicate. Unused wells were filled with buffer and sealing tape was used to prevent evaporation. It has been shown that the rate of sampling can affect the rate of amyloid formation in plate reader experiments36. The effect arises from the different amount and frequency of agitation induced by the movement of the plate reader carriage during sampling. For all ThT assays, all 96 wells were read, with sampling occurring at ten minute intervals.
Transmission Electron Microscopy
Transmission electron microscopy (TEM) was used to confirm presence or absence of amyloid fibrils. Images were taken at the Life Sciences Microscopy Center at Stony Brook University. 15 μl aliquots taken from ThT kinetic assays at the end of the experiment were loaded on Carbon-coated Formvar 300 mesh copper grid for one minute. The aliquot was blotted and one drop of 2% uranyl acetate was placed on the grid for one minute to negatively stain the sample.
Cytotoxicity Assays and Measurement of EC50 Values
INS-1 cells were purchased from AddexBio and cultured with optimized RPMI-1640 (AddexBio, #C0004-02) medium supplemented with 10% ultra-low IgG FBS (Gibco, #16250078). Alamar Blue (Generon, #MBS238967), CellTiter-Glo 2.0 (Promega, #G9242) and CellTox Green (Promega, # G8741) assays were used to evaluate the cytotoxicity of hIAPP and variants towards INS-1 cells. Briefly, the evaluation of cytotoxicity was performed as follows. Cells were seeded at 6,000-7,000 cells per well (~50% confluence) on a 96-well half-area clear bottom white plates (Greiner, #675083) and incubated for 36 hrs in 5% CO2 humidified incubator at 37°C. Serial dilutions of the peptides were freshly prepared before use from lyophilized peptide aliquots. Cells were exposed to varying concentrations of peptide diluted in fresh complete medium for 24 hrs. For CellTiter-Glo 2.0 assays, culture plates were cooled to RT and an equal volume of the assay reagent was added to the treated cells. The plates were vigorously (700 rpm) shaken for 1 min and luminescence intensity was measured using a Clariostar plate reader. For the CellTox Green assay, the cells were exposed to the tested peptide in presence of the assay dye (1:5000 dilution) for 24 hrs before fluorescence intensity was measured (480 nm excitation and 525 nm emission). Statistical analysis and calculation of EC50 values were completed using Graph Pad Prism 5.
Ion Mobility Mass Spectrometry (IM-MS)
Lyophilized peptides were dissolved in 100 % LC-MS grade DMSO at a concentration of 3.2 mM and incubated for 24 hrs at room temperature. Samples were directly infused into a Synapt G1 (waters Corp, UK). Prior to direct infusion samples were diluted 100-fold using 100 mM ammonium acetate pH 7.5. The 350-5000 m/z range was calibrated using cesium iodide clusters in water. Collision cross section (CCS) calibration was performed on the day of data collection, using a mixture of synthetic homopolymer poly-ethylene oxide (PEO) (5M PEO, 10M NaCl in LC-MS grade methanol) and peptides from equine cytochrome C digested by trypsin (0.5 mg/mL in 49/49/2 (v/v) % of water/methanol/acetic acid solution)37-39. CCS calibration was performed as previously described (Figure S4-S6)40. Peak top values were initially picked manually and converted into CCS values. In addition, a Python script was written in order to find peak tops by relative maxima and convert arrival time into CCS and, in order to accelerate data analysis. Comparison of monomer and dimer populations where performed by fitting populations using FitYK. Reported CCS values are calculated from reduced mobilities in nitrogen, using helium CCS calibrant values, or TWCCSN2→He2, according to recently published recommendations41. Measurements were performed in triplicate on different days.
Photoinduced Crosslinking Studies
Photochemical induced crosslinking of unmodified proteins (PICUP) was performed as previously described12. Peptides were cross linked using Tris(bipyridyl )Ru(II) in the presence of ammonium persulfate. Peptides were reconstituted in pH 7.4 PBS and centrifuged at 18,000g for five minutes For a given reaction, 15μL of 40uM peptide was mixed with 2.5μL of Ru(II), 2.5μL APS, and quenched with a 10uL aliquot of sample buffer with 5% beta-mercaptoethanol. Final relative molar concentrations of reagents were 1 / 3.5 / 70 peptide / Ru(II) / APS. After the reaction was quenched, the quenched samples were placed on a heat block at 90°C for five minutes prior to loading. A 10-20% acrylamide Tris / Tricine gradient gel was used to separate oligomeric species, visualized using silver staining (SilverXpress, Invitrogen). Densitometry was carried out using gelanalyzer2010a software.
Fractional SASA Calculations
The fractional solvent accessible surface area (SASA) of residues of interest were determined using:
Tripeptide SASA values were calculated using Maestro (Schrodinger), and sidechain SASA in the fibril models for the Tycko and Eisenberg structures were calculated using VMD. Tripeptides corresponding to residues 24-26, 27-29 and 28-30 of IAPP were constructed in a fully extended conformation for use as a reference state. Fractional SASA values are reported as a range for the Tycko model, as monomers in the fibril layer are not perfectly symmetric.
RESULTS
Residues 25, 28 and 29 are found in unique environments in the human IAPP amyloid fibril
Two high resolution models, based upon experimental data, are available for the human IAPP amyloid fibril; one is based on x-ray structures of small peptide fragments of IAPP (Eisenberg model) and the second is based on solid state NMR studies (Tycko model)27, 28. Analysis of both models reveals that the site of each proline substitution is in a unique environment in the amyloid fibril.
The two models share many common features, but do have some differences. Both agree that each layer of a fibril filament is composed of two U-shaped IAPP monomers in a symmetric structure, with no intra-peptide backbone hydrogen bonding (Figure 1). Backbone hydrogen bonds are formed between adjacent IAPP molecules in the same stack, while sidechain-sidechain hydrogen bonds and tight packing of sidechains occurs between the two adjacent stacks. There are no backbone hydrogen bonds between the two symmetry related stacks. The interface between the two columns is tightly packed and, in the X-ray based model, encompasses residues 23 to 37 (Figure 1). The Tycko model defines the two β-strands as being composed of residues 8 to 17 and 26 to 36 while the Eisenberg model, based on peptide crystal structures, orders the strands from residue 7 to 18 and 25 to 36 respectively. A25 is located at the start of the second β-strand in the Eisenberg model and projects outwards in proximity to N35 of the other IAPP monomer in the same layer and L27 of the same monomer. In the Tycko model, A25 is in the partially disordered loop region, but in proximity to N14 and L16 of the same IAPP monomer. A25 lies at the interface between the two stacks rather than in the interior of a stack. In both models, S28 and S29 are located in the C-terminal β-strand. S28 projects towards the N-terminal strand of the same monomer, in proximity to L12 and A14 and T30 and is buried with the core of the stack. The neighboring S29 residue projects outward from the stack and makes contacts with residues in the other monomer in the stack, including S29 and N31 located in the C-terminal β-strand of the neighboring IAPP monomer. S29 is part of the steric zipper interface in the Eisenberg model. Thus S29, like A25, is an interfacial residue (Figure-1). The S28 and S29 sidechains in a given peptide also form a network of interactions with the same residue in chains immediately above and below in the same stack. These are reminiscent of the network of interactions formed by Asn and Gln sidechains which are thought to stabilize amyloid fibers42, 43. The fractional solvent accessibility of the A25, S28 and S29 sidechains in the fibril were calculated, defined relative to a tripeptide with composition corresponding to the local sequence in an extended conformation. A25 is 2% to 9% exposed in the Tycko model, and 0% in the Eisenberg model. The fractional solvent accessibility of the S28 and S29 sidechains are 1% to 30% and 8% to 18% respectively in the Tycko model and 2% and 0% respectively in the Eisenberg model. All three residues populate the allowed regions of the Ramachandran plot.
Design of IAPP variants to study the of role proline substitutions in rIAPP
A library of peptides was synthesized to study the role that each proline substitution found in rIAPP plays in mitigating amyloidogenicity and β-cell cytotoxicity. Three variants were prepared with each of the single proline substitutions found in rIAPP (IAPPA25P, IAPPS28P, IAPPS29P), as well as three variants encompassing all possible permutations of double proline substitutions (IAPPA25P S28P, IAPPA25P S29P, IAPPS28P S29P).
Proline substitutions have strikingly different effects and the S28P substitution has the largest impact on amyloid formation
The time course of amyloid formation was determined using fluorescence monitored thioflavin-T (ThT) binding assays. ThT is an extrinsic dye whose fluorescence increases upon binding to amyloid fibrils. This dye provides a convenient method to follow amyloid formation, but can lead to false positive and negative results in some cases44, 45. However, ThT assays have been shown to reliably report on the time course of hIAPP amyloid formation under the conditions of our studies35. There is no clear relationship between the intensity of the ThT signal and the quantity of amyloid fibrils formed as mutations or changes in solution conditions may alter the affinity of the dye for the fibrils, or alter the lateral association of proto-fibrils and fibrils which, in turn, could lead to differing amounts of fibril surface exposed for dye binding. In addition, the dye may bind in subtly different conformations to different amyloid fibrils which could impact its quantum yield. Thus, we do not interpret the final ThT fluorescence intensities quantitatively and TEM was used to confirm the presence or absence of amyloid fibrils in every sample.
Several of the variants studied showed ThT curves indicative of typical amyloidogenic proteins, while others did not display any gain in fluorescence signal over the time course of the study (one week). Both the A25P and S29P formed amyloid as judged by TEM and ThT assays even though both residues participate in the interface between the two stacks of monomers in the fiber. Striking differences were observed between the effects of a Ser to Pro replacement at positions 28 and 29. Under the conditions studied, hIAPP as well as IAPPA25P and IAPPS29P showed an increase in ThT fluorescence over the time course of the studies, but IAPPS28P did not. Wild type hIAPP and IAPPS29P aggregated appreciably faster than IAPPA25P, as determined by T50, the time required to reach half the maximum ThT fluorescent intensity. IAPPS29P aggregated on a time scale comparable to hIAPP, with a T50 of 6.7 ± 0.4 hours, compared to the T50 value of 6.4 ± 1.6 for hIAPP. IAPPA25P formed amyloid more slowly having a T50 value of 42.8 ± 0.5 hours. The S28P substitution had the most dramatic effect and IAPPS28P did not show an increase in ThT fluorescence during the full seven days of the kinetic experiment. TEM imaging confirmed the presence of fibrils in all samples that were found to be amyloidogenic by ThT assays and confirmed their absence in the IAPPS28P sample. Some of the EM grids contained material which could result from amorphous aggregates. We were unable to detect any differences in fibril morphology at the level of the TEM images among those samples which did form amyloid. The final ThT intensity observed for the IAPPA25P sample was noticeably less than that observed for hIAPP or for the S29P analog. However dense mats of typical amyloid fibrils were clearly visible in the TEM images of the IAPPA25P sample (Figure 2). The reason(s) for the differences in final ThT intensity are not known and, for the reasons outlined above, we believe it is problematic to speculate on their origin. Nonetheless, the key observation is that behavior of the A25P variant lies between that of the S28P and S29P analogs. The rank order of the effect of the analogs upon amyloid formation was S28P>A25P >> S29P. The reduced final ThT intensity for the A25P variant suggests that the fibril superstructure is different for this analog and that these changes lead to either reduced ThT binding or to a change in the structure of the bound ThT that reduces its quantum yield.
Of the variants containing two Pro substitutions, IAPPA25P S29P was the only one to show an increase in ThT fluorescence for experiments conducted at16uM peptide concertation, with a T50 value of 16.2 ± 1.0 hours. TEM measurements confirmed the presence of amyloid fibrils formed by this peptide. Variants containing the S28P substitution (IAPPA25P S28P and IAPPS28P S29P) showed no increase in ThT fluorescence over the one week course of these studies, and amyloid was not detected in TEM samples from these samples (Figure 3). These results, together with the studies of the IAPPS28P variant, clearly show that the S28P mutation plays the largest role in mitigating hIAPP amyloidogenicity. All variants which lack the S28P mutation have T50 values within 6.7-fold of human IAPP under the conditions of our experiments.
The rate of amyloid formation is concentration dependent, thus variants that did not show an increase in ThT fluorescence at 16 μM peptide concentration were examined at a higher peptide concentration (100 μM) in an effort to detect amyloid formation. (Figure S1). Under these conditions, IAPPS28P has a T50 7.1 ± .3 hours, and IAPPA25P S28P 13.4 ± 1.2 hours (Table 1). IAPPS28P S29P still did not show an appreciable increase in ThT fluorescence over the time course of the experiment. TEM imaging confirmed the presence of fibrils in the high concentration IAPPS28P and IAPPA25P S28P samples. Multiple kinetic curves from samples run in triplicate are shown in the supporting information (Figure S2), along with plots that include expanded x-axes for the amyloid forming proline variants. The final ThT fluorescence values at saturation and slope of the curves at the midpoint(T50) are provided in the supporting information.
Table 1.
Peptide | T50 (hrs) ± Std. Dev. |
---|---|
hIAPP | 6.4 ± 1.6 |
IAPPA25P | 42.8 ± 0.5 |
IAPPS28P | N/A |
IAPPS29P | 6.7 ± 0.4 |
IAPPA25P S28P | N/A |
IAPPA25P S29P | 16.2 ± 1.0 |
IAPPS28P S29P | N/A |
Algorithms designed to predict amyloidogenicity capture general trends of proline substitution effects, but not the details
A number of algorithms have been developed to predict amyloidogenicity, based on different physiochemical features of polypeptides, or based on the predicted ability of sequences to form steric zipper segments46-50. The seven variants studied here, wild type and the six analogs, provide an opportunity to examine the applicability of these methods to predict the relative time course of amyloid formation by IAPP variants. The analogs form an interesting test case since they contain similar mutations and, in some cases, involve Ser to Pro substitutions one residue apart. We used five popular methods to compared hIAPP and the set of analogs.
The computational methods chosen show clear differences in the predicted amyloidogenic regions of the proline analogs when compared to the wild type sequence. ZipperDB, which uses a six residue sliding window to evaluate fragments that have the potential to form steric zippers, indicates that proline substitutions significantly disrupt steric zipper propensity in the 20-29 region (Table 2, Figure S3)46. In contrast, the wild type sequence exhibits the strongest scoring in the 20-29 region. While this method predicts that any of the proline substitutions diminishes the ability to form steric zippers, the results did not correlate with the trends observed in the kinetic assays. IAPPS29P was predicted by ZipperDB to have the largest effect of the single proline variants in diminishing steric zipper formation, yet IAPPS29P aggregates at a rate similar to hIAPP. WALTZ is a program that predicts amyloidogenic regions of peptides47. For hIAPP, WALTZ predicts the 22-29 region to be amyloidogenic. For IAPPS28P, IAPPS29P, and IAPPS28PS29P, WALTZ indicates the 22-27 region is amyloidogenic (Table 2, Table S1). For all variants containing the A25P substitutions, WALTZ does not predict any amyloid forming region in the peptide. Overall, WALTZ suggests that the A25P substitution will have a larger effect than either of the Ser to Pro substitutions. TANGO is a method that predicts amyloidogenicity by determining the likelihood of β-sheet formation48. TANGO predicts that all proline substitutions will be less amyloidogenic than hIAPP (Table 2, Table S2), with the A25P and S28Preplacement predicted to have a larger effect than a S29P substitution. hIAPP is predicted by TANGO to have the highest propensity to form amyloid, with S29P hIAPP scoring only slightly lower. Both PASTA and AGGRESCAN predict that the A25P replacement will have the largest effect on amyloid formation (Table 2, Table S3, Table S4). PASTA is based on evaluating pairwise amino acid contacts within the peptide, in the framework of favorable pairwise interactions that lead to increased stability of beta sheets49. AGGRESCAN identifies amyloid forming regions based on the amyloidogenic propensity of individual amino acids50. Both methods predict that each of the proline variants are less amyloidogenic than hIAPP. However, PASTA and AGGRESCAN rank the S28P-hIAPP and S29P-hIAPP analogs equally and ranks them as being only slightly less amyloidogenic than hIAPP, in contrast to the experimental kinetic observations.
Table 2.
In summary, all of the programs examined predicted that any of the three proline substitutions will lead to a reduction in amyloidogenicity compared to hIAPP. However, most programs predict A25P to have the largest impact of any point substitution, whereas kinetic assays show that the S28P substitution has the largest effect. TANGO, PASTA, and AGGRESCAN predict the S29P substitution to have minimal impact on amyloid formation, but only TANGO predicted the S28P substitution to have a larger effect than S29P. Double proline substitutions generally ranked less amyloidogenic than single proline substitutions.
The effects of the IAPP analogs on cytotoxicity correlate with their effects on amyloid formation.
Dose response experiments were conducted to monitor the effect of hIAPP and variants on cell viability using two independent assays. INS-1 cells, a standard pancreatic rat β-cell line, were used for these studies. Two assays were used to assess cytotoxicity; The CellTiter-Glo assay measures global cellular ATP levels (Figure 4A, B), while the CellTox Green assay reports on membrane integrity by exposing cells to a dye that crosses the cell membrane of compromised cells and binds to DNA (Figure 4C, D).
The effective concentration to generate 50% of the response, EC50, was determined for each peptide using both assays (Table 3). hIAPP was toxic to INS-1 cells under all conditions studied, with EC50 values ranging from 27.0 μM to 48.1 μM depending upon the assay used. All single proline variants elicited a cytotoxic response. IAPPS28P was noticeably less cytotoxic than the other single analogs, showing no change in cell viability at concentrations up to 100 μM, while IAPPA25P and IAPPS29P showed stronger effects on cytotoxicity. IAPPS28P had EC50 values approximately four to five-fold higher than hIAPP. Of the double proline analogs, the only variant that showed cytotoxic properties below 150 μM was IAPPA25P S29P. Insufficient toxicity was detected at the highest concentration (300 μM) to allow determination of the EC50 value for the IAPPA25P S28P and IAPPS28P S29P double analogs. The CellTox Green assay confirms that a loss of membrane integrity occurs along with the metabolic dysfunction detected by the CellTiter-GLO assay. However, the EC50 for membrane permeabilization occurs at lower peptide concentrations than the EC50 values deduced from the assays which monitor ATP production.
Table 3.
CellTiter-Glo | CellTox Green | |||
---|---|---|---|---|
EC50 (μm) | SEM | EC50 (μm) | SEM | |
hIAPP | 48.1 | 3.3 | 27.0 | 2.1 |
IAPPA25P | 61.2 | 2.0 | 42.1 | 5.5 |
IAPPS28P | 164.4 | 30.8 | 136.4 | 8.2 |
IAPPS29P | 53.0 | 3.9 | 28.8 | 2.5 |
IAPPA25P S28P | N/A(1) | N/A | N/A(1) | N/A |
IAPPA25P S29P | 46.4 | 1.3 | 31.4 | 5.6 |
IAPPS28P S29P | N/A(1) | N/A | N/A(1) | N/A |
Insufficient toxicity was detected at the highest concentration (300 μM) to allow determination of EC50
Ion Mobility Mass Spectrometry analysis shows that there are no significant differences in the conformations of monomers and dimers based on collision cross section measurements
It is very difficult to structurally interrogate the species present in solution during amyloid formation given their transient nature and polydispersity, so we employed ion mobility-mass spectrometry (IM-MS) to probe the conformation of dimers and monomers formed by human IAPP and the different variants. IM-MS allows the separation of ions as they travel through a drift tube filled with an inert gas, in our case nitrogen. As ions travel through the drift tube, their velocity is reduced through collisions with the drift gas. The reduced mobility of ions can be used to calculate the collision cross-section (CCS) of the analyte ion and is often expressed in nm2 or Å2 51. If protein ions of the same mass and charge exhibit different conformations, the one with a more extended conformation will experience a greater number of collisions with the gas and have a larger CCS than the one with the more compact conformation.
Pioneering IM-MS analysis of IAPP variants and other amyloidogenic proteins has been carried out in the past52-61. Previous work has detected differences in conformational behavior and stability between human and rat IAPP using IM-MS52, 54. Here we analyzed the tendency of the IAPP analogs to form lower order oligomers and measured their CCS to explore any relation between conformation and amyloidogenicity and toxicity.
All analogs were found to form a mixture of monomers and dimers (denoted as n+z where n is the oligomeric state and z is the charge, Figure 5). The charge state was calculated for each mobility separated species using their corresponding isotopic peak envelope. m/z values corresponding to higher order oligomeric species could be seen in some cases, but there was not sufficient mass resolution to calculate the charge and hence assign mass. Our spectra are similar to those reported previously, however based on the isotope distributions we assign the species at 1950 m/z as being a mixture of 1+2 and 2+4, rather than purely monomeric 54-57, 60, 61. Assigning the oligomer nature of each CCS species was achieved by extracting the corresponding mass spectrum for each species and examining the isotopic spacing in the mass spectrum.
IM-MS analysis showed that all analogs have broadly similar CCSs (Figure 6A), however, there are some differences. Two species were observed for the 1+4 species for all peptides, however the extended 1+4 species formed by IAPPS28P-S29P is more compact (by approximately 8 to 9%) than in other constructs (Table 4). There is no correlation between the CCS values of the extended 1+4 species and the EC50 values. The 2+5 state of the IAPPS29P and IAPPA25P-S28P ions occupy single conformations, rather than the two observed for other peptides. Again, there is no clear correlation between CCS values and amyloidogenicity or toxicity for either the 2+4 or 2+5 species. We also used a metric known as the intensity weighted standard deviation of the CCS distribution (IWSDCCS), which has been used as a complementary statistic to track unfolding in collision induced unfolding experiments and which provides a simple description regarding the width of a CCS distribution62. All monomeric species have similar IWSDCCS values, however the dimers display different behavior (Figure 6B), it appears that the IAPPA25P dimer has a wider CCS distribution than the other analogs. However, the important point is that we can find no clear relationship between either the CCS values or IWSDCCS of the analogs and propensity to form amyloid fibrils or cellular toxicity. Using our assignments of the spectra we compared the area under the curve (AUC) of dimeric vs monomeric populations for the mixed dimeric/monomeric peak (~1950 m/z). We find no relationship between either T50 or EC50 and the relative abundance of dimeric vs monomeric populations for the peptides studied (Figure S7). An avenue for future investigation could involve exploiting new generation, high resolution IM-MS instruments and tandem ion mobility experiments that can further separate sub-populations present in very similar CCS distributions63.
Table 4.
Construct | 1+2 | 1+3 | 1+4 | 2+4 | 2+5 |
---|---|---|---|---|---|
A25P | 545.2 ± 4.4 | 550.0 ± 7.8 | 666.7 ± 13.1 | 880.0 ± 2.3 | 983.1 ±32.1 |
551.7 ± 13.4 | 883.6 ± 14.6 | ||||
S28P | 544.5 ± 5.2 | 546.5 ± 5.7 | 675.0 ± 1.3 | 881.8 ± 2.1 | 981.3 ± 3.7 |
544.7 ±14.4 | 859.5 ± 0.0 | ||||
S29P | 552.5 ± 3.9 | 542.8 ± 10.5 | 672.3 ± 4.4 | 885.1 ± 8.8 | 937.4 ± 9.1 |
544.7 ± 14.4 | |||||
A25P-S28P | 550.5 ± 3.8 | 542.9 ± 7.9 | 680.2 ± 12.7 | 881.9 ± 2.8 | 878.5± 13.4 |
537.7 ± 9.6 | |||||
A25P-S29P | 551.8 ± 3.1 | 546.5 ± 4.8 | 665.9 ± 26.3 | 896.1± 2.3 | 1004.7 ± 2.9 |
544.7 ± 14.4 | 890.7± 10.1 | ||||
S28P-S29P | 553.3 ± 5.9 | 551.7 ± 8.4 | 616.6 ± 7.0 | 885.2 ± 4.6 | 979.9 ±10.2 |
544.7 ± 14.4 | 929.3 ± 15.4 | ||||
hIAPP | 544.7 ± 4.6 | 551.1 ± 8.1 | 673.0 ± 11.4 | 864.0 ± 9.9 | 1005.9 ± 10.4 |
552.9 ± 12.2 | 863.0 ± 21.1 |
To complement to these studies, we performed photochemical crosslinking (PICUP) on IAPP using the methods developed by Bitan and Teplow64. Previous work performed on hIAPP and non-amyloidogenic rat IAPP showed that rapid oligomerization occurs in solution, with a distribution of monomers to hexamers observed12. PICUP studies of the proline variants reveals similar features to previous studies of IAPP and non-aggregating IAPP variants (Figure S8). Distributions of oligomeric species are broadly similar for the proline substituted variants, with the exception of IAPPA25P, which showed a tendency to occupy lower order oligomers than hIAPP or the other proline variants.
Discussion
Rat IAPP has been extensively studied as an example of a mammalian IAPP sequence that does not form amyloid or elicit a cytotoxic response in cultured β-cells. The data presented shows that the S28P substitution has the largest impact of the three proline substitutions found in rIAPP, in reducing both amyloidogenicity and cytotoxic. In contrast, an identical Ser to Pro substitution just one residue away at position 29 showed minimal reductions in amyloidogenicity and cytotoxicity despite the fact that S29P is located in the interface between the two stacks of IAPP molecules in the amyloid fiber and is part of the steric zipper interface. The A25P substitution had a prolonged T50 relative to wild type, but a modest effect on cytotoxicity. The effects of the A25P substitution and the S29P replacement on the time to form amyloid is consistent with prior studies conducted at higher concentration that lead to the proposal that IAPP amyloid formation involves an on pathway, transient, β-sheet intermediate involving the FGAIL region, and possibly more residues65, 66. The transient β-sheet is formed in the intermediate, but needs to be disrupted to generate the final fiber structure and the lag time is controlled by the conformational transition of this oligomer intermediate into a structure compatible with the fiber. Within the context of this model, proline substitutions should destabilization the intermediate as they disrupt β-sheet structure. The A25P substitution should destabilize this intermediate as it is in the middle of the FGAIL region and thus lead to a longer lag time if the intermediate is on pathway. However, the relatively modest effect upon IAPP toxicity suggests that the intermediate may not be essential for toxicity. Additionally, IAPPA25P showed a tendency to occupy lower oligomeric states than other variants. The studies which lead to the model directly probed the FGAIL region, but positions 28 and 2965. The results with the S28P substitution suggest that S28 is part of the transient β-sheet or that residues outside of the putative β-sheet intermediate play a significant role in modulating amyloidogenicity. The results with the S29P variant argues that this site is outside of the critical region of the β-sheet intermediate.
The IM-MS studies reveal that there is no detectable correlation between gas phase structure as judged by the CSS and the kinetics of IAPP amyloid formation. The structural features which lead to the significant variation in lag times are either not manifested in the conformations of the monomer and dimers or are too subtle to be detected via the CCS measurements.
Overall, while the general trends of proline substitutions on the time to form amyloid were predicted by the amyloid prediction algorithms examined in this study the methods did not reproduced the exact order. The A25P substitution was predicted to have the largest effect on amyloid formation by four out of five methods, in contrast to the experimental results, however both A25P and S28P were predicted to have the largest impact on amyloid formation. Additionally, double proline substitutions were scored less amyloidogenic than single proline substitutions. Thus, the existing algorithms do not capture all of the details.
It is also interesting to compare the experimental results to the results of molecular dynamics simulations67-69. Recent work has shown that standard force fields with standard water models often lead to overly compact ensembles for IDP’s and unfolded protein states, although this issue is being addressed70-74. Individual MD methods can also have unique biases for local structure, thus we believe caution is warranted when interpreting the results of MD simulations of IAPP. Molecular dynamics studies of IAPP fragments have previously suggested A25P to be responsible for rIAPP’s non-amyloidogenic properties by means of its disruption of a beta turn, while other molecular dynamics studies have suggested that the S28P substitution promotes a local helical conformation67, 68. This stabilized helix structure was hypothesized to prolong aggregation by preventing the formation of local β-sheet structure. Additionally, it has been proposed that the S28P mutation effects compaction of the IAPP monomer, although we do not detect this in our IMS-MS studies69. The experimental work presented here shows that MD simulations are not yet at a point where they can precisely capture features that accurately predict IAPP amyloidogenicity. We hope that the data presented here will aid efforts to validate simulations of IAPP.
Cell viability assays results showed that IAPPS28P, as well as double analogs containing a S28P substitution exhibit a significant reduction in cytotoxicity in contrast, variants which lack the S28P substitution exhibit a smaller reduction in cytotoxic. Particularly interesting is the comparison of the S28P and S29P substitutions. These identical replacements located immediately adjacent to each other have vastly different effects on toxicity. Doubly substituted variants containing the S28P replacement were the least cytotoxic, showing minimal changes in metabolic health and minimal membrane disruption at concentrations up to at least 250 μM; the EC50 value of the S28P, S29P double analog is clearly greater than 300 μM. The demonstration that the S28P replacement has the largest impact on reducing cytotoxicity will prove useful in the design of next generation soluble hIAPP variants. Comparisons of the two cytotoxicity assays provides addition insight into IAPP mediated cytotoxicity. The data indicates that the cell membrane is permeabilized at lower concentrations than needed to significantly disrupt overall cell health (as judged by global ATP levels). The studies reported here involve studies as a function of peptide concentration, but do not provide time resolved information, thus we formally cannot determine if membrane permeabilization is up stream of the disruption of overall cell health.
The observation that the A25P substitution and the IAPPA25P S29P double analogs have only a modest effect upon toxicity, but significantly prolong the lag phase, while still forming amyloid indicates that they could be very useful model systems for interrogating the conformational propensities of toxic IAPP oligomers. The longer lag phase should help facilitate structural studies. For example, comparative structural studies of the S28P and S29P single analogs and comparative studies of the S28P S29P double and A25P, S29P double analogs may provide more insight into the features which link sequence to amyloidogenicity and toxicity and are the subject of future work. Such studies are outside the scope of the current work.
Overall the work reveals the plasticity of IAPP amyloid formation in that the polypeptide can still form amyloid even when two residues in the interface between the two stacks of monomers are replaced with proline. From another perspective, the comparative studies of the effects of S28P and S29P replacements in the double and single analogs reveal the pronounced sequence sensitivity of IAPP toxicity and amyloidogenicity and provide insight into the rational design of non-amyloidogenic non-toxic variants of human IAPP.
Supplementary Material
Acknowledgements.
Support from US National Institutes of Health grant GM078114 and Wellcome Trust award 107927/Z/15/Z and a BBSRC iCASE PhD studentship (CH) with Waters BB/L015382/1. ZR was supported in part by a GAANN fellowship from the US Department of Education. The IM-MS spectrometry was purchased via Wellcome Trust Multiuser equipment grant 104913/Z/14/Z to KT.
Abbreviations:
- CCS
collision cross section
- EC50
the concentration required to achieve 50% of the effective in a IAPP toxicity assay
- Fmoc
Fluorenylmethyloxycarbonyl
- HPLC
high performance liquid chromatography
- hIAPP
human islet amyloid polypeptide
- rIAPP
rat islet amyloid polypeptide
- IAPPA25P
an A25P analog of hIAPP
- IAPPS28P
an S28P analog of hIAPP
- IAPPS29P
an S29P analog of hIAPP
- IAPPA25P S28P
an A25P S28P analog of IAPP
- IAPPA25P S29P
an A25P S29P analog of IAPP
- IAPPS28P S29P
an S28P S29P analog of IAPP
- IM-MS
ion-mobility mass spectrometry
- IWSDCCS
the intensity weighted standard deviation of the CCS distribution
- SASA
solvent accessible surface area
- TEM
transmission electron microscopy
- T50
the time required to reach half the maximum thioflavin-T fluorescent intensity
- ThT
thioflavin-T
Footnotes
Supporting Information Supporting Information is available free of charge on the ACS publications website at DOI: https://doi.org/10.1021/acs.biochem.9b01109
A table of predicted amyloidogenic regions of hIAPP and variants as calculated by the WALTZ algorithm. A table of the calculated aggregation propensities of hIAPP and variants as calculated by the TANGO algorithm. A table of the calculated aggregation propensities of hIAPP and variants as calculated by the PASTA algorithm. A table of the calculated aggregation propensities of hIAPP and variants as calculated by the AGGRESCAN algorithm. A figure predicted amyloid forming regions of hIAPP and variants as calculated by the ZipperDB algorithm. A figure of thioflavin-T kinetics and TEM of S28P containing variants at 100 μM peptide concentration. A Figure of thioflavin-T curves collected in triplicate for all variants, curve slopes, and maximum fluorescence intensities. Figures of the CSS calibration curves used during each day of IM-MS data collection. A figure of unsmoothed arrival time distributions for hIAPP and variants. Comparison of relative populations of dimeric and monomeric for hIAPP variants compared to T50 and EC50. A figure showing the results of PICUP studies on hIAPP and variants.
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