Abstract
Amyloid deposits consisting of fibrillar islet amyloid polypeptide (IAPP) in pancreatic islets are associated with beta-cell loss and have been implicated in type 2 diabetes (T2D). Here, we applied cryo-EM to reconstruct densities of three dominant IAPP fibril polymorphs, formed in vitro from synthetic human IAPP. An atomic model of the main polymorph, built from a density map of 4.2-Å resolution, reveals two S-shaped, intertwined protofilaments. The segment 21-NNFGAIL-27, essential for IAPP amyloidogenicity, forms the protofilament interface together with Tyr37 and the amidated C terminus. The S-fold resembles polymorphs of Alzheimer’s disease (AD)-associated amyloid-β (Aβ) fibrils, which might account for the epidemiological link between T2D and AD and reports on IAPP–Aβ cross-seeding in vivo. The results structurally link the early-onset T2D IAPP genetic polymorphism (encoding Ser20Gly) with the AD Arctic mutation (Glu22Gly) of Aβ and support the design of inhibitors and imaging probes for IAPP fibrils.
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References
Opie, E. L. On the relation of chronic interstitial pancreatitis to the islands of Langerhans and to diabetes mellitus. J. Exp. Med. 5, 397–428 (1901).
Jurgens, C. A. et al. β-cell loss and β-cell apoptosis in human type 2 diabetes are related to islet amyloid deposition. Am. J. Pathol. 178, 2632–2640 (2011).
Westermark, P., Andersson, A. & Westermark, G. T. Islet amyloid polypeptide, islet amyloid, and diabetes mellitus. Physiol. Rev. 91, 795–826 (2011).
Wimalawansa, S. J. Amylin, calcitonin gene-related peptide, calcitonin, and adrenomedullin: a peptide superfamily. Crit. Rev. Neurobiol. 11, 167–239 (1997).
Akter, R. et al. Islet amyloid polypeptide: structure, function, and pathophysiology. J. Diabetes Res. 2016, 2798269 (2016).
Mukherjee, A., Morales-Scheihing, D., Butler, P. C. & Soto, C. Type 2 diabetes as a protein misfolding disease. Trends Mol. Med. 21, 439–449 (2015).
Cao, P., Abedini, A. & Raleigh, D. P. Aggregation of islet amyloid polypeptide: from physical chemistry to cell biology. Curr. Opin. Struct. Biol. 23, 82–89 (2013).
Halban, P. A. et al. β-cell failure in type 2 diabetes: postulated mechanisms and prospects for prevention and treatment. J. Clin. Endocrinol. Metab. 99, 1983–1992 (2014).
Zraika, S. et al. Toxic oligomers and islet beta cell death: guilty by association or convicted by circumstantial evidence? Diabetologia 53, 1046–1056 (2010).
Zhang, S. et al. The pathogenic mechanism of diabetes varies with the degree of overexpression and oligomerization of human amylin in the pancreatic islet β cells. FASEB J. 28, 5083–5096 (2014).
Masters, S. L. et al. Activation of the NLRP3 inflammasome by islet amyloid polypeptide provides a mechanism for enhanced IL-1β in type 2 diabetes. Nat. Immunol. 11, 897–904 (2010).
Rivera, J. F. et al. Human IAPP disrupts the autophagy/lysosomal pathway in pancreatic β-cells: protective role of p62-positive cytoplasmic inclusions. Cell Death Differ. 18, 415–426 (2011).
Gupta, D. & Leahy, J. L. Islet amyloid and type 2 diabetes: overproduction or inadequate clearance and detoxification? J. Clin. Invest. 124, 3292–3294 (2014).
Casas, S. et al. Impairment of the ubiquitin–proteasome pathway is a downstream endoplasmic reticulum stress response induced by extracellular human islet amyloid polypeptide and contributes to pancreatic β-cell apoptosis. Diabetes 56, 2284–2294 (2007).
Hull, R. L. et al. Amyloid formation in human IAPP transgenic mouse islets and pancreas, and human pancreas, is not associated with endoplasmic reticulum stress. Diabetologia 52, 1102–1111 (2009).
Janson, J., Ashley, R. H., Harrison, D., McIntyre, S. & Butler, P. C. The mechanism of islet amyloid polypeptide toxicity is membrane disruption by intermediate-sized toxic amyloid particles. Diabetes 48, 491–498 (1999).
Paulsson, J. F. et al. High plasma levels of islet amyloid polypeptide in young with new-onset of type 1 diabetes mellitus. PLoS ONE 9, e93053 (2014).
Martinez-Valbuena, I. et al. Interaction of amyloidogenic proteins in pancreatic β cells from subjects with synucleinopathies. Acta Neuropathol. 135, 877–886 (2018).
Oskarsson, M. E. et al. In vivo seeding and cross-seeding of localized amyloidosis: a molecular link between type 2 diabetes and Alzheimer’s disease. Am. J. Pathol. 185, 834–846 (2015).
Moreno-Gonzalez, I. et al. Molecular interaction between type 2 diabetes and Alzheimer’s disease through cross-seeding of protein misfolding. Mol. Psychiatry 9, 1327–1334 (2017).
O’Nuallain, B., Williams, A. D., Westermark, P. & Wetzel, R. Seeding specificity in amyloid growth induced by heterologous fibrils. J. Biol. Chem. 279, 17490–17499 (2004).
Kajava, A. V., Aebi, U. & Steven, A. C. The parallel superpleated β-structure as a model for amyloid fibrils of human amylin. J. Mol. Biol. 348, 247–252 (2005).
Luca, S., Yau, W. M., Leapman, R. & Tycko, R. Peptide conformation and supramolecular organization in amylin fibrils: constraints from solid-state NMR. Biochemistry 46, 13505–13522 (2007).
Wiltzius, J. J. W. et al. Atomic structure of the cross-β spine of islet amyloid polypeptide (amylin). Protein Sci. 17, 1467–1474 (2008).
Bedrood, S. et al. Fibril structure of human islet amyloid polypeptide. J. Biol. Chem. 287, 5235–5241 (2012).
Alexandrescu, A. T. Amide proton solvent protection in amylin fibrils probed by quenched hydrogen-exchange NMR. PLoS ONE 8, e56467 (2013).
Weirich, F. et al. Structural characterization of fibrils from recombinant human islet amyloid polypeptide by solid-state NMR: the central FGAILS segment is part of the β-sheet core. PLoS ONE 11, e0161243 (2016).
Goldsbury, C. S. et al. Polymorphic fibrillar assembly of human amylin. J. Struct. Biol. 119, 17–27 (1997).
Hutton, J. C. The internal pH and membrane potential of the insulin-secretory granule. Biochem. J. 204, 171–178 (1982).
Wang, Z. & Schröder, G. F. Real-space refinement with DireX: from global fitting to side-chain improvements. Biopolymers 97, 687–697 (2012).
Falkner, B. & Schröder, G. F. Cross-validation in cryo-EM-based structural modeling. Proc. Natl Acad. Sci. USA 110, 8930–8935 (2013).
Westermark, P., Engstrom, U., Johnson, K. H., Westermark, G. T. & Betsholtz, C. Islet amyloid polypeptide: pinpointing amino acid residues linked to amyloid fibril formation. Proc. Natl Acad. Sci. USA 87, 5036–5040 (1990).
Betsholtz, C. et al. Sequence divergence in a specific region of islet amyloid polypeptide (IAPP) explains differences in islet amyloid formation between species. FEBS Lett. 251, 261–264 (1989).
Tenidis, K. et al. Identification of a penta- and hexapeptide of islet amyloid polypeptide (IAPP) with amyloidogenic and cytotoxic properties. J. Mol. Biol. 295, 1055–1071 (2000).
Gremer, L. et al. Fibril structure of amyloid-β(1–42) by cryo–electron microscopy. Science 358, 116–119 (2017).
Röder, C. et al. Atomic structure of PI3-kinase SH3 amyloid fibrils by cryo-electron microscopy. Nat. Commun. 10, 3754 (2019).
Janson, J. et al. Increased risk of type 2 diabetes in Alzheimer’s disease. Diabetes 53, 474–481 (2004).
Yang, Y. & Song, W. Molecular links between Alzheimer’s disease and diabetes mellitus. Neuroscience 250, 140–150 (2013).
Colvin, M. T. et al. Atomic resolution structure of monomorphic Aβ42 amyloid fibrils. J. Am. Chem. Soc. 138, 9663–9674 (2016).
Wälti, M. A. et al. Atomic-resolution structure of a disease-relevant Aβ1–42 amyloid fibril. Proc. Natl Acad. Sci. USA 113, 4976–4984 (2016).
Tycko, R. Molecular structure of aggregated amyloid-β: insights from solid state nuclear magnetic resonance. Cold Spring Harb. Perspect. Med. 6, a024083 (2016).
Xiao, Y. et al. Aβ1–42 fibril structure illuminates self-recognition and replication of amyloid in Alzheimer’s disease. Nat. Struct. Mol. Biol. 22, 499–505 (2015).
Kollmer, M. et al. Cryo-EM structure and polymorphism of Aβ amyloid fibrils purified from Alzheimer’s brain tissue. Nat. Commun. 10, 4760 (2019).
Colvin, M. T. et al. Atomic resolution structure of monomorphic Aβ42 amyloid fibrils. J. Am. Chem. Soc. 138, 9663–9674 (2016).
Sakagashira, S. et al. Missense mutation of amylin gene (S20G) in Japanese NIDDM patients. Diabetes 45, 1279–1281 (1996).
Seino, S. S20G mutation of the amylin gene is associated with type II diabetes in Japanese. Study Group of Comprehensive Analysis of Genetic Factors in Diabetes Mellitus. Diabetologia 44, 906–909 (2001).
Meier, D. T. et al. The S20G substitution in hIAPP is more amyloidogenic and cytotoxic than wild-type hIAPP in mouse islets. Diabetologia 59, 2166–2171 (2016).
Cao, P. et al. Sensitivity of amyloid formation by human islet amyloid polypeptide to mutations at residue 20. J. Mol. Biol. 421, 282–295 (2012).
Sakagashira, S. et al. S20G mutant amylin exhibits increased in vitro amyloidogenicity and increased intracellular cytotoxicity compared to wild-type amylin. Am. J. Pathol. 157, 2101–2109 (2000).
Ma, Z. et al. Enhanced in vitro production of amyloid-like fibrils from mutant (S20G) islet amyloid polypeptide. Amyloid 8, 242–249 (2001).
Xu, W., Jiang, P. & Mu, Y. Conformation preorganization: effects of S20G mutation on the structure of human islet amyloid polypeptide segment. J. Phys. Chem. B 113, 7308–7314 (2009).
Mirecka, E. A. et al. β-hairpin of islet amyloid polypeptide bound to an aggregation inhibitor. Sci. Rep. 6, 33474 (2016).
Nilsberth, C. et al. The ‘Arctic’ APP mutation (E693G) causes Alzheimer’s disease by enhanced Aβ protofibril formation. Nat. Neurosci. 4, 887–893 (2001).
Padrick, S. B. & Miranker, A. D. Islet amyloid polypeptide: identification of long-range contacts and local order on the fibrillogenesis pathway. J. Mol. Biol. 308, 783–794 (2001).
Chen, M. S. et al. Characterizing the assembly behaviors of human amylin: a perspective derived from C-terminal variants. Chem. Commun. 49, 1799–1801 (2013).
Yonemoto, I. T., Kroon, G. J. A., Dyson, H. J., Balch, W. E. & Kelly, J. W. Amylin proprotein processing generates progressively more amyloidogenic peptides that initially sample the helical state. Biochemistry 47, 9900–9910 (2008).
Kruger, D. F. & Gloster, M. A. Pramlintide for the treatment of insulin-requiring diabetes mellitus: rationale and review of clinical data. Drugs 64, 1419–1432 (2004).
Roth, J. D. et al. Leptin responsiveness restored by amylin agonism in diet-induced obesity: evidence from nonclinical and clinical studies. Proc. Natl Acad. Sci. USA 105, 7257–7262 (2008).
Wang, H., Abedini, A., Ruzsicska, B. & Raleigh, D. P. Rationally designed, nontoxic, nonamyloidogenic analogues of human islet amyloid polypeptide with improved solubility. Biochemistry 53, 5876–5884 (2014).
Zheng, S. Q., Palovcak, E., Armache, J.-P., Cheng, Y. & Agard, D. A. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).
Rohou, A. & Grigorieff, N. CTFFIND4: fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 192, 216–221 (2015).
He, S. & Scheres, S. H. W. Helical reconstruction in RELION. J. Struct. Biol. 198, 163–176 (2017).
Scheres, S. H. W. RELION: implementation of a Bayesian approach to cryo-EM structure determination. J. Struct. Biol. 180, 519–530 (2012).
Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D Biol. Crystallogr. 60, 2126–2132 (2004).
Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 66, 486–501 (2010).
Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D Biol. Crystallogr. 66, 213–221 (2010).
Trabuco, L. G., Villa, E., Schreiner, E., Harrison, C. B. & Schulten, K. Molecular dynamics flexible fitting: a practical guide to combine cryo-electron microscopy and X-ray crystallography. Methods 49, 174–180 (2009).
Trabuco, L. G., Villa, E., Mitra, K., Frank, J. & Schulten, K. Flexible fitting of atomic structures into electron microscopy maps using molecular dynamics. Structure 16, 673–683 (2008).
Brunger, A. T. et al. Crystallography & NMR system: a new software suite for macromolecular structure determination. Acta Crystallogr. D Biol. Crystallogr. 54, 905–921 (1998).
Brunger, A. T. Version 1.2 of the Crystallography and NMR system. Nat. Protoc. 2, 2728–2733 (2007).
Chen, V. B. et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D Biol. Crystallogr. 66, 12–21 (2010).
Pettersen, E. F. et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).
Goddard, T. D. et al. UCSF ChimeraX: meeting modern challenges in visualization and analysis. Protein Sci. 27, 14–25 (2018).
Krivov, G. G., Shapovalov, M. V. & Dunbrack, R. L. Improved prediction of protein side-chain conformations with SCWRL4. Proteins 77, 778–795 (2009).
Jo, S., Kim, T., Iyer, V. G. & Im, W. CHARMM-GUI: a web-based graphical user interface for CHARMM. J. Comput. Chem. 29, 1859–1865 (2008).
Lee, J. et al. CHARMM-GUI input generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM simulations using the CHARMM36 Additive Force Field. J. Chem. Theory Comput. 12, 405–413 (2016).
Abraham, M. J. et al. GROMACS: high performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1–2, 19–25 (2015).
Best, R. B. et al. Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ1 and χ2 dihedral angles. J. Chem. Theory Comput. 8, 3237–3256 (2012).
MacKerell, A. D. et al. All-atom empirical potential for molecular modeling and dynamics studies of proteins. J. Phys. Chem. B 102, 3586–3616 (1998).
Beglov, D. & Roux, B. Finite representation of an infinite bulk system: solvent boundary potential for computer simulations. J. Chem. Phys. 100, 9050–9063 (1994).
Hess, B., Bekker, H., Berendsen, H. J. C. & Fraaije, J. G. E. M. LINCS: a linear constraint solver for molecular simulations. J. Comput. Chem. 18, 1463–1472 (1997).
Nosé, S. A unified formulation of the constant temperature molecular dynamics methods. J. Chem. Phys. 81, 511–519 (1984).
Hoover, W. G. Canonical dynamics: equilibrium phase-space distributions. Phys. Rev. A Gen. Phys. 31, 1695–1697 (1985).
Parrinello, M. & Rahman, A. Polymorphic transitions in single crystals: a new molecular dynamics method. J. Appl. Phys. 52, 7182–7190 (1981).
Darden, T., York, D. & Pedersen, L. Particle mesh Ewald: an N·log(N) method for Ewald sums in large systems. J. Chem. Phys. 98, 10089–10092 (1993).
Acknowledgements
We thank P.J. Peters and C. López-Iglesias for advice and helpful discussions, H. Duimel for help with sample preparation and the M4I Division of Nanoscopy of Maastricht University for microscope access and support. The authors gratefully acknowledge the computing time granted by the Jülich Aachen Research Alliance High-Performance Computing (JARA-HPC) Vergabegremium and VSR commission on the supercomputer JURECA at Forschungszentrum Jülich. We acknowledge support from a European Research Council (ERC) Consolidator grant (no. 726368; W.H.), the Alzheimer Forschung Initiative e.V. and Alzheimer Nederland (project no. 19082CB; R.B.G.R. and G.F.S.), the Russian Science Foundation (RSF; project no. 20-64-46027; L.G. and D.W.) and the Helmholtz Association Initiative and Networking Fund (project no. ZT-I-0003; K.R.P. and G.F.S.).
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L.G., W.H., T.K. and G.F.S. conceived the study. T.K. and L.G. performed and analyzed fibril preparation and AFM experiments. R.G.B.R. performed cryo-EM experiments and the initial data analysis. C.R., T.K. and G.F.S. performed image processing and initial reconstruction. C.R. and G.F.S. performed reconstruction, model building and refinement. L.U.S., K.R.P. and G.F.S. performed molecular dynamics simulations and structure fitting. C.R., T.K., G.F.S., W.H., L.G., K.R.P. and L.U.S. wrote the manuscript. D.W. and all other authors discussed the results and commented on the manuscript.
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Extended data
Extended Data Fig. 1 Comparison of described IAPP polymorphs.
a, Single fibril cut-outs of polymorphs PM1, PM2 and PM3 from AFM images (top row) and cryo-EM micrographs (bottom row); single box size is 100 × 250 nm. b, Height profiles of individual fibrils extracted from AFM images. c, Height distribution histogram, showing the highest number of counts for the plane background surface around 0 nm and a distinct peak around 2.2 nm. The peak around 2.2 nm includes both PM1 and PM2 which are non-distinguishable in sense of height distribution. Moreover, a pronounced shoulder on the right corresponds to the presence of lower amounts of PM3 as well as the overlaps of single PM1/PM2 fibrils. For the height distribution analysis, histograms from six height images of 5 × 5 µm size and a resolution of 1024 × 1024 pixels were obtained, binned and presented in one graph. An example of the image used can be seen in Supplementary Figure 2.
Extended Data Fig. 2 Overview of IAPP polymorphs.
a, Typical height profile AFM image used for polymorph distribution analysis. b, Cryo-EM micrographs showing 370 × 370 nm areas. c, AFM overview images showing 1 × 1 µm areas. Arrows indicate the presence of PM1 (red), PM2 (green) and PM3 (blue).
Extended Data Fig. 3 DireX analysis of polymorph 2 (PM2).
The table contains the Cwork and Cfree values from DireX fitting of 21-residue-long sequence snippets (black box) of IAPP in both possible Cα-chain directions into a density layer of PM2 together with the respective amino acid sequence. The results are ranked according to their Cfree values. Highlighted (green box) is the most favorable sequence fit. Atomic models of the four most favorable sequence snippets are shown at the bottom. Note that some models, for example model 2, can be excluded since they are incompatible with the disulfide bond between residues Cys2 and Cys7.
Extended Data Fig. 4 Hydrophobicity plot of the fibril displayed as top view.
Hydrophobicity levels of the IAPP polymorph 1 (PM1) fibril are colored according to Kyte-Doolittle in the hydrophobicity score range −4.5 (white) to 4.5 (gold). One hydrophobic cluster spans the entire diagonal of the fibril cross-section. This hydrophobic streak is surrounded by highly ordered polar clusters.
Extended Data Fig. 5 Results of molecular dynamics simulations of IAPP polymorph 1 (PM1).
Superimposed snapshots from a 250 ns simulation displaying only the backbone (a) or all atoms (except for solvent and hydrogen) (b). c, Showing the RMSD from the deposited structure of PM1 (PDB ID 6Y1A) for two 250 ns simulations (black and grey lines, respectively). d, Showing the RMSD of a single chain from the deposited structure during the two 250 ns simulations. e, Showing the atomic root mean square fluctuations (RMSF) for each residue calculated over each 250 ns simulation.
Extended Data Fig. 6 FSC Analysis of polymorph 1 (PM1).
FSC curves from the even/odd test (solid black) from the gold-standard refinement yields a resolution of 4.2 Å (using the 0.143 criterion). The even/odd FSC curve is fitted (red) with the model function 1/(1+exp((x-A)/B)) (with A = 0.1947 and B = 0.026) to obtain a more robust resolution estimate.
Extended Data Fig. 7 FSC analysis of polymorph 2 (PM2).
FSC curves from the even/odd test (solid black) from the gold-standard refinement yields a resolution of 4.2 Å (using the 0.143 criterion). The even/odd FSC curve is fitted (green) with the model function 1/(1+exp((x-A)/B))) (with A = 0.194789 and B = 0.02427) to obtain a more robust resolution estimate.
Extended Data Fig. 8 FSC analysis of Polymorph 3 (PM3).
FSC curves from the even/odd test (solid black) from the gold-standard refinement yields a resolution of 8.1 Å (using the 0.143 criterion). The even/odd FSC curve is fitted (light blue) with the model function 1/(1+exp((x-A)/B)) (with A = 0.0772 and B = 0.0256) to obtain a more robust resolution estimate.
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Röder, C., Kupreichyk, T., Gremer, L. et al. Cryo-EM structure of islet amyloid polypeptide fibrils reveals similarities with amyloid-β fibrils. Nat Struct Mol Biol 27, 660–667 (2020). https://doi.org/10.1038/s41594-020-0442-4
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DOI: https://doi.org/10.1038/s41594-020-0442-4
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