Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Cryo-EM structure and inhibitor design of human IAPP (amylin) fibrils

Abstract

Human islet amyloid polypeptide (hIAPP) functions as a glucose-regulating hormone but deposits as amyloid fibrils in more than 90% of patients with type II diabetes (T2D). Here we report the cryo-EM structure of recombinant full-length hIAPP fibrils. The fibril is composed of two symmetrically related protofilaments with ordered residues 14–37. Our hIAPP fibril structure (i) supports the previous hypothesis that residues 20–29 constitute the core of the hIAPP amyloid; (ii) suggests a molecular mechanism for the action of the hIAPP hereditary mutation S20G; (iii) explains why the six residue substitutions in rodent IAPP prevent aggregation; and (iv) suggests regions responsible for the observed hIAPP cross-seeding with β-amyloid. Furthermore, we performed structure-based inhibitor design to generate potential hIAPP aggregation inhibitors. Four of the designed peptides delay hIAPP aggregation in vitro, providing a starting point for the development of T2D therapeutics and proof of concept that the capping strategy can be used on full-length cryo-EM fibril structures.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Cryo-EM map of hIAPP fibrils and identification of two models.
Fig. 2: Structure analysis of hIAPP fibrils.
Fig. 3: Structure-based inhibitor design of hIAPP fibrils.

Similar content being viewed by others

Data availability

Structural data have been deposited into the Worldwide Protein Data Bank (wwPDB) and the Electron Microscopy Data Bank (EMDB) with accession codes PDB 6VW2 and EMD-21410, respectively. Coordinates for model 2, model 1 (swap) and model 2 (swap) are available as Supplementary Data 13. Source data for Fig. 3b,d, Extended Data Fig. 1e,f and Extended Data Fig. 7b are available online.

Code availability

The custom software used for solvation energy calculation is available upon request.

References

  1. Eisenberg, D. & Jucker, M. The amyloid state of proteins in human diseases. Cell 148, 1188–1203 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Roberts, A. N. et al. Molecular and functional characterization of amylin, a peptide associated with type 2 diabetes mellitus. Proc. Natl Acad. Sci. USA 86, 9662–9666 (1989).

    CAS  PubMed  Google Scholar 

  3. Westermark, P. Amyloid in the islets of Langerhans: thoughts and some historical aspects. Ups. J. Med. Sci. 116, 81–89 (2011).

    Google Scholar 

  4. Westermark, P. et al. Amyloid fibrils in human insulinoma and islets of Langerhans of the diabetic cat are derived from a neuropeptide-like protein also present in normal islet cells. Proc. Natl Acad. Sci. USA 84, 3881–3885 (1987).

    CAS  PubMed  Google Scholar 

  5. Cooper, G. J. et al. Amylin found in amyloid deposits in human type 2 diabetes mellitus may be a hormone that regulates glycogen metabolism in skeletal muscle. Proc. Natl Acad. Sci. USA 85, 7763–7766 (1988).

    CAS  PubMed  Google Scholar 

  6. Höppener, J. W., Ahrén, B. & Lips, C. J. Islet amyloid and type 2 diabetes mellitus. N. Engl. J. Med. 343, 411–419 (2000).

    PubMed  Google Scholar 

  7. Maloy, A. L., Longnecker, D. S. & Greenberg, E. R. The relation of islet amyloid to the clinical type of diabetes. Hum. Pathol. 12, 917–922 (1981).

    CAS  PubMed  Google Scholar 

  8. Esapa, C. et al. Islet amyloid polypeptide gene promoter polymorphisms are not associated with type 2 diabetes or with the severity of islet amyloidosis. Biochim. Biophys. Acta 1740, 74–78 (2005).

    CAS  PubMed  Google Scholar 

  9. 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).

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Westermark, P., Engström, 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).

    CAS  PubMed  Google Scholar 

  11. 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).

    CAS  PubMed  Google Scholar 

  12. Verchere, C. B. et al. Islet amyloid formation associated with hyperglycemia in transgenic mice with pancreatic beta cell expression of human islet amyloid polypeptide. Proc. Natl Acad. Sci. USA 93, 3492–3496 (1996).

    CAS  PubMed  Google Scholar 

  13. Westermark, G. T., Gebre-Medhin, S., Steiner, D. F. & Westermark, P. Islet amyloid development in a mouse strain lacking endogenous islet amyloid polypeptide (IAPP) but expressing human IAPP. Mol. Med. Camb. Mass 6, 998–1007 (2000).

    CAS  PubMed  Google Scholar 

  14. Lee, S. C. et al. The islet amyloid polypeptide (amylin) gene S20G mutation in Chinese subjects: evidence for associations with type 2 diabetes and cholesterol levels. Clin. Endocrinol. (Oxf.) 54, 541–546 (2001).

    CAS  Google Scholar 

  15. Morita, S. et al. Progressive deterioration of insulin secretion in Japanese type 2 diabetic patients in comparison with those who carry the S20G mutation of the islet amyloid polypeptide gene: a long-term follow-up study. J. Diabetes Investig. 2, 287–292 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  16. 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).

    CAS  PubMed  Google Scholar 

  17. 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).

    CAS  PubMed  PubMed Central  Google Scholar 

  18. 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).

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Pilkington, E. H. et al. Pancreatic β-cell membrane fluidity and toxicity induced by human islet amyloid polypeptide species. Sci. Reports 6, 21274 (2016).

    CAS  Google Scholar 

  20. Krotee, P. et al. Atomic structures of fibrillar segments of hIAPP suggest tightly mated β-sheets are important for cytotoxicity. Elife 6, e19273 (2017).

    PubMed  PubMed Central  Google Scholar 

  21. Jaikaran, E. T. et al. Identification of a novel human islet amyloid polypeptide beta-sheet domain and factors influencing fibrillogenesis. J. Mol. Biol. 308, 515–525 (2001).

    CAS  PubMed  Google Scholar 

  22. Nilsson, M. R. & Raleigh, D. P. Analysis of amylin cleavage products provides new insights into the amyloidogenic region of human amylin. J. Mol. Biol. 294, 1375–1385 (1999).

    CAS  PubMed  Google Scholar 

  23. Gilead, S. & Gazit, E. The role of the 14–20 domain of the islet amyloid polypeptide in amyloid formation. Exp. Diabetes Res. 2008, 256954 (2008).

    PubMed  PubMed Central  Google Scholar 

  24. Scrocchi, L. A. et al. Identification of minimal peptide sequences in the (8–20) domain of human islet amyloid polypeptide involved in fibrillogenesis. J. Struct. Biol. 141, 218–227 (2003).

    CAS  PubMed  Google Scholar 

  25. 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).

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Bedrood, S. et al. Fibril structure of human islet amyloid polypeptide. J. Biol. Chem. 287, 5235–5241 (2012).

    CAS  PubMed  Google Scholar 

  27. Cao, Q., Boyer, D. R., Sawaya, M. R., Ge, P. & Eisenberg, D. S. Cryo-EM structures of four polymorphic TDP-43 amyloid cores. Nat. Struct. Mol. Biol. 26, 619–627 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Guenther, E. L. et al. Atomic structures of TDP-43 LCD segments and insights into reversible or pathogenic aggregation. Nat. Struct. Mol. Biol. 25, 463–471 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Fitzpatrick, A. W. P. et al. Cryo-EM structures of tau filaments from Alzheimer’s disease. Nature 547, 185–190 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Falcon, B. et al. Structures of filaments from Pick’s disease reveal a novel tau protein fold. Nature 561, 137–140 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Falcon, B. et al. Novel tau filament fold in chronic traumatic encephalopathy encloses hydrophobic molecules. Nature 568, 420–423 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Li, B. et al. Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernel. Nat. Commun. 9, 3609 (2018).

    PubMed  PubMed Central  Google Scholar 

  33. Boyer, D. R. et al. Structures of fibrils formed by α-synuclein hereditary disease mutant H50Q reveal new polymorphs. Nat. Struct. Mol. Biol. 26, 1044–1052 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Iadanza, M. G. et al. The structure of a β2-microglobulin fibril suggests a molecular basis for its amyloid polymorphism. Nat. Commun. 9, 4517 (2018).

    PubMed  PubMed Central  Google Scholar 

  35. Murray, D. T. et al. Structure of FUS protein fibrils and its relevance to self-assembly and phase separation of low-complexity domains. Cell 171, 615–627.e16 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  36. Kollmer, M. et al. Cryo-EM structure and polymorphism of Aβ amyloid fibrils purified from Alzheimer’s brain tissue. Nat. Commun. 10, 4760 (2019).

    PubMed  PubMed Central  Google Scholar 

  37. Sakagashira, S. et al. Missense mutation of amylin gene (S20G) in Japanese NIDDM patients. Diabetes 45, 1279–1281 (1996).

    CAS  PubMed  Google Scholar 

  38. Cao, P., Meng, F., Abedini, A. & Raleigh, D. P. The ability of rodent islet amyloid polypeptide to inhibit amyloid formation by human islet amyloid polypeptide has important implications for the mechanism of amyloid formation and the design of inhibitors. Biochemistry 49, 872–881 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  39. Akter, R. et al. Islet amyloid polypeptide: structure, function, and pathophysiology. J. Diabetes Res. 2016, 2798269 (2016).

    PubMed  Google Scholar 

  40. Oskarsson, M. E. et al. In vivo seeding and cross-seeding of localized amyloidosis: a molecular link between type 2 diabetes and Alzheimer disease. Am. J. Pathol. 185, 834–846 (2015).

    CAS  PubMed  Google Scholar 

  41. Janson, J. et al. Increased risk of type 2 diabetes in Alzheimer disease. Diabetes 53, 474–481 (2004).

    CAS  PubMed  Google Scholar 

  42. Miklossy, J. et al. Beta amyloid and hyperphosphorylated tau deposits in the pancreas in type 2 diabetes. Neurobiol. Aging 31, 1503–1515 (2010).

    CAS  PubMed  Google Scholar 

  43. Peila, R., Rodriguez, B. L., Launer, L. J. & Honolulu-Asia Aging Study. Type 2 diabetes, APOE gene, and the risk for dementia and related pathologies: the Honolulu-Asia Aging Study. Diabetes 51, 1256–1262 (2002).

  44. Moreno-Gonzalez, I. et al. Molecular interaction between type 2 diabetes and Alzheimer’s disease through cross-seeding of protein misfolding. Mol. Psychiatry 22, 1327–1334 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  45. 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).

    PubMed  Google Scholar 

  46. Krotee, P. et al. Common fibrillar spines of amyloid-β and human islet amyloid polypeptide revealed by microelectron diffraction and structure-based inhibitors. J. Biol. Chem. 293, 2888–2902 (2018).

    CAS  PubMed  Google Scholar 

  47. Andreetto, E. et al. A hot-segment-based approach for the design of cross-amyloid interaction surface mimics as inhibitors of amyloid self-assembly. Angew. Chem. Int. Ed. Engl. 54, 13095–13100 (2015).

    CAS  PubMed  Google Scholar 

  48. Sievers, S. A. et al. Structure-based design of non-natural amino-acid inhibitors of amyloid fibril formation. Nature 475, 96–100 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Seidler, P. M. et al. Structure-based inhibitors of tau aggregation. Nat. Chem. 10, 170–176 (2018).

    CAS  PubMed  Google Scholar 

  50. Seidler, P. M. et al. Structure-based inhibitors halt prion-like seeding by Alzheimer’s disease- and tauopathy-derived brain tissue samples. J. Biol. Chem. 294, 16451–16464 (2019).

    CAS  PubMed  Google Scholar 

  51. Griner, S. L. et al. Structure-based inhibitors of amyloid beta core suggest a common interface with tau. Elife 8, e46924 (2019).

    PubMed  PubMed Central  Google Scholar 

  52. Sangwan, S. et al. Inhibition of synucleinopathic seeding by rationally designed inhibitors. Elife 9, e46775 (2020).

    PubMed  PubMed Central  Google Scholar 

  53. Lopes, D. H. J. et al. Amyloidogenicity and cytotoxicity of recombinant mature human islet amyloid polypeptide (rhIAPP). J. Biol. Chem. 279, 42803–42810 (2004).

    CAS  PubMed  Google Scholar 

  54. Sheng, W. & Liao, X. Solution structure of a yeast ubiquitin-like protein Smt3: the role of structurally less defined sequences in protein–protein recognitions. Protein Sci. 11, 1482–1491 (2002).

    CAS  PubMed  PubMed Central  Google Scholar 

  55. Röder, C. et al. Amyloid fibril structure of islet amyloid polypeptide by cryo-electron microscopy reveals similarities with amyloid beta. Preprint at bioRxiv https://doi.org/10.1101/2020.02.11.944546 (2020).

  56. Guenther, E. L. et al. Atomic structures of TDP-43 LCD segments and insights into reversible or pathogenic aggregation. Nat. Struct. Mol. Biol. 25, 463–471 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Suloway, C. et al. Automated molecular microscopy: the new Leginon system. J. Struct. Biol. 151, 41–60 (2005).

    CAS  PubMed  Google Scholar 

  58. Grant, T. & Grigorieff, N. Automatic estimation and correction of anisotropic magnification distortion in electron microscopes. J. Struct. Biol. 192, 204–208 (2015).

    PubMed  PubMed Central  Google Scholar 

  59. Rohou, A. & Grigorieff, N. CTFFIND4: fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 192, 216–221 (2015).

    PubMed  PubMed Central  Google Scholar 

  60. Grant, T. & Grigorieff, N. Measuring the optimal exposure for single particle cryo-EM using a 2.6 Å reconstruction of rotavirus VP6. Elife 4, e06980 (2015).

    PubMed  PubMed Central  Google Scholar 

  61. Tang, G. et al. EMAN2: an extensible image processing suite for electron microscopy. J. Struct. Biol. 157, 38–46 (2007).

    CAS  PubMed  Google Scholar 

  62. He, S. & Scheres, S. H. W. Helical reconstruction in RELION. J. Struct. Biol. 198, 163–176 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  63. Scheres, S. H. W. RELION: implementation of a Bayesian approach to cryo-EM structure determination. J. Struct. Biol. 180, 519–530 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  64. Terwilliger, T. C., Sobolev, O. V., Afonine, P. V. & Adams, P. D. Automated map sharpening by maximization of detail and connectivity. Acta Crystallogr. D Struct. Biol. 74, 545–559 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  65. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 66, 486–501 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  66. Wiltzius, J. J. W. et al. Atomic structure of the cross-beta spine of islet amyloid polypeptide (amylin). Protein Sci. 17, 1467–1474 (2008).

    CAS  PubMed  PubMed Central  Google Scholar 

  67. Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D Struct. Biol. 74, 531–544 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  68. Chen, V. B. et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D Biol. Crystallogr. 66, 12–21 (2010).

    CAS  PubMed  Google Scholar 

  69. Eisenberg, D. & McLachlan, A. D. Solvation energy in protein folding and binding. Nature 319, 199–203 (1986).

    CAS  PubMed  Google Scholar 

  70. Eisenberg, D., Wesson, M. & Yamashita, M. Interpretation of protein folding and binding with atomic solvation parameters. Chem. Scr. 29A, 217–221 (1989).

    CAS  Google Scholar 

  71. Koehl, P. & Delarue, M. Application of a self-consistent mean field theory to predict protein side-chains conformation and estimate their conformational entropy. J. Mol. Biol. 239, 249–275 (1994).

    CAS  PubMed  Google Scholar 

  72. Alford, R. F. et al. The Rosetta all-atom energy function for macromolecular modeling and design. J. Chem. Theory Comput. 13, 3031–3048 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  73. Warmack, R. A. et al. Structure of amyloid-beta (20-34) with Alzheimer’s-associated isomerization at Asp23 reveals a distinct protofilament interface. Nat. Commun. 10, 3357 (2019).

    PubMed  PubMed Central  Google Scholar 

  74. Lu, J.-X. et al. Molecular structure of beta-amyloid fibrils in Alzheimer’s disease brain tissue. Cell 154, 1257–1268 (2013).

    CAS  PubMed  Google Scholar 

  75. Schutz, A. K. et al. Atomic-resolution three-dimensional structure of amyloid beta fibrils bearing the Osaka mutation. Angew. Chem. Int. Ed. Engl. 54, 331–335 (2015).

    PubMed  Google Scholar 

  76. Colvin, M. T. et al. Atomic resolution structure of monomorphic Aβ42 amyloid fibrils. J. Am. Chem. Soc. 138, 9663–9674 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  77. Gremer, L. et al. Fibril structure of amyloid-β(1–42) by cryo–electron microscopy. Science 358, 116–119 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  78. Walti, M. A. et al. Atomic-resolution structure of a disease-relevant Aβ(1–42) amyloid fibril. Proc. Natl Acad. Sci. USA 113, E4976–E4984 (2016).

    CAS  PubMed  Google Scholar 

  79. Xiao, Y. et al. Aβ(1–42) fibril structure illuminates self-recognition and replication of amyloid in Alzheimer’s disease. Nat. Struct. Mol. Biol. 22, 499–505 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  80. Luhrs, T. et al. 3D structure of Alzheimer’s amyloid-β(1–42) fibrils. Proc. Natl Acad. Sci. USA 102, 17342–17347 (2005).

    CAS  PubMed  Google Scholar 

  81. Paravastu, A. K., Leapman, R. D., Yau, W.-M. & Tycko, R. Molecular structural basis for polymorphism in Alzheimer’s β-amyloid fibrils. Proc. Natl Acad. Sci. USA 105, 18349–18354 (2008).

    CAS  PubMed  Google Scholar 

  82. Sgourakis, N. G., Yau, W.-M. & Qiang, W. Modeling an in-register, parallel “Iowa” Aβ fibril structure using solid-state NMR data from labeled samples with Rosetta. Structure 23, 216–227 (2015).

    CAS  PubMed  Google Scholar 

  83. Brunger, A. T. Version 1.2 of the Crystallography and NMR system. Nat. Protoc. 2, 2728–2733 (2007).

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank H. Zhou for the use of Electron Imaging Center for Nanomachines (EICN) resources. We acknowledge the use of instruments at the EICN supported by the NIH (1S10RR23057 and IS10OD018111), NSF (DBI-1338135) and CNSI at UCLA. The authors acknowledge NIH AG 054022, NIH AG061847, and DOE DE-FC02-02ER63421 for support. D.R.B. was supported by the National Science Foundation Graduate Research Fellowship Program.

Author information

Authors and Affiliations

Authors

Contributions

Q.C. designed experiments, purified constructs, prepared cryo-EM samples, performed cryo-EM data collection and processing, designed inhibitors, performed biochemical experiments and performed data analysis. D.R.B. and P.G. assisted in cryo-EM data collection and processing. Q.C. and M.R.S. built the inhibitor binding model. M.R.S. performed solvation energy calculation. All authors analyzed the results and wrote the manuscript. D.S.E. supervised and guided the project.

Corresponding author

Correspondence to David S. Eisenberg.

Ethics declarations

Competing interests

D.S.E. is an advisor and equity shareholder in ADRx, Inc.

Additional information

Peer review information Peer reviewer reports are available. Inês Chen was the primary editor on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Cryo-EM data processing.

a, Representative Krios micrograph of hIAPP fibrils. Blue and green arrows indicate two morphologies (twister and ribbon, respectively) identified by 2D classification. Notice they are not distinguishable by eye. b, Representative 2D classes and relative population of twister and ribbon morphologies. c, Representative 2D classes of twister with smaller box size particles showing the 4.8 Å β-sheet spacing, and the computed diffraction pattern from a representative 2D class. d, Central slice (left) and 2D projection (right) from the final reconstruction. Notice the 2D projection of final reconstruction is consistent with 2D classification. e-f, FSC curves between two half-maps (e) and the cryo-EM reconstruction and refined atomic model (f). Data for graphs in e and f are available as source data.

Source data

Extended Data Fig. 2 Potential domain swapping of hIAPP models.

Domain swapped versions of both Model 1 and Model 2 were built to test the possibility of domain swapping. In the swapped models, the residues between the N-terminus and Gly24 from one protofilament were connected to the residues between Ala25 and the C-terminus from the other protofilament of the un-swapped model. The density map with σ=3.0 is shown in blue mesh and that with σ=2.0 is shown in grey mesh. Notice that Gly24 in both swapped Model 1 and Model 2 is clearly out of the density, demonstrating that the domain swapping is not supported by our cryo-EM map.

Extended Data Fig. 3 The fuzzy coat in hIAPP fibril structure may represent the flexible N-terminal of hIAPP and the SUMO-tag.

a, The final reconstruction (left) and 2D classification (right) show a fuzzy coat of ~55 Å surrounding the fibril core. b, Protease cleavage assays indicate the construct we used for fibril structure determination (SUMO-IAPP with 1xG, means one glycine between SUMO-tag and hIAPP) has an un-removable SUMO-tag, whereas the SUMO-tag is removable when we extend the linker to three glycine. c, Plausible N-terminal conformation suggested by the extra densities near Asn14. The density map with σ=3.0 is shown in blue mesh and that with σ=2.0 is shown in grey mesh. The intra-molecular disulfide bond is labeled between Cys2 and Cys7, and the residues occupying the extra densities in our hypothetical model are underlined. d, Crystal structure of SUMO protein (PDB ID 1L2N). e, Hypothetical model of N-terminus of hIAPP and SUMO-tag match the dimensions of the fuzzy coat observed in the hIAPP fibril reconstruction. Notice that in most cases the SUMO-tag is far away from the fibril core therefore should not influence the fibril structure.

Extended Data Fig. 4 Rosetta energy minimization of hIAPP fibril structure and rIAPP homology model.

a, Structure superimposition between (grey) hIAPP fibril structure determined here and (blue) hIAPP fibril structure (upper panels) or rIAPP homology model (lower panels) optimized by Rosetta energy minimization. Calculation was done either allowing only side chain movements (left panels) or allowing both side chain and main chain movements (middle and right panels). Notice that during Rosetta energy minimization, we did not apply non-crystallographic symmetry so that the 5 layers in each model were not forced to be identical. b, Steric clashes of the rIAPP homology model after side chain Rosetta energy minimization were probed with COOT and displayed as red dots. Notice that most of the steric clashes are found near S28P and S29P.

Extended Data Fig. 5 Structural superimposition of Aβ fibril structures and hIAPP fibril structure.

Ten previously reported Aβ fibril structures were superimposed with the hIAPP fibril structure by either directly comparing full-length Aβ fibril structures with the full-length hIAPP structure, or by only comparing residues 24-34 of Aβ fibril structures with residues 19-29 of the hIAPP structure. For the full-length comparison, one Aβ fibril structure (PDB ID 6SHS) shows reasonable alignment with low r.m.s.d., and the structural superimposition is shown on the far left panel, with the Aβ fibril structure shown in grey, the hIAPP structure shown in blue, and the segment that fits best (residues 20-25 of Aβ fibril structure) shown in magenta. For the partial comparison, four Aβ fibril structures show a good fit (middle left), three Aβ fibril structures show a moderate fit (middle right) and four Aβ fibril structures do not fit (far right). In these superimpositions, residues 24-34 of the Aβ fibril structures were colored grey and the highest fitting region (residues 26-31) is colored magenta. Detailed alignment parameters are listed in Supplementary Table 3.

Extended Data Fig. 6 Segments selected for hIAPP fibril inhibitor design.

Three segments of hIAPP, 21NNFGAILSS29 (N9S, left panels), 25AILSSTNVG33 (A9G, middle panels) and 21NNFG24 (N4G, right panels), were selected for design of inhibitors of hIAPP fibrils. For each selected segment, the hIAPP structure with the segment highlighted is shown on the top, with the hIAPP structure shown as lines and the segment shown as sticks. Proposed models of the corresponding inhibitor peptides (before adding N-methylation) binding to the hIAPP structures are shown as top views (middle panels) and side views (bottom panels). Notice there are multiple hydrogen bonds between the designed inhibitors and hIAPP fibrils, providing binding affinities for these inhibitors. For the N4G merged inhibitor, the model indicates the orientation-flipped and chirality-reversed N4G has high structural similarity to the original N4G and recaptures all original inter-layer interactions. Hydrogen bonds with distances between 2.3-3.2 Å are shown as black dashed lines.

Extended Data Fig. 7 Additional inhibitors designed for hIAPP fibrils.

a, Proposed model of designed inhibitors (magenta) bound to hIAPP fibrils (blue and grey for each protofilament). The methyl group of N-methylated inhibitors is shown as a green sphere. The last three residues of N4Gm-A are d-amino acids and are underlined. b, ThT assays measuring inhibitor efficacy shown on the left. A9G-A delays hIAPP fibril formation but not N9S-B and N4Gm-A. For the two inhibitors that were not effective, two effective inhibitors (N9S-A and N4Gm-B, respectively) are tested in the same experiment as controls. Data are shown as mean ± s.d., n = 3 independent experiments. c, Negative stain EM images of hIAPP with N9S-A, A9G-A or A9G-B after 20 hours of incubation. Notice that hIAPP fibril formation is not fully eliminated by these inhibitors. d, Negative stain EM shows hIAPP S20G fibrils present after 3 days of incubation with N4Gm-B, suggesting that fibril formation of hIAPP S20G is not fully eliminated when longer incubation times are examined (compared to 20 hours shown in Fig. 3e). Data for graphs in b are available as source data.

Source data

Extended Data Fig. 8 Connection of N-terminal density.

Slices of 3D maps of the final reconstruction (left) and an earlier reconstruction with lower resolution (right). The positions that represent N-terminus of Model 1 and Model 2 are indicated by arrows. Note the weak density that represents the flexible N-terminus of hIAPP seems to connect to the position that represents the N-terminus of Model 2 in the final reconstruction (left); whereas in the lower resolution reconstruction (right), the weak density seems to connect to the position of N-terminus of Model 1.

Supplementary information

Supplementary Information

Supplementary Tables 1−4 and Supplementary Note 1.

Reporting Summary

Peer Review Information

Supplementary Data 1

Coordinates of model 2.

Supplementary Data 2

Coordinates of model 1 (swap).

Supplementary Data 3

Coordinates of model 2 (swap).

Source data

Source Data Fig. 3

Statistical source data for Fig.3b,d

Source Data Extended Data Fig. 1

Statistical source data for Extended Data Fig. 1e,f

Source Data Extended Data Fig. 7

Statistical source data for Extended Data Fig. 7b

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cao, Q., Boyer, D.R., Sawaya, M.R. et al. Cryo-EM structure and inhibitor design of human IAPP (amylin) fibrils. Nat Struct Mol Biol 27, 653–659 (2020). https://doi.org/10.1038/s41594-020-0435-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41594-020-0435-3

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing