PreprintCited by 2Alzheimer's disease research and treatmentsProtein Structure and DynamicsPrion Diseases and Protein Misfolding

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Residue-Specific Modulation of Aggregation-Associated Interactions by Spermine in Tau, α-Synuclein, and Aβ40

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Saha, Debasis, Xun, Sun, Luo, Jinghui, Zheng, Wenwei·2025·JACS Au

Preprint — published as 10.1021/jacsau.6c00126 · Paper page

Abstract

Preventing neurodegenerative diseases associated with intrinsically disordered proteins (IDPs) remains a major challenge due to the lack of a detailed, sequence-level picture of disease-relevant structures formation and the influence of cellular factors that modulate these transitions. Here, we probe spermine (Spm), a +4 charged polyamine abundant in cells, to determine how it reshapes the conformational ensembles and fibril-associated contact propensities of three disease-linked IDPs: the K18 domain of Tau, α-synuclein (αS) and amyloid-β40 (Aβ40). Using long all-atom molecular dynamics simulations across a range of Spm concentrations, we quantify residue-level changes in intra-chain contacts relative to native contacts observed in fibrils, and corroborate computational predictions with ThT fluorescence assays for Tau constructs. Spm acts in a sequence-and region-specific manner, not simply through overall net charge. In K18, Spm binds near the fourth microtubule binding repeat, disrupting intra-chain contacts associated with Alzheimer’s fibril structures and thereby inhibiting aggregation. In αS, Spm binds mainly to acidic residues in the C-terminal half of the sequence and redistributes intramolecular contacts in a way that increases contact propensity in the central aggregation-prone region and therefore aggregation, in line with previous studies showing Spm-enhanced αS aggregation. For Aβ40, Spm neutralizes acidic residues near positions 22–24 and shifts the balance of intra-chain interactions toward its aggregation-prone core, resulting in a net promotion of fibril-like conformations. These divergent effects show that net charge alone cannot predict polyamine influence on IDPs. Instead, residue-specific binding hotspots and local reweighting of aggregation-linked contacts determine whether Spm promotes or suppresses fibril-like conformations. This combined simulation–experimental framework provides a mechanistic basis for how small molecules reprogram IDP conformational ensembles and suggests principles for designing ligands that exploit similar residue-level modulation.

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  1. 10.1016/0896-6273(89)90210-9 · DOI · Paper page
  2. 10.1038/s41586-018-0454-y · DOI
  3. 10.1111/nan.12213 · DOI
  4. 10.1073/pnas.1514475112 · DOI
  5. 10.1046/j.1471-4159.2001.00021.x · DOI
  6. 10.1126/science.1072994 · DOI · Paper page
  7. 10.1007/s10858-007-9176-4 · DOI
  8. 10.1073/pnas.0806270105 · DOI
  9. 10.3233/JPD-179005 · DOI
  10. 10.1038/nrd.2017.155 · DOI · Paper page
  11. 10.1186/1750-1326-10-1 · DOI · Paper page
  12. 10.1016/j.neurobiolaging.2014.03.024 · DOI
  13. 10.1038/nsmb.1799 · DOI · Paper page
  14. 10.3389/FNEUR.2013.00102 · DOI
  15. 10.1038/nrn3406 · DOI
  16. 10.1021/cr400695p · DOI
  17. 10.1016/j.tibs.2014.10.005 · DOI
  18. 10.1021/acs.chemrev.4c00969 · DOI
  19. 10.1038/nature05695 · DOI
  20. 10.1038/nature10154 · DOI
  21. 10.1038/nchem.2889 · DOI
  22. 10.1021/ACSCENTSCI.3C01196/ASSET/IMAGES/LARGE/OC3C01196_0009.JPEG · DOI
  23. 10.1021/ACSCHEMBIO.2C00012 · DOI
  24. 10.1152/AJPCELL.1982.243.5.C212 · DOI
  25. 1981, Effect of Polyamines on the Fidelity of Macromolecular Synthesis, Med Biol, 59, 368
  26. 10.1074/jbc.271.10.5656 · DOI
  27. 10.1038/s43587-022-00322-9 · DOI
  28. 10.1016/0304-3940(95)11881-V · DOI
  29. 10.1074/jbc.M208249200 · DOI
  30. 10.1021/cn300170x · DOI
  31. 10.1186/s13195-019-0485-0 · DOI · Paper page
  32. 10.1172/JCI126299 · DOI
  33. 10.1021/JACSAU.1C00536/SUPPL_FILE/AU1C00536_SI_002.XLSX · DOI
  34. 10.1021/ct500569b · DOI
  35. 10.1038/s41467-024-46446-x · DOI
  36. 10.1038/s41467-025-65426-3 · DOI
  37. 10.1007/s10858-010-9433-9 · DOI
  38. 10.1006/jsbi.2000.4270 · DOI
  39. 10.1084/jem.20160833 · DOI · Paper page
  40. 10.1038/nature23002 · DOI · Paper page
  41. 10.1038/s41586-020-2043-0 · DOI
  42. 10.1038/197192b0 · DOI · Paper page
  43. 10.1073/pnas.88.6.2288 · DOI
  44. 10.1073/pnas.85.13.4884 · DOI
  45. 10.7554/ELIFE.76494 · DOI
  46. 10.1007/s00401-021-02294-3 · DOI
  47. 10.1038/s41586-022-05319-3 · DOI
  48. 10.1038/s41586-020-2317-6 · DOI
  49. 10.1074/jbc.M110551200 · DOI
  50. 10.1073/pnas.0905007106 · DOI
  51. 10.1038/s41467-019-10295-w · DOI
  52. 10.1186/S40478-023-01694-8/FIGURES/5 · DOI
  53. 10.1074/jbc.M501565200 · DOI · Paper page
  54. 10.1021/ACS.JPCLETT.1C00208/ASSET/IMAGES/LARGE/JZ1C00208_0005.JPEG · DOI
  55. 10.1073/pnas.0407146102 · DOI
  56. Sun, X. ; Saha, D. ; Wang, X. ; Mörman, C. ; Sternke-Hoffmann, R. ; Gerez, J. A. ; Herranz-Trillo, F. ; Riek, R. ; Zheng, W. ; Luo, J . Spermine Modulation of Alzheimer’s Tau and Parkinson’s α-Synuclein: Implications for Biomolecular Condensation and Neurodegeneratio. Nat Commun 2025, In press. · DOI
  57. 10.1002/advs.202308279 · DOI
  58. 10.1073/pnas.0703676104 · DOI
  59. 10.1021/bi800900d · DOI
  60. 10.1021/jacs.1c03078 · DOI
  61. 10.1016/j.bpj.2012.09.032 · DOI
  62. 10.1021/bi010616g · DOI
  63. De Gennes, P. G. Scaling Concepts in Polymer Physics. Cornell University Press. Ithaca N.Y., 1979, 324.
  64. Flory, P. J. Principles of Polymer Chemistry; Cornell University Press, 1953.
  65. 10.1073/pnas.1207719109 · DOI
  66. 10.1063/1.5006954 · DOI
  67. 10.1074/jbc.M501565200 · DOI · Paper page
  68. 10.1002/anie.201309001 · DOI
  69. 10.1073/pnas.2106210118 · DOI
  70. 10.1038/s41594-020-0384-x · DOI
  71. 10.1074/jbc.M105196200 · DOI
  72. 10.1038/s41586-019-1026-5 · DOI
  73. 10.1038/s41467-019-10295-w · DOI
  74. 10.1021/acschemneuro.2c00602 · DOI
  75. 10.1039/C8SC01109E · DOI
  76. 10.1021/bi048453u · DOI
  77. 10.1021/ACS.JCIM.3C00694/SUPPL_FILE/CI3C00694_SI_001.PDF · DOI
  78. 10.1021/bi7000032 · DOI · Paper page
  79. 10.1371/JOURNAL.PONE.0030510 · DOI
  80. 10.1038/s41467-022-33957-8 · DOI
  81. 10.1002/jcc.20291 · DOI
  82. 10.1016/j.softx.2015.06.001 · DOI · Paper page
  83. 10.1063/1.2121687 · DOI
  84. 10.1002/jcc.20035 · DOI
  85. 10.1016/j.jmgm.2005.12.005 · DOI
  86. 10.1021/j100142a004 · DOI
  87. 10.1063/1.448118 · DOI
  88. 10.1063/1.2408420 · DOI
  89. 10.1038/sj.emboj.7600211 · DOI
  90. 10.1063/1.328693 · DOI
  91. 10.1063/1.464397 · DOI
  92. 10.1002/bip.360221211 · DOI · Paper page
  93. 10.1016/j.bbrc.2014.01.161 · DOI
  94. 10.7554/ELIFE.76494 · DOI
  95. 10.1038/nature23002 · DOI · Paper page
  96. 10.1007/s00401-018-1914-z · DOI · Paper page
  97. 10.1007/s00401-021-02294-3 · DOI
  98. 10.1038/s41586-019-1026-5 · DOI
  99. 10.1038/s41586-020-2043-0 · DOI
  100. 10.1038/s41586-018-0454-y · DOI
  101. 10.7554/eLife.48907 · DOI
  102. 10.1038/s41586-020-2317-6 · DOI
  103. 10.7554/eLife.36402 · DOI
  104. 10.1038/s41586-022-05319-3 · DOI

Metadata

Authors
Saha, D., Xun, S., Luo, J., & Zheng, W.
Affiliations
  • Arizona State University (US)
  • Center for Life Sciences, Paul Scherrer Institute, Forschungsstrasse 111, 5232 Villigen PSI, Switzerland
  • Paul Scherrer Institute (CH)
Corresponding author
  • Saha, Debasis
  • Zheng, Wenwei
Venue
JACS Au
Publisher
openRxiv
Published
2025-12-25
Volume
6
Issue
3
Pages
2040-2054
ISSN
2691-3704 (ISSN-L)
OpenAlex
W7135024769
Cited by
2
References
1
Citations by year
2026: 2
FWCI
9.03
Type
journal article
Language
en
Open access
Locations
  • JACS Au (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • DORA PSI (Paul Scherrer Institute) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health (R35GM146814)
  • Swiss National Scientific Foundation (10002967)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Prion Diseases and Protein Misfolding
Keywords
spermine, polyamines, intrinsically disordered proteins, protein aggregation, alpha-synuclein, Aβ40, fibril formation, microtubule-binding repeats, Alzheimer's disease, Parkinson's disease, ligand design, conformational ensembles

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