Authors
Palani, R. S., Williams, C. G., Thacker, D., Silvers, R., Qian, F., Weinreb, P. H., Mueller, L. J., Linse, S., Griffin, R. G.
Abstract
Aducanumab, a human IgG1 antibody with plaque-clearing effects and modest clinical benefit, binds selectively to aggregated A{beta} via the N-terminal region. Yet, the molecular details of how the antibody engages A{beta}1-42 fibrils remain unresolved. Using magic-angle spinning nuclear magnetic resonance, we show that binding of aducanumab preserves the overall architecture of the A{beta}1-42 fibril core while inducing significant structural and dynamic perturbations in the N-terminal region. Antibody binding markedly reduces flexibility in this domain, with the appearance of sidechain resonances from residues D1, E3, and histidine (likely H6) in dipolar-based experiments. These sidechains--previously observed only in scalar-coupling spectra of the unbound state--indicate rigidification of residues that were dynamic. The interaction extends to S8 and Y10, indicating broader fibril engagement than the minimal epitope (residues 3-7) defined in fragment-based studies. Perturbations in the C-terminal segment (G37-A42) are consistent with its spatial proximity to the antibody-bound N-termini of neighboring monomers. Cryo-TEM images reveal fibrils bundling in the presence of aducanumab, consistent with lateral association via antibody cross-linking, supporting a model where surface coating and steric hindrance suppress secondary nucleation. This mode of action restricts monomer access to catalytic sites on fibril surface, resulting in partial inhibition (~three-fold reduction) of secondary nucleation. The effect depends on high avidity and relatively high stoichiometry, but is ultimately limited by antibody size relative to N-terminal spacing along the fibril. These findings provide atomic-level insights into aducanumab's binding mode and supply a structural framework for understanding antibody-mediated fibril recognition and for guiding next-generation therapies targeting A{beta} aggregates in Alzheimer's disease.
Preprint server:
bioRxiv
The authors list and abstract were imported from bioRxiv on 04 Nov 2025.
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