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The in-tissue molecular architecture of β-amyloid pathology in the mammalian brain

Author

Listed:
  • Conny Leistner

    (University of Leeds)

  • Martin Wilkinson

    (University of Leeds)

  • Ailidh Burgess

    (University of Leeds
    Francis Crick Institute)

  • Megan Lovatt

    (University of Leeds)

  • Stanley Goodbody

    (University of Leeds)

  • Yong Xu

    (University of Leeds
    AstraZeneca)

  • Susan Deuchars

    (University of Leeds)

  • Sheena E. Radford

    (University of Leeds)

  • Neil A. Ranson

    (University of Leeds)

  • René A. W. Frank

    (University of Leeds)

Abstract

Amyloid plaques composed of Aβ fibrils are a hallmark of Alzheimer’s disease (AD). However, the molecular architecture of amyloid plaques in the context of fresh mammalian brain tissue is unknown. Here, using cryogenic correlated light and electron tomography we report the in situ molecular architecture of Aβ fibrils in the AppNL-G-F familial AD mouse model containing the Arctic mutation and an atomic model of ex vivo purified Arctic Aβ fibrils. We show that in-tissue Aβ fibrils are arranged in a lattice or parallel bundles, and are interdigitated by subcellular compartments, extracellular vesicles, extracellular droplets and extracellular multilamellar bodies. The Arctic Aβ fibril differs significantly from an earlier AppNL-F fibril structure, indicating a striking effect of the Arctic mutation. These structural data also revealed an ensemble of additional fibrillar species, including thin protofilament-like rods and branched fibrils. Together, these results provide a structural model for the dense network architecture that characterises β-amyloid plaque pathology.

Suggested Citation

  • Conny Leistner & Martin Wilkinson & Ailidh Burgess & Megan Lovatt & Stanley Goodbody & Yong Xu & Susan Deuchars & Sheena E. Radford & Neil A. Ranson & René A. W. Frank, 2023. "The in-tissue molecular architecture of β-amyloid pathology in the mammalian brain," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38495-5
    DOI: 10.1038/s41467-023-38495-5
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    References listed on IDEAS

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    1. Yun-Tao Liu & Heng Zhang & Hui Wang & Chang-Lu Tao & Guo-Qiang Bi & Z. Hong Zhou, 2022. "Isotropic reconstruction for electron tomography with deep learning," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
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    1. Nikolaos Louros & Martin Wilkinson & Grigoria Tsaka & Meine Ramakers & Chiara Morelli & Teresa Garcia & Rodrigo Gallardo & Sam D’Haeyer & Vera Goossens & Dominique Audenaert & Dietmar Rudolf Thal & Ia, 2024. "Local structural preferences in shaping tau amyloid polymorphism," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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