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A century-old debate on protein aggregation and neurodegeneration enters the clinic

Author

Listed:
  • Peter T. Lansbury

    (Harvard Medical School and Brigham and Women's Hospital
    Link Medicine)

  • Hilal A. Lashuel

    (Laboratory of Molecular Neurobiology and Neuroproteomics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL))

Abstract

The correlation between neurodegenerative disease and protein aggregation in the brain has long been recognized, but a causal relationship has not been unequivocally established, in part because a discrete pathogenic aggregate has not been identified. The complexity of these diseases and the dynamic nature of protein aggregation mean that, despite progress towards understanding aggregation, its relationship to disease is difficult to determine in the laboratory. Nevertheless, drug candidates that inhibit aggregation are now being tested in the clinic. These have the potential to slow the progression of Alzheimer's disease, Parkinson's disease and related disorders and could, if administered presymptomatically, drastically reduce the incidence of these diseases. The clinical trials could also settle the century-old debate about causality.

Suggested Citation

  • Peter T. Lansbury & Hilal A. Lashuel, 2006. "A century-old debate on protein aggregation and neurodegeneration enters the clinic," Nature, Nature, vol. 443(7113), pages 774-779, October.
    • Handle: RePEc:nat:nature:v:443:y:2006:i:7113:d:10.1038_nature05290
    DOI: 10.1038/nature05290
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    Cited by:

    1. Mookyung Cheon & Iksoo Chang & Sandipan Mohanty & Leila M Luheshi & Christopher M Dobson & Michele Vendruscolo & Giorgio Favrin, 2007. "Structural Reorganisation and Potential Toxicity of Oligomeric Species Formed during the Assembly of Amyloid Fibrils," PLOS Computational Biology, Public Library of Science, vol. 3(9), pages 1-12, September.
    2. Li, Huixia & Zhao, Hongyong, 2022. "Mathematical model of Alzheimer’s disease with prion proteins interactions and treatment," Applied Mathematics and Computation, Elsevier, vol. 433(C).

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