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The amyloid cascade hypothesis: an updated critical review.

Kasper P KeppNikolaos K RobakisPoul F Høilund-CarlsenStefano Luca SensiBryce Vissel
Published in: Brain : a journal of neurology (2023)
Results from recent clinical trials of antibodies that target β-amyloid (Aβ) for Alzheimer's disease (AD) have created excitement and have been heralded as corroboration of the amyloid cascade hypothesis. However, while Aβ may contribute to disease, genetic, clinical, imaging, and biochemical data suggest a more complex etiology. Here we review the history and weaknesses of the amyloid cascade hypothesis in view of the new evidence obtained from clinical trials of anti-amyloid antibodies. These trials indicate that the treatments have either no or uncertain clinical effect on cognition. Despite the importance of amyloid in the definition of AD, we argue that the data point to Aβ and amyloid playing a minor etiological role. We also discuss data suggesting that the concerted activity of many pathogenic factors contribute to AD and propose that evolving multi-factor disease models will better underpin the search for more effective strategies to treat the disease.
Keyphrases
  • clinical trial
  • electronic health record
  • big data
  • cognitive decline
  • machine learning
  • high resolution
  • deep learning
  • genome wide
  • dna methylation
  • artificial intelligence
  • open label