The probabilistic model of Alzheimer disease: the amyloid hypothesis revised

The amyloid hypothesis has been the dominant model for the pathogenesis of Alzheimer disease for several decades. In this Perspective, Giovanni Frisoni and colleagues examine evidence for and against this hypothesis before outlining an alternative model, the probabilistic model of Alzheimer disease. The current conceptualization of Alzheimer disease (AD) is driven by the amyloid hypothesis, in which a deterministic chain of events leads from amyloid deposition and then tau deposition to neurodegeneration and progressive cognitive impairment. This model fits autosomal dominant AD but is less applicable to sporadic AD. Owing to emerging information regarding the complex biology of AD and the challenges of developing amyloid-targeting drugs, the amyloid hypothesis needs to be reconsidered. Here we propose a probabilistic model of AD in which three variants of AD (autosomal dominant AD, APOE epsilon 4-related sporadic AD and APOE epsilon 4-unrelated sporadic AD) feature decreasing penetrance and decreasing weight of the amyloid pathophysiological cascade, and increasing weight of stochastic factors (environmental exposures and lower-risk genes). Together, these variants account for a large share of the neuropathological and clinical variability observed in people with AD. The implementation of this model in research might lead to a better understanding of disease pathophysiology, a revision of the current clinical taxonomy and accelerated development of strategies to prevent and treat AD.

Automated summary

The amyloid hypothesis has long been the leading model for the pathogenesis of Alzheimer's disease, but a probabilistic model is proposed as an alternative due to the increasing understanding of the complex biology of Alzheimer's disease. This new model suggests that genetic factors, environmental exposures, and lower-risk genes play significant roles in different types of Alzheimer's disease, leading to a better understanding of disease pathophysiology and potentially accelerating the development of prevention and treatment strategies.