Login / Signup

Disease progression modelling reveals heterogeneity in trajectories of Lewy-type α-synuclein pathology.

Sophie E MastenbroekJacob W VogelLyduine E CollijGeidy E SerranoCécilia TremblayAlexandra L YoungRichard A ArceHolly A ShillErika D Driver-DunckleyShyamal H MehtaChristine M BeldenAlireza AtriParichita ChoudhuryFrederik BarkhofCharles H AdlerRik OssenkoppeleThomas G BeachOskar Hansson
Published in: Nature communications (2024)
Lewy body (LB) diseases, characterized by the aggregation of misfolded α-synuclein proteins, exhibit notable clinical heterogeneity. This may be due to variations in accumulation patterns of LB neuropathology. Here we apply a data-driven disease progression model to regional neuropathological LB density scores from 814 brain donors with Lewy pathology. We describe three inferred trajectories of LB pathology that are characterized by differing clinicopathological presentation and longitudinal antemortem clinical progression. Most donors (81.9%) show earliest pathology in the olfactory bulb, followed by accumulation in either limbic (60.8%) or brainstem (21.1%) regions. The remaining donors (18.1%) initially exhibit abnormalities in brainstem regions. Early limbic pathology is associated with Alzheimer's disease-associated characteristics while early brainstem pathology is associated with progressive motor impairment and substantial LB pathology outside of the brain. Our data provides evidence for heterogeneity in the temporal spread of LB pathology, possibly explaining some of the clinical disparities observed in Lewy body disease.
Keyphrases
  • parkinson disease
  • healthcare
  • cognitive decline
  • machine learning
  • deep learning
  • big data