TY - JOUR
T1 - Interactions between vascular burden and amyloid-β pathology on trajectories of tau accumulation
AU - Coomans, Emma M
AU - van Westen, Danielle
AU - Pichet Binette, Alexa
AU - Strandberg, Olof
AU - Spotorno, Nicola
AU - Serrano, Geidy E
AU - Beach, Thomas G
AU - Palmqvist, Sebastian
AU - Stomrud, Erik
AU - Ossenkoppele, Rik
AU - Hansson, Oskar
N1 - © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain.
PY - 2023/9/18
Y1 - 2023/9/18
N2 - Cerebrovascular pathology often co-exists with Alzheimer's disease pathology and can contribute to Alzheimer's disease-related clinical progression. However, the degree to which vascular burden contributes to Alzheimer's disease pathological progression is still unclear. This study aimed to investigate interactions between vascular burden and amyloid-β pathology on both baseline tau tangle load and longitudinal tau accumulation. We included 1,229 participants from the Swedish BioFINDER-2 Study, including cognitively unimpaired and impaired participants with and without biomarker-confirmed amyloid-β pathology. All underwent baseline tau-PET ([18F]RO948) and a subset (n = 677) underwent longitudinal tau-PET after 2.5 ± 1.0 years. Tau-PET uptake was computed for a temporal meta-region-of-interest. We focused on four main vascular imaging features and risk factors: microbleeds, white matter lesion volume, stroke-related events (infarcts, lacunes and haemorrhages), and the Framingham Heart Study Cardiovascular Disease risk score. To validate our in vivo results, we examined 1,610 autopsy cases from an Arizona-based neuropathology cohort on three main vascular pathological features: cerebral amyloid angiopathy, white matter rarefaction and infarcts. For the in vivo cohort, primary analyses included age-, sex- and APOE ε4-corrected linear mixed models between tau-PET (outcome) and interactions between time, amyloid-β and each vascular feature (predictors). For the neuropathology cohort, age-, sex- and APOE ε4-corrected linear models between tau tangle density (outcome) and an interaction between plaque density and each vascular feature (predictors) were performed. In cognitively unimpaired individuals, we observed a significant interaction between microbleeds and amyloid-β pathology on greater baseline tau load (β=0.68, p < 0.001) and longitudinal tau accumulation (β=0.11, p < 0.001). For white matter lesion volume, we did not observe a significant independent interaction effect with amyloid-β on tau after accounting for microbleeds. In cognitively unimpaired individuals we further found that stroke-related events showed a significant negative interaction with amyloid-β on longitudinal tau (β=-0.08, p < 0.001). In cognitively impaired individuals, there were no significant interaction effects between cerebrovascular and amyloid-β pathology at all. In the neuropathology dataset, the in-vivo observed interaction effects between cerebral amyloid angiopathy and plaque density (β=0.38, p < 0.001) and between infarcts and plaque density (β=-0.11, p = 0.005) on tau tangle density were replicated. To conclude, we demonstrated that cerebrovascular pathology - in the presence of amyloid-β pathology - modifies tau accumulation in early stages of Alzheimer's disease. More specifically, the co-occurrence of microbleeds and amyloid-β pathology was associated with greater accumulation of tau aggregates during early disease stages. This opens the possibility that interventions targeting microbleeds may attenuate the rate of tau accumulation in Alzheimer's disease.
AB - Cerebrovascular pathology often co-exists with Alzheimer's disease pathology and can contribute to Alzheimer's disease-related clinical progression. However, the degree to which vascular burden contributes to Alzheimer's disease pathological progression is still unclear. This study aimed to investigate interactions between vascular burden and amyloid-β pathology on both baseline tau tangle load and longitudinal tau accumulation. We included 1,229 participants from the Swedish BioFINDER-2 Study, including cognitively unimpaired and impaired participants with and without biomarker-confirmed amyloid-β pathology. All underwent baseline tau-PET ([18F]RO948) and a subset (n = 677) underwent longitudinal tau-PET after 2.5 ± 1.0 years. Tau-PET uptake was computed for a temporal meta-region-of-interest. We focused on four main vascular imaging features and risk factors: microbleeds, white matter lesion volume, stroke-related events (infarcts, lacunes and haemorrhages), and the Framingham Heart Study Cardiovascular Disease risk score. To validate our in vivo results, we examined 1,610 autopsy cases from an Arizona-based neuropathology cohort on three main vascular pathological features: cerebral amyloid angiopathy, white matter rarefaction and infarcts. For the in vivo cohort, primary analyses included age-, sex- and APOE ε4-corrected linear mixed models between tau-PET (outcome) and interactions between time, amyloid-β and each vascular feature (predictors). For the neuropathology cohort, age-, sex- and APOE ε4-corrected linear models between tau tangle density (outcome) and an interaction between plaque density and each vascular feature (predictors) were performed. In cognitively unimpaired individuals, we observed a significant interaction between microbleeds and amyloid-β pathology on greater baseline tau load (β=0.68, p < 0.001) and longitudinal tau accumulation (β=0.11, p < 0.001). For white matter lesion volume, we did not observe a significant independent interaction effect with amyloid-β on tau after accounting for microbleeds. In cognitively unimpaired individuals we further found that stroke-related events showed a significant negative interaction with amyloid-β on longitudinal tau (β=-0.08, p < 0.001). In cognitively impaired individuals, there were no significant interaction effects between cerebrovascular and amyloid-β pathology at all. In the neuropathology dataset, the in-vivo observed interaction effects between cerebral amyloid angiopathy and plaque density (β=0.38, p < 0.001) and between infarcts and plaque density (β=-0.11, p = 0.005) on tau tangle density were replicated. To conclude, we demonstrated that cerebrovascular pathology - in the presence of amyloid-β pathology - modifies tau accumulation in early stages of Alzheimer's disease. More specifically, the co-occurrence of microbleeds and amyloid-β pathology was associated with greater accumulation of tau aggregates during early disease stages. This opens the possibility that interventions targeting microbleeds may attenuate the rate of tau accumulation in Alzheimer's disease.
U2 - https://doi.org/10.1093/brain/awad317
DO - https://doi.org/10.1093/brain/awad317
M3 - Article
C2 - 37721482
SN - 0006-8950
JO - Brain
JF - Brain
ER -