TY - JOUR
T1 - Continuous β-Amyloid CSF/PET Imbalance Model to Capture Alzheimer Disease Heterogeneity
AU - Mastenbroek, Sophie E.
AU - Sala, Arianna
AU - Vállez García, David
AU - Shekari, Mahnaz
AU - Salvadó, Gemma
AU - Lorenzini, Luigi
AU - Pieperhoff, Leonard
AU - Wink, Alle Meije
AU - Lopes Alves, Isadora
AU - Wolz, Robin
AU - Ritchie, Craig
AU - Boada, Mercè
AU - Visser, Pieter Jelle
AU - Bucci, Marco
AU - Farrar, Gill
AU - Hansson, Oskar
AU - Nordberg, Agneta K.
AU - Ossenkoppele, Rik
AU - Barkhof, Frederik
AU - Gispert, Juan Domingo
AU - Rodriguez-Vieitez, Elena
AU - Collij, Lyduine E.
AU - Alzheimer's Disease Neuroimaging Initiative on behalf of the AMYPAD consortium
N1 - Publisher Copyright:
Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
PY - 2024/6/11
Y1 - 2024/6/11
N2 - Background and ObjectivesDiscordance between CSF and PET biomarkers of β-amyloid (Aβ) might reflect an imbalance between soluble and aggregated species, possibly reflecting disease heterogeneity. Previous studies generally used binary cutoffs to assess discrepancies in CSF/PET biomarkers, resulting in a loss of information on the extent of discordance. In this study, we (1) jointly modeled Aβ-CSF/PET data to derive a continuous measure of the imbalance between soluble and fibrillar pools of Aβ, (2) investigated factors contributing to this imbalance, and (3) examined associations with cognitive trajectories.MethodsAcross 822 cognitively unimpaired (n = 261) and cognitively impaired (n = 561) Alzheimer's Disease Neuroimaging Initiative individuals (384 [46.7%] females, mean age 73.0 ± 7.4 years), we fitted baseline CSF-Aβ42 and global Aβ-PET to a hyperbolic regression model, deriving a participant-specific Aβ-aggregation score (standardized residuals); negative values represent more soluble relative to aggregated Aβ and positive values more aggregated relative to soluble Aβ. Using linear models, we investigated whether methodological factors, demographics, CSF biomarkers, and vascular burden contributed to Aβ-aggregation scores. With linear mixed models, we assessed whether Aβ-aggregation scores were predictive of cognitive functioning. Analyses were repeated in an early independent validation cohort of 383 Amyloid Imaging to Prevent Alzheimer's Disease Prognostic and Natural History Study individuals (224 [58.5%] females, mean age 65.2 ± 6.9 years).ResultsThe imbalance model could be fit (pseudo-R2 = 0.94) in both cohorts, across CSF kits and PET tracers. Although no associations were observed with the main methodological factors, lower Aβ-aggregation scores were associated with larger ventricular volume (β = 0.13, p < 0.001), male sex (β =-0.18, p = 0.019), and homozygous APOE-ϵ4 carriership (β =-0.56, p < 0.001), whereas higher scores were associated with increased uncorrected CSF p-tau (β = 0.17, p < 0.001) and t-tau (β = 0.16, p < 0.001), better baseline executive functioning (β = 0.12, p < 0.001), and slower global cognitive decline (β = 0.14, p = 0.006). In the validation cohort, we replicated the associations with APOE-ϵ4, CSF t-tau, and, although modestly, with cognition.DiscussionWe propose a novel continuous model of Aβ CSF/PET biomarker imbalance, accurately describing heterogeneity in soluble vs aggregated Aβ pools in 2 independent cohorts across the full Aβ continuum. Aβ-aggregation scores were consistently associated with genetic and AD-associated CSF biomarkers, possibly reflecting disease heterogeneity beyond methodological influences.
AB - Background and ObjectivesDiscordance between CSF and PET biomarkers of β-amyloid (Aβ) might reflect an imbalance between soluble and aggregated species, possibly reflecting disease heterogeneity. Previous studies generally used binary cutoffs to assess discrepancies in CSF/PET biomarkers, resulting in a loss of information on the extent of discordance. In this study, we (1) jointly modeled Aβ-CSF/PET data to derive a continuous measure of the imbalance between soluble and fibrillar pools of Aβ, (2) investigated factors contributing to this imbalance, and (3) examined associations with cognitive trajectories.MethodsAcross 822 cognitively unimpaired (n = 261) and cognitively impaired (n = 561) Alzheimer's Disease Neuroimaging Initiative individuals (384 [46.7%] females, mean age 73.0 ± 7.4 years), we fitted baseline CSF-Aβ42 and global Aβ-PET to a hyperbolic regression model, deriving a participant-specific Aβ-aggregation score (standardized residuals); negative values represent more soluble relative to aggregated Aβ and positive values more aggregated relative to soluble Aβ. Using linear models, we investigated whether methodological factors, demographics, CSF biomarkers, and vascular burden contributed to Aβ-aggregation scores. With linear mixed models, we assessed whether Aβ-aggregation scores were predictive of cognitive functioning. Analyses were repeated in an early independent validation cohort of 383 Amyloid Imaging to Prevent Alzheimer's Disease Prognostic and Natural History Study individuals (224 [58.5%] females, mean age 65.2 ± 6.9 years).ResultsThe imbalance model could be fit (pseudo-R2 = 0.94) in both cohorts, across CSF kits and PET tracers. Although no associations were observed with the main methodological factors, lower Aβ-aggregation scores were associated with larger ventricular volume (β = 0.13, p < 0.001), male sex (β =-0.18, p = 0.019), and homozygous APOE-ϵ4 carriership (β =-0.56, p < 0.001), whereas higher scores were associated with increased uncorrected CSF p-tau (β = 0.17, p < 0.001) and t-tau (β = 0.16, p < 0.001), better baseline executive functioning (β = 0.12, p < 0.001), and slower global cognitive decline (β = 0.14, p = 0.006). In the validation cohort, we replicated the associations with APOE-ϵ4, CSF t-tau, and, although modestly, with cognition.DiscussionWe propose a novel continuous model of Aβ CSF/PET biomarker imbalance, accurately describing heterogeneity in soluble vs aggregated Aβ pools in 2 independent cohorts across the full Aβ continuum. Aβ-aggregation scores were consistently associated with genetic and AD-associated CSF biomarkers, possibly reflecting disease heterogeneity beyond methodological influences.
KW - Aged
KW - Aged, 80 and over
KW - Alzheimer Disease/cerebrospinal fluid
KW - Amyloid beta-Peptides/cerebrospinal fluid
KW - Biomarkers/cerebrospinal fluid
KW - Cognitive Dysfunction/cerebrospinal fluid
KW - Female
KW - Humans
KW - Male
KW - Middle Aged
KW - Peptide Fragments/cerebrospinal fluid
KW - Positron-Emission Tomography
UR - https://www.scopus.com/pages/publications/85199368968
U2 - 10.1212/WNL.0000000000209419
DO - 10.1212/WNL.0000000000209419
M3 - Article
C2 - 38862136
SN - 0028-3878
VL - 103
SP - e209419
JO - Neurology
JF - Neurology
IS - 1
M1 - e209419
ER -