TY - JOUR
T1 - Continuous ß-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
PY - 2024/6/11
Y1 - 2024/6/11
N2 - BACKGROUND AND OBJECTIVES: Discordance between CSF and PET biomarkers of ß-amyloid (Aß) 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 Aß-CSF/PET data to derive a continuous measure of the imbalance between soluble and fibrillar pools of Aß, (2) investigated factors contributing to this imbalance, and (3) examined associations with cognitive trajectories. METHODS: Across 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-Aß and global Aß-PET to a hyperbolic regression model, deriving a participant-specific Aß-aggregation score (standardized residuals); negative values represent more soluble relative to aggregated Aß and positive values more aggregated relative to soluble Aß. Using linear models, we investigated whether methodological factors, demographics, CSF biomarkers, and vascular burden contributed to Aß-aggregation scores. With linear mixed models, we assessed whether Aß-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). RESULTS: The imbalance model could be fit (pseudo- = 0.94) in both cohorts, across CSF kits and PET tracers. Although no associations were observed with the main methodological factors, lower Aß-aggregation scores were associated with larger ventricular volume (ß = 0.13, < 0.001), male sex (ß = -0.18, = 0.019), and homozygous -e4 carriership (ß = -0.56, < 0.001), whereas higher scores were associated with increased uncorrected CSF p-tau (ß = 0.17, < 0.001) and t-tau (ß = 0.16, < 0.001), better baseline executive functioning (ß = 0.12, < 0.001), and slower global cognitive decline (ß = 0.14, = 0.006). In the validation cohort, we replicated the associations with -e4, CSF t-tau, and, although modestly, with cognition. DISCUSSION: We propose a novel continuous model of Aß CSF/PET biomarker imbalance, accurately describing heterogeneity in soluble vs aggregated Aß pools in 2 independent cohorts across the full Aß continuum. Aß-aggregation scores were consistently associated with genetic and AD-associated CSF biomarkers, possibly reflecting disease heterogeneity beyond methodological influences.
AB - BACKGROUND AND OBJECTIVES: Discordance between CSF and PET biomarkers of ß-amyloid (Aß) 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 Aß-CSF/PET data to derive a continuous measure of the imbalance between soluble and fibrillar pools of Aß, (2) investigated factors contributing to this imbalance, and (3) examined associations with cognitive trajectories. METHODS: Across 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-Aß and global Aß-PET to a hyperbolic regression model, deriving a participant-specific Aß-aggregation score (standardized residuals); negative values represent more soluble relative to aggregated Aß and positive values more aggregated relative to soluble Aß. Using linear models, we investigated whether methodological factors, demographics, CSF biomarkers, and vascular burden contributed to Aß-aggregation scores. With linear mixed models, we assessed whether Aß-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). RESULTS: The imbalance model could be fit (pseudo- = 0.94) in both cohorts, across CSF kits and PET tracers. Although no associations were observed with the main methodological factors, lower Aß-aggregation scores were associated with larger ventricular volume (ß = 0.13, < 0.001), male sex (ß = -0.18, = 0.019), and homozygous -e4 carriership (ß = -0.56, < 0.001), whereas higher scores were associated with increased uncorrected CSF p-tau (ß = 0.17, < 0.001) and t-tau (ß = 0.16, < 0.001), better baseline executive functioning (ß = 0.12, < 0.001), and slower global cognitive decline (ß = 0.14, = 0.006). In the validation cohort, we replicated the associations with -e4, CSF t-tau, and, although modestly, with cognition. DISCUSSION: We propose a novel continuous model of Aß CSF/PET biomarker imbalance, accurately describing heterogeneity in soluble vs aggregated Aß pools in 2 independent cohorts across the full Aß continuum. Aß-aggregation scores were consistently associated with genetic and AD-associated CSF biomarkers, possibly reflecting disease heterogeneity beyond methodological influences.
KW - Humans
KW - Alzheimer Disease/cerebrospinal fluid diagnostic imaging
KW - Female
KW - Male
KW - Amyloid beta-Peptides/cerebrospinal fluid
KW - Aged
KW - Positron-Emission Tomography
KW - Biomarkers/cerebrospinal fluid
KW - Peptide Fragments/cerebrospinal fluid
KW - Aged, 80 and over
KW - Cognitive Dysfunction/cerebrospinal fluid diagnostic imaging
KW - Middle Aged
U2 - 10.1212/WNL.0000000000209419
DO - 10.1212/WNL.0000000000209419
M3 - Article
SN - 0028-3878
VL - 103
JO - Neurology
JF - Neurology
IS - 1
M1 - e209419
ER -