Continuous ß-Amyloid CSF/PET Imbalance Model to Capture Alzheimer Disease Heterogeneity

Sophie E Mastenbroek*, Arianna Sala, David Vállez García, Mahnaz Shekari, Gemma Salvadó, Luigi Lorenzini, Leonard Pieperhoff, Alle Meije Wink, Isadora Lopes Alves, Robin Wolz, Craig Ritchie, Mercè Boada, Pieter Jelle Visser, Marco Bucci, Gill Farrar, Oskar Hansson, Agneta K Nordberg, Rik Ossenkoppele, Frederik Barkhof, Juan Domingo GispertElena Rodriguez-Vieitez, Lyduine E Collij, Alzheimer's Disease Neuroimaging Initiative on behalf of the AMYPAD consortium

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.
Original languageEnglish
Article numbere209419
JournalNeurology
Volume103
Issue number1
DOIs
Publication statusPublished - 11 Jun 2024

Keywords

  • Humans
  • Alzheimer Disease/cerebrospinal fluid diagnostic imaging
  • Female
  • Male
  • Amyloid beta-Peptides/cerebrospinal fluid
  • Aged
  • Positron-Emission Tomography
  • Biomarkers/cerebrospinal fluid
  • Peptide Fragments/cerebrospinal fluid
  • Aged, 80 and over
  • Cognitive Dysfunction/cerebrospinal fluid diagnostic imaging
  • Middle Aged

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