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. 2025 Aug;52(10):3578-3590.
doi: 10.1007/s00259-025-07270-7. Epub 2025 Apr 23.

Quantification of baseline amyloid PET in individuals with subjective cognitive decline can identify risk of amyloid accumulation and cognitive worsening: the FACEHBI study

Collaborators, Affiliations

Quantification of baseline amyloid PET in individuals with subjective cognitive decline can identify risk of amyloid accumulation and cognitive worsening: the FACEHBI study

Guilherme Domingues Kolinger et al. Eur J Nucl Med Mol Imaging. 2025 Aug.

Abstract

Purpose: Amyloid PET imaging is capable of measuring brain amyloid load in vivo. The aim of this study is to assess the relationship of the baseline amyloid with its accumulation over time and with cognition in individuals with subjective cognitive decline (SCD), giving a focus on those below Aβ positivity thresholds.

Methods: 118 of 197 individuals with SCD from the Fundació ACE Healthy Brain Initiative underwent three [18F]florbetaben scans and the remaining 79 underwent two scans in a 5-year span. Individuals were categorised based on baseline Centiloid values (CL) into amyloid positive (Aβ+; CL > 35.7), Grey Zone (GZ; 20 < CL ≤ 35.7), and amyloid negative (Aβ-; CL ≤ 20). Relationship between conversion to mild cognitive decline (MCI) and baseline amyloid levels was assessed. Then, to focus on sub-threshold individuals with amyloid accumulation, the Aβ- group was split into two groups (N1 (CL ≤ 13.5) and N2 (13.5 < CL ≤ 20)), Aβ accumulation was determined, and a parametric image analysis of the Aβ accumulators in the N1 group was performed.

Results: At baseline, 20 individuals were Aβ+, 8 GZ, 160 N1, and 9 N2. Higher Aβ load, older and less educated individuals presented increased risk of MCI-conversion. Longitudinally, 19% of N1 individuals were accumulators despite very low Aβ burden at baseline. Meanwhile, 89% of the N2 group accumulated Aβ as well as all GZ individuals (which had the highest rate of amyloid accumulation, 5.1 CL/year). In the parametric image analysis of N1 accumulators, a region within the precuneus was linked to increased Aβ over time.

Conclusion: Baseline amyloid levels differentiate individuals who accumulate amyloid over time and that are at risk for cognitive decline, including those at sub-threshold levels of Aβ. This can be valuable to identify pre-clinical AD in a SCD population.

Keywords: Alzheimer’s disease; Amyloid PET; FACEHBI; Florbetaben; Longitudinal study; Subjective Cognitive Decline.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: A written consent was obtained from all participants prior to the enrolment in the study. The FACEHBI protocol received approval from the ethics committees of Hospital Clínic i Provincial in Barcelona, Spain (EudraCT number 2014–00079 - 38). The referral centre ethics committee approved the patient recruitment, and collection protocols were in accordance with ethical standards according to World Medical Association Declaration of Helsinki—Ethical Principles for Medical Research Involving Human Subjects. Consent to publish: Not applicable. Competing interests: AR is member of the scientific advisory board of Landsteiner Genmed and Grifols SA. AR has stocks of Landsteiner Genmed. MB has consulted for Araclon, Avid, Grifols, Lilly, Nutricia, Roche, Eisai and Servier. She received fees from lectures and funds for research from Araclon, Biogen, Grifols, Nutricia, Roche and Servier. She reports grants/research funding from Abbvie, Araclon, Biogen Research Limited, Bioiberica, Grifols, Lilly, S.A, Merck Sharp & Dohme, Kyowa Hakko Kirin, Laboratorios Servier, Nutricia SRL, Oryzon Genomics, Piramal Imaging Limited, Roche Pharma SA, and Schwabe Farma Iberica SLU, all outside the submitted work. She has not received personal compensations from these organizations. MM has consulted for F. Hoffmann-La Roche Ltd and is a member of the Scientific Advisory Board of Biomarkers of Araclon. GDK, NRV, EPM, NK, AS and SB are employees of Life Molecular Imaging GmbH. The rest of authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
FACEHBI study timeline
Fig. 2
Fig. 2
Centiloid classification, split into groups, and the sequential steps of the analyses carried in this study. Number of individuals in each group at baseline is indicated with an asterisk
Fig. 3
Fig. 3
Histogram of Centiloid values at baseline. Vertical lines display the cut-offs for Aβ- (CL ≤ 20, blue) and Aβ+ (CL > 35.7 red)
Fig. 4
Fig. 4
A Cox Proportional Hazard analysis of the risk of SCD to MCI conversion based on the CL level at baseline, age, and education. B Kaplan-Meyer-like adjusted curves indicating the likelihood of remaining SCD over time
Fig. 5
Fig. 5
Longitudinal change in CL. Individuals that changed classification between first and last scan are highlighted in yellow, orange or red depending on their progression. Horizontal dashed lines show the cut-off for Aβ- (CL ≤ 20) and Aβ+ (CL > 35.7) scans. Individuals that were Aβ+ at baseline are displayed in slightly darker grey
Fig. 6
Fig. 6
Visualisation of the Linear Mixed Model results (lines) with the measured CL values (dots). The dashed lines correspond to individual-level results and the full lines are group-level results
Fig. 7
Fig. 7
Histogram of the CL ARC for the whole cohort fitted with a 2-curve GMM
Fig. 8
Fig. 8
Centiloid annualised rate of accumulation (CL ARC) as function of measured baseline CL. Colours indicate amyloid level groups and dashed vertical lines indicate thresholds for grouping at CL below 13.5 (purple), below 20 (blue), below 35.7 (green) and above 35.7 (red). Dashed horizontal line shows the cut-off for CL ARC classification of individuals with Aβ accumulation. Those considered accumulators are indicated by the triangular symbol
Fig. 9
Fig. 9
Volume with higher baseline signal for N1 accumulators and N1 non-accumulators of amyloid (red line) overlayed on the scan of an N1 accumulator (MNI space). Grey scale shows SUVR range. Blue line shows the Centiloid target region and the green line shows the reference region (whole cerebellum)

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