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. 2024 Jun 17;16(1):130.
doi: 10.1186/s13195-024-01494-9.

Amyloid-PET imaging predicts functional decline in clinically normal individuals

Affiliations

Amyloid-PET imaging predicts functional decline in clinically normal individuals

Lisa Quenon et al. Alzheimers Res Ther. .

Abstract

Background: There is good evidence that elevated amyloid-β (Aβ) positron emission tomography (PET) signal is associated with cognitive decline in clinically normal (CN) individuals. However, it is less well established whether there is an association between the Aβ burden and decline in daily living activities in this population. Moreover, Aβ-PET Centiloids (CL) thresholds that can optimally predict functional decline have not yet been established.

Methods: Cross-sectional and longitudinal analyses over a mean three-year timeframe were performed on the European amyloid-PET imaging AMYPAD-PNHS dataset that phenotypes 1260 individuals, including 1032 CN individuals and 228 participants with questionable functional impairment. Amyloid-PET was assessed continuously on the Centiloid (CL) scale and using Aβ groups (CL < 12 = Aβ-, 12 ≤ CL ≤ 50 = Aβ-intermediate/Aβ± , CL > 50 = Aβ+). Functional abilities were longitudinally assessed using the Clinical Dementia Rating (Global-CDR, CDR-SOB) and the Amsterdam Instrumental Activities of Daily Living Questionnaire (A-IADL-Q). The Global-CDR was available for the 1260 participants at baseline, while baseline CDR-SOB and A-IADL-Q scores and longitudinal functional data were available for different subsamples that had similar characteristics to those of the entire sample.

Results: Participants included 765 Aβ- (61%, Mdnage = 66.0, IQRage = 61.0-71.0; 59% women), 301 Aβ± (24%; Mdnage = 69.0, IQRage = 64.0-75.0; 53% women) and 194 Aβ+ individuals (15%, Mdnage = 73.0, IQRage = 68.0-78.0; 53% women). Cross-sectionally, CL values were associated with CDR outcomes. Longitudinally, baseline CL values predicted prospective changes in the CDR-SOB (bCL*Time = 0.001/CL/year, 95% CI [0.0005,0.0024], p = .003) and A-IADL-Q (bCL*Time = -0.010/CL/year, 95% CI [-0.016,-0.004], p = .002) scores in initially CN participants. Increased clinical progression (Global-CDR > 0) was mainly observed in Aβ+ CN individuals (HRAβ+ vs Aβ- = 2.55, 95% CI [1.16,5.60], p = .020). Optimal thresholds for predicting decline were found at 41 CL using the CDR-SOB (bAβ+ vs Aβ- = 0.137/year, 95% CI [0.069,0.206], p < .001) and 28 CL using the A-IADL-Q (bAβ+ vs Aβ- = -0.693/year, 95% CI [-1.179,-0.208], p = .005).

Conclusions: Amyloid-PET quantification supports the identification of CN individuals at risk of functional decline.

Trial registration: The AMYPAD PNHS is registered at www.clinicaltrialsregister.eu with the EudraCT Number: 2018-002277-22.

Keywords: Amyloid-PET; Centiloid; Functional decline; Instrumental activities of daily living; Preclinical Alzheimer.

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Conflict of interest statement

LEC has received research support from GE Healthcare (paid to institution).

JG has received research support from GE Healthcare, Roche Diagnostics, F. Hoffmann – La Roche and speaker’s fees from Biogen and Philips. In addition, he holds a “Ramón y Cajal” fellowship (RYC-2013-13054), has received research support from the EU/EFPIA Innovative Medicines Initiative Joint Undertaking AMYPAD grant agreement no 115952, and from Ministerio de Ciencia y Universidades (grant agreement RTI2018-102261).

FJ received payment/honoraria from Roche and Lilly. He has participated on a Data Safety Monitoring Board or Advisory Board for AC Immune, Biogen, Roche, Eisai, and Grifols.

PV has served as member of the advisory board of Roche Diagnostics and received nonfinancial support from GE Healthcare, research support from Biogen and grants from Bristol-Myers Squibb, EU/EFPIA Innovative Medicines Initiative Joint Undertaking, EU Joint Programme– Neurodegenerative Disease Research (JPND and ZonMw).

LF is an employee of Janssen Pharmaceuticals. Mark Schmidt is an employee of Janssen Pharmaceuticals.

CR has received fees for contributions to Advisory Boards from Biogen, Eisai, Eli Lilly, Roche, Roche Diagnostics, Actinogen, Alchemab, Merck, Kyowa Kirin, and Signant. His research has been supported by Janssen and Biogen. He was Chief Investigator of the IMI Funded EPAD project that had multiple EFPIA and SME partners.

MB has received funding support from the Instituto de Salud Carlos III (ISCIII) Acción Estratégica en Salud, integrated in the Spanish National RCDCI Plan and financed by ISCIII-Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER - Una manera de hacer Europa) grant PI17/01474. 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.

MM has received funding support from the Instituto de Salud Carlos III (ISCIII) Acción Estratégica en Salud, integrated in the Spanish National RCDCI Plan and financed by ISCIII-Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER - Una manera de hacer Europa) grant PI19/00335. MM has consulted for F. Hoffmann-La Roche Ltd. and was part of the Spanish Scientific Advisory Board for biomarkers o Araclon biotech.

RV institution has Clinical Trial Agreements (RV as PI) with Alector, Biogen, Janssen Pharmaceuticals, NovoNordisk, Prevail, Roche, UCB. RV’s institution has consultancy agreements (RV as DSMB member) with AC Immune and Novartis. RV was global PI of the Phase 1 and 2 18F-flutemetamol trials. RV’s institution had a material transfer agreement (RV as PI) with GEHC for free tracer delivery of the FPACK cohort baseline scans and with Avid Pharmaceuticals, an EliLilly subsidiary. AD Research support: Siemens Healthineers, Life Molecular Imaging, GE Healthcare, AVID Radiopharmaceuticals, Sofie, Eisai, Novartis/AAA. Speaker Honorary/Advisory Boards: Siemens Healthineers, Sanofi, GE Healthcare, Biogen, Novo Nordisk, Invicro, Novartis/AAA, Bayer Vital. Stock: Siemens Healthineers, Lantheus Holding. Patents: Patent pending for 18F-PSMA7 (PSMA PET imaging tracer).

MS has received fees for contributions to Advisory Boards from Biogen, Eisai, Eli Lilly, Roche, Roche Diagnostics, Actinogen, Alchemab, Merck, Kyowa Kirin and Signant. His research has been supported by Janssen and Biogen. He was Chief Investigator of the IMI Funded EPAD project that had multiple EFPIA and SME partners.

GBF reports grants from Avid Radiopharmaceuticals, Biogen, GE International, Guerbert, IXICO, Merz Pharma, Nestlé, Novartis, Eisai, Piramal, Roche, Siemens, Teva Pharmaceutical Industries, and Vifor Pharma; he has received personal fees from AstraZeneca, Avid Radiopharmaceuticals, Biogen, Roche, Diadem, Neurodiem, Elan Pharmaceuticals, GE International, Lundbeck, Pfizer, and TauRx Therapeutics.

AS and RG are employees of Life Molecular Imaging GmbH.

GF is an employee of GE Healthcare.

FB Steering committee or iDMC member for Biogen, Merck, Roche, EISAI and Prothena. Consultant for Roche, Biogen, Merck, IXICO, Jansen, Combinostics. Research agreements with Merck, Biogen, GE Healthcare, Roche. Co-founder and shareholder of Queen Square Analytics LTD.

BJH received consulting fees from Biogen, Roche and Eisai (paid to institution).

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Fig. 1
Fig. 1
CDR-SOB and A-IADL-Q trajectories over time in CN individuals depending on the baseline CL group. A CDR-SOB trajectories in each amyloid group. Higher scores indicate greater functional impairment. B A-IADL-Q trajectories in each amyloid group. Lower scores indicate greater functional impairment
Fig. 2
Fig. 2
Optimal data-driven thresholds for detecting functional decline on the CDR-SOB and the A-IADL-Q. A and C The Akaike information criterion (AIC) demonstrating the model fit depending on the tested cutoffs ranging from 15 to 50 CL for the CDR-SOB and the A-IADL-Q, respectively. B and D CDR-SOB and A-IADL-Q slopes, respectively, vs. Aβ- participants and their 95% CI for the Aβ+ and the Aβ± groups depending on the thresholds used for classifying participants as Aβ+ (participants were classified in the Aβ± group if their baseline CL value was between 12 CL and this cutoff)

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