Evaluation of Blood-Based Plasma Biomarkers as Potential Markers of Amyloid Burden in Preclinical Alzheimer’s Disease

Author:

Winston Charisse N.1,Langford Oliver2,Levin Natalie1,Raman Rema2,Yarasheski Kevin3,West Tim3,Abdel-Latif Sara2,Donohue Michael2,Nakamura Akinori4,Toba Kenji56,Masters Colin L.7,Doecke James8,Sperling Reisa A.9,Aisen Paul S.2,Rissman Robert A.110

Affiliation:

1. Department of Neurosciences, University of California San Diego, La Jolla, CA, USA

2. Alzheimer’s Therapeutic Research Institute, Keck School of Medicine University of Southern California, San Diego, CA, USA

3. C N Diagnostics, St. Louis, MO, USA

4. Department of Biomarker Research, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan

5. National Center for Geriatrics and Gerontology, Obu, Aichi, Japan

6. Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan

7. The Florey Institute, The University of Melbourne, Parkville, VIC, Australia

8. The Commonwealth Scientific and Industrial Research Organization, Brisbane, QLD, Australia

9. Harvard Medical School, Boston, MA, USA

10. Department of Neurosciences, University of California San Diego and VA San Diego Healthcare System, La Jolla, CA, USA

Abstract

Background: Participant eligibility for the A4 Study was determined by amyloid PET imaging. Given the disadvantages of amyloid PET imaging in accessibility and cost, blood-based biomarkers may serve as a sufficient biomarker and more cost-effective screening tool for patient enrollment into preclinical AD trials. Objective: To determine if a blood-based screening test can adequately identify amyloid burden in participants screened into a preclinical AD trial. Methods: In this cross-sectional study, 224 participants from the A4 Study received an amyloid PET scan (18Florbetapir) within 90 days of blood sample collection. Blood samples from all study participants were processed within 2 h after phlebotomy. Plasma amyloid measures were quantified by Shimazdu and C2 N Diagnostics using mass spectrometry-based platforms. A corresponding subset of blood samples (n = 100) was processed within 24 h after phlebotomy and analyzed by C2 N. Results: Plasma Aβ42/Aβ40 demonstrated the highest association for Aβ accumulation in the brain with an AUC 0.76 (95%CI = 0.69, 0.82) at C2 N and 0.80 (95%CI = 0.75, 0.86) at Shimadzu. Blood samples processed to plasma within 2 h after phlebotomy provided a better prediction of amyloid PET status than blood samples processed within 24 h (AUC 0.80 versus 0.64; p < 0.001). Age, sex, and APOE ɛ4 carrier status did not the diagnostic performance of plasma Aβ42/Aβ40 to predict amyloid PET positivity in A4 Study participants. Conclusion: Plasma Aβ42/Aβ40 may serve as a potential biomarker for predicting elevated amyloid in the brain. Utilizing blood testing over PET imaging may improve screening efficiency into clinical trials.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

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