4.7 Article

Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease

期刊

ALZHEIMERS & DEMENTIA
卷 15, 期 6, 页码 764-775

出版社

WILEY
DOI: 10.1016/j.jalz.2019.03.009

关键词

Alzheimer's disease; Plasma amyloid beta; Simoa immunoassay; Machine learning; Subjective memory complainers; Amyloid PET; Classification and regression trees (CART)

资金

  1. program PHOENIX
  2. la Fondation pour la Recherche sur Alzheimer
  3. Agency for Innovation and Technology [IWT OO 140105]
  4. Flanders Innovation and Entrepreneurship [VLAIO 160548]
  5. European Research Council
  6. Medical Research Council (UK)
  7. INSERM
  8. CNRS
  9. AXA Research Fund
  10. Fondation partenariale Sorbonne Universite
  11. Fondation pour la Recherche sur Alzheimer, Paris, France
  12. Ce travail a beneficie d'une aide de l'Etat Investissements d'avenir [ANR-10-IAIHU-06]
  13. program Investissements d'avenir (Agence Nationale de la Recherche-10-IA Agence Institut Hospitalo-Universitaire-6) [ANR-10-IAIHU-06]
  14. Swedish Research Council
  15. Sorbonne Universite
  16. Investissement d'Avenir program [ANR-10-AIHU-06]
  17. Foundation Plan-Alzheimer
  18. AVID/Lilly
  19. Pfizer
  20. Avid
  21. MSD Avenir
  22. Functional Neuromodulation
  23. Axovant
  24. Eli Lilly and company
  25. Takeda
  26. Zinfandel
  27. GE-Healthcare
  28. Oryzon Genomics

向作者/读者索取更多资源

Introduction: Blood-based biomarkers of pathophysiological brain amyloid beta (A beta) accumulation, particularly for preclinical target and large-scale interventions, are warranted to effectively enrich Alzheimer's disease clinical trials and management. Methods: We investigated whether plasma concentrations of the A beta(1-40)/A beta(1-42) ratio, assessed using the single-molecule array (Simoa) immunoassay, may predict brain A beta positron emission tomography status in a large-scale longitudinal monocentric cohort (N = 276) of older individuals with subjective memory complaints. We performed a hypothesis-driven investigation followed by a no-apriori hypothesis study using machine learning. Results: The receiver operating characteristic curve and machine learning showed a balanced accuracy of 76.5% and 81%, respectively, for the plasma A beta(1-40)/A beta(1-42) ratio. The accuracy is not affected by the apolipoprotein E (APOE) epsilon 4 allele, sex, or age. Discussion: Our results encourage an independent validation cohort study to confirm the indication that the plasma A beta(1-40)/A beta(1-42) ratio, assessed via Simoa, may improve future standard of care and clinical trial design. (C) 2019 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

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