A harmonized longitudinal biomarkers and cognition database for assessing the natural history of preclinical Alzheimer's disease from young adulthood and for designing prevention trials

the Dominantly Inherited Alzheimer Network

Research output: Contribution to journalArticle

Abstract

Introduction: Large longitudinal biomarkers database focusing on middle age is needed for Alzheimer's disease (AD) prevention. Methods: Data for cerebrospinal fluid analytes, molecular imaging of cerebral fibrillar β-amyloid with positron emission tomography, magnetic resonance imaging–based brain structures, and clinical/cognitive outcomes were harmonized across eight AD biomarker studies. Statistical power was estimated. Results: The harmonized database included 7779 participants with clinical/cognitive data: 3542 were 18∼65 years at the baseline, 5865 had longitudinal cognitive data for a median of 4.7 years, 2473 participated in the cerebrospinal fluid studies (906 had longitudinal data), 2496 participated in the magnetic resonance imaging studies (1283 had longitudinal data), and 1498 participated in the positron emission tomography amyloid studies (849 had longitudinal data). The database provides adequate power for detecting early biomarker changes, and demonstrates the feasibility of AD prevention trials on middle-aged individuals. Discussion: The harmonized database is an optimum resource to design AD prevention trials decades before symptomatic onset.

Original languageEnglish (US)
Pages (from-to)1448-1457
Number of pages10
JournalAlzheimer's and Dementia
Volume15
Issue number11
DOIs
StatePublished - Nov 2019

Keywords

  • Alzheimer disease
  • Amyloid imaging with positron emission tomography (PET) using the [C] benzothiazole tracer
  • Biomarkers
  • Cerebrospinal fluid (CSF)
  • Magnetic resonance imaging (MRI) volumetrics
  • Pittsburgh Compound-B (PIB)
  • Preclinical stages
  • Prevention trials

ASJC Scopus subject areas

  • Epidemiology
  • Health Policy
  • Developmental Neuroscience
  • Clinical Neurology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

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