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Brain change trajectories in healthy adults correlate with Alzheimer’s related genetic variation and memory decline across life

  • Alzheimer’s Disease Neuroimaging Initiative
  • , the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing
  • University of Oslo
  • Lund University
  • University of Amsterdam
  • Umeå University
  • Donders Institute for Brain, Cognition and Behaviour
  • Department of Cardiovascular Medicine
  • Max Planck University College London Centre for Computational Psychiatry and Ageing Research
  • University of Geneva
  • University of Copenhagen, Denmark
  • Umeå Universitet
  • University of Oslo & Vitas Ltd
  • Mayo Clinic Rochester, MN
  • University of California, San Diego
  • University of California San Francisco
  • University of Melbourne
  • Edith Cowan University
  • Luleå University of Technology

Abstract

Throughout adulthood and ageing our brains undergo structural loss in an average pattern resembling faster atrophy in Alzheimer’s disease (AD). Using a longitudinal adult lifespan sample (aged 30-89; 2–7 timepoints) and four polygenic scores for AD, we show that change in AD-sensitive brain features correlates with genetic AD-risk and memory decline in healthy adults. We first show genetic risk links with more brain loss than expected for age in early Braak regions, and find this extends beyond APOE genotype. Next, we run machine learning on AD-control data from the Alzheimer’s Disease Neuroimaging Initiative using brain change trajectories conditioned on age, to identify AD-sensitive features and model their change in healthy adults. Genetic AD-risk linked with multivariate change across many AD-sensitive features, and we show most individuals over age ~50 are on an accelerated trajectory of brain loss in AD-sensitive regions. Finally, high genetic risk adults with elevated brain change showed more memory decline through adulthood, compared to high genetic risk adults with less brain change. Our findings suggest quantitative AD risk factors are detectable in healthy individuals, via a shared pattern of ageing- and AD-related neurodegeneration that occurs along a continuum and tracks memory decline through adulthood.

Original languageEnglish
Article number10651
JournalIET Communications
Volume15
Issue number1
ISSN1751-8628
DOIs
Publication statusPublished - 12.2024

Funding

FundersFunder number
Northern California Institute for Research and Education
Knut och Alice Wallenbergs Stiftelse
National Institute of Biomedical Imaging and Bioengineering
Rijksuniversiteit Groningen
Commonwealth Scientific and Industrial Research Organisation
Alzheimer's Disease Neuroimaging Initiative
National Institute on Aging
National Institutes of HealthU01 AG024904
Norges Forskningsråd249931
European Research Council283634, 725025, 313440
Horizon 2020732592
ZonMw10-000‐1002
UNINETT Sigma2302854
U.S. Department of DefenseW81XWH-12-2-0012

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Research Areas and Centers

    • Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
    • Research Area: Medical Genetics

    DFG Research Classification Scheme

    • 2.23-06 Molecular and Cellular Neurology and Neuropathology

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    • Lifebrain

      Bertram, L. (Principal Investigator (PI))

      01.01.16 → 31.12.21

      Project: International Projects › EU Joint Research

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