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Biological age acceleration associates with Alzheimer's disease plasma biomarker levels

  • Jaclyn M. Eissman
  • , Yiyi Ma
  • , Min Qiao
  • , Dolly Reyes-Dumeyer
  • , Angel Piriz
  • , Annie J. Lee
  • , Rafael A. Lantigua
  • , Martin Medrano
  • , Diones Rivera Mejia
  • , Lawrence S. Honig
  • , Francine Grodstein
  • , David A. Bennett
  • , Philip L. De Jager
  • , Clifton L. Dalgard
  • , Richard Mayeux
  • , Badri N. Vardarajan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

INTRODUCTION: Epigenetic clocks associate with neuropathology and Alzheimer's disease (AD) clinical risk, but findings are mixed regarding whether clocks associate with blood-based biomarkers and in non-European populations. METHODS: We calculated biological age and age acceleration from blood methylation data in 704 older Hispanic adults and tested associations with clinical diagnosis and antemortem biomarker levels. RESULTS: Age acceleration was significantly associated with sex, clinical diagnosis, and levels of eight plasma biomarkers, including P-tau217 levels. Additionally, biomarker associations trended more significantly among APOE-ε4 non-carriers. We also identified that methylation levels in CD4 and CD8 T-cell types are associated with age acceleration. DISCUSSION: We demonstrated that biological age acceleration, measured in blood, in a Hispanic cohort enriched for preclinical individuals, can stratify clinical AD risk and is associated with plasma AD biomarker levels. Highlights: Blood-based aging clocks associate with Alzheimer's disease plasma biomarker levels. Biological aging appears relevant to pathological aging in apolipoprotein E (APOE) -ε4 non-carriers. Immune T-cell composition relates to biological aging.

Original languageEnglish
Article numbere71005
JournalAlzheimer's and Dementia
Volume22
Issue number1
DOIs
StatePublished - Jan 2026

Keywords

  • Alzheimer's disease
  • age acceleration
  • biological aging
  • epigenetic clocks
  • methylation
  • plasma biomarkers
  • preclinical disease
  • risk stratification

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