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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Clinical Manifestations.

Amanda Cook Maher1,2, Robert Bartha3,4, Ivan Culum3,5

  • 1Michigan Alzheimer's Disease Research Center, Ann Arbor, MI, USA.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 25, 2025
PubMed
Summary
This summary is machine-generated.

The SuperAging Research Initiative is identifying factors for cognitive resilience in older adults. This study highlights successful recruitment and feasibility of novel data collection methods for understanding brain aging.

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Area of Science:

  • Neuroscience and Gerontology
  • Cognitive Aging Research

Background:

  • The SuperAging Research Initiative (SRI) is a 2021 multisite, longitudinal study focused on identifying resilience and resistance factors for successful cognitive aging.
  • SuperAgers are defined as individuals aged 80+ with memory performance comparable to individuals 20-30 years younger.
  • SRI aims to understand the neurobiology of brain aging and resistance to typical and pathological cognitive decline, including Alzheimer's disease.

Purpose of the Study:

  • To identify resilience and resistance factors promoting successful cognitive aging in individuals aged 80 and above.
  • To advance knowledge on the neurobiology of brain aging and resistance against age-related cognitive decline.
  • To increase diversity in aging research by enrolling over 500 participants across North America.

Main Methods:

  • Harmonized data collection across five North American sites, including behavioral, biological, environmental, genetic, and psychosocial characteristics.
  • Project 1: Utilizes wearable technology for quantitative measurements of daily activity.
  • Project 2: Employs transcriptomic, genetic, and protein profiling to examine immune and inflammatory system parameters.

Main Results:

  • Over 280 participants (ages 80-101) enrolled using community-engaged research (CER) strategies, representing diverse geographical locations.
  • Approximately 20% of participants identify with underrepresented racial-ethnic groups, with higher diversity (30%+) in sites using existing CER methods.
  • Project 1 shows high feasibility (>90%) and data recovery (>95%) for remote sensor data collection. Initial Project 2 analyses suggest SuperAgers have similar Alzheimer's disease polygenic risk scores to cognitively average peers.

Conclusions:

  • The prospective, longitudinal study of SuperAgers is feasible and offers a unique platform for identifying mechanisms of cognitive resilience.
  • Findings may reveal novel modifiable factors that promote successful cognitive aging.
  • The study design supports the identification of factors conferring resistance against both typical and pathological age-related cognitive decline.