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Updated: Feb 19, 2026

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
Published on: June 3, 2020
Neuropathological and transcriptomic characteristics of the aged brain
Jeremy A Miller1, Angela Guillozet-Bongaarts1, Laura E Gibbons2
1Allen Institute for Brain Science, Seattle, United States.
This study characterized brain aging in 107 older adults, revealing variability in Alzheimer's disease (AD) pathology and cognitive decline. Findings highlight the link between RNA quality and dementia, emphasizing its importance in research.
Area of Science:
- Neuroscience
- Genomics
- Aging Research
Background:
- Age-related neurodegenerative diseases pose a growing public health challenge.
- Current Alzheimer's disease (AD) treatments targeting amyloid beta have shown limited efficacy.
- Individual resilience to neuropathology varies significantly with age.
Purpose of the Study:
- To provide a comprehensive resource of neuropathological, molecular, and transcriptomic data from aged human brains.
- To investigate the relationship between AD pathology, cognitive function, and gene expression in aging.
- To identify factors influencing variability in cognitive aging.
Main Methods:
- Analysis of neuropathology, molecular data, and transcriptomics from 107 aged donors (median age 90) from the Adult Changes in Thought (ACT) study.
- Characterization of hippocampus and two cortical regions.
- Correlation analysis of gene expression with tau pathology and inflammation markers.
Main Results:
- Confirmed associations between AD pathology and dementia, with notable age-related variability.
- Identified co-expressed gene sets linked to pathological tau and inflammation.
- Demonstrated a relationship between dementia and RNA quality, suggesting its influence on transcriptomic studies.
Conclusions:
- Individual variability in resilience to neuropathology is a key factor in cognitive aging.
- Gene expression patterns correlate with specific pathologies and inflammation.
- Controlling for RNA quality is crucial for accurate dementia and aging research.
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