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The ASPREE Healthy Ageing Biobank: Methodology and participant characteristics
Emily J Parker1, Suzanne G Orchard1, Tom J Gilbert1
1School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
The ASPREE Biobank collected blood, urine, and saliva from healthy older adults for future research. This valuable resource links biospecimens to extensive health data, aiding biomarker discovery for aging-related diseases.
Area of Science:
- Gerontology and Preventive Medicine
- Biomarker Discovery
- Biobanking and Longitudinal Studies
Background:
- The ASPirin in Reducing Events in the Elderly (ASPREE) trial provided a unique opportunity to establish a biospecimen biobank.
- Focus on initially healthy individuals aged 70+ years to capture early biological changes.
Purpose of the Study:
- To establish and describe the ASPREE Healthy Ageing Biobank (ASPREE Biobank).
- To create a resource linking biospecimens to comprehensive phenotypic data for aging research.
- To facilitate the identification and validation of biomarkers for age-related diseases.
Main Methods:
- Collected blood, urine, and saliva samples at two time points, three years apart.
- Utilized mobile laboratories to reach regional and rural participants.
- Ensured rapid processing (within 4 hours) and frozen storage (-80°C or liquid nitrogen) of over 1.4 million aliquots.
- Collected detailed annual demographic, physiological, and clinical data.
Main Results:
- 12,219 participants provided initial samples; 10,617 provided follow-up samples.
- High-quality data and over 1.4 million aliquots were generated, with near-perfect rapid processing.
- Significant clinical events (dementia, cardiovascular disease, cancer, death) were recorded over a median follow-up of 4.7 years.
- The biobank links pre-clinical biospecimens to extensive longitudinal health information.
Conclusions:
- The ASPREE Biobank is a rich resource for aging research.
- It enables the study of biomarkers for age-related diseases and healthy aging.
- The linked data and high-quality biospecimens support biomarker discovery and validation efforts.
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