The Multisite SuperAging Research Initiative: Enrollment and Scientific Progress
Bibliographic record
Abstract
BACKGROUND: The multisite SuperAging Research Initiative (SRI) was established in 2021 to identify resilience and resistance factors promoting cognitive healthspan through a harmonized multidisciplinary protocol with prospective data collection. The designation of SuperAger is reserved for individuals age 80+ with episodic memory performance that is at least average for those 2-3 decades younger. Research studies of this relatively uncommon phenotype allow for investigations of fundamental importance to the neurobiology of brain aging, resilience, resistance, and avoidance of cognitive decline related to "average aging" and more severe impairments associated with Alzheimer's and related dementias (ADRD). The SRI is focused on increasing participant diversity and deep phenotyping through the enrollment of 500+ participants into a multi-component longitudinal protocol. This presentation will summarize the engagement, recruitment, and baseline characteristics as well as the initial scientific findings from the cohort. METHOD: Enrollment and harmonized data collection occurs across North American sites in the U.S. and Canada. The SRI includes three Cores (Administrative/Biostatistics, Clinical/Imaging, and Biospecimen/Neuropathology) and two Research Projects. The Core infrastructure provides behavioral, health, genetic, environmental, socioeconomic, psychosocial, neuropsychologic, neuroimaging, and neuropathologic measurements. Project 1 uses state-of-the-art wearable technology to obtain quantitative measurements of daily life (e.g., sleep, physical activity, and social engagement) to determine whether SuperAgers have relatively preserved physiologic and behavioral 'complexity'. Project 2 uses transcriptomic, genetic, and protein profiling to examine central and peripheral immune and inflammatory system parameters. RESULT: Community-engaged research practices have been implemented, yielding enrollment of >170 participants (ages 80-108) into the multicomponent harmonized protocol. Approximately half of the participants have been co-enrolled into Project 1 and the majority have provided biospecimens for Project 2. Additional engagement and recruitment strategies are being deployed and evaluated for efficacy to promote increased enrollment of diverse participants. CONCLUSION: The multidisciplinary study of 80+ year-olds with exceptional memory including imaging, blood draw, and unsupervised remote data collection using wearable technologies is feasible. The prospective study of SuperAgers is uncommon but holds promise for identifying mechanisms of resilience and resistance. Outcomes have potential relevance for isolating modifiable factors for promoting healthspan and avoiding ADRD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.105 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.006 | 0.013 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.008 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".