Greater subjective cognitive decline is associated with higher plasma Alzheimer’s disease biomarkers in cognitively normal Hispanics living in Miami, FL
Bibliographic record
Abstract
Abstract Background Subjective cognitive decline (SCD), or a person’s perception of changes in their cognitive abilities, has been identified as a possible early marker of preclinical Alzheimer’s disease (AD) in non‐Hispanic Whites; however, research is lacking about the clinical utility of SCD in diverse populations. This study investigated the associations of self and informant reports of SCD, plasma biomarker profiles of AD, and objective cognitive performance in Hispanic older adults living in Miami. Method Hispanic participants enrolled in the 1Florida Alzheimer’s Disease Research Center who completed neuropsychological testing and blood draws for biomarker analysis were eligible. Plasma biomarkers included phosphorylated tau (p‐tau217 and p‐tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL). The Subjective Cognitive Decline Questionnaire self (MyCog) and informant (TheirCog) versions were used to assess SCD. Cognitive tests included the Montreal Cognitive Assessment (MoCA) and the Craft story 21 verbatim immediate (Craft‐Im) and delayed recall (Craft‐Del). Relationships between plasma biomarkers, cognitive performance, and SCD were explored using Spearman's rank correlation, with an uncorrected p‐value of 0.05. Result The cohort included 52 Hispanics (age 73.3±7.3 years; education 15.2±3.0 years; 63% female; 96% from Cuba or South America) with a consensus diagnosis of cognitively normal (CN, n=17) or mild cognitive impairment (MCI, n=35). Among CN participants (Tables 1 and 2), greater MyCog scores were significantly associated with higher p‐tau217 (rs=0.68), p‐tau181 (rs=0.58) and lower MoCA scores (rs=‐0.48). Greater TheirCog scores were significantly associated with higher p‐tau181 (rs=0.58) and lower MoCA scores (rs=‐0.52). Among MCI participants (Tables 1 and 2), greater MyCog scores were associated with lower p‐tau181 (rs=‐0.37). There were significant correlations between various cognitive test scores and p‐tau217 (MoCA, rs=‐0.50; CraftIm, rs=‐0.44) and NfL (CraftIm, rs=‐0.34; CraftDel, rs=‐0.33). Conclusion Greater self and informant reported SCD are related to higher AD plasma biomarker load and worse cognition in a small sample of CN Hispanics, suggesting potential clinical utility. Self‐reported SCD was inversely related to plasma biomarkers in those with MCI, suggesting loss of insight. Larger and more diverse longitudinal studies are needed to elucidate if CN Hispanics with elevated SCD and AD plasma biomarkers progress to MCI and AD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".