Reduced levels of angiogenesis biomarkers predict increased symptom severity in Chinese Americans with Alzheimer’s disease with demographic-specific effect
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alzheimer’s disease (AD) symptomatology, while classically studied through the lens of amyloid-β and tau burden, is likely also influenced by multiple-interacting co-pathologies like vascular disease and dysmetabolism. These co-pathologies, especially vascular disease, occur disparately in the Chinese-American population and are often treatable via therapeutics and lifestyle modifications. Given this, we explored whether plasma biomarkers, including an array of vascular-related proteins, associate with cognition in a cohort of 34 Chinese Americans clinically diagnosed as cognitively normal, with mild cognitive impairment, or with AD. We found that a composite score of plasma angiogenesis biomarkers (MMP-1, bFGF, VEGF, and VEGF-C) were positively associated with total Mini Mental State Examination scores (p = 0.045) as well as memory performance (p = 0.006), and that this relationship was most pronounced in AD (biomarker composite score within AD vs MMSE & memory, both p < 0.001). To explore whether these findings were specific to the Chinese-American population, we repeated the above analyses in 73 demographically matched non-Hispanic White American participants and found no significant associations between angiogenesis biomarkers and MMSE or memory, highlighting the potential relevance of vascular dysregulation in Chinese Americans at risk for AD.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it