CD2AP impacts Alzheimer’s disease through brain vascular function
Bibliographic record
Abstract
Abstract Background Cerebrovascular impairment is a key aspect of Alzheimer’s Disease (AD) pathogenesis. Brain vascular defects appear early in the disease process and are associated with cognitive dysfunction. CD2‐associated protein (CD2AP), a scaffolding protein involved cytoskeleton remodeling and membrane trafficking, is an important predisposing factor for the disease. The protein is enriched in brain endothelial cells (BECs) that forms the brain vessels, suggesting that CD2AP might contribute to AD cerebrovascular dysfunction. Method In this study, we used brain samples from AD volunteers, genetically modified mouse models, awake two‐photon microscopy and cell culture to investigate the function of CD2AP in the brain vasculature. Result We found that AD individuals with lower levels of brain vascular CD2AP displayed the poorest cognitive performance. Genetic depletion of CD2AP in BECs compromised memory function, cerebral blood flow and increased vessels vulnerability to amyloid‐beta. In BECs, CD2AP controlled the levels and signaling of Apolipoprotein E Receptor 2 (ApoER2) and activation of this pathway with Reelin glycoprotein in mice depleted of endothelial CD2AP mitigated the toxic effects of peptide. Conclusion In sum, deregulation of endothelial CD2AP drives cerebrovascular dysfunction, and harnessing the biology of specific brain vessel types may offer a refined therapeutic avenue for the treatment of 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".