The contribution of cerebral vascular semicarbazide‐sensitive amine oxidase to cerebral amyloid angiopathy in Alzheimer's disease
Bibliographic record
Abstract
Semicarbazide-sensitive amine oxidase (SSAO) catalyses the oxidative deamination of a variety of endogenous substrates, such as methylamine and aminoacetone, to produce highly reactive aldehydes, which are capable of inducing protein cross-linkage, beta amyloid (Abeta) aggregation and advanced glycation end-product formation. In the brain, SSAO is exclusively located on the blood vessels. Deposits of Abeta, the hallmark of Alzheimer's disease (AD), are closely associated with cerebral blood vessels, that is, cerebral amyloid angiopathy (CAA). In the present study, we examined whether SSAO-mediated deamination contributes to CAA in AD. We employed immunohistochemistry to examine the colocalization of SSAO and Abeta in post mortem brains of AD patients. To assess the role of SSAO-mediated deamination in the deposition of Abeta on blood vessel walls, we developed an in vitro blood vessel model using sections of human umbilical cord. We found a strong expression of SSAO colocalized with Abeta deposits on the blood vessels in AD brains. We also demonstrated that SSAO-mediated deamination increases the deposition of Abeta onto blood vessel walls. Our results support the hypothesis that cerebral vascular SSAO-catalysed deamination contributes to CAA in AD brains.
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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) | 0.000 | 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 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".