Interaction Between a Rat Model of Cerebral Ischemia and β-Amyloid Toxicity
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Clinical data suggest that Alzheimer disease (AD) and stroke together potentiate cognitive impairment. Inflammatory mechanisms are involved in AD pathology and stroke and may be the mediator between AD and stroke toxicity. METHODS: AD was modeled by cerebroventricular injections of beta-amyloid (Abeta[25-35]) and subcortical lacunar infarcts by striatal endothelin injections. Inflammatory mechanisms were examined using immunohistochemical analysis. Memory and motor tasks were assessed using the Montoya staircase test. RESULTS: Abeta injections elicited increases in pathological and inflammatory correlates of AD in multiple forebrain sites. Increases in astrocytosis and reactive microglia in the hippocampus were enhanced with the combination of endothelin and Abeta(25-35). Abeta(25-35) treatment decreased performance in the Montoya staircase behavioral test. CONCLUSIONS: The enhanced inflammatory response with Abeta toxicity and ischemia may mediate the inability to improve behavioral performance caused by the stroke. Anti-inflammatory treatment may ameliorate the pathological and behavioral deficits associated with the combination of AD and stroke.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".