Abstract T P410: Angiopoietin-1 Mimetic Peptide Treatment Promotes White Matter Remodeling And Improves Cognitive Function In Rats With Vascular Dementia
Bibliographic record
Abstract
Background and Purpose: Vascular Dementia (VaD) affects cognitive and memory function. Clinically, a series of minor or silent strokes induce subcortical lesions and may lead to VaD. In this study, we developed a multiple microinfarct-based mild VaD model in retired breeder rats and tested the therapeutic effects of an Angiopoietin-1 mimetic peptide, Vasculotide (VT) on cognitive decline and white matter (WM) damage. Methods: Male retired breeder rats were subjected to a multiple microinfarct model (500 70-100 μm cholesterol crystals injected into the internal carotid artery) and treated with 1) PBS 2) VT (3 μg/Kg, i.p. injection) starting at 1 day for 14 days (n=6/group). Neurological and cognitive deficits were evaluated 2 and 6 weeks later. Rats were sacrificed on 7th week. Results: The multiple microinfarct model induced cognitive decline in retired breeder rats starting at 2 weeks which persisted to 6 weeks after surgery. Significant (p<0.05) loss in short term memory was observed using the Novel Object Recognition Task and memory loss was evident from the Odor Test. Anxiety-like behavior was observed during Open Field evaluation. Compared to non surgery rats, VaD significantly decreased neurite branching and spine density measured by Golgi staining; induced significant WM damage identified by decreased axon and myelin density, decreased oligodendrocyte progenitor cells and oligodendrocyte number; and decreased synaptic protein expression in the corpus callosum and striatum. VaD also significantly increased RAGE (Receptor for Advanced Glycation Endproducts) expression in the brain. Treatment of VaD with VT significantly (p<0.05) improved cognitive function and memory, decreased anxiety, significantly attenuated WM damage, increased neurite branching and spine density and synaptic protein expression as well as decreased RAGE expression compared to VaD control rats (p<0.05). Conclusion: Multiple microinfarcts can induce significant WM damage and cause decline in cognition and memory. VT treatment promotes WM remodeling, synaptic plasticity and anti-inflammation which in concert may contribute to the improvement in cognition and memory.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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".