Cyclic AC253, a novel amylin receptor antagonist, improves cognitive deficits in a mouse model of Alzheimer's disease
Bibliographic record
Abstract
INTRODUCTION: Amylin receptor serves as a portal for the expression of deleterious effects of amyloid β-protein (Aβ), a key pathologic hallmark of Alzheimer's disease. Previously, we showed that AC253, an amylin receptor antagonist, is neuroprotective against Aβ toxicity in vitro and abrogates Aβ-induced impairment of hippocampal long-term potentiation. METHODS: Amyloid precursor protein-overexpressing TgCRND8 mice received intracerebroventricularly AC253 for 5 months. New cyclized peptide cAC253 was synthesized and administered intraperitoneally three times a week for 10 weeks in the same mouse model. Cognitive functions were monitored, and pathologic changes were quantified biochemically and immunohistochemically. RESULTS: AC253, when administered intracerebroventricularly, improves spatial memory and learning, increases synaptic integrity, reduces microglial activation without discernible adverse effects in TgCRND8 mice. cAC253 demonstrates superior brain permeability, better proteolytic stability, and enhanced binding affinity to brain amylin receptors after a single intraperitoneal injection. Furthermore, cAC253 administered intraperitoneally also demonstrates improvement in spatial memory in TgCRND8 mice. DISCUSSION: Amylin receptor is a therapeutic target for Alzheimer's disease and represents a disease-modifying therapy for this condition.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".