Novel nitrates as NO mimetics directed at Alzheimer's disease
Bibliographic record
Abstract
GT 1061 is a novel therapeutic agent that is in Phase 1 clinical studies for Alzheimer's disease. GT 1061 is one of a family of novel nitrates that have demonstrated neuroprotective properties and cognition- and memory-enhancing properties in animal models. The prototype of this family, GT 715, has been reported effectively to dissociate the neuromodulatory and the systemic hypotensive effects of nitrates, the latter seriously limiting the therapeutic use of classical nitrates. Further data on the novel nitrates, GT 715 and GT 061, are presented in (a) the malonate-lesion rat model of excitotoxic neurodegeneration, and (b) the reversal of a scopolamine-induced cognition deficit in the Morris water task which tests spatial memory. These data exemplify and reinforce the combined neuroprotective and cognition enhancing properties observed in this family of NO mimetic therapeutic agents. NO mimetics, that mimic the biological activity of NO, will bypass cholinergic receptor activation and are anticipated to provide multiple pathways of treating and circumventing dementia. NO mimetic activation of soluble guanylyl cyclase and cGMP formation in the brain represents one element of an effective neuroprotective strategy. Substantial evidence suggests that NO mimetics may display cGMP-dependent and cGMP-independent activity and may operate via multiple biochemical signaling pathways, both to ensure the survival of neurons subjected to stress and also to provide cognition-enabling pathways to circumvent dementia, providing a combined neuroprotective and cognition-enabling approach to anti-neurodegenerative therapy.
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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".