Caprospinol: moving from a neuroactive steroid to a neurotropic drug
Bibliographic record
Abstract
In search of new drugs for Alzheimer's disease, we departed from the classic concepts and investigated the ability of normal and Alzheimer's disease brain to convert cholesterol to steroids, otherwise known as neurosteroids. We identified 22R-hydroxycholesterol to be present in much lower levels in the hippocampus and frontal cortex of Alzheimer's disease than in tissue from age-matched controls. 22R-hydroxycholesterol was shown to protect against beta-amyloid (A beta(42))-induced neurotoxicity and block the formation of A beta oligomers. In search of a 22R-hydroxycholesterol stable analog, we identified the naturally occurring heterospirostenol, (22R,25R)-20 alpha-spirost-5-en-3beta-yl hexanoate (caprospinol). The mechanism of action underlying the neuroprotective properties of caprospinol involves, first, the ability of the compound to bind A beta(42) and, second, its interaction with components of the mitochondria respiratory chain. Samaritan Pharmaceuticals is developing caprospinol as a disease-modifying drug for the treatment of Alzheimer's disease. Samaritan Pharmaceuticals filed for an Investigational New Drug application with the FDA in 2006. The pharmacokinetic and pharmacodynamic parts of the application were found satisfactory, and the FDA has requested that additional information is submitted in support of caprospinol's safety prior to initiating the Phase I clinical study.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".