The neurogenic compound, NSI-189 phosphate: a novel multi-domain treatment capable of pro-cognitive and antidepressant effects
Bibliographic record
Abstract
INTRODUCTION: Alterations in neurogenic and neurotrophic processes as well as intracellular signalling cascades provides the basis for hypothesizing that neurogenic agents may be therapeutic across multiple RDoC-defined domains (e.g. positive valence systems, general cognitive processes). Moreover, using the DSM-5 taxonomy, neurogenic agents may mitigate symptoms in adults with depressive and bipolar disorders as well as individuals with cognitive disorders. Areas covered: NSI-189 is a benzylpiperizine-aminiopyridine, a novel chemical entity that stimulates neurogenesis of human hippocampus-derived neural stem cells in vitro and stimulates neurogenesis in murine hippocampus in vivo. Emerging evidence also indicates that NSI-189 phosphate has regionally specific effects insofar as neurogenesis is observed largely in the subventricular zone of the hippocampus. Results from a preliminary proof of concept study suggests that NSI-189 may be capable of mitigating depressive symptoms and improve cognitive function in adults with DSM-5-defined Major Depressive Disorder (MDD). Expert opinion: Preliminary proof-of-concept studies indicate both antidepressant and procognitive effects. Beneficial effects in cognitive-emotional processing as well as whether the procognitive effects are independent of antidepressant effects are vistas of future research. Taken together, NSI-189 is a multi-domain neurogenic compound with brain-therapeutic properties with potential therapeutic applications across disparate psychiatric disorders.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".