A Placebo‐Controlled Phase I Study in Healthy Subjects Assessing NVG‐291, which Targets CNS Receptor Protein Tyrosine Phosphatase Sigma (PTPσ)
Bibliographic record
Abstract
Abstract Background Substantial data from animal models of spinal cord injury (SCI), multiple sclerosis (MS) and Alzheimer’s disease (AD) indicate that accumulation of chondroitin sulfate proteoglycans (CSPGs) at sites of CNS damage can lead to inhibition of CNS repair. A CSPG receptor termed protein tyrosine phosphatase sigma (PTPσ) has been implicated in mediating the inhibitory effect of CSPGs. NervGen is developing a first‐in‐class PTPσ modulator NVG‐291, a systemically administered therapeutic peptide derived from the cytoplasmic domain of PTPs, for treatment of nervous system damage. A rodent analogue of NVG‐291 was found to improve functional outcomes, axonal regeneration, remyelination and neuroplasticity in animal models of CNS damage. Method Part 1 (SAD portion) enrolled 37 subjects randomly assigned into 6 dose cohorts of placebo or NVG‐291. The doses tested exceed the human equivalent doses that showed efficacy in several animal models including SCI and MS. Part 2 (MAD portion) will dose up to 18 subjects randomly assigned into 3 dose cohorts to receive NVG‐291 or placebo once‐daily for 14 days. CSF will be collected in additional subjects for analysis of NVG‐291 concentration and biomarker exploration. Result NVG‐291 has been safe and well‐tolerated through the 6 SAD cohorts (Part 1). Part 2 will complete in 2022. Part 1/2 results will be presented. Conclusion This Phase 1 study will establish the safety, tolerability, and pharmacokinetics of NVG‐291 to support advancement to a clinical trial in patients with AD in 2022.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.006 | 0.001 |
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".