The 5-HT1A receptor antagonist WAY-100635 maleate reprograms metabolism to promote RGC differentiation and regeneration in retino-visual centers
Bibliographic record
Abstract
ABSTRACT Metabolic collapse of retinal ganglion cells (RGCs) onsets glaucoma, yet no approved drug directly protects these neurons. Through a live-cell mitochondrial screen in human stem-cell-derived hRGCs we uncovered WAY-100635 (WAY), a clinically tested 5-HT1A antagonist, as a systemic neuroprotectant. WAY triggers a reversible cyclic-AMP surge that activates PGC-1α-driven reversible mitochondrial biogenesis and suppresses apoptosis. In glaucoma associated OPTN E50K hRGCs, WAY restores mitochondrial fitness, dampens excitotoxicity, and reprograms metabolism toward aerobic glycolysis, while in progenitors WAY boosts mitochondrial cristae maturation, oxidative phosphorylation, and cell-cycle exit to accelerate RGC specification. Daily intraperitoneal dosing preserves RGC bodies, neural activity, promotes axon regeneration into the optic nerve and vision centers after optic-nerve crush, as well as shows RGC protection and maintenance of visual acuity in chronic ocular hypertension glaucoma. As the non-invasive neuroprotective therapy with a human safety profile, WAY addresses a critical gap in glaucoma care and potentially for other mitochondrial optic neuropathies. GRAPHICAL ABSTRACT
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".