Colloid‐Forming Prodrug‐Hydrogel Composite Prolongs Lower Intraocular Pressure in Rodent Eyes after Subconjunctival Injection
Bibliographic record
Abstract
Colloidal drug aggregates (CDAs) are challenging in drug discovery due to their unpredictable formation and interference with screening assays. These limitations are turned into a strategic advantage by leveraging CDAs as a drug delivery platform. This study explores the deliberate formation and stabilization of CDAs for local ocular drug delivery, using a modified smallmolecule glaucoma drug. A series of timolol prodrugs are synthesized and self-assembled into CDAs. Of four prodrugs, timolol palmitate CDAs have a critical aggregate concentration of 2.72 µM and sustained in vitro release over 28 d. Timolol palmitate CDAs are dispersed throughout in situ gelling hyaluronan-oxime hydrogel and injected into the subconjunctival space of rat eyes. The intraocular pressure is significantly reduced for at least 49 d with a single subconjunctival injection of timolol-palmitate CDAs compared to 6 h for conventional timolol maleate. The systemic blood concentrations of timolol are significantly lower, even after 6 h, for timolol palmitate CDA-loaded hydrogel versus free timolol maleate, thereby potentially reducing the risk of systemic side effects. This innovative approach redefines the role of CDAs and provides a framework for long-acting ocular therapeutics, shifting their perception from a drug screening challenge to a powerful tool for sustained local drug delivery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".