Atropine and Roscovitine Release from Model Silicone Hydrogels
Bibliographic record
Abstract
PURPOSE: Drug delivery to the anterior eye has a low compliance and results in significant drug losses. In pediatric patients, eye diseases such as myopia and retinoblastoma can potentially be treated pharmacologically, but the risk associated with high drug concentrations coupled with the need for regular dosing limits their effectiveness. The current study examined the feasibility of atropine and roscovitine delivery from model silicone hydrogel materials which could potentially be used to treat myopia and retinoblastoma, respectively. METHODS: Model silicone hydrogel materials that comprised TRIS and DMA were prepared with the drug incorporated during synthesis. Various materials properties, with and without incorporated drug, were investigated including water uptake, water contact angle, and light transmission. Drug release was evaluated under sink conditions into phosphate buffered saline. RESULTS: The results demonstrate that up to 2 wt% of the drugs can be incorporated into model silicone hydrogel materials without adversely affecting critical materials properties such as water uptake, light transmission, and surface hydrophilicity. Equilibrium water content ranged from 15 to 32% and transmission exceeded 89% for materials with at least 70% DMA. Extended release exceeding 14 days was possible with both drugs, with the total amount of drug released from the materials ranging from 16% to over 76%. Although a burst effect was noted, this was thought to be due to surface-bound drug, and therefore storage in an appropriate packaging solution could be used to overcome this if desired. CONCLUSIONS: Silicone hydrogel materials have the potential to deliver drugs for over 2 weeks without compromising lens properties. This could potentially overcome the need for regular drop instillation and allow for the maintenance of drug concentration in the tear film over the period of wear. This represents a potential option for treating a host of ophthalmic disorders in children including myopia and retinoblastoma.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".