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Record W2323771220 · doi:10.1097/opx.0000000000000807

Atropine and Roscovitine Release from Model Silicone Hydrogels

2016· article· en· W2323771220 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOptometry and Vision Science · 2016
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsMcMaster University
FundersDivision of Materials ResearchNatural Sciences and Engineering Research Council of Canada
KeywordsSiliconeDrug deliverySelf-healing hydrogelsMaterials scienceBiomedical engineeringDrugAtropineContact lensPharmacologyNanotechnologyMedicineComposite materialOphthalmologyPolymer chemistryAnesthesia

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.372
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it