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Record W2769157009

Adsorption of PRG4 on commercially available contact lenses

2013· article· en· W2769157009 on OpenAlexaffvenue
Yuno Iwabuchi

Bibliographic record

VenueJournal of undergraduate research in Alberta · 2013
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsContact lensCorneaLens (geology)OphthalmologySilicone hydrogelTearsMaterials scienceMedicineOpticsSurgery
DOInot available

Abstract

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INTRODUCTION Contact lens wear can cause corneal damage, which destabilizes the tear film that protects the ocular surface and may lead to Dry Eye Syndrome [1]. Contact lens-induced Dry Eye Syndrome causes significant discomfort and affects the quality of life of millions worldwide [2,3]. A possible cause of this discomfort is increased friction between ocular tissues [4]. Proteoglycan 4 (PRG4) is a mucin-like glycoprotein that was originally found in synovial fluid, but has also recently been discovered on the eye. It was shown to function as an effective boundary lubricant for the ocular surfaces [4], specifically between the cornea and eyelid or a contact lens [5]. However, these initial studies were not performed in the presence of tear film proteins, which can accumulate on contact lenses with wear causing discomfort [6]. The objectives of this project were to determine if PRG4 adheres to commercially available contact lenses, and to clarify whether PRG4 is able to maintain its boundary-lubricating ability at a cornea-contact lens biointerface in the presence of tear film proteins. METHODS A western blot was performed to measure adhesion of PRG4 on contact lenses. Samples were prepared by soaking commercial contact lenses Air Optix Aqua (AO), Acuvue Oasys (OAS), Acuvue 2 (Av2) in native bovine PRG4 overnight. The lenses were then rinsed three times in saline to remove excess PRG4, and then heated to 70°C to release PRG4 adhered to the lenses. These samples were loaded onto a gel and immunostained to test for presence of PRG4. The lubricity of commercially available contact lenses OAS and Acuvue TruEye (TE) was analyzed using a custom cornea-contact lens friction test. Lenses were soaked in an artificial tear solution (ATS) or ATS doped with PRG4 (ATS+PRG4), sent from collaborators at the University of Waterloo, to challenge the lenses to a proteinaceous condition. Friction tests measure axial load and torque to calculation friction coefficients for these lubrication conditions. RESULTS Figure 1. Image of a western blot membrane showing PRG4 adhesion of OAS, AO, and Av2 soaked in native PRG4. Western blots showed strong PRG4 adhesion (denoted by the density of the PRG4 bands) on silicone hydrogel contact lenses (OAS and AO), and little adhesion on a conventional hydrogel lens (Av2). AO clearly held onto PRG4 the best (Figure 1). Kinetic friction coefficients were not significantly different for the ATS and ATS+PRG4 conditions. Values of were higher for TE than OAS (0.35±0.18 TE; 0.28±0.14 OAS mean±SEM). DISCUSSION AND CONCLUSIONS PRG4 is known to have difficulty sticking to hydrophilic surfaces, such as Av2 conventional hydrogel lenses. Adding silicone to a lens makes it more hydrophobic, allowing PRG4 to better adhere to it [6]. PRG4 had no apparent effect in ATS, possibly due to PRG4 getting bound up in the hydrophobic lipids in ATS before adhering to the lens. Future experiments may examine soaking a contact lens in PRG4 first, before testing in ATS to prevent this, or testing a used contact lens.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

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)0.0040.001

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.

Opus teacher head0.073
GPT teacher head0.354
Teacher spread0.280 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2013
Admission routes2
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