Bibliographic record
Abstract
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.
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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) | 0.004 | 0.001 |
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.
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".