CARTILAGE BOUNDARY LUBRICATING ABILITY OF PRG4 (LUBRICIN) MONOMERS AND MULTIMERS WITH HYALURONAN
Bibliographic record
Abstract
INTRODUCTION Proteoglycan 4 (PRG4), or lubricin, is a glycoprotein that exists in synovial fluid (SF) as monomeric and disulfide-bonded multimeric forms [1,2]. PRG4 functions as a critical boundary lubricant on the surface of articular cartilage [1,3]. Hyaluronan (HA) is another lubricant that lubricates at a cartilage-cartilage interface alone, and synergistically with PRG4 to reduce friction levels near that of SF [4]. Previously PRG4-multimers (PRG4-multi) have been shown to lubricate considerably better than PRG4 monomers (PRG4-mono) using an in vitro cartilage-on-cartilage friction testing system [5]. However, it is unknown if the difference in structure of PRG4-multi/-mono affects the synergism with HA. Therefore, the objective of this study was to evaluate the cartilage boundary lubricating ability of PRG4-multi & PRG4-mono with HA. METHODS Samples: PRG4 was purified from media conditioned by mature bovine cartilage explants [4]. PRG4 multi-mono was prepared via size exclusion chromatography [5]. HA (1.5MDa) was obtained from Lifecore Biomedical. Cartilage boundary lubrication: Lubricants of interest were assessed using a previously described in vitro cartilage-cartilage friction test [6]. Briefly, bovine osteochondral samples (n=8) were incubated with test lubricants overnight, compressed by 18%, allowed to stress relax then rotated at an effective velocity of 0.3 mm/s with pre-sliding durations (Tps) of 1200, 120, 12, and 1.2s. Phosphate buffered saline (PBS) and bovine SF served as negative and positive controls, respectively. All samples were prepared at a physiological concentration [4]; PRG4 at 450 μg/mL and HA at 3.33 mg/mL, in PBS. Test sequence: PBS, PRG4-mono+HA, PRG4-multi+HA, PRG4+HA, SF. Static (μ static,Neq ) and kinetic ( ) friction coefficients were calculated [4,6]. ANOVA was used to assess the effect of lubricant and Tps, as a repeated factor, on μ static,Neq and , with Tukey post-hoc on at Tps=1.2s. RESULTS Cartilage boundary lubrication: PRG4-mono/-multi+HA, functioned as effective friction-reducing cartilage boundary lubricants. However, they did not lubricate as well as PRG4+HA or SF. μ static,Neq values increased with Tps; they were highest in PBS and lowest in SF, with PRG4-mono+HA, PRG4-multi+HA, and PRG4+HA being intermediate. For clarity, values at Tps=1.2s are shown since values at Tps=1.2s were within 13.0±2.7% of those at Tps=1200s. values for PRG4-mono+HA and PRG4-multi+HA were similar (p=0.96). PRG4+HA and SF were similar (p=0.53). All other combinations were significantly different from each other (p<0.05). DISCUSSION AND CONCLUSIONS Previous studies have shown that PRG4-multi lubricates better than PRG4-mono [5]. However the results from this study show that PRG4-mono/-multi with HA lubricate in a similar manner. Interestingly, PRG4+HA lubricates better than PRG4-mono/-multi+HA, and close to that of SF. These differences could be due to a potential PRG4+HA “link molecule” [7] being purified from the PRG4-mono/-multi preparations.
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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 | 0.002 | 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 | 0.001 |
| 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".