Capsular stem cell function and tissue composition are associated with symptoms and radiographic severity in people with knee osteoarthritis
Bibliographic record
Abstract
Background: Osteoarthritis (OA) is associated with lost range of motion in the affected joint(s). Evidence suggests that this may be due to increased activity of posterior capsule fibroblasts, cells in turn derived from mesenchymal stromal cells (MSCs). Objectives: To test the hypotheses that (1) MSCs are more numerous in the posterior capsule of patients with knee flexion contracture (FC) and (2) in OA participants with knee FC, the MSC population in the posterior capsule differentiates toward a fibrotic phenotype. In order to complete these objectives, we looked for associations between capsule histologic and MSC outcomes with clinical outcomes. Design: Cross-sectional translational research design using data from the Ottawa Knee Osteoarthritis (OKOA) database. Methods: A total of 71 OKOA database participants and their relevant clinical and laboratory outcomes were included. Associations were first tested with bivariate correlation, then for p < 0.10, tested using a linear model. Results: No lab-based differences between FC and no-FC groups we discovered. In the posterior capsule, there was an association between knee flexion and adipogenic capacity ( p = 0.001), osteogenic capacity ( p < 0.001), KL grade and percent “other” (mainly neurovascular) tissue ( p = 0.039), visual analog scale pain, and percent fibrous tissue ( p = 0.014). For the anterior capsule, there was an association between knee flexion ( p = 0.002) and extension ( p = 0.005) with MSC enumeration, KL grade with MSC fibrogenic capacity ( p = 0.002), and Knee Injury and Osteoarthritis Outcome Score quality of life with chondrogenic capacity ( p < 0.001). Conclusion: Joint capsule composition, MSC enumeration, and function were associated with important clinical OA outcomes. These findings suggest that the entire joint capsule may play an important role in OA-related morbidity and progression and could represent an underappreciated target for OA treatment.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".