A dual-phase biologic augmentation of rotator cuff healing in a preclinical rat model using interleukin-17F and low-dose lithium
Bibliographic record
Abstract
Background: Rotator cuff tendon tears are a common cause of shoulder dysfunction in adults. Yet, impaired healing continues to result in higher failure rates after surgical repair resulting in patient dysfunction and prolonged recovery. This has spurred increased investigation of biologic augmentation to improve tendon healing. This study examines the outcome of peritendinous interleukin-17F (IL-17F) administration and oral low-dose lithium carbonate (Li) on rotator cuff healing following acute surgical repair in a rat model. Methods: Treatment group included an open supraspinatus peel and repair followed by a local injection of IL-17F at the bone-tendon interface and a 7-day course of oral Li. Control rats received no additional intervention before surgical closure. Evaluation of healing was then preformed using MRI imaging, biomechanical testing, and histological analysis at the bone-tendon interface. Results: < .001), and increased histologic organization of fibroblasts compared to controls. These findings are consistent with an increase in biomechanical stiffness. Conclusion: We demonstrated that the combined treatment of IL-17F and oral low-dose lithium improved rotator cuff tendon healing quality following acute surgical repair in a rat model.
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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 | 0.000 | 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) | 0.000 | 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".