Repeated injection of pooled frozen allogeneic umbilical cord blood mesenchymal stromal cells in 5 flat‐racing horses
Bibliographic record
Abstract
Summary Background Tendinopathies in racehorses are challenging to treat, and restoring normal tendon composition remains elusive despite extensive research. Equine multipotent mesenchymal stromal cells (MSC) have shown promise for tendon repair, and various sources of MSC have been described. Objectives The objectives of the study were (1) to report the clinical efficacy of superficial digital tendon flexor tendinopathy treated with repeated injections of pooled frozen allogeneic umbilical cord blood mesenchymal stromal cells (CB‐MSC); (2) to confirm that the use of allogeneic CB‐MSC for treatment of superficial digital flexor tendon (SDFT) injuries through repeated injections does not induce adverse reactions. Study design Prospective clinical study. Methods Five Thoroughbreds, in speed training and racing, sustaining an SDFT lesion within 6 weeks prior to the treatment were included. Pooled frozen allogeneic umbilical CB‐MSC were delivered twice intralesionally 4 weeks apart. CD4+ and CD8+ lymphocyte populations were analysed by flow cytometry. Ultrasound and lameness rechecks were performed every 4 weeks for a year. Results All three flat‐racing Thoroughbreds receiving CB‐MSC who adhered to the prescribed rehabilitation programme raced multiple times and remained reinjury‐free during the 12‐month follow‐up period. No serious adverse reactions were noted to the treatment. Four horses treated with CB‐MSC displayed an expansion of the needle tract at the injection site. Main limitations The study's main limitations include a small number of horses. Conclusions The novel repeated intralesional treatment using thawed pooled allogeneic equine CB‐MSC resulted in positive clinical outcomes, with all horses returning to racing without reinjury when following the rehabilitation programme.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".