Pooled Cord Blood Mesenchymal Stromal Cells Slow the Progression of Osteoarthritis in an Equine Fetlock Chip Model
Bibliographic record
Abstract
Introduction: We hypothesize that equine pooled cryopreserved umbilical cord blood (eCB) MSCs are safe and effective in treating joint pain and inflammation in an equine model compared with placebo. Materials and Methods: Osteoarthritis (OA) was surgically induced in 12 Standardbreds using a fetlock chip model. Horses were exercised throughout the study. Horses were randomly assigned to be treated with either 10 million pooled cryopreserved eCB- MSCs in HA ( n = 6) or NaCl ( n = 6). At various time points pre and postoperatively, and post treatment, lameness evaluations, radiographs, ultrasound, MRI and synovial fluid samples were taken, scored and statistically analyzed. Results: There was a significant decrease in the AAEP lameness scores over time for the MSC group [p:0.03]. Lameness locator supported these results (mean vector sum differences MSC 18.58 [15.6–22.1], control 28.6 [24.1–34.1], at week 11 [p:0.009]). Synovial fluid total nucleated cell count was overall significantly higher in the MSC group compared with the control [ p = 0.02]. The median radiographic OA score pre surgery was 0/39 for both groups [MSC 0, control 0–9]. By week 11, it was 3/39 [0–7] in the MSC group, compared with 9/39 [0–13] in the control. The mean difference WORMS score was significantly lower in the MSC group, -0.83 [SD 0.70] (p:0.046), compared with 2.83 [SD 1.77] in the control. The mean difference between arthroscopic evaluations was not statistically significant ( p = 0.07), 11.83 [SD 0.6] in the MSC group and 16 [SD 2] in the control. Discussion/Conclusion: Our study confirms the safety and effectiveness of eCB MSCs in slowing OA progression in a fetlock chip model. Acknowledgment: CB MSC were provided by eQcell in kind. HA was provided in kind by Dechra Inc. Funding for the study was provided by Equine Guelph and MITACS Canada. Publication History Article published online: 09 April 2024 © 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/) Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| 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".