Abstract 3698: Transcoronary Delivery of Allogenic Bone Marrow-Derived Mesenchymal Stem Cells in a Swine Model of Recent Myocardial Infarction
Bibliographic record
Abstract
Background: For cardiac cell therapy, intracoronary delivery remains a delivery method fraught with potential safety concerns, especially for bone-marrow mesenchymal stem cells (BM-MSCs). Study Aim: To investigate the novel transcoronary delivery route (TCD) for BM-MSCs. Methods: Anterior myocardial infarction (MI) was created in Yorkshire-Landrace swine. TCD was performed with the Cricket catheter, which allows delivery to the adventitial space thus circumventing concerns of cell washout or microembolization. Cardiac MRI studies were performed prior to and 1-month after cell injection. Results: Seven swine survived MI creation (BM-MSC group, n=3; control group, n=4). Infarct sizes were comparable (BM-MSC, 35.2±7% vs. Controls, 29.6±5%; p=NS). While all infarcts were transmural, 2/3 BM-MSC swine had evidence of concomitant subendocardial hemorrhage. On day 7 post-MI, in the cell group, 50×10^6 allogenic BM-MSCs were injected (Figure[⇓][1]) whereas medium was injected in control swine. At 1-month, relative to baseline, MRI studies documented adverse LV remodeling in controls (LVEDV: 117.9±8.9ml vs. 153.7±15.5ml, respectively; p=0.02) compared to BM-MSC swine (LVEDV: 114.4±13.2ml vs. 113.4±34.7ml, respectively; p=NS). No complications occurred during TCD. Serial troponins, hs-CRP and pro-NT-BNP did not detect myocardial injury, inflammation or cardiac dysfunction following allogenic BM-MSC TCD. Moreover, post-injection electrophysiological assessment did not detect evidence of proarrhythmia. Conclusion: For cardiac cell therapy, allogenic BM-MSC TCD is both safe and feasible in recently infarcted hearts with potential to impact adverse LV remodeling ![][2] [1]: #graphic-1 [2]: /embed/graphic-1.gif
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".