Abstract WP145: Safety of Intra-Arterial Mesenchymal Stem Cells in a Large Animal Model of Stroke: A Dose Escalation Study
Bibliographic record
Abstract
Background: Despite the efficacy of thrombectomy for large vessel occlusion acute ischemic stroke (AIS) , ~50% of patients have significant residual deficits. Pre-clinical data on intra-arterially (IA) administered mesenchymal stem cells (MSCs) in stroke are promising and this approach is attractive for clinical application. While there is a concern for micro-occlusion with IA delivery due to the large size of MSCs, a dose of 1 x 10 5 MSCs given 24-48 hr in a rodent reperfusion middle cerebral artery occlusion (rMCAo) model has been shown to be safe and effective. As per STAIR recommendations, we performed a dose-escalation (DE) study of IA-MSCs in a large animal stroke model. Methods: An endovascular canine rMCAo model using retractable platinum coil for 60-120 min was established. At 48 hr post-rMCAo, allogeniec canine MSCs were delivered using a 0.0165” microcatheter in the ipsilateral upper cervical internal carotid artery in escalating doses (based on proportion of rodent to canine total cerebral blood volume). Serial MRIs and neurological deficit scoring (NDS) were performed over 30 days. Animals were euthanized at 15-30 d post-rMCAo and brains were harvested. Results: Female canines (n=13), age 12-36 months, weighing 22-26 kg received IA MSCs ranging from 5-80 x 10 6 (M). At doses of 5-40 M IA-MSCs no neurological worsening was observed. Serial NDS and stroke volume on MRI showed no increase post-IA-MSCs and actually showed progressive reduction. A higher numerical reduction was seen in the 10-40 M groups compared to 5 M. However, in the one canine receiving 80 M IA-MSCs, there was significant worsening of the MCA-area infarction and NDS due to microembolization at this higher dose. Gross examinations and histopathology of brain tissue were consistent with ischemia. The brain of a canine receiving 80 M cells showed differentially aged areas of necrosis supporting two ischemic events. Neuroblasts, doublecortin-positive cells, and neovascularization were observed in canine brains suggesting regenerative mechanisms. Conclusions: These data suggest that IA-MSCs are safe in a large animal model up to 40 M IA-MSCs and is the maximum tolerated dose in this DE study. Furthermore, our data suggests that up to 40 M IA-MSCs may be promising in exploring efficacy in AIS.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".