Abstract 31: First Trimester Human Umbilical Cord Perivascular Cells (FTM HUCPVCs) Show Superior Angiogenic Potential in Angiogenic Potency Assays When Compared to Term HUCPVCs and Bone Marrow Stromal Cells
Bibliographic record
Abstract
Introduction: Cell therapy employing pro-angiogenic cell types is a promising option for promoting revascularization of ischemic tissues. First trimester human umbilical cord perivascular cells (FTM HUCPVCs) are a young source of mesenchymal stromal cells (MSCs) that support blood vessels in the umbilical cord. Objective: We aimed to determine the angiogenic potential of FTM HUCPVCs using angiogenic potency assays and compare to older sources of MSCs: term HUCPVCs and bone marrow stromal cells (BMSCs). Methods: For the aortic ring assay, aortas were sectioned and embedded into Matrigel™. Fluorophore-labeled MSCs for testing were added to developing endothelial networks (Day0). MSC integration and network development were monitored by microscopy and quantification of endothelial networks was performed using ImageJ™ software (Day4) n=3. Using the Matrigel™ plug assay, 5.0 x10 5 MSCs were suspended with equal volumes of Matrigel™ and injected subcutaneously in 11-week-old nude mice and isolated after two weeks. Plug associated microvasculature was imaged and quantified n=3. Results: In the aortic ring assay, FTM HUCPVCs homed to endothelial networks and demonstrated greater endothelial cell coverage, when compared to term HUCPVCs and BMSCs. FTM HUCPVCs showed significantly greater network growth when compared to term HUCPVCs ( p ≤0.001), BMSCs ( p ≤0.001) and untreated endothelial networks ( p ≤0.001). FTM HUCPVC contributed to a significantly greater number of closed loops when compared to term HUCPVCs ( p ≤0.01), BMSCs ( p ≤0.001) and untreated networks ( p ≤0.05). At two weeks following injection of Matrigel plugs, FTM HUCPVC resulted in significantly greater blood vessel recruitment when compared to term HUCPVCs ( p ≤0.05), BMSCs ( p ≤0.01) and control media plugs ( p ≤0.01). Small tortuous blood vessels were found in significantly higher quantity in FTM HUCPVC injected plugs when compared to term HUCPVCs ( p ≤0.05), BMSCs (p ≤0.01) and media plugs ( p ≤0.001). Conclusions: These studies demonstrate that FTM HUCPVCs have superior potential to augment, both the initiation of capillary formation and the development of functional, perfusable blood vessels, highlighting their potential for tissue regeneration following ischemic injury.
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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) | 0.000 | 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) | 0.005 | 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".