Abstract 16549: Single Cell Encapsulation Primes Explant-Derived Cardiac Stem Cells to Adopt an Invasive/Migratory Phenotype
Bibliographic record
Abstract
Background: Single cell encapsulation of explant-derived cardiac stem cells (EDCs) boosts therapeutic regeneration by abrogating detachment induced cell death and vascular clearance of cocooned cells. Here, we test the hypothesis that encapsulation instructs cells to adopt an invasive/migratory phenotype favoring mobilization and increased myocardial function after transplantation into the injured heart. Methods/Results: Human EDCs were encapsulated within agarose cocoons of variable density (2 vs. 3.5% agarose) supplemented with extracellular matrix (fibrinogen and fibronectin). Multiplex analysis demonstrated that encapsulation alone promoted greater expression of matrix metalloproteinases (MMP1, MMP10 and EMMPRIN; p In vitro kinetic profiling revealed that encapsulation within 3.5% agarose capsules delayed the half time of cell emergence from the capsule from 16±2 hours to 42±12 hours (p=0.02 vs. 2% agarose capsules; n=3). Once cells escaped the capsules, real time profiling demonstrated that increasing capsule density primed cells to migrate 3.8±0.3 fold faster across a porous membrane (p=0.0001 vs. 2% agarose capsules, n=4). Transplant of EDCs encapsulated in 2% agarose into the myocardium of immunodeficient mice 1 week after infarction increased the 4-week post infarct ejection fraction from 32.9±1.3% to 37.4±0.5% as compared to non-cocooned EDCs (p=0.008, n=6 per treatment group). Although encapsulation increased long term retention of transplanted cells by 6±2 fold (p=0.04 vs. suspended EDCs), increasing capsule density did not boost the long term cell retention (p=0.7 vs. 2% encapsulation) despite providing a marked increase in myocardial function (4-week post infarct ejection fraction: 47.6±1.5%, p=0.0001 vs 2% agarose, n=8). Conclusion: Encapsulation within dense cocoons enhances the migratory/invasive nature of EDCs to promote indirect repair of damaged myocardium.
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 | 0.000 | 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 | 0.001 |
| 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".