Abstract 15659: Collagen Biomaterial Enhances Cd34+ Cell Function Through Mir-21b
Bibliographic record
Abstract
Introduction: CD34 + cells represent a promising cell for revascularization therapy as they incorporate into newly forming vessels and stimulate endogenous revascularization processes. However, CD34 + cell therapy is limited by low cell numbers and engraftment upon transplantation. In this study, a collagen type I biomaterial (matrix) was used to expand and enhance CD34 + cell function and potential underlying mechanisms were examined. Methods: CD34 + cells were enriched from human blood mononuclear cells cultured on fibronectin or matrix by magnetic bead separation. Culture supernatants were analyzed for exosome secretion and content. Results: Compared to fibronectin, matrix derived CD34 + cells had increased proliferation (2.1±0.4 fold), migration (3.2±0.8 fold) and angiogenic potential as determined by incorporation into tube-like structures (3.6±0.6 fold) and capillary network formation (2.3±0.6 fold; p ≤0.002). Exosomes are known to regulate the angiogenic effects of CD34 + cells. Here, we observed a 1.4±0.1 fold increase in secreted CD63 + CD81 + exosomes from matrix-cultured cells compared to fibronectin. In matrix-derived exosomes, we detected greater levels of two microRNAs, miR-21 (7.4±2.6 fold) and miR-210 (2.7±0.6 fold), compared to fibronectin ( p ≤0.03). One miR-21 target of interest, Spry1, is a negative regulator of endothelial cell proliferation and angiogenesis. In matrix-cultured cells, Spry1 mRNA and protein levels were reduced by 5.8±1.0 and 2.9±0.1 fold, respectively ( p ≤0.001). Furthermore, when cells from CVD patients were cultured on matrix, we observed similar results to healthy CD34 + cells: a 3.3±0.9 and 2.5±0.4 fold increase in miR-21 and miR-210, respectively ( p ≤0.03). Matrix-cultured CVD cells also had improved VEGF-mediated migration (2.9±0.7 fold) and increased capillary network formation in an angiogenesis assay (1.7±0.1 fold). Conclusion: Our results suggest that matrix culture may be useful for expanding the number and enhancing the function of CD34 + cells in CVD patients, which may be mediated through suppression of Spry1 activity by exosome-derived miR-21. Therefore, our biomaterial offers a novel strategy to enhance the therapeutic potential of CD34 + cells for vascular regeneration.
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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) | 0.004 | 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".