Porcine Umbilical Cord Perivascular Cells for Preclinical Testing of Tissue-Engineered Heart Valves
Bibliographic record
Abstract
Many children born with congenital heart disease need a heart valve repair or replacement. Currently available repair materials and valve replacements are incapable of growth, repair, and adaptation, rendering them inadequate for growing children. Heart valve tissue engineering (HVTE) aims to develop living replacement valves that can meet these needs. Among numerous cell sources for in vitro HVTE, umbilical cord perivascular cells (UCPVCs) are particularly attractive because they are autologous, readily available, and have excellent regenerative capacity. As an essential step toward preclinical testing of heart valves engineered from UCPVCs, the goal of this study was to establish methods to isolate, expand, and promote extracellular matrix (ECM) synthesis by UCPVCs from pigs (porcine umbilical cord perivascular cells [pUCPVCs]), as a relevant preclinical model. We determined that Dulbecco's modified Eagle's medium with 20% fetal bovine serum supported isolation and substantial expansion of pUCPVCs, whereas media designed for human mesenchymal stromal cell (MSC) expansion did not. We further demonstrated the capacity of pUCPVCs to synthesize the main ECM components of heart valves (collagen type I, elastin, and glycosaminoglycans), with maximal collagen and elastin per-cell production occurring in serum-free culture conditions using StemMACS™ MSC Expansion Media. Altogether, these results establish protocols that enable the use of pUCPVCs as a viable cell source for preclinical testing of engineered heart valves. This study establishes methods to successfully isolate, expand, and promote the synthesis of the main extracellular matrix components of heart valves (collagen type I, elastin, and glycosaminoglycans) by porcine umbilical cord perivascular cells (pUCPVCs). These protocols enable further evaluation of pUCPVCs as an autologous, readily available, and clinically relevant cell source for preclinical testing of pediatric tissue-engineered heart valves.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".