Cardiac tissue engineering: effects of bioreactor flow environment on tissue constructs
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The limited ability of cardiac muscle to regenerate after injury and the small number of organs available for transplantation motivate studies aimed at curative treatment options. Tissue engineering based on the integrated use of cells on biomaterial scaffolds in bioreactors may offer cardiac grafts suitable for surgical attachment to the myocardium or for basic research. In one of the current approaches, neonatal rat cardiomyocytes are combined with collagen sponges, gels or polyglycolic acid scaffolds (PGA). Cultivations performed in dishes, static or mixed flasks or rotating bioreactors yield constructs with a thin (100–200 µm) peripheral layer of tissue expressing markers of cardiac differentiation and able to propagate electrical signals. The non‐uniform cell distribution is a result of oxygen diffusional limitations within the constructs. Cultivations with perfusion of culture medium through the construct enhance the convective‐diffusive oxygen supply and yield 1–2 mm thick constructs with physiologically high and spatially uniform distribution of viable cells expressing cardiac markers. We review here a series of studies we conducted using cells seeded on three‐dimensional scaffolds and cultured in several different bioreactors, to demonstrate that the bioreactor flow environment can have substantial effects on structural and functional properties of cardiac constructs. Copyright © 2006 Society of Chemical Industry
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it