<i>In vitro</i> response of monocyte‐derived macrophages to a decellularized pericardial biomaterial
Bibliographic record
Abstract
Decellularized tissue-derived heart valves are an example of biomaterials derived from natural scaffolds. These types of implants are increasing in popularity although their in vivo performance is still only poorly understood and has, at times, been catastrophic. It is apparent that better understanding is required before these biomaterials can be used safely. In this study, the human monocyte-derived macrophage (MDM) response to decellularized bovine pericardium (DBP) was used as a model to predict the biological performance of these materials on implantation. Human monocytes differentiated on tissue culture polystyrene (TCPS) for 14 days were trypsinized and reseeded onto DBP, TCPS, and polydimethylsiloxane (PDMS) for 48 h. The MDMs on DBP contained less intracellular and extracellular esterase activity compared with MDMs on TCPS and PDMS, as well as less acid phosphatase activity than on TCPS. As well, morphologically, MDMs on DBP were less spread, less multinucleated and did not display many lamellipodia. Taken together, these data represent the first evidence of the MDM response to intact, native extracellular matrix, demonstrating that these cells reacted with an altered, possibly reduced foreign body response on this natural scaffold compared with the two control surfaces. This in vitro MDM cell model may provide a novel method for predicting and elucidating the biological performance of tissue-derived biomaterials, thereby directing a more rational design of biomaterials for tissue regeneration purposes.
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".