Collagen/Poloxamine Hydrogels: Cytocompatibility of Embedded HepG2 Cells and Surface-Attached Endothelial Cells
Bibliographic record
Abstract
The effects of cross-linked poloxamine hydrogels on the cellular function of embedded HepG2 cells and surface-attached endothelial cells were assessed. HepG2 cells embedded within collagen/poloxamine-methacrylate gel survived photo-cross-linking (MTT viability, 78%). There was a gradual increase in cell number during the first week. The cumulative secretion of alpha1-antitrypsin by HepG2 cells showed an almost linear profile. However, lower levels for the collagen/poloxamine-methacrylate matrix were observed when compared with collagen. Endothelial cells attached poorly to poloxamine gels without collagen (alamarBlue reduction ranged from 36 to 63%) and did not spread well. The addition of collagen led to spread cells and alamarBlue reduction levels of 75-93% (24 h after seeding). On day 5, some detachment was noted through analysis of vascular endothelial cadherin staining. Finally, the collagen-containing matrix was used to prepare cylindrical modules containing HepG2 cells to show the utility of this material in modular tissue constructs. A fluorescent cytoplasmic tracer, Vybrant CFDA SE, showed that embedded cells remained viable for more than 2 months, confirming the good cytocompatibility of collagen/poloxamine-methacrylate in the form of modules. The suitability of these modules for preparing uniform, scaleable, and vascularized constructs remains to be demonstrated.
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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) | 0.001 | 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 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".