Comparative characterization of hydrogels from human amniotic membrane and umbilical cord: biological and physicochemical properties
Bibliographic record
Abstract
BACKGROUND: Various forms of decellularized extracellular matrix (dECM), including patches, powders, and hydrogels, have been applied to tissue engineering. Due to a broad need for alternatives to dECM, mostly derived from animal sources, human amniotic membrane (AM) and umbilical cord (UC) as disposable birthing materials can be suitable candidates. The present study developed hydrogels from AM and UC hydrogels and compared their physicochemical and biological properties. MATERIALS AND METHODS: The decellularized and powdered AM and UC tissues were solubilized with pepsin to form pre-gel solutions. The developed hydrogels underwent biological and physicochemical assessments using techniques such as western blot, scanning electron microscopy, immunohistochemistry, and histopathology. RESULTS: UC hydrogel demonstrated a higher elastic modulus and shorter gelation time. Although the western blot results did not show significant differences in concentration of the main ECM components, specific staining showed a higher content of mucopolysaccharides in UC hydrogel as well as collagen fibers in AM hydrogel. Both hydrogels induced a fibroblast-like morphology in the cytoplasm of mesenchymal stromal cells (MSCs). Both hydrogels are suitable for 3D culture systems and support in vivo myogenic differentiation of MSCs. Finally, the hydrogels were found to be biocompatible in vivo and showed infiltration and colonization by host cells in mice. CONCLUSION: This study highlights significant bio-physicochemical variations between human UC and AM hydrogels, emphasizing the need for careful consideration in their application for tissue reconstruction, in vitro culture systems, and cell-delivery techniques.
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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 | 0.000 | 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 | 0.001 |
| 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".