Fabrication of 3D Collagen‐Based Decellularized Biological Scaffolds Using Human Wharton’s Jelly‐Derived Mesenchymal Stem Cells With Differentiation Potential Toward Chondrocytes
Bibliographic record
Abstract
Background: Stem cell‐based regenerative approaches have been developed to treat osteoarthritis (OA) and repair cartilage defects. In the present study, we fabricated a three‐dimensional (3D) collagen‐based decellularized biological scaffold using human Wharton’s jelly‐derived mesenchymal stem cells (hWJ‐MSCs) and analyzed its recellularization and subsequent differentiation potential toward chondrocytes. Methods: MSCs were isolated from human Wharton’s jelly, characterized by flow cytometry, and differentiated toward osteogenic and adipogenic lineages. hWJ‐MSCs were cultured in a 3D collagen scaffold. After the matrix was deposited by the cells, the scaffold was decellularized, and new hWJ‐MSCs were cultured and differentiated into chondrocytes. The efficiency of the decellularization process was assessed using hematoxylin and eosin (H&E) staining, DNA quantification, scanning electron microscopy (SEM), and Raman spectroscopy. Immunohistochemical and transcriptional evaluation of chondrogenic markers, including collagen type II, aggrecan, and osteonectin, was performed. Results: Prepared decellularized scaffolds showed very low levels of nucleic materials compared to intact ones. The integrity and efficiency of the decellularization process were confirmed using SEM. Moreover, a comparison of Raman spectra of intact and decellularized scaffolds demonstrated a remarkable reduction in carbohydrate, lipid, and DNA content. Three weeks after recellularization in the presence of chondrogenic medium, the immunoreactivity and expression levels of specific chondrocyte markers, including collagen type II, aggrecan, and osteonectin, significantly increased compared to negative controls. Conclusion: hWJ‐MSCs and their use in fabricating nucleic acid‐free 3D collagen‐based scaffolds represent a promising in vitro model for investigating how the extracellular matrix (ECM) contributes to specific cell microenvironments. Decellularized ECM can also be utilized to develop novel, cell‐free biomedical products for regenerative medicine.
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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 | 0.000 |
| 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".