A Bioprinted In Vitro Model for Osteoblast to Osteocyte Transformation by Changing Mechanical Properties of the ECM
Bibliographic record
Abstract
Osteocytes are key contributors to bone remodeling. During the remodeling process, trapped osteoblasts undergo a phenotypic change to become osteocytes. The specific mechanisms by which osteocytes work are still debatable and models that exist to study them are sparse. This work presents an in vitro, bioprinted model based on the previously developed technique, ExCeL, in which a cell-embedded hydrogel is printed and immediately crosslinked using paper as a crosslinker-storing substrate. This process mimics the phenotypical change of osteoblast to osteocyte by altering the mechanical properties of the hydrogel. By printing Saos-2, osteosarcoma cells, embedded in the alginate hydrogel with differing mechanical properties, their morphology, protein, and gene expression can be changed from osteoblast-like to osteocyte-like. The stiffer gel is 30 times stiffer and results in significantly smaller cells with reduced alkaline phosphatase activity and expression of osteoblast-marker genes such as MMP9 and TIMP2. There is no change in viability between cells despite encapsulation in gels with different mechanical properties. The results show that the phenomenon of osteoblasts becoming encapsulated during the bone remodeling process can be replicated using the ExCeL bioprinting technique. This model has potential for studying how osteocytes can interact with external mechanical stimuli or drugs.
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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".