Local FK506 dose‐dependent study using a novel three‐dimensional organotypic assay
Bibliographic record
Abstract
Local administration of FK506, an FDA approved immunosuppressant with neuroregenerative properties, is a promising technique to achieve improved peripheral nerve regeneration while preventing the side effects associated with the systemic administration of this drug. Although considerable research has been devoted to the development of clinically suitable systems for local delivery of FK506 to the site of nerve injury and repair, the optimal dose of FK506 for enhancement of axon regeneration in the peripheral nerve has not yet been established. To this end, we devised a three-dimensional (3D) organotypic assay capable of mimicking the peripheral nerve. This assay consisted of a neonatal rat dorsal root ganglion (DRG) extending its neurites into the native peripheral nerve scaffold provided by an acellular nerve allograft (ANA). A novel 3D compartmented cell culture system was adapted from the 3D organotypic assay to achieve local delivery of FK506 just to the growing neurites in vitro and establish the required local dose of FK506 for peripheral nerve regeneration. A bimodal dose response was observed by culturing the entire DRG-ANA construct with media containing different concentrations of FK506. Low drug concentration of 1 pg/ml and high drug concentration of 100 ng/ml lead to the longest neurite extension in vitro. Furthermore, regardless of the FK506 concentration, concentrating the drug to the growing neurites resulted in significant increase in both neurite extension and neurite density, an effect that was not observed with the FK506 delivery to both neurites and neural cell bodies within DRG. The findings in this study provide valuable insight into the optimal local dose of FK506 for peripheral nerve regeneration. Furthermore, for the first time, this study suggests the potential interaction of FK506 with axons at the level of the growth cone.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".