An In Vivo Model of Reduced Nucleus Pulposus Glycosaminoglycan Content in the Rat Lumbar Intervertebral Disc
Bibliographic record
Abstract
In Brief Study Design. An in vivo model resembling early stage disc degeneration in the rat lumbar spine. Objective. Simulate the reduced glycosaminoglycan content and altered mechanics observed in intervertebral disc degeneration using a controlled injection of chondroitinase ABC (ChABC). Summary of Background Data. Nucleus glycosaminoglycan reduction occurs early during disc degeneration; however, mechanisms through which degeneration progresses from this state are unknown. Animal models simulating this condition are essential for understanding disease progression and for development of therapies aimed at early intervention. Methods. ChABC was injected into the nucleus pulposus, and discs were evaluated via micro-CT, mechanical testing, biochemical assays, and histology 4 and 12 weeks after injection. Results. At 4 weeks, reductions in nucleus glycosaminoglycan level by 43%, average height by 12%, neutral zone modulus by 40%, and increases in range of motion by 40%, and creep strain by 25% were found. Neutral zone modulus and range of motion were correlated with nucleus glycosaminoglycan. At 12 weeks, recovery of some mechanical function was detected as range of motion and creep returned to control levels; however, this was not attributed to glycosaminoglycan restoration, because mechanics were no longer correlated with glycosaminoglycan. Conclusion. An in vivo model simulating physiologic levels of glycosaminoglycan loss was created to aid in understanding the relationships between altered biochemistry, altered mechanics, and altered cellular function in degeneration. An in vivo model in the rat lumbar spine simulating reduced glycosaminoglycan content as observed in early degeneration was established. Reduced nucleus glycosaminoglycan resulted in alterations in disc height profile and disc mechanics. This model will be useful in understanding the role of glycosaminoglycan reduction in degeneration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".