Multifidus Muscle Fiber Type Distribution is Changed in Mouse Models of Chronic Intervertebral Disc Degeneration, but is not Attenuated by Whole Body Physical Activity
Bibliographic record
Abstract
STUDY DESIGN: Case-controlled animal study. OBJECTIVE: The aim of this study was to investigate whether multifidus muscle fiber type distribution changes in models of interverbal disc (IVD) degeneration and whether this is resolved by physical activity (PA). SUMMARY OF BACKGROUND DATA: The loss of slow type I muscle fibers in the multifidus muscle in people with low back pain is contentious. Data from animal models of IVD degeneration suggest some discrepancies in human studies might be explained by the dependence of slow muscle fiber changes and their underlying mechanisms, on the time since injury and progression of IVD degeneration. It is not yet resolved what changes are apparent once the chronic phase is established. It is also not known whether muscle fiber changes can be resolved by whole body PA. This study aimed to examine slow fiber distribution in the multifidus muscle in models of IVD injury or spontaneous degeneration in animals with or without exposure to PA. METHODS: Two models of IVD degeneration were used. The first model used a genetically modified mouse (SPARC-null) that spontaneously develops IVD degeneration. The second model involved a surgically induced IVD lesion to induce degeneration. Mice in each study were allocated to housing with or without a running wheel for PA. At 12 months of age, the multifidus muscle was harvested. Slow muscle fiber distribution and the mRNA expression of genes associated with muscle fiber type transformation were examined. RESULTS: The proportion and cross-sectional area of slow muscle fibers were reduced in both models of IVD degeneration compared to controls, without evidence of ongoing fiber transformation. Whole-body PA did not attenuate these alterations. CONCLUSION: Results confirmed slow muscle fiber loss in the multifidus in the chronic phase of IVD degeneration induced spontaneously and by injury. Whole-body PA did not attenuate changes to muscle fiber distribution. More specific approaches to muscle activation might be required to achieve more complete reversal of muscle fiber changes, with potential implications for therapy in humans.Level of Evidence: N/A.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".