Mineral Phase Changes During Intervertebral Disc Degeneration
Bibliographic record
Abstract
ABSTRACT Intervertebral disc disease is a common cause of pain and neurological deficits and is known to be associated with degeneration and calcification. Here we analysed samples of herniated disc material and compared it to material taken from non-herniated discs following surgical treatment in dogs. Our clinical approach to these cases allows collection of samples providing a unique opportunity for a case-controlled study such as this, an opportunity which is not available to the human neurosurgeon. We analysed all samples using Fourier transform infrared (FTIR) spectroscopy, as well as a proportion with X-ray diffraction (XRD) and transmission electron microscopy (TEM). FTIR spectra of the majority of herniated samples were consistent with the presence of crystalline hydroxyapatite, whereas most of the non-herniated discs showed spectra consistent with amorphous phosphate material. XRD analysis and TEM confirmed these findings and identified the amorphous material as amorphous calcium phosphate nanoparticle clusters of ∼ 20 nm diameter and the crystalline hydroxyapatite material as needles up to 100 nm in length. The differences between the herniated and non-herniated discs indicate that the degenerative process involves a conversion of amorphous calcium phosphate into crystalline hydroxyapatite which precedes and may predispose the disc to herniate.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".