Nociceptive and inflammatory factors and toll-like receptors: their role in intervertebral disc degeneration and chronic low back pain
Bibliographic record
Abstract
Intervertebral disc degeneration is one of the most common causes of chronic low back pain, which is a leading cause of pain and morbidity worldwide.Current therapeutic strategies are limited by poor etiological understanding and by the lack of disease-modifying drugs.During disc degeneration the extracellular matrix is degraded and fragmented, and the disc undergoes biochemical and structural changes that ultimately lead to biomechanical failure.Non-degenerate discs are minimally innervated, but as they degenerate innervation increases.Increased innervation is a possible pain-generating mechanism.Proteases, proinflammatory cytokines and neurotrophins all increase within the tissue during degeneration.Proteases degrade the extracellular matrix of the disc.Cytokines and neurotrophins function as nociceptive factors, potentially leading to the development of neuronal sensitization and chronic pain.However, the regulation of these components in disc degeneration, especially during early disease stages, is poorly understood.Increased understanding of these mechanisms will identify possible diseasemodifying therapeutic targets.This thesis hypothesized degenerating discs produce and secrete proinflammatory and pronociceptive factors that further degeneration and lead to chronic low back pain.This hypothesis was investigated by carrying out four specific aims.1) Characterized proinflammatory cytokine and neurotrophin release from non-degenerating and degenerating human discs and investigated the effects of the disc secretome on neurons.2) Determined if NGF is regulated by toll-like receptors (TLR).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".