Dexamethasone decreases substance P expression in human tendon cells: an in vitro study
Bibliographic record
Abstract
OBJECTIVE: Glucocorticoid injections are used by rheumatologists to treat chronic tendinopathy. Surprisingly, the mechanisms by which corticosteroids induce pain relief in this condition have not been investigated. Previous studies have shown local substance P (SP) levels to be correlated with tendon pain and tissue pathology. The objective of this study was to determine whether SP production in human tenocytes is modulated by exposure to dexamethasone. METHODS: Human tendon fibroblasts were cultured in the presence or absence of dexamethasone (1-400 nM), an inhibitor of the glucocorticoid receptor, RU486, recombinant TGF-β (2.5 or 5.0 ng/ml) or an inhibitor of the TGF-β receptor (A83.01), recombinant human IL-1β and IL-6. Expression levels of the genes encoding for SP (TAC1) and its preferred receptor (NK1R), IL-1α, IL-1β and IL-6 were determined with quantitative PCR and protein levels of SP were examined by EIA and western blot. RESULTS: Exposure of human tendon cells to dexamethasone resulted in a time-dependent reduction of mRNA for SP in both hamstrings and Achilles tenocytes, whereas NK1R was unaffected. The reduction of SP mRNA was dependent on signalling through the glucocorticoid receptor. SP protein was substantially decreased by dexamethasone. Dexamethasone also prevented induction of SP by IL-1β and by cyclic mechanical loading. CONCLUSION: This study demonstrates that dexamethasone treatment of human tendon fibroblasts reduces the expression of SP through a glucocorticoid receptor-dependent pathway. Drugs interfering with SP signalling could be a future target in the treatment of tendinopathy.
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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".