EFFECTS OF MAST CELLS ON THE FUNCTION OF ISOLATED HUMAN TENOCYTES
Bibliographic record
Abstract
Introduction Tendinopathy, a pathological condition caused by tendon overuse, adversely affects millions of people in athletic and occupational settings worldwide. The underlying molecular mechanisms in the development of tendinopathy are poorly understood, however, increased mast cell numbers have been detected in human patellar tendinopathy specimens. Mast cells are known to increase fibroblast proliferation and collagen production leading to fibrosis in some tissues. The present study was carried out to determine the effects of mast cells on isolated human tendon fibroblasts (tenocytes) and explore a possible role for mast cells in the development of tendinopathy. Methods Primary human tenocytes were isolated from hamstring tendons of healthy donors. Light and electron microscopy were used to examine a physical association between mast cells (HMC-1) and tenocytes, in vitro. Collagen gel contraction assay was used to examine the effects of mast cells on isolated tenocytes. Cell viability and proliferation was assessed by MTS assay. Gene expression was quantitated by qPCR. Results HMC-1 mast cells were shown by light and electron microscopy to physically bind to primary tenocytes through adherent junctions. Immunostaining for stem cell factor (SCF), a mast cell growth factor, showed homogeneous expression of this protein on the surface of tenocytes. Additionally, qPCR showed an increase in tenocyte SCF mRNA expression in the presence of mast cells. In other experiments, both mast cells and mast cell sonicates were shown to induce tenocyte mediated contraction of collagen gel, which appeared to be driven by TGF-β1. MTS assay showed a mast cell mediated increase in tenocyte survival and proliferation. Discussion These findings suggest that either through physical association with tenocytes and/or release of mediators, mast cells could play a role in the regulation and activation of tenocytes. Further studies are underway to investigate the molecular mechanisms of mast cell-tenocyte interactions and whether these could play a role in the pathogenesis of tendinopathy.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".