GENE EXPRESSION IN TENOCYTES SUGGESTS DEGNERATIVE TENDON TEARS ATTEMPT TO HEAL
Bibliographic record
Abstract
Introduction The breakdown of the extracellular matrix (ECM) is well recognised in tendinopathy and likely the cause of degenerative tendon tears. Tendinopathy and degenerative tears can be hard and expensive to treat. Understanding the cellular processes that lead to ECM breakdown will likely lead to improved treatments. With this in mind, the gene transcript profile for extracellular matrix remodelling of tendon specimens from people with greater trochanteric pain syndrome (GTPS) and associated gluteal tendon tears were compared to an age and sex matched reference group. Methods Tendon specimens were collected from six participants undergoing gluteal tendon reconstruction for long standing (mean duration=41 months) GTPS, and four participants from an age-matched reference group (REF) of hip OA patients asymptomatic for GTPS. Specimens were collected using sterile technique and were stored at −80°C. RNA was isolated via laser capture micro-dissection (LCM) of areas of tendon that typified tendon rather than para-tendon or vessels within the specimen—identified using light microscopy and H&E staining. Specimens were tested using the SABiosciences array (PAHS-013). Immunohistochemistry was used to confirm the site of a subset of the expressed genes. Results We report on gene regulation changes of at least five fold that were seen in the GTPS group compared to the REF group. Genes involved in extracellular matrix modelling were both up regulated (MMP7) and down regulated (MMP3). The following cell adhesion genes were up regulated: ITGAV, NCAM1, ITGAM, while ITG3 was down regulated. The following genes involved in ECM synthesis were up regulated (LAMC1, COL1A1, COL5A1, Col6A1), while ADMATS1, LAMB3, VTN were down regulated. Conclusions This paper presents a novel method of tissue specimen selection (LCM), reducing the likelihood of RNA contamination from cells other than tenocytes. Further, these results suggest that there is increased cell activity and collagen production indicating that the tendon is continuing to actively remodel despite prolonged tissue damage. This supports the role of appropriate advice regarding tendon loading and compression, exercises to strengthen the musclo-tendinous unit, and ongoing support to patients. Recovery from tendinopathy may be possible—even in longstanding cases.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".